Traffic Safety Statistics Report for the District of Columbia (2012-2014)

DRAFT REPORT

Submitted to:

District Department of Transportation 55 M Street SE Washington, DC 20003

Prepared by:

Howard University Transportation Research Center 55 M Street SE Washington, DC 20003

December, 2016

Technical Report Documentation Page 2. Report Date 1. Report No.: DDOT-PPSA-PM-002 02/29/2016 3. Title and Subtitle: 4. Contract or Grant No. Traffic Safety Statistics Report for the District of Columbia PO397719 5. Author(s) Dr. Stephen Arhin, P.E., PTOE, PMP 6. Performing Organization Name and Address: 7. Type of Report and Howard University Transportation Safety Data & Period Covered: Research Center Highway Traffic Safety Data, 2300 Sixth Street NW, Suite 2121 2012 - 2014 Washington, DC 20059 8. Sponsoring Agency Name and Address: District Department of Transportation 55 M Street, SE Washington, DC 20003 9. Supplementary Notes

10. Abstract

This report is a compilation crash statistics and analyses for roadways in the District of Columbia during the period 2012 through 2014. The data covers all roadway classifications and is critical for identifying safety problems and trends, as well as for determining the level of success in achieving highway safety goals of the District Department of Transportation. The crash information reported in this document is characterized by location, severity, vehicle type, crash type, time of the crashes, and various environmental conditions. The compilation is done for the City as a whole, by Wards, and Police Districts. The locations with high crash frequency and/or severity in the District of Columbia are clearly identified. The statistics and analysis presented in this report can be used for developing appropriate countermeasures and performance measures. Combined with similar three-year reports, the information in this report facilitates the analysis of the long-term impact of DDOT’s highway safety programs and projects.

11. Key Words Crash, Traffic Accident, Statistics, Frequency, 12. Distribution Statement Rate, Fatal, Injury, High-Hazardous This document is available through DDOT. Locations, Rank, Traffic Safety 13. Security Classification of 14. Security Classification 15. No. of Pages 16. Price this report: Unclassified of this page: Unclassified 13 N/A

i TABLE OF CONTENTS CHAPTER 1 – INTRODUCTION ...... 1 1.1 Objective ...... 1 1.2 Report Organization ...... 1

CHAPTER 2 – CRASH ANALYSIS METHODOLOGY ...... 3 2.1 Traffic Crash Statistics ...... 3 2.2 High-Hazardous Location Analysis...... 3 2.2.1 Crash Frequency Method ...... 4 2.2.2 Crash Rate Method ...... 4 2.2.3 Crash Severity Cost Method ...... 5 2.2.4 Composite Crash Index ...... 5 2.2.5 Delta Change ...... 6 CHAPTER 3 – SUMMARY OF CRASH TRENDS AND FACTS ...... 7 3.1 2014 DC Crash Statistics Quick Facts...... 7 3.2 DC Crashes Trend for 2005 through 2014 ...... 8

CHAPTER 4 – CRASH STATISTICS AND TRENDS ...... 11 4.1 Temporal ...... 11 4.1.1 Traffic Crashes and Injuries by Hour of the Day ...... 11 4.1.2 Traffic Crashes by Day of the Week ...... 14 4.1.3 Traffic Crashes by Month ...... 14 4.2 Location ...... 16 4.2.1 Crashes by Quadrant ...... 16 4.2.2 Crashes by Ward ...... 18 4.2.3 Crashes by Police Districts ...... 19 4.2.4 Crashes by Advisory Neighborhood Commissions (ANCs) ...... 21 4.2.5 Crashes by On-Street Location...... 24 4.2.6 Crashes by Construction Zone ...... 25 4.3 Crash Classification ...... 25 4.3.1 Crash Severity Type ...... 25 4.3.2 Crash Type ...... 26 4.3.3 Hit-and-Run Crashes ...... 27 4.3.4 Crashes by Vehicle Classification ...... 29 4.3.5 Crashes involving Pedestrians ...... 31 4.3.6 Crashes involving Bicyclists ...... 35 4.3.7 Crashes involving Motorcycles...... 38

ii 4.3.8 Crashes involving DC Properties ...... 42 4.4 Drivers ...... 43 4.4.1 Drivers by Age ...... 43 4.4.2 Drivers by Gender ...... 45 4.4.3 Drivers by State Issued Driver’s License ...... 45 4.4.4 Crashes by Drivers Action ...... 46 4.5 Environmental Conditions ...... 47 4.5.1 Crashes by Roadway Conditions ...... 47 4.5.2 Crashes by Road Surface ...... 48 4.5.3 Crashes by Weather Conditions ...... 49 4.5.4 Crashes by Light Conditions...... 50 4.5.5 Crashes by Traffic Conditions...... 51 4.5.6 Crashes by Traffic Control ...... 52 4.5.7 Crashes by Roadway Functional Classification ...... 53 4.6 Contributing Factors ...... 56 4.6.1 Crashes by Primary Crash Contributing Factors ...... 56 4.6.2 Speed-Related Crashes ...... 56 4.6.3 Alcohol/Drug Related Crashes ...... 59 4.6.4 Crashes by Restraint Use (Seatbelts or Airbags) ...... 61 4.6.5 Crashes by Sobriety ...... 63 4.6.6 Crashes by Driver or Pedestrian Distractions ...... 64 CHAPTER 5 – HIGH CRASH LOCATIONS ...... 65 5.1 Identification of High Hazardous Intersections ...... 65 5.1.1 Ranking of High Hazardous Intersections (2012-2014) ...... 66 5.2 High Frequency Crash Intersection by Type ...... 80 5.3 Identification of High Frequency Crash Corridors ...... 81 5.3.1 Summary of Crashes on Corridors ...... 81 5.3.2 High Frequency Crash Corridors by Average Number of Crashes per Mile ...... 83 5.3.3 Number of Crashes per Intersecting on Corridors ...... 83 CHAPTER 6: EXPOSURE ...... 87 6.1 Fatality Rate per 100 Million Vehicle Miles Traveled (VMT) ...... 87 6.2 Injury Rate per 100 Million Vehicle Miles Traveled (VMT) ...... 88 CHAPTER 7: APPENDICES ...... 90 7.1 Top 100 Hazardous Intersections ...... 90 7.1.1 Rank by Crash Frequency ...... 90 7.1.2 Rank by Crash Rate ...... 97

iii 7.1.3 Rank by Crash Cost ...... 103 7.1.4 Rank by Crash Composite Index ...... 107 7.2 PD-10 Form ...... 117

LIST OF TABLES

Table 3.1: DC Crash Quick Facts for 2014 ...... 7 Table 4.1: Crashes by Hour of the Day for 2014 ...... 12 Table 4.2: Crashes by Day of the week for 2014 ...... 14 Table 4.3: Crashes by Month for 2014 ...... 15 Table 4.4: Crashes by Quadrant for 2014...... 16 Table 4.5: Crashes by Ward from 2012-2014 ...... 18 Table 4.6: Crashes by Police District for 2012-2014 ...... 19 Table 4.7: Crashes by ANCs in 2014 ...... 21 Table 4.7: Crashes by ANCs in 2014 (Cont’d)...... 22 Table 4.8: Crashes by On-Street Location for 2014 ...... 24 Table 4.9: Crashes in Construction Zones for 2011-2014...... 25 Table 4.10: Crash Details in Construction Zones in 2014 ...... 25 Table 4.11: Summary of Crashes by Type in 2014 ...... 27 Table 4.12: Summary of Crash in 2014 by Vehicle Classification ...... 29 Table 4.13: Pedestrian Involved Crashes by Injury Type in 2014 ...... 32 Table 4.14: Bicycle Crashes by Injury Type in 2014 ...... 36 Table 4.15: Motorcyclists Crashes by Injury Type in 2014 ...... 40 Table 4.16: Number Crashes by Age and Year of Drivers for 2012-2014 ...... 43 Table 4.17: Driver Involvement by State of Permit for 2012-2014 ...... 45 Table 4.18: Driver Involvement by Driver Action and Year for 2012-2014 ...... 46 Table 4.19: Summary of Crashes by Roadway Conditions for 2012-2014 ...... 47 Table 4.20: Summary of Crashes by Roadway Surface for 2012-2014 ...... 48 Table 4.21: Summary of Crashes by Weather Condition for 2012-2014 ...... 49 Table 4.22: Summary of Crashes by Street Lighting for 2012-2014 ...... 50 Table 4.23 Summary of Crashes by Light Condition for 2012-2014...... 51 Table 4.24: Summary of Crashes by Traffic Condition in 2012-2014 ...... 52 Table 4.25: Summary of Crashes by Traffic Control in 2012-2014 ...... 53 Table 4.26: Summary of Crashes by Roadway Functional Classification from ...... 54 2012-2014 ...... 54 Table 4.27: Number of Crashes by Contributing Factors in 2012-2014 ...... 57 Table 4.28: Speed-Related Crashes by Age and Gender for 2014 ...... 58 Table 4.29: Alcohol/Drug related Crashes by Day of Week in 2014 ...... 59 Table 4.30: Alcohol/Drug related Crashes by Hour in 2014...... 60 Table 4.31: Alcohol/Drug related Crashes by Gender and Age in 2014 ...... 60 Table 4.32: Frequency of Injures by Injury Code and Air Bag Restraint in 2014 ...... 61 Table 4.33: Number of Injures by Injury Code and Seat Belt Restraint in 2014 ...... 62 Table 4.34 Number of Crashes by Sobriety in 2014 ...... 63 Table 4.35: Crashes by Driver or Pedestrian Distraction in 2014 ...... 64 Table 5.1: Top 20 Hazardous Intersections by Crash Frequency in 2012-2014 ...... 66 Table 5.2: Top 20 Hazardous Intersections by Crash Frequency for 3-Year Periods ...... 67 Table 5.3: Top 20 Hazardous Intersections by Crash Rate in 2012-2014...... 70 Table 5.4: Top 20 Hazardous Intersections by Crash Rate for 3-Year Periods ...... 71 Table 5.5: Top 20 Hazardous Intersections by Crash Severity Cost for 2012-2014 ...... 72

v Table 5.6: Top 20 Hazardous Intersections by Crash Severity Cost for 3-Year Periods ...... 73 Table 5.7: Top 20 Hazardous Intersections by Composite Index for 2012-2014 ...... 74 Table 5.8: Top 20 Hazardous Intersections by Composite Index for 3-Year Periods ...... 75 Table 5.9: Top 20 Hazardous Intersections by Crash Type in 2014 ...... 80 Table 5.10: High Frequency Crash Corridors for 2012-2014 ...... 81 Table 5.11: Summary of High Frequency Crash Corridors for 2012-2014 ...... 82 Table 5.12: High Frequency Crash Corridors by Number of Crash Occurrences per Mile in 2012-2014 ...... 83 Table 5.13: Average Number of Crashes per Intersection on Corridors in 2012 - 2014 ...... 84 Table 6.1: Fatality Rate from 2006 through 2014 ...... 87 Table 6.2: Injury Rate from 2006 to 2014 ...... 89 Table 7.1: Intersection Rank by Crash Frequency for 2012- 2014 (Rank 1~31) ...... 90 Table 7.2: Intersection Rank by Crash Frequency for 2012-2014 (Rank: 34~71) ...... 91 Table 7.3: Intersection Rank by Crash Frequency for 2012-2014 (Rank: 71~100) ...... 92 Table 7.4: Intersection Rank by Crash Frequency for 3-Year Periods ...... 93 (Rank: 1~35) ...... 93 Table 7.5: Intersection Rank by Crash Frequency for 3-Year Periods ...... 94 (Rank: 35~74) ...... 94 Table 7.6: Intersection Rank by Crash Frequency for 3-Year Periods ...... 95 (Rank: 75~100) ...... 95 Table 7.7: Intersection Rank by Crash Rate for 2012-2014 (Rank: 1~34) ...... 97 Table 7.8: Intersection Rank by Crash Rate for 2012-2014 (Rank: 35~72) ...... 98 Table 7.9: Intersection Rank by Crash Rate for 2012-2014 (Rank: 73~100) ...... 99 Table 7.10: Intersection Rank by Crash Rate for 3-Year Periods (Rank: 1~35) ...... 100 Table 7.11: Intersection Rank by Crash Rate for 3-Year Periods (Rank: 36~73) ...... 101 Table 7.12: Intersection Rank by Crash Rate for 3-Year Periods (Rank: 74~100)...... 102 Table 7.13: Intersection Rank by Crash Severity Cost for 3-Year Periods ...... 103 (Rank: 1~35) ...... 103 Table 7.14: Intersection Rank by Crash Severity Cost for 3-Year Periods ...... 104 (Rank: 35~71) ...... 104 Table 7.15: Intersection Rank by Crash Severity Cost for 3-Year Periods ...... 105 (Rank: 73~100) ...... 105 Table 7.16: Intersection Rank by Crash Composite Index for 2012-2014 ...... 107 (Rank: 1~35) ...... 107 Table 7.17: Intersection Rank by Crash Composite Index for 2012-2014 ...... 108 (Rank: 36~71) ...... 108 Table 7.18: Intersection Rank by Crash Composite Index for 2012-2014 ...... 109 (Rank: 72~100) ...... 109 Table 7.19: Intersection Rank by Crash Composite Index for 3-Year Periods ...... 110 (Rank: 1~37) ...... 110 Table 7.20: Intersection Rank by Crash Composite Index for 3-Year Periods ...... 111 (Rank: 38~74) ...... 111 Table 7.21: Intersection Rank by Crash Composite Index for 3-Year Periods ...... 112 (Rank: 75~100) ...... 112

vi LIST OF FIGURES

Figure 3.1: Crash Severity Types for 2014 ...... 8 Figure 3.2: Traffic Crashes and Injury Crashes for 2005-2014 ...... 8 Figure 3.3: Number of Fatalities for 2001-2014 ...... 9 Figure 3.4: Number of Injured Persons for 2001-2014...... 9 Figure 3.5: Number of Disabling Injuries for 2001-2014 ...... 10 Figure 3.6: Number of Non-Disabling Injuries for 2001-2014 ...... 10 Figure 4.1: Total Fatalities by Hour for 2014 ...... 12 Figure 4.2: Crashes and Injuries by Hour of Day for Weekdays for 2014 ...... 13 Figure 4.3: Crashes and Injuries by Hour of Day on Weekends for 2014 ...... 13 Figure 4.4: Crashes and Injuries by Day of Week for 2014 ...... 14 Figure 4.5: Total Crashes by Month for 2011-2014 ...... 15 Figure 4.6: Total Crashes by Quadrant for 2011-2014 ...... 16 Figure 4.7: Crashes, Fatalities, Injuries by Wards for 2014 ...... 17 Figure 4.8: Total Crashes by Ward for 2012-2014 ...... 18 Figure 4.9: Total Crashes by Police District for 2012-2014 ...... 19 Figure 4.10: Crashes, Fatalities, Injuries by Police District for 2014 ...... 20 Figure 4.11: Crashes, Fatalities, Injuries by Advisory Neighborhood Commissions for 2014 ...... 23 Figure 4.12: Crashes by On-Street Location for 2014 ...... 24 Figure 4.13: Crashes Severity Type in 2014 ...... 26 Figure 4.14: Crashes by Type in 2012-2014 ...... 28 Figure 4.15: Hit and Run Crashes in 2014 ...... 28 Figure 4.16: Severity of Hit and Run Crashes in 2014 ...... 29 Figure 4.17: Three-year Trend of Crashes by Vehicle Type ...... 30 Figure 4.18: Three-year Trend of Fatalities by Vehicle Type ...... 30 Figure 4.19: Three-year Trend of Injuries by Vehicle Type ...... 31 Figure 4.20: Three-year Trend of Crashes involving Pedestrians...... 32 Figure 4.21: Three-year Trend of Crashes involving Pedestrians by Age ...... 33 Figure 4.22: Three-year Trend of Crashes involving Pedestrians by Gender...... 33 Figure 4.23: Pedestrian Involved Crashes at Intersections in 2014 ...... 34 Figure 4.24: Three-year Trend of Crashes involving Bicyclists...... 35 Figure 4.25: Three-year Trend of Crashes involving Bicyclists by Age ...... 35 Figure 4.26: Three-year Trend of Crashes involving Bicyclists by Gender...... 36 Figure 4.27: Crashes Involving Bicycles at Intersections in 2014...... 37 Figure 4.28: Three-year Trend of Crashes involving Motorcyclists ...... 38 Figure 4.29: Three-year Trend of Crashes involving Motorcyclists by Age ...... 39 Figure 4.30: Three-year Trend of Crashes involving Motorcyclists by Gender ...... 39 Figure 4.31: Motorcycle Involved Crashes at Intersections in 2014...... 41 Figure 4.32: Three-year Trend of Crashes involving DC Properties ...... 42 Figure 4.33: Crashes involving DC Properties in 2014 ...... 42 Figure 4.34: Crashes Drivers by Age for 2012-2014 ...... 44 Figure 4.35: Injury Type Drivers by Age for 2014 ...... 44 Figure 4.36: Crashes by Gender of Drivers for 2012-2014...... 45

vii Figure 4.37: Drivers Involved in Crashes by State Issued License for 2012-2014 ...... 46 Figure 4.38: Number of Crashes and Injuries by Road Condition ...... 47 Figure 4.39: Number of Crashes and Injuries by Road Surface in 2014...... 48 Figure 4.40: Number of Crashes and Injuries by Weather in 2014 ...... 49 Figure 4.41: Number of Crashes and Injuries by Street Lighting ...... 50 Figure 4.42: Number of Crashes and Injuries by Light Condition in 2014 ...... 51 Figure 4.43: Number of Crashes and Injuries by Traffic Conditions in 2014 ...... 52 Figure 4.44: Number of Crashes and Injuries by Traffic Control ...... 53 Figure 4.45: Crashes and Injuries by Functional Classification ...... 54 Figure 4.46: Number of Speed-Related Crashes by Roadway Functional Classification ...... 55 Figure 4.47: Number of Speed-Related Injuries by Roadway Functional Classification ...... 55 Figure 4.48: Number of Crashes and Injuries per lane-mile by Functional Classification in 2014 ...... 56 Figure 4.49: Speed-Related Crashes in 2014 ...... 58 Figure 4.50: Speed-Related Crashes by Age and Gender ...... 59 Figure 4.51: Alcohol/Drug-Related Crashes by Age and Gender ...... 61 Figure 4.52: Crash Severity by Air Bag Restraint in 2014...... 62 Figure 4.53: Crash Severity by Seatbelt Restraint in 2014 ...... 63 Figure 4.54: Crash Severity by Sobriety in 2014 ...... 64 Figure 4.55: Crash Severity by Driver/Pedestrian Distraction in 2014 ...... 65 Figure 5.1: Top 20 Hazardous Intersections by Crash Rate in 2012-2014 ...... 68 Figure 5.2: Top 20 Hazardous Intersections by Crash Rate in 2014 ...... 69 Figure 5.3: Top 20 Hazardous Intersections by Crash Cost in 2012-2014 ...... 76 Figure 5.4: Top 20 Hazardous Intersections by Crash Cost in 2014 ...... 77 Figure 5.5: Top 20 Hazardous Intersections by Crash Composite Index 2012-2014 ...... 78 Figure 5.6: Top 20 Hazardous Intersections by Crash Composite Index for 2014 ...... 79 Figure 5.7: High Frequency Crash Corridors for 2012-2014...... 82 Figure 5.8: Top 20 Hazardous Intersections by Crash Frequency Index in 2012-2014 ...... 85 Figure 5.9: Top 20 Hazard Intersections by Crash Frequency in 2014 ...... 86 Figure 6.1: Fatality Rate per 100 Million VMT from 2005 through 2014...... 88 Figure 6.2: Injury Rate per 100 Million VMT from 2005 through 2014...... 89 Figure 7.1: Top 100 Hazard Intersections by Crash Number in 2012-2014...... 96 Figure 7.2: Top 100 Hazard Intersections by Crash Cost in 2012-2014 ...... 106 Figure 7.3: Top 100 Hazard Intersections by Crash Composite Index in 2012-2014 ...... 113 Figure 7.4: Top 100 Hazard Intersections by Crash Rate Index in 2012-2014 ...... 114 Figure 7.5: Top 100 Hazard Intersections by Crash Rate Index in 2012-2014 ...... 115 Figure 7.6: Top 20 Hazardous Intersections by Crash Trend through 2012-2014 ...... 116

viii

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University CHAPTER 1 – INTRODUCTION

1.1 Objective This report provides traffic crash statistics for the District of Columbia for the years from 2012 through 2014. The information presented in this report will help the City to meet federal requirements on reporting traffic crashes, and provide a resource for identifying safety trends, development of countermeasures, and evaluating the results of highway safety programs, projects, and policies. The District of Columbia Metropolitan Police Department (MPD) records traffic crash information electronically on the PD-10 crash reporting form, which is the main source of the information presented in this report. The crash data was downloaded through secure servers from MPD into DDOT’s database and was processed via an Oracle-based application called Traffic Accident Reporting and Analysis System (TARAS). TARAS contains data fields that include crash location, date, time, crash type, crash severity, and environmental conditions. This report presents a summary of all reported crash in TARAS 2012, 2013 and 2014. The report also presents statistics on various contributing factors and consequences of all types of vehicle crashes. The results of the can be used to identify safety problems, develop performance measures, and support development and evaluation of highway and vehicle safety countermeasures. This report was prepared by the Howard University Transportation Safety Data Center for the District Department of Transportation’s (DDOT), through a project funded by the Federal Highway Administration (FHWA) of the U.S. Department of Transportation.

1.2 Report Organization This report is divided into seven chapters. Chapter 1 provides a summary of findings presented in this report. Chapter 2 describes the methodology and analytical methods used for this analysis. Chapter 3, Quick Crash Facts and Trends, provides a brief summary of traffic crashes in District of Columbia for the period 2012 through 2014. Chapter 4 presents general crash statistics of the District of Columbia and contains statistics on various categories of traffic crashes, including impaired driver involvement, special vehicle (e.g. truck, bus, and motorcycle), and pedestrian involvement. Chapter 5 provided the list of high-hazardous crash locations and patterns at both intersections and corridors. Chapter 6 presents the exposure

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University information regarding vehicle miles traveled, fatality and injury rates per 100 million vehicle miles traveled, and finally Chapter 7 (Appendices) presents detailed information on the top 100 high crash locations in the District of Columbia.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

CHAPTER 2 – CRASH ANALYSIS METHODOLOGY This section of the report focuses on the methodology used in obtaining the general traffic crash statistics and the identification and analysis of high hazardous crash locations. Descriptive statistics was used to determine the frequency of occurrence, the rates of crashes, as well as crash trends over the 3-year period from 2012-2014.

2.1 Traffic Crash Statistics This report presents detailed statistics of the characteristics of traffic crashes and identifies factors that may have influenced their occurrence. The factors considered include vehicle characteristics, characteristics of involved persons (e.g., drivers, passengers, and pedestrians), physical environment (e.g., roadway type, traffic conditions, and weather conditions), and temporal crash characteristics (e.g., year, month, day, and time of day). The frequencies of crashes are summarized for each factor using descriptive statistics. The statistics of the factors that contribute to crashes in the District of Columbia are presented in tabulated and graphical forms.

2.2 High-Hazardous Location Analysis Frequency and severity of traffic crashes are two critical factors used in identifying high hazardous locations. Generally, a relatively high crash frequency at a location is an indicator of potential adverse condition(s) that may contribute to those crashes. Severity is defined as the extent of injury or damage sustained by individuals or properties involved in crashes. These two factors provide a better understanding of the level of susceptibility of the location of crashes. A macroscopic approach was used to determine the frequency and severity of traffic crashes in this report, thereby providing a starting point for more elaborate safety studies at identified high-hazardous intersections or corridors. Several methods can be used to identify high hazardous locations based on the traffic crash data, exposure and location characteristics. The methods used include crash frequency, crash rate, crash severity, and crash trend (delta change). In addition to these methods, a composite crash index is used, which is a combination of severity and frequency of traffic

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University crashes at a specific location. Each of these methods has advantages and disadvantages. The following subsections provide a brief description of these methods.

2.2.1 Crash Frequency Method Crash frequency represents the number of crashes that occurred within a defined time period at each location. The locations/sites are ranked in a decreasing order of frequency, from highest to the lowest. The site with the highest frequency of crashes is ranked highest on the basis of which a list of locations with their respective ranks is generated. This method of identifying high hazardous locations has some limitations, since it does not consider traffic exposure, location characteristics and contributing factors. Locations with high traffic volumes could experience a higher frequency of crashes, but represent a low to moderate risk for road users. In contrast, a low volume location with fewer crashes could present much greater risk to road users. Crash frequency ranking presents a preliminary identification of locations that may be hazardous from a traffic safety perspective, and which should be further examined to determine critical contributing factors.

