Braddock Metro Neighborhood Plan (2008)
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MAPA-2050-LRTP-Appendix-C-Travel-Demand-Model-Documentation.Pdf
Travel Demand Model | 2050 LRTP Table of Contents Introduction Figure C1: MAPA Transportation Management Area TMIP Peer Review 2010 Federal Certification Review Model Structure Figure C2: Four-Step Travel Demand Model Structure Enhanced Model Structure Figure C3: Multimodal Travel Demand Model Structure Existing Network and SE Data Traffic Analysis Zones Figure C4: Traffic Analysis Zones Socio-Economic Data Table C1: Historic Population Trends in the MAPA TMA Table C2: Forecasted Population Growth in the MAPA Region, 2010 to 2050 Figure C5: Change in Single Family Households Figure C6: Change in Employment Network Updates Table C3 - Road Network Fields Figure C7 - Count Locations External Analysis Update Figure C8 - External Station Locations Model Features Time of Day Non-Motorized Trips Figure C9 - Binomial Logit Model Figure C10 - Modeled Walk/Bike Mode Shares Compared to Weighted NHTS Data Income Based Trip Distribution Figure C11: HBW Trip Distribution – Model vs. Weighted NHTS 1 | MAPA Long Range Transportation Plan 2050 Figure C12: HBNW Trip Distribution – Model vs. Weighted NHTS Figure C13: NHB Trip Distribution – Model vs. Weighted NHTS Mode Choice Figure C14: Base Year Transit Network Truck Demand Module Access to Jobs Calibration and Validation Trip Generation/Distribution Table C4 - Unbalanced Production and Attraction Ratios Table C5 - HBSH Trip Rate Updates Table C6 - HBSch Trip Rate Updates Table C7 - Trips Per Household Comparison Trip Distribution Validation Checks and Calibration Adjustments Figure C15 - HBW Friction -
1200 N Henry St (Route 1) // Old Town Alexandria, VA 22314
1200 N Henry St (Route 1) // Old Town Alexandria, VA 22314 20,100 SF Anchor Space Available For More Matt Skalet Dimitri Georgelakos 5225 Wisconsin Avenue, NW Information, [email protected] [email protected] Suite 600 Please Contact: 202.420.7775 703.288.2999 Washington, DC 20015 1200 N Henry St (Route 1) // Old Town Alexandria, VA 22314 Property Highlights: Demographic Snapshot // 2017: > Billboard opportunity for 20,100 SF anchor space on Route 1 .25-Mile 1-Mile 2-Mile /North Henry (47,000 ADT) Population 2,851 28,020 73,938 > Conveniently located between downtown Old Town and Daytime Population 1,552 37,888 74,242 Potomac Yards Average HH Income $154,447 $166,189 $155,499 > 1st floor of 109 unit resid ential building > 89 dedicated retail parking spaces. There will be additional on street Traffic Counts // 2017: parking on newly constructed Fayette Street Henry St (Route 1) 47,000 (ADT) For More Matt Skalet Dimitri Georgelakos 52255225 Wisconsin Wisconsin Avenue, Ave, NW NW Information, [email protected] [email protected] SuiteSuite 600 600 Please Contact: 202.420.7775 703.288.2999 Washington,Washington, DC DC 20015 20015 1200 N Henry St (Route 1) // Old Town Alexandria, VA 22314 GROUND FLOOR N FAYETTE ST. N FAYETTE Retail 20,100 PROPOSED NORTH HENRY (ROUTE 1) 47,00 ADT FULL ACCESS RETAIL PARKING N FAYETTE ST. N FAYETTE 89 SPACES PROPOSED NORTH HENRY (ROUTE 1) 47,00 ADT FULL ACCESS Site Plan For More Matt Skalet Dimitri Georgelakos 5225 Wisconsin Avenue, NW Information, [email protected] [email protected] Suite 600 Please -
Shuttle Services at Metro Facilities August 2011
Shuttle Services at Metro Facilities August 2011 Shuttle Services at Metro Facilities Washington Metropolitan Area Transit Authority Office of Bus Planning August 2011 Washington Metropolitan Area Transit Authority Office of Bus Planning Jim Hamre, Director of Bus Planning Krys Ochia, Branch Manager 600 5th Street NW Washington, DC 20001 Parsons Brinckerhoff Brian Laverty, AICP, Project Manager Nicholas Schmidt, Task Manager 1401 K Street NW, Suite 701 Washington, DC 20005 Contents Executive Summary ES-1 Existing Conditions ES-1 Policies and Procedures ES-2 Future Demand ES-3 Recommendations ES-4 Introduction 1 Study Process 3 Coordination 