2.2.2 Crash Rate Method Crash rate for an intersection is expressed as the average number of crashes per year divided by the volume of traffic entering the intersection per year. The following equation was used to calculate the intersection crash rate:

, , = [1]

where: 𝐴𝐴 𝑥𝑥 1 000 000 R = Crash Rate for an𝑅𝑅 intersection𝑉𝑉 𝑥𝑥 (crashes365 per Million Entering Vehicles (MEV); A = Average number of crashes at the intersection per year; and V = annual average daily traffic volume entering the intersection (vehicles/day) Compared to the crash frequency method of ranking hazardous locations, the crash rate method is more appropriate since it takes traffic volumes (exposure) into account. In this report, the crash rate of each intersection was computed. The intersections were then ranked and sorted in descending order of the crash rate. The location with the largest crash rate

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University received the highest ranking. For locations where traffic volumes were unavailable, their ranking was skipped. The disadvantage of the crash rate method is that comparatively high crash rates could be computed for locations with low traffic volumes, which could lead to erroneous interpretation.

2.2.3 Crash Severity Cost Method The PD-10s contain data fields with codes regarding the injury severity for each person involved in a crash. These codes represent police officers’ observation(s) of the level of severity experienced by persons involved in a crash, if any. In order to properly assess the extent of a crash, the resultant of the crash such as fatality, injury and property damage only (PDO) were utilized to determine the severity of the crash. This procedure is intended to avoid inaccuracies in the crash severity data. For example, the injury condition(s) of person(s) involved in a crash may be updated based on information received after the person(s) involved in the crash is/are sent to the hospital. In this report, the resulting costs of the traffic crash were computed for each location to identify the severity indices, with a higher value of severity index indicating significant level of incapacitation. The costs are computed based on published crash cost rates by the Federal Highway Administration. The crash locations were then ranked in descending order based on the crash severity cost.

2.2.4 Composite Crash Index Each of the methods described thus far provide a limited basis for identifying high- hazardous locations. The composite index method utilizes crash rate, severity and frequency to characterize crash conditions at a location. The three types of rankings (rate, severity, and frequency) are combined to create a composite rank index. The crash rate, crash severity, and crash frequency rankings are combined in the following model in Equation 2 to determine the composite index for crash locations. Composite Crash Index = 0.25*RF + 0.25*RR + 0.50*RS [2] where: RF = Rank of crash severity RR = Rank of crash rate; and

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University RS = Rank of crash frequency To determine the high hazardous crash locations, a ranked list was prepared for each of the three factors. The three rankings of each site were entered into Equation 2 to determine the crash composite index. The three normalized rank lists are weighted using values of 0.25 for frequency, 0.25 for rate, and 0.5 for severity (as shown in Equation 2). The intersections are then sorted in descending order of the crash composite index. The intersection with the lowest composite index is ranked the highest.

2.2.5 Delta Change The delta-change method presents the change in the number of crashes over time, derived from the slope of a linear regression model. This technique utilizes the calculation of the slope to determine the increase or decrease of crashes for a study location. In summary, the delta-change method represents the crash trend over a period of time with positive and negative slope values respectively signifying an increase and decrease in crashes. In addition, the results could be used to project the potential of traffic crashes increasing over time, with the higher slope values indicating that the crashes are likely to increase at a higher rate, and vice versa. The following is the equation of the delta-change method:

[3] ( ) 𝑛𝑛 ∑ 𝑥𝑥𝑥𝑥−𝑛𝑛 ∑ 𝑥𝑥 ∑ 𝑦𝑦 2 2 where: n = Number of years;𝑛𝑛 ∑ 𝑥𝑥 − ∑ 𝑥𝑥 x = Year of study; and y = Number of crashes at study location in year x.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University CHAPTER 3 – SUMMARY OF CRASH TRENDS AND FACTS

This Chapter presents an overview of the traffic crash trends in the District of Columbia for the years 2012 through 2014. The data presented also includes a summary of comparative crash statistics from 2012 through 2014.

3.1 2014 DC Crash Statistics Quick Facts Table 3.1 presents a summary of the crashes reported in the DC from 2012 through 2014. The pie chart in Figure 3.1 represents the percentage distribution of collisions by severity for 2014 only. Table 3.1: DC Crash Quick Facts for 2014 Year 2012 2013 2014 Total Collisions 18,428 19,456 21,539 Fatal Collisions 18 29 24 Injury Collisions 5,258 5,358 5,811 Property Damage Only (PDO) Collisions 13,152 14,069 15,704 Fatalities 19 29 26 Total Non-Fatal Injuries 7,268 7,505 8,030 Disabling Injuries* 336 305 311 Non-Disabling Injuries* 1,257 1,398 1,490 Total Vehicles Involved 36,446 38,382 42,404 Total Persons Involved 44,121 47,690 51,550 Total Pedestrians Involved 919 1,038 1,258 Pedestrian Fatalities 8 12 10 Fatalities/100 Million VMT 0.52 0.79 0.70 Injuries/100,000 Population 1149.41 1160.96 1218.71 *Note: the increase in the number of reported crashes could be due to improved crash reporting system implemented by MPD and DDOT.

Table 3.1 shows that the total number of crashes recorded in 2014 increased from 2013 while fatalities decreased compared to the previous year. The most frequent crash severity type recorded in 2014 was Property Damage Only (PDO), which represented approximately 73% (15,704) of all crashes for that year. Injury and fatality crashes respectively represented about 27% and 0.1% of the total crashes recorded in 2014.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Fatal Collisions Injury Collisions PDO Collisions

0.1%

27.0%

72.9%

Figure 3.1: Crash Severity Types for 2014

3.2 DC Crashes Trend for 2005 through 2014

Figure 3.2 shows the trends in total crashes and resulting in injuries by year from 2005 through 2014. The figure shows that there has been a consistent increase in the number of crashes since 2011 until 2014. Figure 3.3 shows the number of fatalities by year, while Figure 3.4 presents the number of injured persons recorded by year from 2001 through 2015. The summary of the number of disabling and non-disabling injuries by year are presented in Figures 3.5 and 3.6, respectively.

Total Collisions Injury Collisions

25,000 21,539 20,000 19,456 17,657 17,955 17,951 18,428 16,209 16,147 16,841 15,106 15,000

10,000 5811 5,060 5210 5,258 5,358 4,989 4,264 4,071 4,578 4,676 5,000 No. of Collisions of No.

0 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Year

Figure 3.2: Traffic Crashes and Injury Crashes for 2005-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

80 68 70 71 60 54 50 50 45 49 41 39 40 32 29 30 33 26 No. of Fatalities of No. 20 25 19 10

0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Year

Figure 3.3: Number of Fatalities for 2001-2014

12,000 10,758

10,000 8,775 8,233 7,335 7,505 8,000 7,061 8,054 6,792 6,529 8,030 7,524 7,268 6,000 6,571 7,068

4,000

No. of Injured Persons 2,000

0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Year

Figure 3.4: Number of Injured Persons for 2001-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

600 567

500 464 470 472 456 400 363 347 336 311 357 306 303 300 305 305 200

100

No. of Disabling Injured No. of Injured Disabling Persons 0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Year

Figure 3.5: Number of Disabling Injuries for 2001-2014

2,500

2,087 2,000 1,785 1,667 1,490 1,490 1,500 1,343 1,363 1,548 1,536 1,257 1,431 1,398 1,270 1,301 1,000 Disabling Injured Injured Disabling Persons 500

No. of Non - 0 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Year

Figure 3.6: Number of Non-Disabling Injuries for 2001-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University CHAPTER 4 – CRASH STATISTICS AND TRENDS

This section of the report presents descriptive statistics for traffic crashes reported in the District of Columbia from 2012 to 2014. Some of the characteristics used in this analysis include crash location, crash occurrence time, crash type, roadway user and vehicle contributing factors, road conditions and geometric characteristics. The analysis focused on following: • Temporal: time of crash occurrence such as year, month, date, time and day of week; • Location: crash location identified by pre-defined areas such as Ward, Quadrant, and Police District • Crash Characteristics: involved roadway users, related vehicle types, and others • Crash Severity: fatal crash, injury crash, or property damage only • Environmental Factors: road condition, light condition, weather condition, etc. • Alcohol/Drug Involvement • Hit and Run

4.1 Temporal The tables and figures in this section present the frequencies and distributions of crashes by time of day, day of week, day of month, month and year.

4.1.1 Traffic Crashes and Injuries by Hour of the Day Table 4.1 presents the frequency of crashes for weekdays and weekends by hour of day for 2014. From the table, the majority of the crashes were reported between the hours of 3 P.M. (hour 15) and 6 P.M. (hour 18), with the highest number of reported injuries (563) occurring in hour 16 (4 P.M.). The total number of fatalities in 2014 recorded by the hour is presented in Figure 4.1. The maximum number of fatalities recorded by the hour was 4 in hour 8 (8 A.M.).

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 4.1: Crashes by Hour of the Day for 2014 Hour Collisions Fatalities Injuries 00 574 0 187 01 448 1 137 02 484 3 164 03 527 2 224 04 267 1 101 05 255 1 99 06 481 0 215 07 831 1 348 08 1,264 4 550 09 1,202 0 440 10 972 0 321 11 998 1 364 12 1,088 1 428 13 1,028 0 408 14 1,173 1 454 15 1,444 0 524 16 1,491 3 563 17 1,566 1 531 18 1,384 0 485 19 955 3 355 20 796 0 283 21 775 1 288 22 804 0 310 23 731 2 251 Total 21,538 26 8,030

5 4 4 3 3 3 3 2 2 2 1 1 1 1 1 1 1 1 1 No. of Fatalities 1 0 0 0 0 0 0 0 0 0 0 000102030405060708091011121314151617181920212223 Hour

Figure 4.1: Total Fatalities by Hour for 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Figures 4.2 and 4.3 show the crashes and injuries by the hour of day for weekdays and weekends respectively. The figures show that the crash frequency in 2014 was highest during hour 17 (5 P.M.) on weekdays and hour 3 (3 A.M.) on the weekends.

1600 Collisions Injuries

1400 1310 1,004 1200 1143 1162 1109 1062 1000 882 832 793 795 744 785 800 712

565 600 536 481 533 485 420 432 382 385 400 295 289 465 253 265

No. of Collisions/Injuries 377 179 185 165 314 319 190 167 200 123 308 89 90 262 46 69 74 211 194 40 166 25 0 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23

Hour Figure 4.2: Crashes and Injuries by Hour of Day for Weekdays for 2014

Collisions Injuries 450 404 400

350 321 299 291 282 300 269 275 268 256 256 243 247 243 242 246 250 231 203 200 184 177 179 140 150 135 121 116 108 98 91 90 99 98 100 76 87 119 69 69 104 55 59 114 99 98 No. of Collisions/Injuries 95 49 40 90 84 50 25 72

0 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Hour Figure 4.3: Crashes and Injuries by Hour of Day on Weekends for 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.1.2 Traffic Crashes by Day of the Week Table 4.2 shows the frequencies of crashes reported by the day of the week. This is also shown in Figure 4.4. From the table and figure, the highest number of crashes, fatalities and injuries occurred on Friday while the lowest number of crashes and injuries was observed on Sunday.

Table 4.2: Crashes by Day of the week for 2014 2014 Collisions Fatalities Injuries Sunday 2,337 4 877 Monday 2,844 1 1,086 Tuesday 3,140 1 1,150 Wednesday 3,235 5 1,175 Thursday 3,179 4 1,154 Friday 3,672 6 1,318 Saturday 3,132 5 1,270 Total 21,539 26 8,030

4000 3672 3235 3500 3140 3179 3132 2844 3000 2337 2500

2000 No. of Collision of No. 1500

1000

Day

Figure 4.4: Crashes and Injuries by Day of Week for 2014

4.1.3 Traffic Crashes by Month Table 4.3 and Figure 4.5 respectively show the overall vehicle crashes by month in 2014 and by month for 2011 through 2014. From the table, the highest number of crashes occurred in October while the lowest occurred in February.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 4.3: Crashes by Month for 2014 Month Crashes Fatalities Injuries January 1,563 3 556 February 1,461 1 512 March 1,724 6 628 April 1,832 0 668 May 2,011 3 782 June 1,891 1 739 July 1,825 2 702 August 1,733 3 685 September 1,881 4 768 October 2,066 0 760 November 1,787 3 649 December 1,765 0 581 Total 21,539 26 8,030

2012 2013 2014

2100 2000 1900 1800 1700 1600 1500 1400

No. of Collisions 1300 1200 1100 1000 1 2 3 4 5 6 7 8 9 10 11 12

Month

Figure 4.5: Total Crashes by Month for 2011-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.2 Location

4.2.1 Crashes by Quadrant This section presents the frequency of crashes reported in each quadrant in DC. The summary of the crashes by each quadrant is presented in Table 4.4 and shown in Figure 4.6. From the table and figure, it can be observed that the Northwest (NW) quadrant recorded the highest number of reported crashes from 2011 through 2014. Since the NW quadrant is the largest coverage area and therefore has the highest mileage, most of the reported crashes occur in that quadrant. The GIS map for the crashes by quadrant is presented in Figure 4.7. Table 4.4: Crashes by Quadrant for 2014 Quadrant # of Collisions Fatalities Injuries NW 10,526 7 3,178 NE 4,829 5 2,016 SE 3,517 9 1,540 SW 556 0 206 BR 1,438 3 735 Unknown 673 2 355 Total 21,539 26 8,030 Note: NW=Northwest, NE=Northeast, SE=Southeast, SW=Southwest, BR=Border

2012 2013 2014

12,000

10,000

8,000

6,000

4,000

Number of Collisions 2,000

0 NW NE SE SW BN

Quadrant

Figure 4.6: Total Crashes by Quadrant for 2011-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 4.7: Crashes, Fatalities, Injuries by Wards for 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.2.2 Crashes by Ward The frequency and distribution of crashes by Ward are presented in Table 4.5 and Figure 4.7 for 2012 through 2014. The highest crash frequency occurred in Ward 2, representing approximately 20% of all traffic crashes in 2014, followed by Ward 5 with approximately 12% of the total crashes. Wards 2 and 5 experienced, again, the highest frequencies of injury crashes as shown in Table 4.5. The summary also shows that, all the Wards recorded increases (between 5-16%) in the number if crashes from 2013 to 2014.

Table 4.5: Crashes by Ward from 2012-2014 2012 2013 2014 Ward # of Crashes Fatalities Injuries # of Crashes Fatalities Injuries # of Crashes Fatalities Injuries 1 1,456 0 479 1,528 4 502 1,637 0 505 2 3,807 1 1,035 3,905 3 1,015 4,211 2 1,089 3 1,119 0 376 1,039 1 362 1,168 1 345 4 1,429 0 658 1,531 0 642 1,615 0 643 5 2,061 5 981 2,297 2 987 2,593 1 1,149 6 2,079 2 730 2,088 5 661 2,134 3 727 7 1,469 3 779 1,773 6 915 2,049 4 974 8 1,122 1 521 1,311 4 675 1,486 1 654 Border 1,655 3 693 1,612 1 587 1,879 5 739 Unknown 2231 4 1016 2,372 3 1,159 2,767 9 1,205 Total 18,428 19 7,268 19,456 29 7,505 21,539 26 8,030

2012 2013 2014

4,000

3,500

3,000

2,500

2,000

1,500 # of Collisions

1,000

500

0 1 2 3 4 5 6 7 8 Border Ward

Figure 4.8: Total Crashes by Ward for 2012-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.2.3 Crashes by Police Districts The crash frequencies by Police Districts from 2012 through 2014 are shown in Table 4.6 and depicted in Figure 4.9. From the table and figure, Police District 1 recorded the highest frequency of crashes; an average of 20%, during the three year period. There were modest increases in the crash frequencies in some of the Police Districts over the 3-year period. Also, Districts 1 and 2 recorded approximately 39% of the total crashes combined from 2012 through 2014. The GIS map for the crashes by Police District in 2014 is presented in Figure 4.10. Table 4.6: Crashes by Police District for 2012-2014 2012 2013 2014 Police # of # of # of District Fatalities Injuries Fatalities Injuries Fatalities Injuries Crashes Crashes Crashes

1 4,143 4 1,441 4,045 3 1,425 4,248 7 1,546 2 3,709 1 1,080 3,775 5 1,081 4,173 5 1,047 3 2,252 1 763 2,349 3 724 2,602 2 816 4 2,257 3 1,038 2,418 1 1,010 2,588 1 1,026 5 2,363 4 1,090 2,588 3 1,068 3,043 0 1,306 6 1,962 4 1,048 2,300 5 1,180 2,760 7 1,340 7 1,576 1 775 1,798 4 972 1,966 4 896 Unknown 166 1 33 183 5 45 159 0 53 Total 18,428 19 7,268 19,456 29 7,505 21,539 26 8,030

2012 2013 2014

4,500

4,000

3,500

3,000

2,500

2,000

No. Collisions of 1,500

1,000 1 2 3 4 5 6 7 District

Figure 4.9: Total Crashes by Police District for 2012-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 4.10: Crashes, Fatalities, Injuries by Police District for 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.2.4 Crashes by Advisory Neighborhood Commissions (ANCs) Washington DC has 37 Advisory Neighborhood Commissions (ANCs). The summary of the crash statistics for each ANC is presented in Table 4.7. Table 4.7: Crashes by ANCs in 2014 ANC Description Crashes Fatalities Injury Unknown Unknown 2767 9 1205 1A Columbia Heights, Pleasant Plains 423 0 144 1B Cardozo, Howard University, LeDroit Park, Shaw 751 0 226 Adams Morgan, Kalorama Heights, Lanier Heights, Western U 1C 256 0 58 Street 1D Mount Pleasant 46 0 13 2A Foggy Bottom, West End 616 0 160 2B DuPont Circle 886 1 204 Blagden Alley, Chinatown, Logan Circle, Mount Vernon Square, 2C 486 0 130 Shaw 2D Kalorama, Sheridan 52 0 7 2E Burleith, Georgetown, Hilandale 533 0 113 2F Logan Circle 843 1 248 3B Cathedral Heights, Glover Park 53 0 7 Cathedral Heights, Cleveland Park, Massachusetts Heights, 3C 356 0 75 McLean Gardens, Woodley Park American University, Foxhall, Kent, The Palisades, Spring 3D 190 0 65 Valley, Wesley Heights 3E American University Park, Friendship Heights, Tenleytown 147 0 49 3F Forest Hills, North Cleveland Park, Tenleytown 214 1 69 3G Chevy Chase 109 0 40 Brightwood, Colonial Village, Crestwood, Shepherd Park, 4A 228 0 77 Sixteenth Street Heights Brightwood, Lamond-Riggs, Manor Park, Riggs Park, South 4B 414 0 200 Manor Park, Takoma Columbia Heights, Crestwood, Petworth, Sixteenth Street 4C 370 0 140 Heights 4D Petworth 177 0 51 Brookland, Fort Lincoln, Michigan Park, North Michigan Park, 5A 533 1 255 University Heights, Woodridge Arboretum, Brentwood, Brookland, Carver, Langdon, Langston, 5B 1147 0 487 Ivy City, Trinidad 5C Bloomingdale, Eckington, Edgewood 720 0 313 6A North Lincoln Park, Rosedale, Stanton Park 361 1 136 6B Barney Circle, Capitol Hill, Eastern Market 456 0 126 6C Near Northeast, Penn Quarter, Union Station 898 0 294 Carrollsburg, Fort McNair, Navy Yard, Near 6D 410 0 158 Southwest/Southeast, Waterfront 7A Fort DuPont, Greenway, River Terrace 346 0 166 7B Fairfax Village, Hillcrest, Penn Branch, Randle Highlands 294 1 121 7C Burrville, Deanwood, Grant Park, Lincoln Heights 298 1 133 7D Eastland Gardens, Kenilworth, Kingman Park, Mayfair 438 2 200 7E Benning Heights, Capitol View, Fort Davis, Marshall Heights 285 0 160 8A Anacostia, Fairlawn, Fort Stanton, Hillsdale 310 0 114

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 4.7: Crashes by ANCs in 2014 (Cont’d) ANC Description Crashes Fatalities Injury 8B Garfield Heights, Knox Hill, Shipley Terrace 310 0 128 Barry Farms, Bolling Air Force Base, Congress Heights, St. 8C 352 0 193 Elizabeth’s Hospital 8D Bellevue, Far Southwest 213 0 85 8E Congress Heights, Valley Green, Washington Highlands 164 0 63 Border Border between ANCs 4087 8 1617 Total 21,539 21,539 26

From the summary presented in Table 4.7, ANC 5B (Arboretum, Brentwood, Brookland, Carver, Langdon, Langston, Ivy City, Trinidad) and 6C (Near Northeast, Penn Quarter, Union Station) were the top two ANCs that had the highest crash frequencies in 2014. The border lines between the various ANCs recorded the highest crash frequencies. Presented in Figure 4.11 is a GIS map showing the crash frequency distributions by the ANCs in 2014.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 4.11: Crashes, Fatalities, Injuries by Advisory Neighborhood Commissions for 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.2.5 Crashes by On-Street Location In order to identify contributory factors of a crash and present recommendations for mitigation, it is necessary to determine crashes that occur at intersections, within close proximity to intersections and elsewhere. The summary of the crashes by on-street location is presented in Table 4.8 and Figure 4.12. From the results, the majority of the crashes (7,368 or approximately 34% of the total crashes) occurred within 100 feet of intersections in 2014. This is followed by crashes that occurred at intersection, representing approximately 30% (6,430) of the total crashes. Table 4.8: Crashes by On-Street Location for 2014 Total Fatal Injury PDO On Street Fatalities Injuries collisions Collisions Collisions Collisions At Intersection 6,430 7 2,373 4,050 7 3,359 N/A 942 0 200 742 0 272 Not at 6,037 11 1,321 4,705 13 1,848 Intersection Other 329 0 76 253 0 97 Private Property 432 0 71 361 0 85 Within 100ft of 7,368 5 1,770 5,593 5 2,369 Intersection Unknown 1 1 0 0 1 0 Total 21,539 24 5,811 15,704 26 8,030

PDO Collisions Injury Collisions Fatal Collisions

8,000

7,000

6,000 5,593

5,000 4,050 4,000 4,705

3,000

2,000 742 2,373 253 361 1,000 1,321 1,770 200 76 71 0 At N/A Not at Other Private Within 100ft Intersection Intersection Property of Intersection

Figure 4.12: Crashes by On-Street Location for 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.2.6 Crashes by Construction Zone Safety in construction zones continues to be a high priority for traffic engineering professionals and highway agencies. As a result, there is the need to assess crashes in such zones in order to identify mitigation strategies to reduce them. Table 4.9 shows the 3-year summary of crashes recorded in construction zones while Table 4.10 compares crashes in construction zones with those in non-construction zones in 2014. From Table 4.9, there has been a steady decline in the frequency of crashes in construction zones from 2011 to 2014. In Table 4.10, there were a total of 643 crashes (3% of the total number of crashes) which occurred in construction zones resulting in 1 fatality and 210 injuries in 2014. Table 4.9: Crashes in Construction Zones for 2011-2014 Year 2011 2012 2013 2014

Number of Collisions in 854 715 720 643 Construction Zone

Percentage of Collisions in 4.76% 3.88% 3.70% 2.99% Construction Zone

Table 4.10: Crash Details in Construction Zones in 2014 Total Fatal Injury PDO Construction Zone Fatalities Injuries Collisions Collisions Collisions Collisions Construction Zone 643 1 158 484 1 210 Not In 20,896 23 5,653 15,220 25 7,820 Construction Zone Total 21,539 24 5,811 15,704 26 8,030

4.3 Crash Classification This section presents crash statistics by vehicle type, road-user characteristics, and factors related to the roadway environment.

4.3.1 Crash Severity Type Figure 4.13 presents the summary of crashes recorded in the DC in 2014 by crash severity. The classifications are: fatalities, injury and PDOs.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Fatal Collisions Injury Collisions PDO Collisions

0.1%

27.0%

72.9%

Figure 4.13: Crashes Severity Type in 2014

From Figure 4.13, the most crash severity type recorded in 2014 was Property Damage Only (PDO), which represented approximately 72.9% of all crashes in 2014. Crashes resulting in injury represented approximately 27% of the crashes recorded while fatalities were 0.1% of the total crashes.

4.3.2 Crash Type Table 4.11 presents the summary of the total number of crashes distributed by crash type in 2014. Crash frequencies of all the types from 2012 to 2014 are presented in Figure 4.14. From the figure, side swipe, rear end, left-turn hit, right angle and parked vehicle crashes were the most common crashes during the 3-year period. Together, they accounted for approximately 71% of the total crashes in 2014. Approximately 29% of the crashes were side swipe crashes, 23% rear-end crashes, and 7% each for right angle, left turn and parked vehicle crashes.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 4.11: Summary of Crashes by Type in 2014 Total Fatal Injury PDO Type of Crash Fatalities Injuries Crashes Crashes Crashes Crashes

Backing Hit Moving Veh. 366 0 33 333 0 47 Backing Hit Parked Veh. 610 0 22 588 0 27 Backing Hit Ped. 79 0 62 17 0 67 Fixed Object 889 5 214 670 5 288 Head On 590 2 284 304 3 437 Left Turn Hit Ped. 264 3 235 26 3 250 Left Turn Hit Veh. 1,439 0 462 977 0 692 Non-Collision Accident 84 0 47 37 0 56 Other 739 1 206 532 2 300 Override 28 0 6 22 0 7 Parked Vehicle 1,402 0 124 1,278 0 165 Ran Off Roadway 227 2 71 154 2 94 Rear End 4,840 1 1,766 3073 1 2,614 Right Angle 1,472 2 588 882 2 928 Right Turn Hit Ped. 100 0 85 15 0 87 Right Turn Hit Veh. 851 0 137 714 0 206 Side Swiped 6,202 0 657 5,545 0 877 Straight Hit Ped. 480 7 413 60 7 451 Underride 7 0 1 6 0 1 Unknown 870 1 398 471 1 436 Total 21,539 24 5,811 15,704 26 8,030 Key: Ped. = Pedestrian; Veh. = Vehicle

4.3.3 Hit-and-Run Crashes The summary of reported hit-and-run crashes is presented in Figure 4.15. Hit and run crashes showed a 1.2% increase in 2014 from 2013. The percentage of hit and run crashes from 2012 to 2014 also shows an increase by nearly 2.7%. Figure 4.16 shows the resulting severity of hit and run crashes in 2014. In all, hit-and-run crashes resulted in 4 fatalities in 2014.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

2012 2013 2014

Underride Override Non-Collision Accident Backing Hit Ped. Right Turn Hit Ped. Left Turn hit Ped. Ran Off Roadway Backing Hit Moving Veh. Straight Hit Ped. Unknown Head On Backing Hit Parked Veh. Right Turn Hit Veh. Fixed Object Other Parked Vehicle Left Turn Hit Veh.

Type of Collision Right Angle Rear End Side Swiped

0% 5% 10% 15% 20% 25% 30% Percentage

Figure 4.14: Crashes by Type in 2012-2014

Number Percentage

7055 7100 32%

6600 31% 31.0% 6027 6100 30%

29.8% 5600 5489 29%

5100 28% 28.3% 4600 27%

4100 26% 2012 2013 2014

Figure 4.15: Hit and Run Crashes in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Fatal Collisions Injury Collisions PDO Collisions

100% 90% 80% 70% 15,704 6,235 60% 50% 40% 30% 20% 5,811 816 10% 4 24 0% Hit and Run Collisions All Collisions

Figure 4.16: Severity of Hit and Run Crashes in 2014

4.3.4 Crashes by Vehicle Classification Crashes involving buses, trucks, motorcycles, and bicycles are also of special interest. Crashes involving these special vehicles often pose increased risk of serious or fatal injuries. The summary of crash frequencies by vehicle classification in 2014 is presented in Table 4.12.

Table 4.12: Summary of Crash in 2014 by Vehicle Classification Vehicle Involved Crashes Fatalities Injuries Passenger Auto 30,634 24 12,844 Bus 2,283 1 581 Taxi Cab 1,997 0 478 Motorcycle 243 2 149 Bicycle 851 1 681 Truck/Trailer 2,784 8 767

From the table, passenger automobiles were the most vehicles involved in crashes followed by trucks and/or trailers and buses. Crashes that resulted in fatalities and injuries were predominantly those involved with passenger cars as well. Overall, crashes involving bicycles and motorcycles represented approximately 2.8% of the total number of crashes in 2014. Presented in Figures 4.17 through 4.19 are the 3-year crash trends by vehicle type and outcomes (injuries and fatalities).

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Overall, the trend in reported crashes involving trucks, buses and bicycles showed a consistent increase from 2012 to 2014. There was an overall decline in fatalities for most vehicle types except for trucks/trailers from 2013 to 2014. Similarly, there was an increase in the number of injuries over the same period involving passenger autos, buses, bicycles and trucks/trailers.

Bus Taxi Cab Motorcycle Bicycle Truck/Trailer

3000

2500

2000

1500

1000

500 Number of Collisions 0 2012 2013 2014 Year Figure 4.17: Three-year Trend of Crashes by Vehicle Type

Bus Taxi Cab Motorcycle Bicycle Truck/Trailer

Number of Collisions 1

0 2012 2013 2014 Year Figure 4.18: Three-year Trend of Fatalities by Vehicle Type

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Bus Taxi Cab Motorcycle Bicycle Truck/Trailer

900 800 700 600 500 400 300 200

Number of Collisions 100 0 2012 2013 2014 Year

Figure 4.19: Three-year Trend of Injuries by Vehicle Type

4.3.5 Crashes involving Pedestrians Since approximately 49% of workers in the District either commute by public transportation or walk to work, it is necessary to understand the causes and severity of crashes involving pedestrians. Presented in Figures 4.20 through 4.22 are the summaries of crashes involving pedestrians from 2012 through 2014 classified by age and gender. From the figures, there was an increase in the total number of pedestrian crashes in 2014 compared to those in 2013 and 2012. In addition, the distribution also shows that pedestrians in the age group of 21-30 were the most involved in crashes. Comparing crashes in 2013 to 2014, there was a decrease in crashes involving males and female pedestrians. Presented in Table 4.13 is a summary of injury codes reported by pedestrians in 2014 after being involved in a crash. Approximately 40% of the 1,101 pedestrians complained but did not have any visible injuries. Lastly, Figure 4.23 shows the pedestrian-involved crashes at intersections in 2014.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Number of Pedestrian Involved Percentage of Pedestrian Involved Collisions

1400 6.0% 1258 1200 5.8% 1038 5.84% 5.6% 1000 919 5.34% 5.4% 800 5.2% 600 4.99% 5.0% 400 4.8%

200 4.6% Percentage of Collisions of Percentage Number of Collisions of Number 0 4.4% 2012 2013 2014 Year

Figure 4.20: Three-year Trend of Crashes involving Pedestrians

Table 4.13: Pedestrian Involved Crashes by Injury Type in 2014 Injury Code Frequency Complaint but not visible 440 Disabling 74 Fatalities 10 Non-Disabling 289 No Injury 214 Unknown 22 Other 52 Total 1,101

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

2012 2013 2014

30%

25%

20%

15%

10% Percentage

Age

Figure 4.21: Three-year Trend of Crashes involving Pedestrians by Age

Female Ped Male Ped

100% 90% 80% 50.4% 52.0% 49.0% 70% 60% 50% 40% 30% 53.6% 49.6% 48.0% 20% Percentage Percentage of Collisions 10% 0% 2012 2013 2014

Year

Figure 4.22: Three-year Trend of Crashes involving Pedestrians by Gender

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 4.23: Pedestrian Involved Crashes at Intersections in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.3.6 Crashes involving Bicyclists With the increasing use of bicycles in the District of Columbia, it is pertinent to determine crashes involving bicyclists. Figures 4.24 through 4.27 present the summaries of crashes involving bicyclists from 2012 through 2014 in terms of total crashes, by age and gender.

Number of Bicyclist Involved Percentage of Bicyclist Involved Collisions

900 863 4.20% 850 4.00% 800 4.01% 750 3.80% 700 652 3.60% 650 642

600 3.48% 3.40% 550 3.35% 3.20% No. of Collisions of No. 500 450 3.00% 2012 2013 2014 Year

Figure 4.24: Three-year Trend of Crashes involving Bicyclists

2012 2013 2014

40%

35%

30%

25%

20%

15%

Percentage 10%

0% Under 10 11~20 21~30 31~40 41~50 51~60 61~70 Over 70 Unknown Age Groups

Figure 4.25: Three-year Trend of Crashes involving Bicyclists by Age

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Male Female

100% 22.7% 21.2% 90% 25.3% 80% 70% 60% 50% 77.3% 78.8% 40% 74.7% 30% 20%

Percentage of Collisions 10% 0% 2012 2013 2014 Year Figure 4.26: Three-year Trend of Crashes involving Bicyclists by Gender Crashes involving bicyclists increased by approximately 34% over the 3-year period. From the figures, there was a significant increase in the total number of bicycle crashes in 2014 compared with those in 2012 and 2013. In addition, the distribution also shows that bicyclists in the age group of 21-30 were the most involved in those crashes. Compared to the reported 2013 bicycle crashes, there was an increase in 2014 involving male bicyclists while the female bicyclists’ crashes reduced. Figure 4.27 shows a GIS map for bicycle crashes at intersections in 2014. Presented in Table 4.14 is a summary of injury types reported by bicyclists in 2014 after being involved in a crash. The majority of the bicyclists (~28%) complained about the outcome of the crash they were involved but did not have disabling nor visible injuries.

Table 4.14: Bicycle Crashes by Injury Type in 2014 Injury Type Number Complaint but not visible 233 Disabling 55 Fatal 1 Non-Disabling 287 No Injury 175 Other 55 Unknown 38 Total 844

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 4.27: Crashes Involving Bicycles at Intersections in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.3.6 Crashes involving Motorcycles The summaries of crashes involving motorcycles from 2012 through 2014 are presented in Figures 4.28 through 4.30. The summaries are presented in terms of total number of crashes, crashes by age and crashes by gender. From the figures, there was a slight decrease in the total number of crashes in 2014 compared with those in 2013. In addition, the distribution also shows that motorcyclists in the age group of 21-30 and 31-40 were the most involved in crashes. Compared with 2013 crashes, there was a significant decrease in crashes involving females while an increase in the percentage of crashes involving male motorcyclists was reported in 2014.

Number of Motorcyclist Involved Percentage of Motorcyclist Involved Collisions

300 1.48% 1.48% 1.5% 288 286

280 273 1.5%

260 1.4%

240

1.33% 1.4% 220 Collisions of Percentage Number of Collisions of Number

1.3% 200

180 1.3% 2012 2013 2014

Figure 4.28: Three-year Trend of Crashes involving Motorcyclists

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

2012 2013 2014

40%

35%

30%

25%

20%

15% Percentage 10%

Figure 4.29: Three-year Trend of Crashes involving Motorcyclists by Age

Male Female

100%

8.4% 95% 12.6% 15.6%

90%

85% 91.6% Percentage of Collisions 87.4% 84.4% 80%

75% 2012 2013 2014

Figure 4.30: Three-year Trend of Crashes involving Motorcyclists by Gender

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Presented in Table 4.15 is a summary of injury types reported by motorcyclists in 2013 after being involved in a crash. The majority of the motorcyclists (representing 73 out of 273 or ~27%) sustained non-disabling injuries.

Table 4.15: Motorcyclists Crashes by Injury Type in 2014 Injury Type Frequency Complaint but not visible 48 Disabling 25 Fatal 3 Non-Disabling 73 None 63 Other 20 Unknown 41 Total 273

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 4.31: Motorcycle Involved Crashes at Intersections in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.3.7 Crashes involving DC Properties Figures 4.32 and 4.33 respectively present the summaries of crashes involving DC properties for 2012 through 2014 and the severity of those crashes. From the figures, there was a decrease in the percentage of crashes in 2014 compared with the crashes involving DC properties in 2013. In addition, the distribution in Figure 4.33 shows that crashes involving DC properties resulted in about 9% of the PDO crashes in 2014.

9.6% 9.49% 9.4% 9.30%

9.2%

9.0%

8.8% 8.61% 8.6%

Percentage 8.4%

8.2%

8.0% 2012 2013 2014 Year

Figure 4.32: Three-year Trend of Crashes involving DC Properties

Fatal Collisions Injury Collisions PDO Collisions

100% 90% 80% 70% 15,704 1,619 60% 50% 40% 30% 20% 5,811 230 10% 6 24 0% DC Property Collisions All Collisions

Figure 4.33: Crashes involving DC Properties in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.4 Drivers

4.4.1 Drivers by Age Crashes by driver age group continue to be important information for government agencies and local authorities to determine the appropriate crash prevention and mitigation strategies. From the summaries presented in Table 4.16 and Figure 4.34, it can be observed that crashes involving the age group of 26-30 were the most predominant in 2014 followed by the age group 31-35. The data shows that the age groups of approximately 18% of those involved in crashes in 2014 were not recorded or were unknown. Figure 4.35 presents the types of injuries sustained of the drivers by age group in 2014. The majority of the drivers did not report any type of injury after a crash.

Table 4.16: Number Crashes by Age and Year of Drivers for 2012-2014 Age No. of Crashes Percentage Group 2012 2013 2014 2012 2013 2014 16~20 448 576 798 1.5% 1.8% 2.2% 21~25 1842 2485 3373 6.2% 7.6% 9.3% 26~30 2329 2997 4134 7.8% 9.1% 11.3% 31~35 2158 2870 3899 7.3% 8.7% 10.7% 36~40 1909 2433 3343 6.4% 7.4% 9.2% 41~45 1909 2568 3234 6.4% 7.8% 8.9% 46~50 1751 2216 3001 5.9% 6.7% 8.2% 51~55 1513 2068 2711 5.1% 6.3% 7.4% 56~60 1221 1529 2198 4.1% 4.7% 6.0% 61~65 834 1093 1453 2.8% 3.3% 4.0% 66~70 489 592 895 1.6% 1.8% 2.5% 71~75 248 309 430 0.8% 0.9% 1.2% Over 75 302 364 492 1.0% 1.1% 1.3% Unknown 12,772 10,738 6,487 43.0% 32.7% 17.8% Total 29,725 32,838 36,448 100.0% 100.0% 100.0%

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

2012 2013 2014

12%

10%

4% Percentage of of Percentage Collisions

0% 16~20 21~25 26~30 31~35 36~40 41~45 46~50 51~55 56~60 61~65 66~70 71~75 Over 75 Age Groups

Figure 4.34: Crashes Drivers by Age for 2012-2014

Fatal Disabling Non-Disabling Complaint but not visible No Injure Other Unknown

100% 90% 80% 70% 60% 50% 40% 30% 20%

Percentage of Collisions of Percentage 10% 0%

Age

Figure 4.35: Injury Type Drivers by Age for 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.4.2 Drivers by Gender

The summary of crashes recorded by the gender of drivers involved is presented in Figure 4.36. The figure shows that there was a modest decrease (0.8%) in the percentage of crashes for female drivers, while an increase of 0.8% was also recorded for male drivers in from 2013 to 2014.

Male Female

100% 35.3% 36.2% 35.4% 80%

60%

40% 64.7% 63.8% 64.6%

20%

Percentage of Collisions 0% 2012 2013 2014

Figure 4.36: Crashes by Gender of Drivers for 2012-2014

4.4.3 Drivers by State Issued Driver’s License Since most who work in DC commute from the outer suburbs in neighboring states such as Maryland and Virginia, it is pertinent to determine the distribution of motor vehicle crashes based on drivers’ state-issued licenses. The summary of the statistics for drivers’ licenses are presented in Table 4.17 and Figure 4.37. From the table and figure, the majority of crashes (~38%) involved DC drivers in 2014, followed by 31.2% from Maryland and 12.3% from Virginia. The remainder were from other states or unknown. Table 4.17: Driver Involvement by State of Permit for 2012-2014 No. of Collisions Percentage State 2012 2013 2014 2012 2013 2014 DC 10,423 11,988 13,678 35.1% 36.5% 37.5% MD 10,923 10,340 11,379 36.7% 31.5% 31.2% VA 4,129 4,168 4,496 13.9% 12.7% 12.3% Other 2,598 2,545 6,895 8.7% 7.8% 18.9% Unknown 1,652 3,797 537 5.6% 11.6% 1.5% Total 29,725 32,838 36,448 100.0% 100.0% 100.0%

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

2012 2013 2014

40% 35% 30% 25% 20% 15%

Percentage 10% 5% 0% DC MD VA Other Unknown

Figure 4.37: Drivers Involved in Crashes by State Issued License for 2012-2014

4.4.4 Crashes by Drivers Action The top three drivers’ actions that were responsible for crashes in 2014 were: going straight, turning left and changing lanes which represent respectively (approximately) 47%, 11% and 9% of the total crashes as presented in Table 4.18. This is consistent with the reported actions by drivers in 2012 through 2014. Table 4.18: Driver Involvement by Driver Action and Year for 2012-2014 Drivers Action 2012 2013 2014 Going Straight 6,546 7,458 7,840 Turning Left 1,610 1,730 1,843 Changing Lanes 1,115 1,277 1,484 Turning Right 991 1,038 1,252 Backing 793 924 1,057 Entering/Leaving Parked Position 466 498 578 Slowing/Stopping 308 317 378 Merging 295 384 424 Making U-turn 233 268 273 Parked 290 377 463 Overtaking 158 235 252 Stop/Stand Traffic Lane 279 359 368 Ran Off Road 131 204 203 Avoiding 91 90 127 Total 13,306 15,159 16,542

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.5 Environmental Conditions

4.5.1 Crashes by Roadway Conditions The summary of crashes by roadway conditions are presented in Table 4.19 and Figure 4.38. The highest crashes occurred on roads with dry conditions from 2012 through 2014. The results also show that approximately 47% of the total motor vehicle crashes in 2014 occurred on roadways where the road surface was dry. These crashes resulted in 22 fatalities and 6,533 injuries in 2014. Crashes occurring during wet roadway conditions were observed to be second highest; with 2,842 (or approximately 8%) being reported in 2014. There was 1 fatality and 1,119 injuries as a result of crashes during wet roadway conditions. Table 4.19: Summary of Crashes by Roadway Conditions for 2012-2014 2012 2013 2014 Road Condition Crashes Fatality Injury Crashes Fatality Injury Crashes Fatality Injury Dry 15,127 16 6,007 15,649 24 6,141 17,072 22 6,533 Ice 31 0 5 31 0 26 125 0 53 Ice/Snow 0 0 0 0 0 0 0 0 0 Other 24 0 5 42 0 9 33 0 9 Repairing 75 0 24 55 1 20 33 0 12 Sand.. 11 0 8 18 0 9 22 0 10 Slush 15 0 4 20 0 4 96 0 23 Snow 56 0 15 61 1 29 236 1 62 Standing Water 8 0 2 7 0 1 6 0 1 Unknown 469 0 71 540 0 73 611 0 79 Wet 2,113 2 924 2,625 2 1,054 2,842 1 1,119

# of Collisions Injuries 18,000 17,072 16,000 14,000 12,000 10,000 8,000 6,000 4,000 2,842 1,074 2,000 361 33 157

0 Injuries of Number Number of Collisions of Number Dry Ice/Snow Repairing Wet Other Unknown Road Condition

Figure 4.38: Number of Crashes and Injuries by Road Condition

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.5.2 Crashes by Road Surface The summaries presented in Table 4.20 and Figure 4.39 show that crashes occurred most frequently on asphalt and concrete roadways from 2012 through 2014. The summary also show that approximately 88% (18,987) of the total crashes occurred on asphalt roadways in 2014. This is followed by crashes on concrete surface, which represent approximately 7% (or 1,535) of the total reported motor vehicle crashes in 2014.

Table 4.20: Summary of Crashes by Roadway Surface for 2012-2014 2012 2013 2014 Road Surface Collisions Fatality Injury Collisions Fatality Injury Collisions Fatality Injury

Asphalt 16,118 16 6,356 17,067 26 6,647 18,987 22 7,034 Brick 25 0 6 33 0 7 48 0 13 Concrete 1,425 2 548 1,511 2 561 1,535 1 644 Dirt 8 0 3 9 0 0 11 0 1 Gravel 13 0 5 20 0 6 19 0 3 Other 13 0 4 29 0 10 16 0 8 Unknown 826 1 346 787 1 274 923 3 327 Total 18,428 19 7,268 19,456 29 7,505 21,539 26 8,030

# of Collisions Injuries

20,000 18,987 18,000 16,000 14,000 12,000 10,000 8,000 6,000 4,000 1,535 2,000 923

Number of Collisions of Number 48 11 19 16 0 Asphalt Brick Concrete Dirt Gravel Other Unknown Road Surface

Figure 4.39: Number of Crashes and Injuries by Road Surface in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.5.3 Crashes by Weather Conditions Adverse weather conditions may contribute to motor vehicle crashes. The summary weather-related of crashes by severity type are presented in Table 4.21 and Figure 4.40 show. Table 4.21: Summary of Crashes by Weather Condition for 2012-2014 2012 2013 2014 Weather Collisions Fatality Injury Collisions Fatality Injury Collisions Fatality Injury

Clear 14,963 16 5,927 15,567 23 6,135 17,134 22 6,552 Fog/Mist 200 0 91 263 2 92 176 0 59 Rain 1,697 1 740 2,032 1 829 2,240 1 875 Sleet 14 0 3 27 0 8 22 0 12 Snow 107 0 36 152 0 64 388 1 119 Other 272 0 113 260 0 104 257 1 110 Unknown 1,175 2 358 1,155 3 273 1,322 1 303 Total 18,428 19 7,268 19,456 29 7,505 21,539 26 8,030

# of Collisions Injuries

18,000 17,134 16,000 14,000 12,000 10,000 8,000 6,000 4,000 2,240

Number of Collisions of Number 2,000 1,322 176 22 388 257 0 Clear Fog/Mist Rain Sleet Snow Other Unknown Weather

Figure 4.40: Number of Crashes and Injuries by Weather in 2014

From the summary, it can be observed that the majority of the crashes occurred under clear weather conditions which represent approximately 80% (or 17,134) of the total crashes in 2014. This is followed by crashes occurring during rainy conditions, representing approximately 10% (or 2,240) of the total crashes in 2014.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 4.5.4 Crashes by Light Conditions Street illumination is another crash contributing factor, especially at night. As shown in the summaries in Table 4.22 and Figure 4.41, the majority of the reported crashes occurred on roadways where the streetlights were off. These crashes occurred under such conditions in approximately 51% (11,059) of the total reported crashes in 2014. Approximately 32% (6,951) of the total reported motor vehicle crashes in 2014 occurred on roadways when street illumination was present. Table 4.22: Summary of Crashes by Street Lighting for 2012-2014 Street 2012 2013 2014 Lighting Collisions Fatality Injuries Collisions Fatality Injuries Collisions Fatality Injuries Street 6,053 8 2,408 6,362 12 2,489 6,951 10 2,613 Lights On Street 10,099 9 4,128 10,488 14 4,159 11,059 13 4,308 Lights Off Defective 16 0 5 15 0 8 9 0 2 Unknown 1,397 1 371 1,434 1 331 1,817 2 465 None 863 1 356 1,157 2 518 1,703 1 642 Total 18,428 19 7,268 19,456 29 7,505 21,539 26 8,030

# of Collisions Injuries

12,000 11,059

10,000

8,000 6,951

6,000 4,308 4,000 2,613 1,817 1,703 Injuries of Number 2,000 Number of Collisions of Number 9 2 0 465 642 Street Lights Street Lights Defective Unknown None On Off Street Lighting

Figure 4.41: Number of Crashes and Injuries by Street Lighting

Furthermore, as shown in Table 4.23 and Figure 4.42, the majority of the crashes occurred during daylight conditions. This consisted of approximately 61% (13,159) of the

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University total reported motor vehicle crashes in 2014. Approximately 31% (6,732) of the total reported crashes occurred in the dark which resulted in 11 fatalities and 2,519 injuries in 2014. Table 4.23 Summary of Crashes by Light Condition for 2012-2014 Light 2012 2013 2014 Condition Collisions Fatality Injury Collisions Fatality Injury Collisions Fatality Injury Dark 5,730 7 2,310 6,043 13 2,346 6,732 11 2,519 Dawn/Dusk 424 1 170 437 0 172 482 0 172 Daylight 11,209 10 4,500 11,922 15 4,759 13,159 14 5,103 Unknown 1,065 1 288 1,054 1 228 1,166 1 236 Total 18,428 39 6,792 19,456 29 7,505 21,539 26 8,030

# of Collisions Injuries

14,000 13,159

12,000

10,000

8,000 6,732 6,000 5,103

4,000 2,519 482 2,000 1,166 Number of Injuries of Number

Number of Collisions of Number 172 236 0 Dark Dawn/Dusk Daylight Unknown Light Condition

Figure 4.42: Number of Crashes and Injuries by Light Condition in 2014

4.5.5 Crashes by Traffic Conditions Traffic exposure is another new data field that was appended on the new traffic crash reports (PD-10 forms) to obtain approximate traffic volume conditions at the time of crash. This information was based on police officer’s observation of the traffic conditions. The summary of this is presented in Table 4.24 as well as in Figure 4.43. The results show that approximately 33% of the total reported crashes in 2014 occurred in medium (7,073) with approximately 31% under light (6,605) traffic conditions.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 4.24: Summary of Crashes by Traffic Condition in 2012-2014 Traffic 2012 2013 2014 Condition Collisions Fatalities Injuries Collisions Fatalities Injuries Collisions Fatalities Injuries Heavy 3,289 3 1,410 3,345 1 1,497 3,833 2 1,593 Medium 5,873 5 2,621 6,464 7 2,755 7,073 6 3,014 Light 5,512 7 2,096 5,801 16 2,165 6,605 16 2,298 Other 268 0 64 272 0 42 266 0 49 Unknown 3,486 4 1,077 3,574 5 1,046 3,762 2 1,076 Total 18,428 19 7,268 19,456 29 7,505 21,539 26 8,030

# of Collisions Injuries

8,000 7,073 7,000 6,605

6,000

5,000 3,833 4,000 3,762 3,014 3,000 2,298 2,000 1,593 1,076 Number of Injuries of Number

Number of Collisions of Number 1,000 266 0 49 Heavy Medium Light Other Unknown Traffic Condition

Figure 4.43: Number of Crashes and Injuries by Traffic Conditions in 2014

4.5.6 Crashes by Traffic Control Traffic control devices serve as an important vehicular and pedestrian guidance to ensure the safety of general public. The summary of crashes by the presence and type of traffic control device is presented in Table 4.25 and graphically in Figure 4.44 for 2014. From the results, approximately 36% of crashes occurred at or close to a signalized intersection. The majority of the crashes (49%) occurred at locations where there is no traffic control.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 4.25: Summary of Crashes by Traffic Control in 2012-2014 2012 2013 2014 Traffic Controls Collisions Fatality Injury Collisions Fatality Injury Collisions Fatality Injury

Signal 7,065 6 3,285 7,227 13 3,159 7,838 7 3,521 None 8,719 9 2,814 9,392 13 3,175 10,556 13 3,288 Stop Sign 1,382 1 680 1,505 1 698 1,599 2 727 Other 462 2 216 493 1 244 533 2 233 Unknown 800 1 273 839 1 229 1,013 2 261 Total 18,428 19 7,268 19,456 29 7,505 21,539 26 8,030 * “Other” includes yield, flashing, turn restricted and officer. * “None” includes mid-block crashes.

# of Collisions Injuries

12,000 10,556 10,000 7,838 8,000

6,000 3,521 4,000 3,288 Number of Injuries of Number 1,599 2,000 1,013

Number of Collisions of Number 533 0 727 233 261 Signal None Stop Sign Other Unknown Traffic Control

Figure 4.44: Number of Crashes and Injuries by Traffic Control

4.5.7 Crashes by Roadway Functional Classification It is important to assess the relationship between roadway functional classifications and vehicle crashes. Speed-related injuries by roadway functional classification are also presented in this section. As shown in Table 4.26 and Figure 4.45, the number of injuries for all roadway functional systems from 2013 to 2014 showed for the most part an increasing trend.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 4.26: Summary of Crashes by Roadway Functional Classification from 2012-2014 Road Func. 2012 2013 2014 Classification Collisions Fatalities Injuries Collisions Fatalities Injuries Collisions Fatalities Injuries Collector 2,328 1 907 2,545 4 961 2,766 1 1,009 Interstate 324 0 164 355 0 179 267 1 150 Local 4,819 5 1,519 5,186 7 1,621 6,092 6 1,848 Minor Arterial 5,109 7 2,269 5,447 7 2,289 6,105 9 2,512 Other Freeway 87 0 61 60 2 46 53 1 30 & Expressway Principal 4,945 4 1,932 4,989 7 1,926 5,257 4 1,963 Arterial Unknown 816 2 416 874 2 483 999 4 518 Total 18,428 19 7,268 19,456 29 7,505 21,539 26 8,030

Collisions by Road Functional Classification Unkown Collector 4.6% Principal 12.8% Arterial Interstate 24.4% 1.2%

Other Freeway & Expressway 1.0% Local 28.3% Minor Arterial 28.3%

Injuries by Road Functional Classification

Unkown Collector 6.5% 12.6%

Principal Interstate Arterial 1.9% 24.4%

Other Freeway & Expressway 1.2% Local 23.0% Minor Arterial 31.3%

Figure 4.45: Crashes and Injuries by Functional Classification

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Figures 4.46 and 4.47 respectively present the frequency of speed-related crashes and injuries on all functional classifications from 2012 to 2014.

Collector Interstate Local

Minor Arterial Other Freeway and Expressway Principal Arterial

220

170

120

2012 2013 2014 -30

Figure 4.46: Number of Speed-Related Crashes by Roadway Functional Classification

Collector Interstate Local

Minor Arterial Other Freeway and Expressway Principal Arterial 200 180 160 140 120 100 80 60 40 20 0 2012 2013 2014

Figure 4.47: Number of Speed-Related Injuries by Roadway Functional Classification

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University In addition, Figure 4.48 shows the number of crashes and injuries per lane-miles by roadway functional classification in 2014. The highest number of crashes and injuries per lane-mile was reported on principal arterials.

Num. of Collisions per Lane-Mile Num. Of Injuries per Lane-Mile

1.10 1.07 0.97

0.90

0.70

0.50 0.50 0.40 0.40 0.33 0.28 0.30 0.18 0.18

0.09 0.08 0.10 0.04

Collector Interstate Local Minor Arterial Other Freeway & Principal Arterial -0.10 Expressway

Figure 4.48: Number of Crashes and Injuries per lane-mile by Functional Classification in 2014

4.6 Contributing Factors

4.6.1 Crashes by Primary Crash Contributing Factors

Table 4.27 presents the summary of all reported contributing factors for the crashes in DC from 2012 through 2014. With the exception of “No violation” and “Other”, the prominent contributing factors of crashes reported in 2014 included driver inattention, changing lanes without caution, and following too close.

4.6.2 Speed-Related Crashes Speeding is one of the most common contributing factors of traffic crashes. The summary of crashes related to speeding is presented in Figure 4.49. Only 2% of the reported

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University crashes were speed-related, that resulted in 34.6% of the total fatalities and 6.4% disabling injuries in 2014. This represents a reduction compared to the statistics in 2013.

Table 4.27: Number of Crashes by Contributing Factors in 2012-2014 Contributing Factor 2012 2013 2014 No Violation 17,287 18,876 21,087 Other 3,469 3,863 4,082 Driver Inattention 2,999 3,100 3,743 Following too Close 1,324 1,396 1,465 Changing Lanes W/O Caution 1,277 1,437 1,571 Auto/Ped. Right of Way 951 979 911 Speed 582 592 735 Red Light Violation 378 375 377 Improper Backing 490 516 531 Improper Passing 381 482 513 Alcohol/Drug Influence 351 437 461 Pedestrian Violation 167 234 230 Open Door to Traffic 184 224 231 Other Distraction 242 261 280 Stop Sign 135 162 170 Driver Vision Obstructed 79 83 83 Road Defects 49 56 79 Wrong Way/Side of Street 152 126 125 Defective Brakes, Lights, etc. 70 69 81 Cell Phone/Other Electronic Device 44 48 46 Yield Sign 18 20 36 Fail to Set Parking Brake 21 19 25 Flashing/Directional Light 5 11 4 Right Turn on Red 15 19 16 Total 30,670 33,385 36,882

Table 4.28 and Figure 4.50 are the speed-related crashes by age and gender. From the table and figure, young male drivers were reported as the highest group of drivers involved in speed-related crashes.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Fatal Collisions Injury Collisions PDO Collisions Collisions involved speed violation Other Collisions

100% 100% 90% 90% 80% 80% 54.6% 70% 70% 78.7% 60% 60% 50% 50% 40% 40%

30% 44.1% 30% 20% 20% 34.6% 21.2% 10% 10% 6.4% 0.1% 1.3% 2.6% 0% 0% Total Collisions Collisions involved Collisions Fatalities Disabling speed violation Injuries

Figure 4.49: Speed-Related Crashes in 2014

Table 4.28: Speed-Related Crashes by Age and Gender for 2014 Age Group Female Male Unknown Total 16-20 5 33 0 38 21-25 33 70 0 103 26-30 25 81 0 106 31-35 10 65 1 76 36-40 11 40 0 51 41-45 8 27 0 35 46-50 8 29 0 37 51-55 11 23 0 34 56-60 6 16 0 22 61-65 3 10 0 13 66-70 2 10 0 12 71-75 0 3 0 3 Over 75 1 4 0 5 Unknown 9 67 124 200 Total 132 478 125 735

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Female Male

120

100

70 81 60

40 65

Number of Drivers 40 20 33 27 29 23 33 25 16 10 4 10 11 8 8 11 10 3 0 5 6 3 2 0 1 16-20 21-25 26-30 31-35 36-40 41-45 46-50 51-55 56-60 61-65 66-70 71-75 Over 75

Age Group

Figure 4.50: Speed-Related Crashes by Age and Gender

4.6.3 Alcohol/Drug Related Crashes The use of alcohol and drugs has been noted to be one of the most significant contributory factors in the cause of crashes. As shown in the summaries in Table 4.29 and Table 4.30, alcohol/drug-related crashes were reported during early mornings and late nights on Saturdays and Sundays the most.

Table 4.29: Alcohol/Drug related Crashes by Day of Week in 2014 Day of Week Number of Alcohol-Related Collisions Monday 37 Tuesday 34 Wednesday 41 Thursday 41 Friday 70 Saturday 117 Sunday 107 Total 447

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 4.30: Alcohol/Drug related Crashes by Hour in 2014 Hour Number of Alcohol-Related Collisions 00 41 01 41 02 47 03 46 04 23 05 8 06 7 07 2 08 5 09 1 10 2 11 3 12 2 13 3 14 3 15 14 16 12 17 23 18 14 19 29 20 15 21 32 22 35 23 39 Total 447

Presented in Table 4.31 and Figure 4.51 are the summaries of alcohol/drug-related crashes by gender. From the summaries, young male drivers were reported as highest group involved in alcohol/drug violations. Table 4.31: Alcohol/Drug related Crashes by Gender and Age in 2014 Age Group Female Male Unknown Total 16-20 4 4 0 8 21-25 20 40 2 62 26-30 26 46 0 72 31-35 25 62 0 87 36-40 14 41 0 55 41-45 8 36 0 44 46-50 8 27 0 35 51-55 7 25 0 32 56-60 2 17 0 19 61-65 0 6 0 6 66-70 3 6 0 9 71-75 0 2 0 2 Over 75 0 0 0 0 Total 117 312 2 431

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Female Male 100

60 62 50 46

40 40 41 30

Number of Drivers of Number 36 20 27 25 26 25 10 20 17 4 14 6 8 8 7 6 0 4 2 0 3 20 0 16-20 21-25 26-30 31-35 36-40 41-45 46-50 51-55 56-60 61-65 66-70 71-75 Over 75

Age Group

Figure 4.51: Alcohol/Drug-Related Crashes by Age and Gender

4.6.4 Crashes by Restraint Use (Seatbelts or Airbags) Restraint devices such as seatbelts and airbags usage have a significant influence on the severity of injury during a crash, based on several research studies. Table 4.32 and Figure 4.52 present the summary of crashes related to the airbag restraint. The results show that approximately 1% (500) of crashes in 2014 were reported as a result of air bag failing to deploy. The majority of injuries involved vehicles with installed air bags.

Table 4.32: Frequency of Injures by Injury Code and Air Bag Restraint in 2014 Complaint Non- Air Bag Fatal Disabling but not None Other Unknown Total Disabling visible Airbag Deployed 8 50 228 566 1,086 38 253 2,229 Airbag Installed 1 32 177 1,620 14,996 38 843 17,707 Airbag Failed 0 2 12 63 393 4 26 500 Other 0 0 2 9 39 2 12 64 Side-Impact Airbags 1 0 6 18 49 0 6 80 Use Unknown 1 22 125 830 9,162 42 5,686 15,868 Total 11 106 550 3,106 25,725 124 6,826 36,448

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Fatal Disabling Non-Disabling Complaint but not visible No Injury Unknown

100%

90%

80%

70%

60%

50%

40%

30%

20%

10%

0% AirBag AirBag AirBag Failed Other Side-Impact Use Unknown Deployed Installed Airbags

Figure 4.52: Crash Severity by Air Bag Restraint in 2014

The use of seat belts is another important safety restraint device. The analysis focused on its usage to examine the correlation of severity of motor vehicle crashes and its usage. The results are presented on Table 4.33 and Figure 4.53. The results show that in 2014, approximately 39% (14,283) of drivers or passengers involved in crashes used their seat belts. Approximately 59% (21,614) of drivers or passengers involved in crashes were classified as “unknown seat belt usage”. Overall, only a small fraction (or approximately 1%) of drivers or passengers were reported with seat belt not installed or fastened.

Table 4.33: Number of Injures by Injury Code and Seat Belt Restraint in 2014 Complaint Non- No Seat Belt Fatal Disabling but not Other Unknown Total Disabling Injury visible Belt Failed 0 1 4 10 100 0 3 118 Child Restraint 0 0 1 1 7 0 0 9 Fastened 6 51 252 1,659 11,766 49 500 14,283 Helmet 0 4 7 3 3 2 3 22 Not Fastened 3 3 17 38 195 3 19 278 Not Installed 0 3 11 9 41 1 12 77 Other 0 0 1 3 32 2 9 47 Use Unknown 2 44 257 1,383 13,581 67 6,280 21,614 Total 11 106 550 3,106 25,725 124 6,826 36,448

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Fatal Disabling Non-Disabling Complaint but not visible No Injury Other

100%

90%

80%

70%

60%

50%

40%

30%

20%

10%

0% Belt Failed Child Fastened Helmet Not Not Other Use Restraint Fastened Installed Unknown

Figure 4.53: Crash Severity by Seatbelt Restraint in 2014

4.6.5 Crashes by Sobriety Table 4.33 and Figure 4.54 present the summary of crashes based on driver sobriety. From the results, 16,412 (or approximately 45%) of drivers or passengers involved in a crash in 2014 were sober (or “had not been drinking”), whereas 19,123 (or approximately 53%) of drivers’ impairment status were unknown. Overall, approximately only 1.4% of drivers were reported as driving while intoxicated (DWI) or driving while ability impaired (DWAI).

Table 4.34 Number of Crashes by Sobriety in 2014 Non- Complaint but Type Fatal Disabling No Injury Other Unknown Total Disabling not visible Ability Impaired 1 1 13 12 214 5 22 268 Had been drinking and 1 1 12 12 206 2 13 247 obviously drunk Had not been drinking 2 48 240 1,692 13,935 52 443 16,412 Not Impaired 0 1 6 13 85 0 3 108 Other 0 4 4 15 106 12 149 290 Unknown 7 51 275 1,362 11,179 53 6,196 19,123 Total 11 106 550 3106 25725 124 6826 36,448

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Fatal Disabling Non-Disabling Complaint but not visible No Injury Unknown

443 3 100% 22 13 90%

80% 149 70%

60% 85 13,935 214 206 50%

40%

30% 106

20% 13 10% 12 12 1,692 13 12 6 15 1 1 24048 1 4 0% 1 1 2 0 0 Ability Impaired Had been Had not been Not Impaired Other drinking and drinking obviously drunk

Figure 4.54: Crash Severity by Sobriety in 2014

4.6.6 Crashes by Driver or Pedestrian Distractions

Research has shown that driver or pedestrian distraction is one of the causes of vehicle crashes. The summary of crashes related to driver or pedestrian distraction in 2014 is presented in Table 4.35 and Figure 4.55. From the summary, the most prominent distraction was the use of cell phones, although the highest cause of distraction-related crash was listed as other/unknown.

Table 4.35: Crashes by Driver or Pedestrian Distraction in 2014 Fatal Injury PDO Total by Distraction Collisions Collisions Collisions Distraction Cell Phone (hand held) 0 53 102 155 Cell phone (hands-free) 0 4 14 18 Distracted by passenger(s) 0 49 61 110 Eating 0 8 12 20 Interacting w/Pets 0 3 4 7 Interacting w/unsecured cargo 0 12 11 23 Other 1 647 1,099 1,747 Personal Grooming 0 1 2 3 Reading 0 6 4 10 Using personal communication 0 16 19 35 technologies Writing 0 2 3 5 Total 1 801 1,331 2,133

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Fatal Collisions Injury Collisions PDO Collisions

100% 90% 80% 11 4 61 4 19 70% 102 12 1099 2 3 60% 14 50% 40% 30% 12 6 49 3 16 20% 53 8 647 1 2 10% 4 0%

Figure 4.55: Crash Severity by Driver/Pedestrian Distraction in 2014

CHAPTER 5 – HIGH CRASH LOCATIONS

High-hazardous traffic safety locations can be identified at specific intersections, line segments (e.g., street corridors), and areas (e.g., Wards). Methods used to identify these high- hazardous traffic locations were presented in Chapter 2. This section focuses on the identification of high-hazardous intersections and corridors.

5.1 Identification of High Hazardous Intersections Five ranking methods were used to identify high-hazardous intersections in the following order: crash rate, crash severity, crash frequency, crash severity cost and composite index (which is calculated based on the combination of previous three ranking). To rank high hazardous intersections based on the three-year crash data, each intersection is given a rank based on its calculated values. The first ranking is based on the crash rate followed by crash

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University severity index, crash frequency and finally, by composite index. The highest hazardous intersections are those with the lowest composite index.

5.1.1 Ranking of High Hazardous Intersections (2012-2014) The top 20 high hazardous locations based on each individual ranking for Crash Rate, Crash Cost, Crash Frequency, delta method and Composite Index as well as for the 3-year duration are presented in Tables 5.1 through 5.8 and Figures 5.1 and 5.2. The complete list of the top 100 high frequency crash locations is presented in the Appendix. The crash occurrences for various intersections from 2012 through 2014 were compiled and arranged in order of magnitude to identify the high frequency crash location rankings. From Table 5.1, the intersection of New York Avenue and Bladensburg Road (NE) ranked the highest from 2012 to 2014. The intersection of New York Avenue and North Capitol Street (BN) was determined to rank the second highest in 2013 and 2014. Overall, the intersection of New York Avenue and Bladensburg Road (NE) was found to be the most hazardous intersection in the District from 2011 to 2013 based on the crash frequencies.

Table 5.1: Top 20 Hazardous Intersections by Crash Frequency in 2012-2014 2012 2013 2014 INTERSECTION NAME Quad Freq Rank Freq Rank Freq Rank NEW YORK AVE AND BLADENSBURG RD NE 80 1 83 1 119 1 NEW YORK AVE AND NORTH CAPITOL ST BN 62 3 57 2 68 2 1ST ST AND UNION STATION PLAZA NE 39 12 52 7 67 3 14TH ST AND U ST NW 50 8 53 5 60 4 MINNESOTA AVE AND PENNSYLVANIA AVE SE 48 9 33 29 55 5 MONTANA AVE AND NEW YORK AVE NE 36 16 35 24 53 6 NEW YORK AVE AND SOUTH DAKOTA AVE NE 27 41 53 5 53 6 14TH ST AND K ST NW 37 15 40 15 52 8 7TH ST AND FLORIDA AVE NW 38 13 38 19 51 9 MINNESOTA AVE AND BENNING RD NE 55 6 56 3 50 10 1ST ST AND NEW YORK AVE NE 36 16 48 9 49 11 WISCONSIN AVE AND M ST NW 68 2 49 8 48 12 FLORIDA AVE AND NEW YORK AVE NE 56 5 55 4 47 13 STANTON RD AND SUITLAND PKWY SE 42 10 40 15 45 14 FAIRLAWN AVE AND PENNSYLVANIA AVE SE 59 4 39 17 44 15 FIRTH STERLING AVE AND SUITLAND PKWY SE 42 10 39 17 44 15 PENNSYLVANIA AVE AND ANACOSTIA FRWY SE 9 415 20 96 40 17 14TH ST AND IRVING ST NW 33 21 42 12 40 17 I ST AND S CAPITOL ST BN 31 23 43 11 39 19 9TH ST AND MASSACHUSETTS AVE NW 21 83 41 14 39 19

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Table 5.2: Top 20 Hazardous Intersections by Crash Frequency for 3-Year Periods 2011-2013 2012-2014 INTERSECTION NAME Quad Freq Rank Freq Rank NEW YORK AVE AND BLADENSBURG RD NE 239 1 282 1 NEW YORK AVE AND NORTH CAPITOL ST BN 197 2 187 2 WISCONSIN AVE AND M ST NW 172 3 165 3 14TH ST AND U ST NW 166 6 163 4 MINNESOTA AVE AND BENNING RD NE 170 4 161 5 1ST ST AND UNION STATION PLAZA NE 110 16 158 6 FLORIDA AVE AND NEW YORK AVE NE 167 5 158 6 FAIRLAWN AVE AND PENNSYLVANIA AVE SE 145 7 142 8 MINNESOTA AVE AND PENNSYLVANIA AVE SE 127 9 136 9 1ST ST AND NEW YORK AVE NE 117 13 133 10 NEW YORK AVE AND SOUTH DAKOTA AVE NE 111 15 133 10 14TH ST AND K ST NW 117 13 129 12 7TH ST AND FLORIDA AVE NW 118 12 127 13 STANTON RD AND SUITLAND PKWY SE 129 8 127 13 FIRTH STERLING AVE AND SUITLAND PKWY SE 122 11 125 15 MONTANA AVE AND NEW YORK AVE NE 110 16 124 16 14TH ST AND IRVING ST NW 108 18 115 17 13TH ST AND U ST NW 105 20 114 18 H ST AND NORTH CAPITOL ST BN 124 10 114 18 I ST AND S CAPITOL ST BN 106 19 113 20

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 5.1: Top 20 Hazardous Intersections by Crash Rate in 2012-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 5.2: Top 20 Hazardous Intersections by Crash Rate in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Based on the crash rate calculations, which took into consideration the traffic volumes for each intersection, the summary in Table 5.3 shows that the intersection of 1st Street and Union Station Plaza NE was ranked the highest in 2014. The intersection of 14th Street and U Street NW was ranked second highest based on the crash rate ranking presented in Table 5.3. Meanwhile, Martin Luther King Ave and Good Hope Rd (SE) went from rank 17 to rank 3 in a one year period from 2013 to 2014. These crash rates were calculated based on the methodology discussed in Chapter 2.

Table 5.3: Top 20 Hazardous Intersections by Crash Rate in 2012-2014 2012 2013 2014 INTERSECTION NAME Quad Rate Rank Rate Rank Rate Rank 1ST ST AND UNION STATION PLAZA NE 3.98691 5 5.31589 2 6.84932 1 14TH ST AND U ST NW 4.70743 3 4.98988 4 5.64892 2 MARTIN LUTHER KING AVE AND GOOD SE 2.00468 72 3.34113 17 4.90032 3 HOPE RD 1ST ST AND M ST NE 3.26756 12 5.02702 3 4.77567 4 7TH ST AND G ST NW 2.81901 25 1.93807 99 4.75708 5 44TH ST AND NANNIE HELEN NE 2.16813 61 4.73046 5 4.73046 6 BURROUGHS AVE 17TH ST AND I ST NW 1.91005 85 3.46196 14 4.65574 7 ROCK CREEK CHURCH RD AND SPRING NW 2.31526 52 0.77175 478 4.63052 8 RD 18TH ST AND KALORAMA RD NW 2.51516 42 1.79654 111 4.3117 9 24TH ST AND M ST NW 3.48692 7 2.61519 39 4.23412 10 7TH ST AND FLORIDA AVE NW 3.04414 17 3.04414 25 4.08556 11 SOUTHERN AVE AND WHEELER RD SE 2.55908 36 4.06443 8 3.91389 12 SOUTHERN AVE AND NAYLOR RD SE 2.46575 46 3.28767 18 3.83562 13 14TH ST AND IRVING ST NW 3.11762 15 3.96788 9 3.77893 14 SOUTHERN AVE AND S CAPITOL ST BN 3.28111 11 2.13272 74 3.77328 15 2ND ST AND E ST NW 1.24939 231 0.89242 389 3.74816 16 14TH ST AND COLUMBIA RD NW 2.818 26 3.5486 11 3.65297 17 FIRTH STERLING AVE AND HOWARD RD SE 2.84452 23 4.34164 6 3.59308 18 WISCONSIN AVE AND M ST NW 4.99467 2 3.5991 10 3.52565 19 NEW YORK AVE AND BLADENSBURG RD NE 2.36693 50 2.45569 44 3.52081 20

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 5.4: Top 20 Hazardous Intersections by Crash Rate for 3-Year Periods 2011-2013 2012-2014 INTERSECTION NAME Quad RATE RANK RATE RANK 1ST ST AND UNION STATION PLAZA NE 3.74838 5 5.38404 1 14TH ST AND U ST NW 5.20956 1 5.11541 2 14TH ST AND V ST NW 4.29761 2 4.47668 3 1ST ST AND M ST NE 3.93783 4 4.35675 4 WISCONSIN AVE AND M ST NW 4.2112 3 4.03981 5 44TH ST AND NANNIE HELEN BURROUGHS NE 3.02224 14 3.87635 6 AVE 14TH ST AND IRVING ST NW 3.40104 8 3.62148 7 FIRTH STERLING AVE AND HOWARD RD SE 3.24376 11 3.59308 8 SOUTHERN AVE AND WHEELER RD SE 2.96051 17 3.51247 9 24TH ST AND M ST NW 2.98879 15 3.44541 10 MARTIN LUTHER KING AVE AND GOOD HOPE SE 2.37591 42 3.41538 11 RD MINNESOTA AVE AND BENNING RD NE 3.58548 7 3.39566 12 7TH ST AND FLORIDA AVE NW 3.15095 12 3.39128 13 17TH ST AND I ST NW 2.94466 19 3.34259 14 14TH ST AND COLUMBIA RD NW 3.06154 13 3.33986 15 SOUTHERN AVE AND NAYLOR RD SE 3.28767 10 3.19635 16 7TH ST AND G ST NW 2.23172 48 3.17139 17 SOUTHERN AVE AND FITCH ST SE 2.32462 46 3.15484 18 7TH ST AND H ST NW 2.98402 16 3.11519 19 19TH ST AND INDEPENDENCE AVE SE 3.71005 6 3.0917 20

Table 5.5 shows that the intersection of New York Avenue and Bladensburg Avenue (NE) ranked the highest based on the crash cost index for each individual year. When the three-year crash costs were taken into consideration (Table 5.6), the same intersection ranked the highest.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 5.5: Top 20 Hazardous Intersections by Crash Severity Cost for 2012-2014 2012 2013 2014 INTERSECTION NAME Quad Cost Rank Cost Rank Cost Rank 135 NEW YORK AVE AND BLADENSBURG RD NE 797 1 840 2 1 2 PENNSYLVANIA AVE AND ANACOSTIA FRWY SE 135 301 233 108 848 2 NEW YORK AVE AND NORTH CAPITOL ST BN 662 2 503 9 750 3 MINNESOTA AVE AND BENNING RD NE 617 9 684 3 746 4 STANTON RD AND SUITLAND PKWY SE 633 6 488 11 746 4 MINNESOTA AVE AND PENNSYLVANIA AVE SE 600 11 368 33 729 6 FIRTH STERLING AVE AND SUITLAND PKWY SE 647 5 964 1 722 7 NEW YORK AVE AND SOUTH DAKOTA AVE NE 330 43 600 4 647 8 MONTANA AVE AND NEW YORK AVE NE 653 4 368 33 585 9 FLORIDA AVE AND NEW YORK AVE NE 662 2 557 6 563 10 7TH ST AND FLORIDA AVE NW 627 7 413 21 557 11 1ST ST AND UNION STATION PLAZA NE 407 21 420 19 548 12 14TH ST AND U ST NW 458 16 458 13 548 12 14TH ST AND K ST NW 330 43 353 41 518 14 RHODE ISLAND AVE AND NORTH CAPITOL ST BN 317 49 488 11 512 15 I ST AND S CAPITOL ST BN 323 47 443 18 504 16 KENILWORTH AVE AND EAST CAPITOL ST BN 392 26 566 5 497 17 FAIRLAWN AVE AND PENNSYLVANIA AVE SE 600 11 450 14 489 18 1ST ST AND NEW YORK AVE NE 407 21 450 14 465 19 4TH ST AND NEW YORK AVE NW 270 74 444 16 453 20

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 5.6: Top 20 Hazardous Intersections by Crash Severity Cost for 3-Year Periods 2011-2013 2012-2014 INTERSECTION NAME Quad Cost Rank Cost Rank NEW YORK AVE AND BLADENSBURG RD NE 2553 1 2988 1 FIRTH STERLING AVE AND SUITLAND PKWY SE 2362 2 2332 2 MINNESOTA AVE AND BENNING RD NE 2097 4 2046 3 NEW YORK AVE AND NORTH CAPITOL ST BN 2099 3 1914 4 STANTON RD AND SUITLAND PKWY SE 1769 5 1866 5 FLORIDA AVE AND NEW YORK AVE NE 1751 7 1781 6 MINNESOTA AVE AND PENNSYLVANIA AVE SE 1523 11 1697 7 MONTANA AVE AND NEW YORK AVE NE 1448 12 1605 8 7TH ST AND FLORIDA AVE NW 1759 6 1596 9 NEW YORK AVE AND SOUTH DAKOTA AVE NE 1253 15 1577 10 WISCONSIN AVE AND M ST NW 1640 9 1556 11 FAIRLAWN AVE AND PENNSYLVANIA AVE SE 1560 10 1539 12 14TH ST AND U ST NW 1644 8 1463 13 KENILWORTH AVE AND EAST CAPITOL ST BN 1280 14 1454 14 1ST ST AND UNION STATION PLAZA NE 992 33 1374 15 H ST AND NORTH CAPITOL ST BN 1374 13 1367 16 1ST ST AND NEW YORK AVE NE 1157 20 1322 17 I ST AND S CAPITOL ST BN 1170 18 1269 18 RHODE ISLAND AVE AND NORTH CAPITOL ST BN 1059 26 1254 19 PENNSYLVANIA AVE AND ANACOSTIA FRWY SE 668 100 1216 20

In order to examine the effect of the various rankings, the composite index methodology was employed to identify the characteristics of intersections or corridors. Based on the results presented in Table 5.7, it was determined that the intersection of New York Avenue and Bladensburg Avenue (NE) ranked the highest using the composite index method. When the three-year composite index ranking was taken into consideration as shown in Table 5.8, Minnesota Ave and Benning Road (NE) and New York Avenue and Bladensburg Avenue (NE) were the top two most hazardous intersections. The GIS maps for the top 20 hazardous intersections by crash cost from 2012 through 2014 and the top 20 hazardous intersection by crash cost in 2014 are respectively presented in Figures 5.3 and 5.4 respectively. Figures 5.5 and 5.6 present the top 20 hazardous intersections by crash composite index from 2012 to 2014 and the top 20 hazardous intersection by crash composite index in 2014 respectively.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 5.7: Top 20 Hazardous Intersections by Composite Index for 2012-2014 2012 2013 2014 INTERSECTION NAME Quad COMP RANK COMP RANK COMP RANK NEW YORK AVE AND BLADENSBURG RD NE 13.25 6 12.25 5 5.75 1 1ST ST AND UNION STATION PLAZA NE 14.75 7 11.75 4 7 2 14TH ST AND U ST NW 10.75 4 8.75 2 7.5 3 7TH ST AND FLORIDA AVE NW 11 5 21.5 13 10.5 4 MINNESOTA AVE AND BENNING RD NE 8 2 5.25 1 11.25 5 STANTON RD AND SUITLAND PKWY SE 15.75 8 21 12 17.75 6 WISCONSIN AVE AND M ST NW 5 1 9.5 3 18.75 7 14TH ST AND K ST NW 44.25 25 42.5 26 20 8 FIRTH STERLING AVE AND SUITLAND PKWY SE 17.25 9 20.25 9 21.25 9 24TH ST AND M ST NW 62.25 35 134.25 92 23.25 10 MINNESOTA AVE AND PENNSYLVANIA AVE SE 30 13 80.75 46 25.25 11 17TH ST AND I ST NW 224 159 38 23 25.5 12 14TH ST AND IRVING ST NW 34.5 16 19.75 8 26.75 13 14TH ST AND COLUMBIA RD NW 52.75 32 29.75 17 27.25 14 MONTANA AVE AND NEW YORK AVE NE 52 31 74.75 41 31.25 15 MINNESOTA AVE AND NANNIE HELEN NE 131 91 55 33 31.25 15 BURROUGHS AVE 13TH ST AND U ST NW 43.75 24 17 6 33.25 17 9TH ST AND MASSACHUSETTS AVE NW 124 84 28.75 15 34 18 7TH ST AND G ST NW 169.5 125 380.5 293 35.25 19 SOUTHERN AVE AND S CAPITOL ST BN 41.5 22 255.75 188 35.75 20

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 5.8: Top 20 Hazardous Intersections by Composite Index for 3-Year Periods 2011-2013 2012-2014 INTERSECTION NAME Quad COMP RANK COMP RANK MINNESOTA AVE AND BENNING RD NE 4.75 1 5.75 1 NEW YORK AVE AND BLADENSBURG RD NE 11.75 6 7.5 2 WISCONSIN AVE AND M ST NW 6 3 7.5 2 14TH ST AND U ST NW 5.75 2 8 4 1ST ST AND UNION STATION PLAZA NE 21.75 9 9.25 5 7TH ST AND FLORIDA AVE NW 9 4 11 6 STANTON RD AND SUITLAND PKWY SE 11.25 5 15.5 7 FIRTH STERLING AVE AND SUITLAND PKWY SE 15.5 7 16.25 8 14TH ST AND IRVING ST NW 23.5 10 21.5 9 H ST AND NORTH CAPITOL ST BN 16.25 8 24.25 10 13TH ST AND U ST NW 27 12 25.5 11 14TH ST AND K ST NW 31.75 16 26.25 12 7TH ST AND H ST NW 28.5 14 28.5 13 14TH ST AND COLUMBIA RD NW 34.25 18 29.25 14 MINNESOTA AVE AND PENNSYLVANIA AVE SE 33.25 17 29.75 15 FLORIDA AVE AND NEW YORK AVE NE 26.5 11 34.5 16 SOUTHERN AVE AND WHEELER RD SE 44.25 23 35 17 4TH ST AND NEW YORK AVE NW 37 20 35.75 18 I ST AND S CAPITOL ST BN 37.75 21 36.5 19 9TH ST AND MASSACHUSETTS AVE NW 56 34 37.75 20

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 5.3: Top 20 Hazardous Intersections by Crash Cost in 2012-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 5.4: Top 20 Hazardous Intersections by Crash Cost in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 5.5: Top 20 Hazardous Intersections by Crash Composite Index 2012-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 5.6: Top 20 Hazardous Intersections by Crash Composite Index for 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 5.2 High Frequency Crash Intersection by Type In order to determine the crash patterns at each of the identified top 20 high frequency crash locations, the crash types for those locations were further analyzed and are presented in Table 5.9. From the table, in 2014, rear end crashes was the leading crash type for most of the high frequency crash locations, whereas side swiped and right-turn crashes were the second and third most frequently reported crashes for the top 20 high frequency crash locations. Table 5.9: Top 20 Hazardous Intersections by Crash Type in 2014

Type of Collision Collision - Other Straight Backing Head On Override Rear End Left Turn Unknown Right Turn Right Total Crash Total Right Angle Side Swiped Fixed Object Non Parked Vehicle Ran Off Roadway Off Ran NEW YORK AVE AND BLADENSBURG 15 12 6 23 3 8 4 4 97 18 20 61 4 0 7 282 RD,NE NEW YORK AVE AND NORTH CAPITOL 2 1 2 20 0 2 1 0 40 12 16 76 5 1 9 187 ST,BN WISCONSIN AVE AND M ST,NW 11 2 1 13 0 7 1 0 25 7 12 79 4 0 3 165 14TH ST AND U ST,NW 12 4 1 14 0 4 7 1 31 10 17 58 2 0 2 163 MINNESOTA AVE AND BENNING RD,NE 3 5 4 14 2 5 0 0 51 3 9 53 7 0 4 160 1ST ST AND UNION STATION PLAZA,NE 4 2 0 3 0 14 11 0 18 5 2 91 3 1 4 158

FLORIDA AVE AND NEW YORK AVE,NE 1 0 2 10 1 5 2 1 59 7 4 64 1 0 1 158

FAIRLAWN AVE AND PENNSYLVANIA 2 3 1 13 0 4 0 2 59 3 4 47 0 0 4 142 AVE,SE MINNESOTA AVE AND PENNSYLVANIA 3 2 3 9 0 7 3 2 42 14 6 37 6 0 2 136 AVE,SE NEW YORK AVE AND SOUTH DAKOTA 0 19 4 0 0 2 0 6 58 0 2 38 1 0 3 133 AVE,NE 1ST ST AND NEW YORK AVE,NE 5 4 2 13 0 3 1 0 29 6 12 49 2 0 7 133 14TH ST AND K ST,NW 6 2 1 10 0 4 1 1 23 7 16 45 6 0 7 129 STANTON RD AND SUITLAND PKWY,SE 4 7 9 2 1 7 1 7 68 2 4 14 1 0 0 127 7TH ST AND FLORIDA AVE,NW 4 3 4 9 0 4 2 0 26 7 12 44 5 0 7 127 FIRTH STERLING AVE AND SUITLAND 1 1 13 33 0 4 0 1 43 8 5 11 0 0 5 125 PKWY,SE MONTANA AVE AND NEW YORK AVE,NE 3 4 4 14 0 2 0 1 39 20 3 32 0 0 2 124 14TH ST AND IRVING ST,NW 12 0 1 6 0 4 2 1 18 4 4 52 3 0 8 115 4TH ST AND NEW YORK AVE,NW 1 5 2 5 0 4 3 0 46 1 8 35 1 0 3 114 I ST AND S CAPITOL ST,BN 2 3 1 11 1 6 2 3 44 11 2 26 0 0 2 114 H ST AND NORTH CAPITOL ST,BN 5 3 1 14 0 4 0 0 29 9 12 34 1 0 2 114

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 5.3 Identification of High Frequency Crash Corridors

5.3.1 Summary of Crashes on Corridors Table 5.10 presents the high frequency crash corridors in the District. The summary table shows that Pennsylvania Avenue, New York Avenue, and Georgia Avenue are the corridors with the highest crash frequencies in the District from 2012 through 2014. Table 5.10: High Frequency Crash Corridors for 2012-2014 2012 2013 2014 Corridor Total Collisions Fatalities Injuries Collisions Fatalities Injuries Collisions Fatalities Injuries PENNSYLVANIA AVE 784 0 310 797 0 287 839 3 300 2420 NEW YORK AVE 692 2 341 724 1 270 762 0 341 2178 GEORGIA AVE 622 0 280 619 1 259 679 1 268 1920 NORTH CAPITOL ST 530 0 233 492 0 248 585 0 267 1607 CONNECTICUT AVE 516 1 129 456 1 154 526 1 138 1498 SIXTEENTH ST 533 0 215 534 0 191 529 0 170 1596 WISCONSIN AVE 424 0 111 448 1 126 454 0 117 1326 FLORIDA AVE 454 0 187 476 1 188 540 0 218 1470 RHODE ISLAND AVE 392 1 205 469 0 203 516 0 238 1377 BENNING RD 363 1 212 453 2 245 466 0 225 1282 SOUTHERN AVE 289 1 174 353 1 224 369 0 204 1011 BLADENSBURG RD 246 1 98 280 0 111 323 0 145 849 CONSTITUTION AVE 219 1 67 204 1 61 181 0 63 604 NEW JERSEY AVE 150 1 87 146 0 56 191 0 83 487

Presented in Figure 5.7 and Table 5.11 are respectively the summary of the types of crashes reported for the top 20 corridors and the average crashes per mile along those corridors.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

2012Collisions 2013Collisions 2014Collisions 2012Injury 2013Injury 2014Injury 800

700

600

500

400

300

200

100

Figure 5.7: High Frequency Crash Corridors for 2012-2014

Table 5.11: Summary of High Frequency Crash Corridors for 2012-2014 Average Average No. of No. of Corridor Length(miles) Crashes Crashes per Intersections Crashes per Mile Intersection PENNSYLVANIA AVE 5.48 89 2420 441.61 27.19 NEW YORK AVE 5.08 46 2178 428.74 47.35 GEORGIA AVE 4.76 65 1920 403.36 29.54 NORTH CAPITOL ST 3.85 73 1607 417.40 22.01 CONNECTICUT AVE 5.01 73 1498 299.00 20.52 SIXTEENTH ST 6.39 89 1067 166.98 11.99 WISCONSIN AVE 4.87 65 1326 272.28 20.40 FLORIDA AVE 5.46 80 1470 269.23 18.38 RHODE ISLAND AVE 4.56 49 1377 301.97 28.10 BENNING RD 3.39 45 1282 378.17 28.49 SOUTHERN AVE 5.4 122 1011 187.22 8.29 BLADENSBURG RD 2.65 45 849 320.38 18.87 CONSTITUTION AVE 3.9 52 604 154.87 11.62 NEW JERSEY AVE 2.79 38 487 174.55 12.82

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 5.3.2 High Frequency Crash Corridors by Average Number of Crashes per Mile Table 5.12 presents the summary of the average number of crashes per mile on each corridor from 2012 to 2014. From the table, Pennsylvania Avenue, New York Avenue, and Georgia Avenue are the three highest ranked corridors based on the average number of crashes per mile.

Table 5.12: High Frequency Crash Corridors by Number of Crash Occurrences per Mile in 2012-2014

Corridor 2012 2013 2014 PENNSYLVANIA AVE 143.07 145.44 153.10 NEW YORK AVE 136.22 142.52 150.00 GEORGIA AVE 130.67 130.04 142.65 NORTH CAPITOL ST 137.66 127.79 151.95 CONNECTICUT AVE 102.99 91.02 104.99 SIXTEENTH ST 83.41 83.57 82.79 WISCONSIN AVE 87.06 91.99 93.22 FLORIDA AVE 83.15 87.18 98.90 RHODE ISLAND AVE 85.96 102.85 113.16 BENNING RD 107.08 133.63 137.46 SOUTHERN AVE 53.52 65.37 68.33 BLADENSBURG RD 92.83 105.66 121.89 CONSTITUTION AVE 56.15 52.31 46.41 NEW JERSEY AVE 53.76 52.33 68.46

Figures 5.8 and 5.9 show the GIS maps for the top 20 hazardous intersections by crash frequency index for 2012 to 2014, and the top 20 hazardous intersections by crash frequency index for 2014 only respectively.

5.3.3 Number of Crashes per Intersecting on Corridors As shown in Table 5.13, it can be noted that Pennsylvania Avenue, New York Avenue, and Georgia Avenue are the three highest ranked corridors based on the number of crashes per intersecting on corridors.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 5.13: Average Number of Crashes per Intersection on Corridors in 2012 - 2014 Corridors 2012 2013 2014 PENNSYLVANIA AVE 8.81 8.96 9.43 NEW YORK AVE 15.04 15.74 16.57 GEORGIA AVE 9.57 9.52 10.45 NORTH CAPITOL ST 7.26 6.74 8.01 CONNECTICUT AVE 7.07 6.25 7.21 SIXTEENTH ST 5.99 6.00 0.00 WISCONSIN AVE 6.52 6.89 6.98 FLORIDA AVE 5.68 5.95 6.75 RHODE ISLAND AVE 8.00 9.57 10.53 BENNING RD 8.07 10.07 10.36 SOUTHERN AVE 2.37 2.89 3.02 BLADENSBURG RD 5.47 6.22 7.18 CONSTITUTION AVE 4.21 3.92 3.48 NEW JERSEY AVE 3.95 3.84 5.03

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 5.8: Top 20 Hazardous Intersections by Crash Frequency Index in 2012-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 5.9: Top 20 Hazardous Intersections by Crash Frequency in 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University CHAPTER 6: EXPOSURE

6.1 Fatality Rate per 100 Million Vehicle Miles Traveled (VMT) Using the exposure data, the fatality rates per 100 million vehicle miles traveled (VMT) were computed based on data obtained from the National Highway Traffic Safety Administration’s (NHTSA) database. This was used to examine and compare the motor vehicle crash fatality rate in Washington, DC with the national rate from 2006 to 2014. The results are presented in Table 6.1 and Figure 6.1. From the table and figure, it can be determined that the fatalities per 100 million VMT of the District from 2006 to 2014 were substantially lower than the national rate. Overall, the number of fatalities per 100 million VMT for Washington, DC is considerably lower than the national rate.

Table 6.1: Fatality Rate from 2006 through 2014 Total Fatalities Fatalities Vehicle Per 100 Per Miles Million Total 100,000 Year/State Fatalities Vehicle Population Traveled Miles Population (Millions) Traveled District of Columbia 41 3,623 1.13 583,978 7.02 2006 US 42,708 3,014,371 1.42 298,593,212 14.30 District of Columbia 54 3,609 1.50 586,409 9.21 2007 US 41,259 3,032,399 1.36 301,579,895 13.68 District of Columbia 39 3,611 1.08 590,074 6.61 2008 US 37,423 2,973,509 1.26 304,374,846 12.30 District of Columbia 33 3,607 0.91 599,657 5.50 2009 US 33,883 2,979,321 1.14 307,006,550 11.04 District of Columbia 25 3,614 0.69 601,723 4.15 2010 US 32,999 2,999,821 1.10 308,745,538 10.69 District of Columbia 32 3,614 0.89 617,996 5.18 2011 US 32,367 2,964,121 1.09 314,168,000 10.30 District of Columbia 19 3,629 0.52 632,323 3.00 2012 US 33,561 2,957,394 1.13 313,914,040 10.69 District of Columbia 29 3,651 0.79 646,449 4.49 2013 US 32,719 2,972,287 1.10 315,091,138 10.38 District of Columbia 26 3,699 0.70 658,893 3.95 2014 US 32,675 3,015,620 1.08 320,282,544 10.20 Data was obtained from the NHTSA except for the fatalities data for the District of Columbia.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

1.60

1.40

1.20

1.00

0.80 DC US 0.60

0.40 Fatalities per 100 MillionVMT 0.20

0.00 2006 2007 2008 2009 2010 2011 2012 2013 2014

Figure 6.1: Fatality Rate per 100 Million VMT from 2005 through 2014

6.2 Injury Rate per 100 Million Vehicle Miles Traveled (VMT) The injury rate per 100 million vehicle miles traveled (VMT) information from 2006 to 2014 was also obtained from NHTSA to examine and compare the injury rate of motor vehicle crashes in Washington, DC to the national rate. The summarized results are presented in Table 6.2 and Figure 6.2. The results show that the injuries per 100 million VMT in the District from 2006 to 2014 is considerably higher than the national values.

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 6.2: Injury Rate from 2006 to 2014 Total Injuries Injuries Per Vehicle Per 100 Million Miles Total 100,000 Year/State Injuries Vehicle Population Traveled Miles Population (Millions) Traveled District of Columbia 7,061 3,623 194.89 583,978 1209.12 2006 US 2,575,000 3,014,371 85.42 298,593,212 862.38 District of Columbia 6,571 3,609 182.07 586,409 1120.55 2007 US 2,491,000 3,032,399 82.15 301,579,895 825.98 District of Columbia 6,792 3,611 188.09 590,074 1151.04 2008 US 2,346,000 2,973,509 78.90 304,374,846 770.76 District of Columbia 6,529 3,607 181.01 599,657 1088.79 2009 US 2,217,000 2,979,321 74.41 307,006,550 722.13 District of Columbia 7,068 3,614 195.57 601,723 1174.63 2010 US 2,239,074 2,979,321 75.15 308,745,538 725.22 District of Columbia 7,335 3,614 202.96 617,996 1186.90 2011 US 2,217,000 2,964,121 74.79 314,168,000 705.67 District of Columbia 7,268 3,629 200 632,323 1,149 2012 US 2,362,000 2,957,394 80 313,914,040 752 District of Columbia 7,505 3,651 206 646,449 1,161 2013 US 2,313,000 2,972,287 78 315,091,138 734 District of Columbia 8,030 3,699 217 658,893 1,219 2014 US 2,338,000 3,015,620 78 320,282,544 730 Data was obtained from the NHTSA except for the fatalities data for the District of Columbia. *The 2011 VMT data of the country was not available as at the time of preparing this report. The 2010 value was used.

240 220 200 180 160 140 DC 120 US 100 80 60 40

Injuries per 100 MillionVMT 20 0 2006 2007 2008 2009 2010 2011 2012 2013 2014

Figure 6.2: Injury Rate per 100 Million VMT from 2005 through 2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University CHAPTER 7: APPENDICES

7.1 Top 100 Hazardous Intersections

7.1.1 Rank by Crash Frequency

Table 7.1: Intersection Rank by Crash Frequency for 2012- 2014 (Rank 1~31) 2012 2013 2014 INTERSECTION NAME Quad Freq Rank Freq Rank Freq Rank NEW YORK AVE AND BLADENSBURG RD NE 80 1 83 1 119 1 NEW YORK AVE AND NORTH CAPITOL ST BN 62 3 57 2 68 2 1ST ST AND UNION STATION PLAZA NE 39 12 52 7 67 3 14TH ST AND U ST NW 50 8 53 5 60 4 MINNESOTA AVE AND PENNSYLVANIA AVE SE 48 9 33 29 55 5 MONTANA AVE AND NEW YORK AVE NE 36 16 35 24 53 6 NEW YORK AVE AND SOUTH DAKOTA AVE NE 27 41 53 5 53 6 14TH ST AND K ST NW 37 15 40 15 52 8 7TH ST AND FLORIDA AVE NW 38 13 38 19 51 9 MINNESOTA AVE AND BENNING RD NE 55 6 56 3 50 10 1ST ST AND NEW YORK AVE NE 36 16 48 9 49 11 WISCONSIN AVE AND M ST NW 68 2 49 8 48 12 FLORIDA AVE AND NEW YORK AVE NE 56 5 55 4 47 13 STANTON RD AND SUITLAND PKWY SE 42 10 40 15 45 14 FAIRLAWN AVE AND PENNSYLVANIA AVE SE 59 4 39 17 44 15 FIRTH STERLING AVE AND SUITLAND PKWY SE 42 10 39 17 44 15 PENNSYLVANIA AVE AND ANACOSTIA FRWY SE 9 415 20 96 40 17 14TH ST AND IRVING ST NW 33 21 42 12 40 17 I ST AND S CAPITOL ST BN 31 23 43 11 39 19 9TH ST AND MASSACHUSETTS AVE NW 21 83 41 14 39 19 17TH ST AND I ST NW 16 153 29 36 39 19 BENNING RD AND BLADENSBURG RD NE 26 46 24 62 38 22 13TH ST AND U ST NW 35 18 42 12 37 23 RHODE ISLAND AVE AND NORTH CAPITOL ST BN 23 64 28 42 36 24 16TH ST AND K ST NW 24 59 24 62 36 24 14TH ST AND COLUMBIA RD NW 27 41 34 26 35 26 24TH ST AND M ST NW 28 34 21 88 34 27 31ST ST AND M ST NW 28 34 38 19 34 27 15TH ST AND K ST NW 29 30 24 62 34 27 BENNING RD AND EAST CAPITOL ST BN 28 34 44 10 34 27 MINNESOTA AVE AND NANNIE HELEN NE 17 127 25 56 33 31 BURROUGHS AVE RHODE ISLAND AVE AND REED ST NE 28 34 28 42 33 31 4TH ST AND NEW YORK AVE NW 26 46 37 21 33 31 KENILWORTH AVE AND EAST CAPITOL ST BN 30 25 33 29 33 31 KENILWORTH AVE AND BENNING RD NE 29 30 36 23 33 31

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.2: Intersection Rank by Crash Frequency for 2012-2014 (Rank: 34~71) 2012 2013 2014 INTERSECTION NAME Quad Freq Rank Freq Rank Freq Rank 14TH ST AND RHODE ISLAND AVE NW 14 197 27 49 33 31 CONNECTICUT AVE AND K ST NW 22 74 28 42 32 37 7TH ST AND H ST NW 30 25 34 26 31 38 12TH ST AND U ST NW 18 110 17 136 31 38 MICHIGAN AVE AND NORTH CAPITOL ST BN 17 127 25 56 30 40 9TH ST AND NEW YORK AVE NW 24 59 28 42 30 40 14TH ST AND CONSTITUTION AVE NW 32 22 25 56 30 40 ALABAMA AVE AND PENNSYLVANIA AVE SE 18 110 24 62 30 40 NORTH CAPITOL ST AND RIGGS RD BN 38 13 34 26 30 40 12TH ST AND K ST NW 11 311 19 111 30 40 EASTERN AVE AND KENILWORTH AVE NE 25 52 24 62 29 46 14TH ST AND PENNSYLVANIA AVE NW 34 19 15 185 29 46 15TH ST AND H ST NW 20 89 11 331 28 48 KENILWORTH AVE AND LEE ST NE 15 169 23 70 28 48 17TH ST AND PENNSYLVANIA AVE NW 20 89 22 81 27 50 16TH ST AND NEW HAMPSHIRE AVE NW 28 34 20 96 27 50 4TH ST AND NEW YORK AVE NE 29 30 27 49 27 50 15TH ST AND MASSACHUSETTS AVE NW 25 52 15 185 27 50 7TH ST AND G ST NW 16 153 11 331 27 50 14TH ST AND PARK RD NW 21 83 37 21 27 50 MARTIN LUTHER KING AVE AND HOWARD RD SE 16 153 27 49 27 50 K ST AND NORTH CAPITOL ST BN 25 52 23 70 26 57 24TH ST AND PENNSYLVANIA AVE NW 20 89 30 32 26 57 29TH ST AND M ST NW 10 361 16 159 26 57 14TH ST AND F ST NW 28 34 16 159 26 57 SOUTHERN AVE AND WHEELER RD SE 17 127 27 49 26 57 H ST AND NORTH CAPITOL ST BN 53 7 35 24 26 57 14TH ST AND S ST NW 7 590 13 233 25 63 18TH ST AND K ST NW 18 110 17 136 25 63 18TH ST AND M ST NW 11 311 12 277 25 63 SOUTH DAKOTA AVE AND BLADENSBURG RD NE 24 59 23 70 25 63 33RD PL AND SOUTH DAKOTA AVE NE 12 258 15 185 25 63 18TH ST AND ADAMS MILL RD NW 29 30 16 159 25 63 4TH ST AND MASSACHUSETTS AVE NW 22 74 19 111 25 63 16TH ST AND NEW YORK AVE NE 16 153 29 36 25 63 18TH ST AND KALORAMA RD NW 14 197 10 377 24 71 14TH ST AND INDEPENDENCE AVE SW 19 99 19 111 24 71 2ND ST AND H ST NW 30 25 20 96 24 71 44TH ST AND NANNIE HELEN BURROUGHS AVE NE 11 311 24 62 24 71 12TH ST AND CONSTITUTION AVE NW 21 83 23 70 24 71 BRANCH AVE AND PENNSYLVANIA AVE SE 22 74 19 111 24 71 17TH ST AND BENNING RD NE 15 169 22 81 24 71 ALABAMA AVE AND BRANCH AVE SE 13 224 21 88 24 71 36TH ST AND M ST NW 7 590 9 445 24 71 FIRTH STERLING AVE AND HOWARD RD SE 19 99 29 36 24 71

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.3: Intersection Rank by Crash Frequency for 2012-2014 (Rank: 71~100) 2011 2012 2013 INTERSECTION NAME Quad Freq Rank Freq Rank Freq Rank 42ND ST AND BLAINE ST NE 11 311 13 233 24 71 VERMONT AVE AND U ST NW 9 415 8 535 23 82 NORTH CAPITOL ST AND P ST BN 26 46 29 36 23 82 MALCOLM X AVE AND S CAPITOL ST BN 17 127 29 36 23 82 6TH ST AND NEW YORK AVE NW 26 46 25 56 23 82 SOUTHERN AVE AND S CAPITOL ST BN 20 89 13 233 23 82 ALABAMA AVE AND STANTON RD SE 17 127 10 377 23 82 20TH ST AND K ST NW 14 197 22 81 23 82 POTOMAC AVE AND S CAPITOL ST BN 12 258 16 159 23 82 18TH ST AND BELMONT RD NW 11 311 14 215 23 82 1ST ST AND MICHIGAN AVE NW 30 25 30 32 23 82 33RD ST AND M ST NW 14 197 13 233 23 82 9TH ST AND U ST NW 34 19 28 42 23 82 IRVING ST AND KENYON ST NW 8 499 20 96 23 82 7TH ST AND NEW YORK AVE NW 11 311 19 111 23 82 WISCONSIN AVE AND UPTON ST NW 11 311 20 96 22 96 11TH ST AND M ST SE 26 46 27 49 22 96 1ST ST AND NEW YORK AVE NW 30 25 32 31 22 96 14TH ST AND L ST NW 26 46 30 32 22 96 MINNESOTA AVE AND CLAY PL NE 7 590 10 377 22 96 FLORIDA AVE AND RHODE ISLAND AVE NW 13 224 17 136 22 96 MARTIN LUTHER KING AVE AND GOOD HOPE SE 9 415 15 185 22 96 RD 22ND ST AND L ST NW 9 415 13 233 22 96

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.4: Intersection Rank by Crash Frequency for 3-Year Periods (Rank: 1~35) 2011-2013 2012-2014 INTERSECTION NAME Quad Freq Rank Freq Rank NEW YORK AVE AND BLADENSBURG RD NE 239 1 282 1 NEW YORK AVE AND NORTH CAPITOL ST BN 197 2 187 2 WISCONSIN AVE AND M ST NW 172 3 165 3 14TH ST AND U ST NW 166 6 163 4 MINNESOTA AVE AND BENNING RD NE 170 4 161 5 1ST ST AND UNION STATION PLAZA NE 110 16 158 6 FLORIDA AVE AND NEW YORK AVE NE 167 5 158 6 FAIRLAWN AVE AND PENNSYLVANIA AVE SE 145 7 142 8 MINNESOTA AVE AND PENNSYLVANIA AVE SE 127 9 136 9 1ST ST AND NEW YORK AVE NE 117 13 133 10 NEW YORK AVE AND SOUTH DAKOTA AVE NE 111 15 133 10 14TH ST AND K ST NW 117 13 129 12 7TH ST AND FLORIDA AVE NW 118 12 127 13 STANTON RD AND SUITLAND PKWY SE 129 8 127 13 FIRTH STERLING AVE AND SUITLAND PKWY SE 122 11 125 15 MONTANA AVE AND NEW YORK AVE NE 110 16 124 16 14TH ST AND IRVING ST NW 108 18 115 17 13TH ST AND U ST NW 105 20 114 18 H ST AND NORTH CAPITOL ST BN 124 10 114 18 I ST AND S CAPITOL ST BN 106 19 113 20 BENNING RD AND EAST CAPITOL ST BN 103 21 106 21 NORTH CAPITOL ST AND RIGGS RD BN 99 24 102 22 9TH ST AND MASSACHUSETTS AVE NW 81 37 101 23 31ST ST AND M ST NW 92 26 100 24 KENILWORTH AVE AND BENNING RD NE 100 23 98 25 4TH ST AND NEW YORK AVE NW 91 28 96 26 14TH ST AND COLUMBIA RD NW 88 30 96 26 KENILWORTH AVE AND EAST CAPITOL ST BN 88 30 96 26 7TH ST AND H ST NW 91 28 95 29 RHODE ISLAND AVE AND REED ST NE 75 49 89 30 BENNING RD AND BLADENSBURG RD NE 79 40 88 31 15TH ST AND K ST NW 78 41 87 32 RHODE ISLAND AVE AND NORTH CAPITOL ST BN 72 55 87 32 14TH ST AND CONSTITUTION AVE NW 88 30 87 32 9TH ST AND U ST NW 92 26 85 35 14TH ST AND PARK RD NW 83 34 85 35 17TH ST AND I ST NW 74 50 84 37

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.5: Intersection Rank by Crash Frequency for 3-Year Periods (Rank: 35~74) 2011-2013 2012-2014 INTERSECTION NAME Quad Freq Rank Freq Rank 1ST ST AND NEW YORK AVE NW 101 22 84 37 16TH ST AND K ST NW 77 46 84 37 1ST ST AND MICHIGAN AVE NW 78 41 83 40 4TH ST AND NEW YORK AVE NE 94 25 83 40 24TH ST AND M ST NW 72 55 83 40 9TH ST AND NEW YORK AVE NW 72 55 82 43 CONNECTICUT AVE AND K ST NW 72 55 82 43 14TH ST AND L ST NW 74 50 78 45 EASTERN AVE AND KENILWORTH AVE NE 57 91 78 45 NORTH CAPITOL ST AND P ST BN 73 52 78 45 14TH ST AND PENNSYLVANIA AVE NW 82 35 78 45 24TH ST AND PENNSYLVANIA AVE NW 68 63 76 49 MINNESOTA AVE AND NANNIE HELEN BURROUGHS NE 59 82 75 50 AVE 11TH ST AND M ST SE 62 71 75 50 16TH ST AND NEW HAMPSHIRE AVE NW 63 69 75 50 K ST AND NORTH CAPITOL ST BN 87 33 74 53 2ND ST AND H ST NW 78 41 74 53 14TH ST AND I ST NW 82 35 74 53 6TH ST AND NEW YORK AVE NW 77 46 74 53 14TH ST AND RHODE ISLAND AVE NW 67 64 74 53 SOUTH DAKOTA AVE AND BLADENSBURG RD NE 81 37 72 58 MICHIGAN AVE AND NORTH CAPITOL ST BN 67 64 72 58 FIRTH STERLING AVE AND HOWARD RD SE 65 67 72 58 ALABAMA AVE AND PENNSYLVANIA AVE SE 56 93 72 58 19TH ST AND M ST NW 77 46 71 62 18TH ST AND ADAMS MILL RD NW 72 55 70 63 SOUTHERN AVE AND WHEELER RD SE 59 82 70 63 14TH ST AND F ST NW 60 77 70 63 16TH ST AND NEW YORK AVE NE 63 69 70 63 MARTIN LUTHER KING AVE AND HOWARD RD SE 67 64 70 63 14TH ST AND P ST NW 73 52 70 63 PENNSYLVANIA AVE AND ANACOSTIA FRWY SE 53 111 69 69 17TH ST AND PENNSYLVANIA AVE NW 60 77 69 69 MALCOLM X AVE AND S CAPITOL ST BN 54 103 69 69 17TH ST AND BLADENSBURG RD NE 78 41 69 69 12TH ST AND CONSTITUTION AVE NW 60 77 68 73 15TH ST AND MASSACHUSETTS AVE NW 52 117 67 74

94 DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.6: Intersection Rank by Crash Frequency for 3-Year Periods (Rank: 75~100) 2011-2013 2012-2014 INTERSECTION NAME Quad Freq Rank Freq Rank 12TH ST AND U ST NW 49 139 66 75 4TH ST AND MASSACHUSETTS AVE NW 58 87 66 75 KENILWORTH AVE AND LEE ST NE 47 157 66 75 M ST AND S CAPITOL ST BN 61 72 65 78 23RD ST AND I ST NW 54 103 65 78 BRANCH AVE AND PENNSYLVANIA AVE SE 69 60 65 78 19TH ST AND INDEPENDENCE AVE SE 78 41 65 78 CONNECTICUT AVE AND R ST NW 61 72 65 78 13TH ST AND K ST NW 69 60 65 78 6TH ST AND H ST NW 69 60 64 84 NEW JERSEY AVE AND NEW YORK AVE NW 73 52 63 85 13TH ST AND MASSACHUSETTS AVE NW 60 77 63 85 CONNECTICUT AVE AND M ST NW 61 72 62 87 14TH ST AND INDEPENDENCE AVE SW 52 117 62 87 SOUTHERN AVE AND BENNING RD SE 59 82 62 87 21ST ST AND K ST NW 58 87 61 90 11TH ST AND H ST NW 54 103 61 90 17TH ST AND BENNING RD NE 50 128 61 90 18TH ST AND K ST NW 55 97 60 93 12TH ST AND K ST NW 42 191 60 93 PENNSYLVANIA AVE AND POTOMAC AVE SE 49 139 60 93 M ST AND NORTH CAPITOL ST BN 81 37 60 93 GEORGIA AVE AND BARRY PL NW 60 77 59 97 44TH ST AND NANNIE HELEN BURROUGHS NE 46 165 59 97 AVE CONNECTICUT AVE AND CALVERT ST NW 54 103 59 97 20TH ST AND K ST NW 52 117 59 97 15TH ST AND H ST NW 47 157 59 97 FAIRVIEW AVE AND NEW YORK AVE NE 61 72 59 97

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 7.1: Top 100 Hazardous Intersections by Crash Number in 2012-2014

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 7.1.2 Rank by Crash Rate

Table 7.7: Intersection Rank by Crash Rate for 2012-2014 (Rank: 1~34) 2012 2013 2014 INTERSECTION NAME Quad RATE RANK RATE RANK RATE RANK 1ST ST AND UNION STATION PLAZA NE 3.98691 5 5.31589 2 6.84932 1 14TH ST AND U ST NW 4.70743 3 4.98988 4 5.64892 2 MARTIN LUTHER KING AVE AND GOOD SE 2.00468 72 3.34113 17 4.90032 3 HOPE RD 1ST ST AND M ST NE 3.26756 12 5.02702 3 4.77567 4 7TH ST AND G ST NW 2.81901 25 1.93807 99 4.75708 5 44TH ST AND NANNIE HELEN NE 2.16813 61 4.73046 5 4.73046 6 BURROUGHS AVE 17TH ST AND I ST NW 1.91005 85 3.46196 14 4.65574 7 ROCK CREEK CHURCH RD AND SPRING RD NW 2.31526 52 0.77175 478 4.63052 8 18TH ST AND KALORAMA RD NW 2.51516 42 1.79654 111 4.3117 9 24TH ST AND M ST NW 3.48692 7 2.61519 39 4.23412 10 7TH ST AND FLORIDA AVE NW 3.04414 17 3.04414 25 4.08556 11 SOUTHERN AVE AND WHEELER RD SE 2.55908 36 4.06443 8 3.91389 12 SOUTHERN AVE AND NAYLOR RD SE 2.46575 46 3.28767 18 3.83562 13 14TH ST AND IRVING ST NW 3.11762 15 3.96788 9 3.77893 14 SOUTHERN AVE AND S CAPITOL ST BN 3.28111 11 2.13272 74 3.77328 15 2ND ST AND E ST NW 1.24939 231 0.89242 389 3.74816 16 14TH ST AND COLUMBIA RD NW 2.818 26 3.5486 11 3.65297 17 FIRTH STERLING AVE AND HOWARD RD SE 2.84452 23 4.34164 6 3.59308 18 WISCONSIN AVE AND M ST NW 4.99467 2 3.5991 10 3.52565 19 NEW YORK AVE AND BLADENSBURG RD NE 2.36693 50 2.45569 44 3.52081 20 MARTIN LUTHER KING AVE AND SE 2.08245 68 3.51414 13 3.51414 21 HOWARD RD 14TH ST AND V ST NW 5.64061 1 4.29761 7 3.49181 22 21ST ST AND MARYLAND AVE NE 0.75061 505 0.75061 500 3.37774 23 19TH ST AND N ST NW 1.48898 156 1.48898 169 3.27576 24 PARK RD AND WARDER ST NW 0.72576 519 0.36288 839 3.2659 25 14TH ST AND RHODE ISLAND AVE NW 1.35534 204 2.61387 40 3.19473 26 MINNESOTA AVE AND BENNING RD NE 3.48002 8 3.54329 12 3.16366 27 7TH ST AND S ST NW 2.45873 47 2.10748 77 3.16122 28 3RD ST AND C ST NW 3.16122 14 2.10748 77 3.16122 28 MINNESOTA AVE AND NANNIE HELEN NE 1.62283 131 2.38652 48 3.15021 30 BURROUGHS AVE 14TH ST AND S ST NW 0.87173 421 1.61893 144 3.11333 31 12TH ST AND K ST NW 1.13724 281 1.96433 95 3.10158 32 10TH ST AND F ST NW 3.06305 16 1.70169 130 3.06305 33 VERMONT AVE AND U ST NW 1.19407 252 1.0614 314 3.05151 34

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.8: Intersection Rank by Crash Rate for 2012-2014 (Rank: 35~72) 2012 2013 2014 INTERSECTION NAME Quad RATE RANK RATE RANK RATE RANK 7TH ST AND H ST NW 2.95123 19 3.34473 16 3.04961 35 SOUTHERN AVE AND FITCH ST SE 0.99626 343 5.47945 1 2.98879 36 6TH ST AND G ST NW 1.91887 84 2.77171 35 2.98492 37 1ST ST AND MISSISSIPPI AVE SE 1.48093 159 1.48093 172 2.96187 38 14TH ST AND W ST NW 1.53425 146 2.41096 46 2.84932 39 NEW YORK AVE AND H ST NW 1.0054 338 1.17297 262 2.84864 40 9TH ST AND MASSACHUSETTS AVE NW 1.5322 147 2.99145 27 2.84552 41 SOUTHERN AVE AND BENNING RD SE 2.69017 30 3.25652 21 2.83176 42 24TH ST AND PENNSYLVANIA AVE NW 2.15726 63 3.2359 22 2.80444 43 14TH ST AND K ST NW 1.97988 76 2.14041 73 2.78253 44 ALABAMA AVE AND STANTON RD SE 2.05631 69 1.20959 254 2.78206 45 ALABAMA AVE AND GOOD HOPE RD SE 2.16091 62 2.93266 29 2.77831 46 5TH ST AND D ST NW 1.09589 296 1.91781 100 2.73973 47 13TH ST AND U ST NW 2.5777 35 3.09324 24 2.725 48 STANTON RD AND SUITLAND PKWY SE 2.51791 41 2.39801 47 2.69776 49 10TH ST AND MASSACHUSETTS AVE NW 0.93933 381 2.03523 87 2.66145 50 23RD ST AND ALABAMA AVE SE 0.88141 415 1.46902 175 2.64424 51 6TH ST AND F ST NW 2.42064 48 1.32035 222 2.6407 52 1ST ST AND K ST NE 3.28196 10 1.99772 91 2.56849 53 GEORGIA AVE AND BARRY PL NW 2.55798 37 2.82724 34 2.55798 54 4TH ST AND D ST NW 0 1112 1.39782 193 2.51607 55 FIRTH STERLING AVE AND SUITLAND SE 2.38731 49 2.21679 62 2.50099 56 PKWY 21ST ST AND F ST NW 0.61915 611 2.16701 70 2.47659 57 GEORGIA AVE AND PARK RD NW 2.20214 59 2.20214 64 2.46122 58 7TH ST AND D ST NW 1.96279 78 0.98139 343 2.45349 59 5TH ST AND K ST NW 2.28992 54 1.47209 174 2.45349 59 NEW JERSEY AVE AND E ST NW 1.39604 185 0.69802 548 2.44307 61 18TH ST AND ADAMS MILL RD NW 2.82245 24 1.55722 158 2.43315 62 33RD ST AND PROSPECT ST NW 0.8058 471 1.2087 255 2.41741 63 17TH ST AND PENNSYLVANIA AVE NW 1.77616 100 1.95378 97 2.39782 64 17TH ST AND T ST NW 0 1112 0.68068 558 2.38237 65 3RD ST AND D ST NW 2.68017 31 3.27576 19 2.38237 65 EASTERN AVE AND MINNESOTA AVE NE 1.9059 88 2.22355 59 2.38237 65 15TH ST AND H ST NW 1.69119 116 0.93015 367 2.36766 68 24TH ST AND L ST NW 2.63569 34 1.94208 98 2.35825 69 NEW HAMPSHIRE AVE AND V ST NW 2.9146 21 0.58292 644 2.33168 70 1ST ST AND HALLEY PL SE 1.54351 145 0.77175 478 2.31526 71 33RD ST AND N ST NW 1.38137 191 2.30229 53 2.30229 72

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.9: Intersection Rank by Crash Rate for 2012-2014 (Rank: 73~100) 2012 2013 2014 INTERSECTION NAME Quad RATE RANK RATE RANK RATE RANK 1ST ST AND M ST SE 0.65622 573 1.14839 275 2.29678 73 NEW HAMPSHIRE AVE AND S ST NW 1.14753 275 0.28688 918 2.29506 74 ALABAMA AVE AND PENNSYLVANIA AVE SE 1.36229 198 1.81639 109 2.27049 75 1ST ST AND MICHIGAN AVE NW 2.95654 18 2.95654 28 2.26668 76 23RD ST AND I ST NW 1.72581 110 3.02017 26 2.26513 77 3RD ST AND H ST NE 1.35854 201 1.35854 210 2.26424 78 14TH ST AND SPRING RD NW 2.24903 57 2.04457 85 2.24903 79 11TH ST AND COLUMBIA RD NW 1.23411 233 2.2214 60 2.2214 80 7TH ST AND F ST NW 2.04839 70 2.90189 31 2.21909 81 6TH ST AND FLORIDA AVE NW 1.99253 73 2.21392 63 2.21392 82 14TH ST AND P ST NW 2.92795 20 2.19596 65 2.19596 83 MINNESOTA AVE AND PENNSYLVANIA SE 1.89765 89 1.30463 228 2.17439 84 AVE 12TH ST AND FRANKLIN ST NE 1.30463 218 0.43488 778 2.17439 84 13TH ST AND H ST NE 0.82553 454 1.65106 141 2.16701 86 NEW JERSEY AVE AND H ST NW 1.1865 253 1.72581 125 2.15726 87 5TH ST AND F ST NW 0.91834 395 1.22446 252 2.1428 88 11TH ST AND U ST NW 1.06604 319 2.13208 75 2.13208 89 11TH ST AND H ST NW 2.64452 33 1.69249 132 2.11562 90 CENTRAL AVE AND SOUTHERN AVE SE 1.14954 272 1.53271 162 2.10748 91 14TH ST AND F ST NW 2.2696 55 1.29691 230 2.10748 91 4TH ST AND NEW YORK AVE NW 1.65273 125 2.35197 50 2.0977 93 8TH ST AND H ST NW 2.79208 28 2.09406 81 2.09406 94 GALVESTON ST AND S CAPITOL ST BN 1.47761 162 1.60074 148 2.09327 95 22ND ST AND I ST NW 1.39308 186 1.39308 194 2.08962 96 12TH ST AND H ST NW 1.66993 122 0.83496 430 2.08741 97 TEXAS AVE AND RIDGE RD SE 0.948 376 0.5688 653 2.0856 98 DIVISION AVE AND NANNIE HELEN NE 0.6936 545 1.0404 326 2.0808 99 BURROUGHS AVE 7TH ST AND R ST NW 1.55079 143 0.51693 700 2.06772 100

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Table 7.10: Intersection Rank by Crash Rate for 3-Year Periods (Rank: 1~35) 2011-2013 2012-2014 INTERSECTION NAME Quad RATE RANK RATE RANK 1ST ST AND UNION STATION PLAZA NE 3.74838 5 5.38404 1 14TH ST AND U ST NW 5.20956 1 5.11541 2 14TH ST AND V ST NW 4.29761 2 4.47668 3 1ST ST AND M ST NE 3.93783 4 4.35675 4 WISCONSIN AVE AND M ST NW 4.2112 3 4.03981 5 44TH ST AND NANNIE HELEN BURROUGHS AVE NE 3.02224 14 3.87635 6 14TH ST AND IRVING ST NW 3.40104 8 3.62148 7 FIRTH STERLING AVE AND HOWARD RD SE 3.24376 11 3.59308 8 SOUTHERN AVE AND WHEELER RD SE 2.96051 17 3.51247 9 24TH ST AND M ST NW 2.98879 15 3.44541 10 MARTIN LUTHER KING AVE AND GOOD HOPE RD SE 2.37591 42 3.41538 11 MINNESOTA AVE AND BENNING RD NE 3.58548 7 3.39566 12 7TH ST AND FLORIDA AVE NW 3.15095 12 3.39128 13 17TH ST AND I ST NW 2.94466 19 3.34259 14 14TH ST AND COLUMBIA RD NW 3.06154 13 3.33986 15 SOUTHERN AVE AND NAYLOR RD SE 3.28767 10 3.19635 16 7TH ST AND G ST NW 2.23172 48 3.17139 17 SOUTHERN AVE AND FITCH ST SE 2.32462 46 3.15484 18 7TH ST AND H ST NW 2.98402 16 3.11519 19 19TH ST AND INDEPENDENCE AVE SE 3.71005 6 3.0917 20 SOUTHERN AVE AND S CAPITOL ST BN 2.953 18 3.06237 21 MARTIN LUTHER KING AVE AND HOWARD RD SE 2.90676 20 3.03691 22 SOUTHERN AVE AND BENNING RD SE 2.78456 21 2.92615 23 18TH ST AND KALORAMA RD NW 2.45527 36 2.87447 24 3RD ST AND C ST NW 2.72216 22 2.80998 25 13TH ST AND U ST NW 2.5777 28 2.79864 26 NEW YORK AVE AND BLADENSBURG RD NE 2.35707 44 2.78115 27 3RD ST AND D ST NW 2.53127 33 2.77943 28 24TH ST AND PENNSYLVANIA AVE NW 2.4449 38 2.73254 29 1ST ST AND MICHIGAN AVE NW 2.56233 30 2.72659 30 GEORGIA AVE AND BARRY PL NW 2.69261 25 2.64773 31 ALABAMA AVE AND GOOD HOPE RD SE 2.36671 43 2.62396 32 1ST ST AND K ST NE 2.4258 39 2.61606 33 GEORGIA AVE AND BRYANT ST NW 2.70936 24 2.61594 34 10TH ST AND F ST NW 2.49582 35 2.60926 35

100

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.11: Intersection Rank by Crash Rate for 3-Year Periods (Rank: 36~73) 2011-2013 2012-2014 INTERSECTION NAME Quad RATE RANK RATE RANK 7TH ST AND S ST NW 2.22456 49 2.57581 36 ROCK CREEK CHURCH RD AND SPRING RD NW 1.02901 309 2.57251 37 6TH ST AND G ST NW 1.91887 67 2.5585 38 STANTON RD AND SUITLAND PKWY SE 2.57786 27 2.53789 39 9TH ST AND MASSACHUSETTS AVE NW 1.96998 61 2.45639 40 14TH ST AND P ST NW 2.54453 31 2.43996 41 9TH ST AND U ST NW 2.58916 26 2.39216 42 7TH ST AND F ST NW 2.16219 51 2.38979 43 14TH ST AND RHODE ISLAND AVE NW 2.16209 52 2.38798 44 MINNESOTA AVE AND NANNIE HELEN NE 1.8774 73 2.38652 45 BURROUGHS AVE FIRTH STERLING AVE AND SUITLAND PKWY SE 2.31153 47 2.36837 46 H ST AND NORTH CAPITOL ST BN 2.56785 29 2.36076 47 23RD ST AND I ST NW 1.94154 63 2.33704 48 8TH ST AND H ST NW 2.50124 34 2.32673 49 24TH ST AND L ST NW 1.94208 62 2.31201 50 14TH ST AND K ST NW 2.0869 58 2.30094 51 GEORGIA AVE AND PARK RD NW 2.41804 40 2.2885 52 18TH ST AND ADAMS MILL RD NW 2.33582 45 2.27094 53 6TH ST AND H ST NW 2.44713 37 2.26981 54 14TH ST AND W ST NW 2.41096 41 2.26484 55 6TH ST AND M ST NW 2.5406 32 2.19727 56 14TH ST AND SPRING RD NW 2.11272 55 2.18088 57 EASTERN AVE AND MINNESOTA AVE NE 1.9059 69 2.1706 58 11TH ST AND H ST NW 1.90406 70 2.15088 59 14TH ST AND MONROE ST NW 2.71428 23 2.1488 60 6TH ST AND FLORIDA AVE NW 1.80803 79 2.14012 61 SAVANNAH ST AND STANTON RD SE 3.32088 9 2.13485 62 6TH ST AND F ST NW 1.90717 68 2.12723 63 19TH ST AND N ST NW 1.68751 100 2.08457 64 5TH ST AND K ST NW 1.52661 127 2.07183 65 12TH ST AND K ST NW 1.4474 147 2.06772 66 13TH ST AND F ST NW 2.14307 54 2.04566 67 17TH ST AND PENNSYLVANIA AVE NW 1.77616 84 2.04258 68 4TH ST AND NEW YORK AVE NW 1.92819 66 2.03414 69 ALABAMA AVE AND STANTON RD SE 2.09663 57 2.01599 70 33RD ST AND N ST NW 1.84183 76 1.99532 71 14TH ST AND FLORIDA AVE NW 1.88947 71 1.99444 72 19TH ST AND M ST NW 2.15374 53 1.98592 73

101

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.12: Intersection Rank by Crash Rate for 3-Year Periods (Rank: 74~100) 2011-2013 2012-2014 INTERSECTION NAME Quad RATE RANK RATE RANK 1ST ST AND MISSISSIPPI AVE SE 1.15184 254 1.97458 74 2ND ST AND E ST NW 0.83292 421 1.96332 75 7TH ST AND I ST NW 1.79922 81 1.96279 76 NEW HAMPSHIRE AVE AND V ST NW 1.55445 121 1.94307 77 21ST ST AND PENNSYLVANIA AVE NW 1.78383 83 1.93894 78 5TH ST AND D ST NW 1.36986 164 1.91781 79 1ST ST AND MARTIN LUTHER KING AVE SE 1.71798 93 1.89882 80 8TH ST AND I ST SE 2.10748 56 1.89673 81 9TH ST AND F ST NW 1.70018 97 1.89449 82 11TH ST AND COLUMBIA RD NW 1.81003 78 1.8923 83 14TH ST AND F ST NW 1.62114 106 1.89133 84 10TH ST AND MASSACHUSETTS AVE NW 1.82648 77 1.87867 85 14TH ST AND S ST NW 1.24533 220 1.868 86 14TH ST AND MARYLAND AVE NE 1.8623 75 1.8623 87 WISCONSIN AVE AND Q ST NW 1.74113 91 1.84355 88 14TH ST AND H ST NE 1.76302 86 1.83354 89 I ST AND S CAPITOL ST BN 1.7073 96 1.82004 90 ALABAMA AVE AND PENNSYLVANIA AVE SE 1.41275 154 1.81639 91 BRENTWOOD RD AND W ST NE 2.01571 59 1.81003 92 6TH ST AND S ST NW 1.50534 132 1.80641 93 BENNING RD AND EAST CAPITOL ST BN 1.7484 89 1.79932 94 7TH ST AND D ST NW 1.30853 187 1.79922 95 MINNESOTA AVE AND PENNSYLVANIA AVE SE 1.67362 102 1.79222 96 11TH ST AND G ST NW 1.6184 108 1.7918 97 23RD ST AND P ST NW 1.88297 72 1.78882 98 2ND ST AND K ST NE 1.78484 82 1.78484 99 11TH ST AND U ST NW 1.45692 145 1.77674 100

102

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 7.1.3 Rank by Crash Cost

Table 7.13: Intersection Rank by Crash Severity Cost for 3-Year Periods (Rank: 1~35) 2011-2013 2012-2014 INTERSECTION NAME Quad COST RANK COST RANK NEW YORK AVE AND BLADENSBURG RD NE 2553 1 2988 1 FIRTH STERLING AVE AND SUITLAND PKWY SE 2362 2 2332 2 MINNESOTA AVE AND BENNING RD NE 2097 4 2046 3 NEW YORK AVE AND NORTH CAPITOL ST BN 2099 3 1914 4 STANTON RD AND SUITLAND PKWY SE 1769 5 1866 5 FLORIDA AVE AND NEW YORK AVE NE 1751 7 1781 6 MINNESOTA AVE AND PENNSYLVANIA AVE SE 1523 11 1697 7 MONTANA AVE AND NEW YORK AVE NE 1448 12 1605 8 7TH ST AND FLORIDA AVE NW 1759 6 1596 9 NEW YORK AVE AND SOUTH DAKOTA AVE NE 1253 15 1577 10 WISCONSIN AVE AND M ST NW 1640 9 1556 11 FAIRLAWN AVE AND PENNSYLVANIA AVE SE 1560 10 1539 12 14TH ST AND U ST NW 1644 8 1463 13 KENILWORTH AVE AND EAST CAPITOL ST BN 1280 14 1454 14 1ST ST AND UNION STATION PLAZA NE 992 33 1374 15 H ST AND NORTH CAPITOL ST BN 1374 13 1367 16 1ST ST AND NEW YORK AVE NE 1157 20 1322 17 I ST AND S CAPITOL ST BN 1170 18 1269 18 RHODE ISLAND AVE AND NORTH CAPITOL ST BN 1059 26 1254 19 PENNSYLVANIA AVE AND ANACOSTIA FRWY SE 668 100 1216 20 14TH ST AND K ST NW 1050 28 1200 21 NORTH CAPITOL ST AND RIGGS RD BN 1103 22 1194 22 BENNING RD AND EAST CAPITOL ST BN 1226 16 1172 23 4TH ST AND NEW YORK AVE NW 1053 27 1167 24 KENILWORTH AVE AND BENNING RD NE 1194 17 1164 25 MICHIGAN AVE AND NORTH CAPITOL ST BN 1081 25 1156 26 BENNING RD AND BLADENSBURG RD NE 1085 23 1137 27 RHODE ISLAND AVE AND REED ST NE 948 40 1136 28 13TH ST AND U ST NW 1007 30 1121 29 16TH ST AND NEW HAMPSHIRE AVE NW 899 48 1051 30 14TH ST AND IRVING ST NW 983 34 1050 31 15TH ST AND K ST NW 941 41 1040 32 7TH ST AND H ST NW 972 35 1032 33 SOUTHERN AVE AND WHEELER RD SE 950 39 1025 34 2ND ST AND H ST NW 1082 24 1001 35

103

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.14: Intersection Rank by Crash Severity Cost for 3-Year Periods (Rank: 35~71) 2011-2013 2012-2014 INTERSECTION NAME Quad COST RANK COST RANK 1ST ST AND NEW YORK AVE NW 1166 19 1001 35 SOUTH DAKOTA AVE AND BLADENSBURG RD NE 1005 32 1001 35 14TH ST AND COLUMBIA RD NW 915 47 998 38 14TH ST AND PENNSYLVANIA AVE NW 956 37 993 39 14TH ST AND PARK RD NW 894 49 962 40 MALCOLM X AVE AND S CAPITOL ST BN 714 80 962 40 CONNECTICUT AVE AND K ST NW 821 61 957 42 4TH ST AND NEW YORK AVE NE 1142 21 938 43 9TH ST AND MASSACHUSETTS AVE NW 819 63 923 44 1ST ST AND MICHIGAN AVE NW 855 53 923 44 31ST ST AND M ST NW 885 51 923 44 SOUTHERN AVE AND S CAPITOL ST BN 686 94 914 47 EASTERN AVE AND KENILWORTH AVE NE 692 89 909 48 MARTIN LUTHER KING AVE AND HOWARD RD SE 933 43 903 49 SOUTHERN AVE AND BENNING RD SE 926 45 896 50 9TH ST AND U ST NW 1007 30 894 51 MINNESOTA AVE AND NANNIE HELEN NE 728 78 893 52 BURROUGHS AVE 14TH ST AND CONSTITUTION AVE NW 930 44 893 52 16TH ST AND K ST NW 804 65 887 54 4TH ST AND MASSACHUSETTS AVE NW 755 71 884 55 ALABAMA AVE AND PENNSYLVANIA AVE SE 863 52 851 56 NORTH CAPITOL ST AND P ST BN 834 56 849 57 19TH ST AND M ST NW 836 55 845 58 FIRTH STERLING AVE AND HOWARD RD SE 705 87 840 59 15TH ST AND MASSACHUSETTS AVE NW 669 99 836 60 FAIRVIEW AVE AND NEW YORK AVE NE 821 61 827 61 11TH ST AND M ST SE 692 89 827 61 NEW JERSEY AVE AND NEW YORK AVE NW 1029 29 819 63 6TH ST AND NEW YORK AVE NW 825 59 818 64 BRANCH AVE AND PENNSYLVANIA AVE SE 713 81 813 65 FLORIDA AVE AND RHODE ISLAND AVE NW 746 72 807 66 17TH ST AND I ST NW 692 89 797 67 24TH ST AND M ST NW 585 138 797 67 44TH ST AND NANNIE HELEN BURROUGHS AVE NE 596 131 776 69 CONNECTICUT AVE AND CALVERT ST NW 633 107 771 70 9TH ST AND NEW YORK AVE NW 729 77 767 71

104 DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.15: Intersection Rank by Crash Severity Cost for 3-Year Periods (Rank: 73~100) 2011-2013 2012-2014 INTERSECTION NAME Quad COST RANK COST RANK 24TH ST AND PENNSYLVANIA AVE NW 822 60 767 71 K ST AND NORTH CAPITOL ST BN 960 36 758 73 KENILWORTH AVE AND LEE ST NE 555 154 758 73 18TH ST AND K ST NW 632 109 746 75 12TH ST AND U ST NW 581 140 746 75 18TH ST AND ADAMS MILL RD NW 743 74 744 77 14TH ST AND P ST NW 797 66 744 77 12TH ST AND INDEPENDENCE AVE SW 889 50 740 79 14TH ST AND L ST NW 843 54 735 80 MASSACHUSETTS AVE AND NORTH CAPITOL ST BN 743 74 734 81 ALABAMA AVE AND BRANCH AVE SE 638 105 729 82 GEORGIA AVE AND KENNEDY ST NW 633 107 725 83 MONTANA AVE AND RHODE ISLAND AVE NE 693 88 725 83 14TH ST AND F ST NW 617 120 722 85 36TH ST AND M ST NW 593 134 713 86 M ST AND S CAPITOL ST BN 684 95 707 87 16TH ST AND NEW YORK AVE NE 707 85 705 88 GEORGIA AVE AND BARRY PL NW 815 64 699 89 17TH ST AND PENNSYLVANIA AVE NW 570 146 698 90 14TH ST AND RHODE ISLAND AVE NW 645 102 698 90 GEORGIA AVE AND NEW HAMPSHIRE AVE NW 786 67 687 92 20TH ST AND K ST NW 626 111 686 93 6TH ST AND FLORIDA AVE NW 626 111 684 94 13TH ST AND MASSACHUSETTS AVE NW 609 125 684 94 20TH ST AND IRVING ST NE 711 83 674 96 EASTERN AVE AND NEW HAMPSHIRE AVE NE 620 119 672 97 ALABAMA AVE AND GOOD HOPE RD SE 566 147 671 98 POTOMAC AVE AND S CAPITOL ST BN 624 114 669 99 NORTH CAPITOL ST AND R ST BN 602 128 669 99 21ST ST AND K ST NW 624 114 669 99

105 DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 7.2: Top 100 Hazardous Intersections by Crash Cost in 2012-2014

106

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 7.1.4 Rank by Crash Composite Index

Table 7.16: Intersection Rank by Crash Composite Index for 2012-2014 (Rank: 1~35) 2012 2013 2014 INTERSECTION NAME Quad COMP RANK COMP RANK COMP RANK NEW YORK AVE AND BLADENSBURG RD NE 13.25 6 12.25 5 5.75 1 1ST ST AND UNION STATION PLAZA NE 14.75 7 11.75 4 7 2 14TH ST AND U ST NW 10.75 4 8.75 2 7.5 3 7TH ST AND FLORIDA AVE NW 11 5 21.5 13 10.5 4 MINNESOTA AVE AND BENNING RD NE 8 2 5.25 1 11.25 5 STANTON RD AND SUITLAND PKWY SE 15.75 8 21 12 17.75 6 WISCONSIN AVE AND M ST NW 5 1 9.5 3 18.75 7 14TH ST AND K ST NW 44.25 25 42.5 26 20 8 FIRTH STERLING AVE AND SUITLAND PKWY SE 17.25 9 20.25 9 21.25 9 24TH ST AND M ST NW 62.25 35 134.25 92 23.25 10 MINNESOTA AVE AND PENNSYLVANIA AVE SE 30 13 80.75 46 25.25 11 17TH ST AND I ST NW 224 159 38 23 25.5 12 14TH ST AND IRVING ST NW 34.5 16 19.75 8 26.75 13 14TH ST AND COLUMBIA RD NW 52.75 32 29.75 17 27.25 14 MONTANA AVE AND NEW YORK AVE NE 52 31 74.75 41 31.25 15 MINNESOTA AVE AND NANNIE HELEN BURROUGHS NE 131 91 55 33 31.25 15 AVE 13TH ST AND U ST NW 43.75 24 17 6 33.25 17 9TH ST AND MASSACHUSETTS AVE NW 124 84 28.75 15 34 18 7TH ST AND G ST NW 169.5 125 380.5 293 35.25 19 SOUTHERN AVE AND S CAPITOL ST BN 41.5 22 255.75 188 35.75 20 NEW YORK AVE AND NORTH CAPITOL ST BN 38.75 18 52.5 31 39.25 21 14TH ST AND RHODE ISLAND AVE NW 250.75 176 68.75 40 40.75 22 4TH ST AND NEW YORK AVE NW 79.75 45 25.75 14 41 23 12TH ST AND K ST NW 361 279 162.5 112 43 24 I ST AND S CAPITOL ST BN 67.75 38 32.25 19 43.25 25 15TH ST AND K ST NW 50 28 113 71 46 26 7TH ST AND H ST NW 34 15 20.5 11 51.25 27 16TH ST AND K ST NW 96.25 64 119.5 78 51.5 28 VERMONT AVE AND U ST NW 303.25 233 429.25 330 51.5 28 MARTIN LUTHER KING AVE AND HOWARD RD SE 84.25 50 40 24 54.75 30 FIRTH STERLING AVE AND HOWARD RD SE 113.5 77 29 16 55.25 31 44TH ST AND NANNIE HELEN BURROUGHS AVE NE 326.5 249 30.75 18 56.25 32 FLORIDA AVE AND NEW YORK AVE NE 27.5 12 34.5 21 56.75 33 SOUTHERN AVE AND WHEELER RD SE 92.75 60 18.25 7 57.25 34 ALABAMA AVE AND PENNSYLVANIA AVE SE 115 78 76.75 42 57.75 35

107

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.17: Intersection Rank by Crash Composite Index for 2012-2014 (Rank: 36~71) 2012 2013 2014 INTERSECTION NAME Quad COMP RANK COMP RANK COMP RANK BENNING RD AND EAST CAPITOL ST BN 80.75 46 20.25 9 60.25 36 17TH ST AND PENNSYLVANIA AVE NW 107.25 71 116 75 68.5 37 16TH ST AND NEW HAMPSHIRE AVE NW 49 27 111.75 70 68.5 37 H ST AND NORTH CAPITOL ST BN 8.5 3 41.75 25 69.25 39 18TH ST AND ADAMS MILL RD NW 39.5 19 190.25 127 72.25 40 ALABAMA AVE AND BRANCH AVE SE 246.75 173 102.75 67 72.5 41 ALABAMA AVE AND STANTON RD SE 132 92 316.25 243 73.25 42 15TH ST AND MASSACHUSETTS AVE NW 75 43 222.5 154 74.75 43 BRANCH AVE AND PENNSYLVANIA AVE SE 110.25 74 183.5 122 77.75 44 RHODE ISLAND AVE AND NORTH CAPITOL ST BN 155.75 114 100.75 64 79.25 45 SOUTH DAKOTA AVE AND BLADENSBURG RD NE 103.25 69 101.75 65 82 46 15TH ST AND H ST NW 144.75 99 473.5 391 82 46 14TH ST AND PARK RD NW 130.75 90 34.25 20 83 48 CONNECTICUT AVE AND K ST NW 180 132 84.5 48 83.5 49 24TH ST AND PENNSYLVANIA AVE NW 76 44 51.5 30 83.5 49 14TH ST AND F ST NW 39.75 20 289.25 218 84 51 GEORGIA AVE AND KENYON ST NW 193.75 138 252.75 184 84.25 52 14TH ST AND PENNSYLVANIA AVE NW 42.25 23 226.25 160 85.25 53 9TH ST AND NEW YORK AVE NW 123.75 82 66 36 85.25 53 13TH ST AND H ST NE 567.25 492 124.5 82 86.5 55 6TH ST AND FLORIDA AVE NW 148.25 107 93.75 57 89 56 1ST ST AND MICHIGAN AVE NW 25.25 11 44 27 92.5 57 MICHIGAN AVE AND NORTH CAPITOL ST BN 162.25 119 126 84 92.75 58 4TH ST AND MASSACHUSETTS AVE NW 156 115 122.25 79 97.75 59 18TH ST AND KALORAMA RD NW 149.75 108 462 373 98.5 60 2ND ST AND H ST NW 36.25 17 179.25 120 98.75 61 14TH ST AND S ST NW 775.75 761 234.25 169 99 62 SOUTHERN AVE AND BENNING RD SE 51.25 30 47.25 28 103.5 63 NEW YORK AVE AND SOUTH DAKOTA AVE NE 206.5 152 87.25 51 104.5 64 NORTH CAPITOL ST AND RIGGS RD BN 50 28 79.75 44 104.5 64 7TH ST AND NEW YORK AVE NW 332.75 256 146.25 102 105 66 ALABAMA AVE AND GOOD HOPE RD SE 99.25 66 154.5 106 106.75 67 6TH ST AND NEW YORK AVE NW 68.25 39 91.5 55 107.75 68 18TH ST AND M ST NW 481.25 409 340.75 260 108.25 69 18TH ST AND K ST NW 155.5 113 195.25 134 110 70 11TH ST AND H ST NW 81.25 47 212.75 146 110.5 71

108 DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.18: Intersection Rank by Crash Composite Index for 2012-2014 (Rank: 72~100) 2012 2013 2014 INTERSECTION NAME Quad COMP RANK COMP RANK COMP RANK MARTIN LUTHER KING AVE AND GOOD HOPE RD SE 543.25 469 190.5 128 111.75 72 4TH ST AND NEW YORK AVE NE 88.75 52 94.75 59 112 73 12TH ST AND H ST NW 151.75 109 673.25 630 115.75 74 2ND ST AND E ST NW 534.25 461 813 814 117 75 IRVING ST AND KENYON ST NW 632.75 577 126.75 85 117.25 76 23RD ST AND ALABAMA AVE SE 411.5 330 227.5 162 117.5 77 K ST AND NORTH CAPITOL ST BN 104.25 70 117.75 76 120.5 78 GEORGIA AVE AND IRVING ST NW 126.75 86 486.25 404 122 79 14TH ST AND P ST NW 33 14 115.25 74 125.25 80 GEORGIA AVE AND PARK RD NW 118 79 179 119 126 81 NEW JERSEY AVE AND H ST NW 243.5 169 211 144 129.75 82 33RD ST AND M ST NW 270.75 194 330.75 255 130 83 GEORGIA AVE AND BARRY PL NW 61.5 34 102 66 133.5 84 14TH ST AND HARVARD ST NW 601.75 537 950.25 1015 134.75 85 9TH ST AND U ST NW 18.75 10 66.25 37 136 86 BRENTWOOD PKWY AND MOUNT OLIVET RD NE 234.25 165 383.5 298 137 87 19TH ST AND M ST NW 88.75 52 34.5 21 137.25 88 16TH ST AND IRVING ST NW 147.25 105 191.5 129 137.5 89 14TH ST AND CONSTITUTION AVE NW 98.75 65 159 110 137.5 89 9TH ST AND PENNSYLVANIA AVE NW 581.75 515 187.5 125 137.75 91 BENNING RD AND BLADENSBURG RD NE 186.5 135 207 142 138.75 92 16TH ST AND BENNING RD NE 567.25 492 606.75 552 140 93 FLORIDA AVE AND RHODE ISLAND AVE NW 239 166 191.5 129 140.75 94 14TH ST AND H ST NW 147 104 462.5 374 141 95 MONTANA AVE AND RHODE ISLAND AVE NE 152.75 111 247 180 141.5 96 14TH ST AND H ST NE 84.75 51 198.75 136 141.5 96 22ND ST AND L ST NW 599.25 535 351.75 265 143 98 18TH ST AND MASSACHUSETTS AVE NW 409.5 327 130.75 90 143.5 99 CONNECTICUT AVE AND R ST NW 191.5 137 90.25 54 144.75 100

109

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.19: Intersection Rank by Crash Composite Index for 3-Year Periods (Rank: 1~37) 2011-2013 2012-2014 INTERSECTION NAME Quad COMP RANK COMP RANK MINNESOTA AVE AND BENNING RD NE 4.75 1 5.75 1 NEW YORK AVE AND BLADENSBURG RD NE 11.75 6 7.5 2 WISCONSIN AVE AND M ST NW 6 3 7.5 2 14TH ST AND U ST NW 5.75 2 8 4 1ST ST AND UNION STATION PLAZA NE 21.75 9 9.25 5 7TH ST AND FLORIDA AVE NW 9 4 11 6 STANTON RD AND SUITLAND PKWY SE 11.25 5 15.5 7 FIRTH STERLING AVE AND SUITLAND PKWY SE 15.5 7 16.25 8 14TH ST AND IRVING ST NW 23.5 10 21.5 9 H ST AND NORTH CAPITOL ST BN 16.25 8 24.25 10 13TH ST AND U ST NW 27 12 25.5 11 14TH ST AND K ST NW 31.75 16 26.25 12 7TH ST AND H ST NW 28.5 14 28.5 13 14TH ST AND COLUMBIA RD NW 34.25 18 29.25 14 MINNESOTA AVE AND PENNSYLVANIA AVE SE 33.25 17 29.75 15 FLORIDA AVE AND NEW YORK AVE NE 26.5 11 34.5 16 SOUTHERN AVE AND WHEELER RD SE 44.25 23 35 17 4TH ST AND NEW YORK AVE NW 37 20 35.75 18 I ST AND S CAPITOL ST BN 37.75 21 36.5 19 9TH ST AND MASSACHUSETTS AVE NW 56 34 37.75 20 1ST ST AND MICHIGAN AVE NW 44.25 23 39.5 21 BENNING RD AND EAST CAPITOL ST BN 35.5 19 40.25 22 NEW YORK AVE AND NORTH CAPITOL ST BN 28.75 15 40.25 22 MONTANA AVE AND NEW YORK AVE NE 48.25 25 41.25 24 9TH ST AND U ST NW 28 13 44.75 25 MARTIN LUTHER KING AVE AND HOWARD RD SE 42.5 22 45.75 26 FIRTH STERLING AVE AND HOWARD RD SE 63 43 46 27 24TH ST AND M ST NW 86.5 60 46 27 17TH ST AND I ST NW 61.75 39 46.25 29 MINNESOTA AVE AND NANNIE HELEN BURROUGHS AVE NE 77.75 54 49.75 30 15TH ST AND K ST NW 61.75 39 51.75 31 SOUTHERN AVE AND BENNING RD SE 48.25 25 52.5 32 24TH ST AND PENNSYLVANIA AVE NW 55.25 33 55 33 SOUTHERN AVE AND S CAPITOL ST BN 77.25 52 55.75 34 14TH ST AND PARK RD NW 61.25 38 59.75 35 44TH ST AND NANNIE HELEN BURROUGHS AVE NE 110.25 73 60.25 36 19TH ST AND M ST NW 52.25 29 62.75 37

110

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.20: Intersection Rank by Crash Composite Index for 3-Year Periods (Rank: 38~74) 2011-2013 2012-2014 INTERSECTION NAME Quad COMP RANK COMP RANK 14TH ST AND P ST NW 53.75 31 64.5 38 16TH ST AND NEW HAMPSHIRE AVE NW 89.25 62 64.5 38 ALABAMA AVE AND PENNSYLVANIA AVE SE 87.75 61 65.25 40 18TH ST AND ADAMS MILL RD NW 62 41 67.5 41 NORTH CAPITOL ST AND RIGGS RD BN 66.25 47 68.25 42 14TH ST AND RHODE ISLAND AVE NW 80 56 69.25 43 2ND ST AND H ST NW 50.75 28 70 44 16TH ST AND K ST NW 81.5 58 71.5 45 9TH ST AND NEW YORK AVE NW 84.5 59 73.25 46 6TH ST AND NEW YORK AVE NW 64.5 45 75.75 47 GEORGIA AVE AND BARRY PL NW 57.5 36 76.5 48 14TH ST AND L ST NW 65.25 46 77.5 49 17TH ST AND PENNSYLVANIA AVE NW 113.25 75 79.25 50 14TH ST AND F ST NW 105.75 68 79.25 50 SOUTH DAKOTA AVE AND BLADENSBURG RD NE 56.5 35 81.5 52 14TH ST AND PENNSYLVANIA AVE NW 67.25 48 84.25 53 4TH ST AND NEW YORK AVE NE 52.5 30 88 54 6TH ST AND FLORIDA AVE NW 110 72 88 54 3RD ST AND D ST NW 91.25 65 88.5 56 ALABAMA AVE AND GOOD HOPE RD SE 125.5 87 90.25 57 GEORGIA AVE AND BRYANT ST NW 75.75 50 95 58 1ST ST AND M ST NE 121.25 83 95.5 59 14TH ST AND I ST NW 64 44 95.5 59 15TH ST AND MASSACHUSETTS AVE NW 151 112 95.75 61 19TH ST AND INDEPENDENCE AVE SE 49.75 27 96.5 62 CONNECTICUT AVE AND K ST NW 119.5 81 97.75 63 BRANCH AVE AND PENNSYLVANIA AVE SE 89.25 62 98 64 K ST AND NORTH CAPITOL ST BN 54 32 98.75 65 7TH ST AND G ST NW 193.25 148 99.5 66 RHODE ISLAND AVE AND NORTH CAPITOL ST BN 129 91 100.5 67 12TH ST AND K ST NW 240 182 101.25 68 13TH ST AND K ST NW 80 56 102.25 69 1ST ST AND NEW YORK AVE NW 58.5 37 102.75 70 ALABAMA AVE AND BRANCH AVE SE 128.5 90 104.25 71 MICHIGAN AVE AND NORTH CAPITOL ST BN 109.5 70 106.25 72 11TH ST AND H ST NW 147.25 108 106.25 72 6TH ST AND H ST NW 76.75 51 106.5 74

111

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University Table 7.21: Intersection Rank by Crash Composite Index for 3-Year Periods (Rank: 75~100) 2011-2013 2012-2014 INTERSECTION NAME Quad COMP RANK COMP RANK 14TH ST AND H ST NE 131.5 94 107.25 75 1ST ST AND K ST NE 116.75 78 107.75 76 4TH ST AND MASSACHUSETTS AVE NW 129.25 92 109.25 77 23RD ST AND I ST NW 142.5 103 109.5 78 NORTH CAPITOL ST AND P ST BN 117.25 79 115.5 79 21ST ST AND K ST NW 121.75 84 117.25 80 CONNECTICUT AVE AND R ST NW 95.25 66 117.75 81 17TH ST AND BLADENSBURG RD NE 62.75 42 119.75 82 14TH ST AND CONSTITUTION AVE NW 109.5 70 120.25 83 GEORGIA AVE AND PARK RD NW 117.25 79 120.75 84 NEW YORK AVE AND SOUTH DAKOTA AVE NE 142 102 120.75 84 ALABAMA AVE AND STANTON RD SE 77.5 53 121.25 86 13TH ST AND MASSACHUSETTS AVE NW 136.25 97 122.5 87 PENNSYLVANIA AVE AND SOUTHERN AVE SE 77.75 54 123.75 88 WISCONSIN AVE AND Q ST NW 129.75 93 124.25 89 CONNECTICUT AVE AND CALVERT ST NW 148.75 109 125 90 11TH ST AND U ST NW 178.5 129 126.25 91 WEST VIRGINIA AVE AND MOUNT OLIVET RD NE 71 49 130.5 92 21ST ST AND PENNSYLVANIA AVE NW 145.5 105 131.75 93 14TH ST AND V ST NW 138.5 100 132.5 94 18TH ST AND K ST NW 158.25 116 136 95 GEORGIA AVE AND KENYON ST NW 216.25 165 139.25 96 16TH ST AND M ST NW 114 76 140.75 97 16TH ST AND FLORIDA AVE NW 124.5 86 143.25 98 16TH ST AND IRVING ST NW 155.75 115 144.75 99 13TH ST AND H ST NE 186.25 139 145.75 100

112 DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 7.3: Top 100 Hazard Intersections by Crash Composite Index in 2012-2014

113 DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 7.4: Top 100 Hazardous Intersections by Crash Rate Index in 2012-2014

114

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 7.5: Top 100 Hazardous Intersections by Crash Rate Index in 2012-2014

115

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University

Figure 7.6: Top 20 Hazardous Intersections by Crash Trend through 2012-2014

116

DC Traffic Crash Statistics for 2012-2014 HUTRC-Howard University 7.2 PD-10 Form

117 PD 10 Rev. December 2008 TRAFFIC CRASH REPORT Metropolitan Police Department, Washington, DC 189 (Type of Record N/A in any field that does not apply to this event. For yes/no questions, circle one. Crash) All dates should be formatted as mm/dd/yyyy Explain any “other” responses in narrative.

190 1 Date of Crash 2 Time of 3 Day of 4 Date of Report 5 Complaint Number (CCN) 6 UCC Number (Road Surface Crash (Use Week military)

7 Type of Crash (Check all that apply) 8 Location (Street/bridge/tunnel name & quadrant) 9 District 10 PSA 191  01 Fatality  02 Injury  03 Property Damage Only  04 Hit & Run (Road Type)  05 Pedestrian  06 D.C. Prop.  07 Non-Collision  08 Comm. Veh.  99 Other Enter the number of feet, in whatever direction, from the nearest intersection or block (0 feet if at an exact location). On freeways, enter the number of feel from the nearest mile post or PEPCO pole no., etc. Indicate if accident occurred on exit ramp, bridge, tunnel or other. Finally, circle the city quadrant.

192 (Road Condi- tion) 11 Location Type and Name ______Feet N S E W from Intersection/Block: ______Freeway Mile Post: ______

PEPCO Pole No: ______Exit Ramp: ______Bridge: ______Tunnel:______

193 Other: ______Circle Quadrant: NW SW NE SE (Street Light- 13 On-Street Location  01 At Intersection 14 Off-Street Location 01 Public Space 12 Construction Zone? 15 Report taken on scene? ing)  02 Within 100’ of Intersection  03 Not at Intersection  02 Private Property  97 N/A Y N  04 Private Property  97 N/A  99 Other: ______ 99 Other: ______Y N

194 16 Photos taken? 16a If yes, # photos 17 # Vehicles 18 # Injured Persons 19a-d # Occupants (Incl. driver) 20 # Fatalities (Light Condi- Involved tion) Y N Vehicle # 1 ______2______3 ______4 ______

21 OBJECT TYPE (Describe fixed object and damage in narrative) 50 OBJECT TYPE (Describe fixed object and damage in narrative) 195 (Weather)  01 Driver  02 Pedestrian  03 Bicyclist  04 Parked Car  05 Animal  01 Driver  02 Pedestrian  03 Bicyclist  04 Parked Car  05 Animal  06 Other Fixed Object  97 N/A  99 Other: ______ 06 Other Fixed Object  97 N/A  99 Other: ______

196 (Traffic 22 Last Name First Middle 23 Sex 24 DOB 51 Last Name First Middle 52 Sex 53 DOB Condition)

25 Street Address 26 City, State, Zip 54 Street Address 55 City, State, Zip 197 (Roadway Type) 27 Home/Cell Number 28 Work Number 56 Home/Cell Number 57 Work Number

198 (Traffic 29 License Number 30 State 31 Class 32 Ins Exp Date 58 License Number 59 State 60 Class 61 Ins Exp Date Controls)

33 Driver’s Insurance Co. Name 34 Policy # 62 Insurance Co. Name 63 Policy # 199 (Pedestrian Action) 35 Make 36 Model 37 Year 38 Body 39 Color 64 Make 65 Model 66 Year 67 Body 68 Color

200a-h 40 Vehicle ID Number (VIN) 69 Vehicle ID Number (VIN) (Sequence)

41 Tag Number 42 State 43 Year 70 Tag Number 71 State 72 Year VEHICLE #2 (TYPE, CONTACT INFO, INSURANCE, ETC.) INFO, VEHICLE #2 (TYPE, CONTACT STRIKING OBJECT (TYPE, CONTACT INFO, INSURANCE, ETC.) INFO, (TYPE, CONTACT OBJECT STRIKING 44 Owner’s Last Name First Middle 45 Owner 73 Owner’s Last Name First Middle 74 Owner Same as Operator Info (skip to next section) Notified? Same as Operator Info (skip to next section) Notified?

Y N Y N

46 Owner’s Street Address 47 City, State, Zip 75 Owner’s Street Address 76 City, State, Zip

48 Owner’s Telephone # 49 Veh. Insurance Co. (if different 77 Owner’s Telephone # 78 Veh. Insurance Co. (if different from #33) from #62)

of 4 PD 10 Rev. December 2008 TRAFFIC CRASH REPORT Metropolitan Police Department, Washington, DC 200h-p (Sequence) 79 OBJECT TYPE (Describe fixed object and damage in narrative) 108 OBJECT TYPE (Describe fixed object and damage in narrative)

 01 Driver  02 Pedestrian  03 Bicyclist  04 Parked Car  05 Animal  01 Driver  02 Pedestrian  03 Bicyclist  04 Parked Car  05 Animal  06 Other Fixed Object  97 N/A  99 Other: ______ 06 Other Fixed Object  97 N/A  99 Other: ______

80 Last Name First Middle 81 Sex 82 DOB 109 Last Name First Middle 110 111 DOB Sex

83 Street Address 84 City, State, Zip 112 Street Address 113 City, State, Zip

85 Home/Cell Number 86 Work Number 114 Home/Cell Number 115 Work Number

87 License Number 88 State 89 Class 90 Ins Exp Date 116 License Number 117 State 118 Class 119 Ins Exp Date

201a-c (Seat Loca- 91 Driver’s Insurance Co. Name 92 Policy # 120 Insurance Co. Name 121 Policy # tion Code)

93 Make 94 Model 95 Year 96 Body 97 Color 122 Make 123 Model 124 Year 125 Body 126 Color

98 Vehicle ID Number (VIN) 127 Vehicle ID Number (VIN)

202a-c (Seat Belt 100 State 101 Year 129 State 130 Year Code) 99 Tag Number 128 Tag Number VEHICLE #3 (TYPE, CONTACT INFO, INSURANCE, ETC.) INFO, VEHICLE #3 (TYPE, CONTACT INSURANCE, ETC.) INFO, VEHICLE #4 (TYPE, CONTACT

102 Owner’s Last Name First Middle 103 Owner 131 Owner’s Last Name First Middle 132 Owner Same as Operator Info (skip to next section) Notified? Same as Operator Info (skip to next section) Notified?

Y N Y N

203a-c 104 Owner’s Street Address 105 City, State, Zip 133 Owner’s Street Address 134 City, State, Zip (Air Bag Code)

106 Owner’s Telephone # 107 Veh. Insurance Co. (if different 135 Owner’s Telephone # 136 Veh. Insurance Co. (if different from #33) from #62)

INVOLVED PERSONS: In the next section, include all operators, passengers and pedestrians involved even if not injured. 137a-c Assoc. 138a-c Last Name, First Name 139a-c Street Address, City, State, Zip 140a-c Home/Cell/ 141a- 142a- 143a-c Empl. 144a-c w/vehicle # Work # c Sex e Age by DC Govt? Taken to 204a-c Hosp? (Ejection Code) 1 Y N Y N

2 Y N Y N

3 Y N Y N

INJURED PERSONS 205a-c 145a-c Last Name, First 146a-c Where Taken 147a-c By Whom (Last Name, 148a-c Ma- 149a-c 150a-c Relative Notified? 151a-c Status (Injury Code) Name (Hospital) First Name) jor Crash Teletype (If Yes, Last & First Name & (Admitted, Re- Notified? Notified? Relationship) leased, Unknown)

1 Y N Y N

2 Y N Y N

3 Y N Y N

152a-c Last Name First Middle 153a-c Street Address, City, State, Zip 154a-c Telephone #

2 Non- Involved Witnesses 3

of 4 PD 10 Rev. December 2008 TRAFFIC CRASH REPORT Metropolitan Police Department, Washington, DC POLICE ACTION RELATING TO DRIVERS & PEDESTRIANS 155a-c Arrest/NOI# 156a-c Primary and Secondary Charges (Report must support 157a-c What Traffic Signs Were Present? charges)

158 STRIKING OBJECT/VEHICLE 160 Skid Marks 161 Circle All Areas With Damage: 162 Vehicle Was . . . #1: Direction of Travel and Street  01 Left on Scene Before Crash (must match narra- To Impact: ______tive and diagram)  02 Towed By: ______1 2 3 4 5 6 13 Hood After Impact: ______ 01 N/B  02 E/B  03 S/B 14 Roof Towed to: ______ N/A 15 Trunk  04 W/B  97 N/A 16 Undercarriage 17 Overturned Towing Control #:______ 99 Other______18 Other (Explain in Narrative) 159 Vehicle Disabled?  03 Driven Away By: ______12 11 10 9 8 7 Y N  97 N/A  99 Other

163 VEHICLE #2: Direction of 165 Skid Marks 166 Circle All Areas With Damage: 167 Vehicle Was . . . Travel and Street Before Crash  01 Left on Scene (must match narrative and To Impact: ______diagram) 1 2 3 4 5 6 13 Hood  02 Towed By: ______After Impact: ______ 01 N/B  02 E/B  03 S/B 14 Roof 15 Trunk Towed to: ______ N/A  04 W/B  97 N/A 16 Undercarriage 17 Overturned Towing Control #:______ 99 Other______18 Other (Explain in Narrative) 164 Vehicle Disabled? 12 11 10 9 8 7  03 Driven Away By: ______Y N  97 N/A  99 Other

168 VEHICLE #3: Direction of 170 Skid Marks 171 Circle All Areas With Damage: 172 Vehicle Was . . . Travel and Street Before Crash  01 Left on Scene

VEHICLE CONDITION (must match narrative and To Impact: ______diagram) 1 2 3 4 5 6 13 Hood  02 Towed By: ______After Impact: ______14 Roof  01 N/B  02 E/B  03 S/B 15 Trunk Towed to: ______ N/A  04 W/B  97 N/A 16 Undercarriage 17 Overturned Towing Control #:______ 99 Other______18 Other (Explain in Narrative) 169 Vehicle Disabled? 12 11 10 9 8 7  03 Driven Away By: ______Y N  97 N/A  99 Other

173 VEHICLE #4: Direction of 175 Skid Marks 176 Circle All Areas With Damage: 177 Vehicle Was . . . Travel and Street Before Crash  01 Left on Scene (must match narrative and To Impact: ______diagram) 1 2 3 4 5 6 13 Hood  02 Towed By: ______After Impact: ______ 01 N/B  02 E/B  03 S/B 14 Roof 15 Trunk Towed to: ______ N/A  04 W/B  97 N/A 16 Undercarriage 17 Overturned Towing Control #:______ 99 Other______18 Other (Explain in Narrative) 174 Vehicle Disabled? 12 11 10 9 8 7  03 Driven Away By: ______Y N  97 N/A  99 Other

206a-c 207a-c 208a-c 209a-c 210a-d Cell 211a-d 212a-d 213a-d 214a-d 215a-d 216a-d Driver/ Impairment Type of Blood/ Phone/Other Driver/ Primary Driver Vehicle Vehicle Vehicle Pedestrian Test Alcohol Electronic Pedestrian Contributing Action Type: Type: Type: Condition Conducted Content Device Distraction Circumstances Private Govt Comm Present (Y/N)?

Involved Vehicle #1 Person #1 Vehicle #2 Involved Person #1 Vehicle #3 Involved Person #3 Vehicle #4

of 4 PD 10 Rev. December 2008 TRAFFIC CRASH REPORT Metropolitan Police Department, Washington, DC 178 Crash Diagram (Not to Scale) (The diagram must correspond to the narrative. If the report is being taken by an officer after the fact, the diagram shall be completed to show the general area in which the crash occurred. Please indicate freeway access ramps, exit ramps and bridges. Indicate type of fixed object(s), direction, posted speed and vehicles by number indicated in spaces above.)

179 Detailed Narrative (Give a concise statement, in your own words, of the facts that are not covered in this report, or to clarify any items that are not satisfactorily explained (“other” answers). If statements are taken, use PD 118 (Defendant/Suspect Statement) or PD 119 (Complainant/Witness Statement). If accident occurred in a construction zone, describe type of construction zone. Wherever pos- sible, list the item number of the corresponding section.

Narrative Continued on PD 10B Supplemental

This report is used for statistical analysis of vehicular crashes and the prevention thereof. The data given represents the opinion and conclusions of the reporting officer, based on his/her judgement after considering all the facts disclosed through his/her investigation of this crash.

180 Reporting Member’s Name/CAD/Badge # 181 Unit 182 Signature 183 Official’s Name/CAD/Badge # 184 Official’s Unit

185 Official’s Signature 186 Reviewer 187 Distribution 188 Date Complaint Number (CCN)

Use PD 10B Supplemental for Motor Carrier Vehicle Information and additional space.

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