3 On-Site Observations 3 Operating Issues 3 Future Demand 4 Permitting and Enforcement 4 Existing Conditions 7 Key Observations 8 Operating Issues 9 Policies and Procedures 17 Permitting 17 Enforcement 19 Future Demand 25 Methodology 25 Results 28 Recommendations 33 Facility Design 34 Demand Management 37 Permitting 39 Enforcement 42 Contents | i Figures Figure ES-1: Future Shuttle Demand Estimate ES-4 Figure 1: Location of Peer U.S. Transit Agencies 4 Figure 2: Study Stations 7 Figure 3: Vehicles in Tight Turning Areas May Block Bus Bay Entrances (New Carrollton Station) 11 Figure 4: Long Kiss & Ride Queue (New Carrollton Station) 11 Figure 5: Pedestrian Shortcut (Southern Avenue Station) 11 Figure 6: Shuttle Blocking Kiss & Ride Travel Lane (King Street Station) 12 Figure 7: Shuttle Blocking Bus Stop (Anacostia Station) 13 Figure 8: Typical Signs Prohibiting Non-Authorized Access to Station Bus Bays -
Transportation Planning Models: a Review
National Conference on Recent Trends in Engineering & Technology Transportation Planning Models: A Review Kevin B. Modi Dr. L. B. Zala Dr. F. S. Umrigar Dr. T. A. Desai M.Tech (C) TSE student, Associate Professor, Principal, Professor and Head of Civil Engg. Department, Civil Engg. Department, B. V. M. Engg. College, Mathematics Department, B. V. M. Engg. College, B. V. M. Engg. College, Vallabh Vidyamagar, India B. V. M. Engg. College, Vallabh Vidyamagar, India Vallabh Vidyamagar, India [email protected] Vallabh Vidyamagar, India [email protected] [email protected] [email protected] Abstract- The main objective of this paper is to present an the form of flows on each link of the horizon-year networks as overview of the travel demand modelling for transportation recorded by Pangotra, P. and Sharma, S. (2006), “Modelling planning. Mainly there are four stages model that is trip Travel Demand in a Metropolitan City”. In the present study, generation, trip distribution, modal split and trip assignment. Modelling is an important part of any large scale decision The choice of routes in the development of transportation making process in any system. Travel demand modelling aims planning depends upon certain parameters like journey time, distance, cost, comfort, and safety. The scope of study includes to establish the spatial distribution of travel explicitly by the literature review and logical arrangement of various models means of an appropriate system of zones. Modelling of used in Urban Transportation Planning. demand thus implies a procedure for predicting what travel decisions people would like to make given the generalized Keywords- transportation planning; trip generation;trip travel cost of each alternatives. -
10B-FY2020-Budget-Adoption-FINALIZED.Pdf
Report by Finance and Capital Committee (B) 03-28-2019 Washington Metropolitan Area Transit Authority Board Action/Information Summary MEAD Number: Resolution: Action Information 202068 Yes No TITLE: Adopt FY2020 Operating Budget and FY2020-2025 CIP PRESENTATION SUMMARY: Staff will review feedback received from the public and equity analysis on the FY2020 Proposed Budget and request approval of the Public Outreach and Input Report, FY2020 Operating Budget and FY2020-2025 Capital Improvement Program (CIP). PURPOSE: The purpose of this item is to seek Board acceptance and approval of the Public Outreach and Input Report and Title VI equity analysis, and the FY2020 Operating Budget and FY2020-2025 CIP. DESCRIPTION: Budget Priorities: Keeping Metro Safe, Reliable and Affordable The budget is built upon the General Manager/CEO's Keeping Metro Safe, Reliable and Affordable (KMSRA) strategic plan. Metro is making major progress to achieve the goals of this plan by ramping up to average capital investment of $1.5 billion annually, establishing a dedicated capital trust fund exclusive to capital investment, and limiting jurisdictional annual capital funding growth to three percent. Metro continues to encourage the U.S. Congress to reauthorize the Passenger Rail Investment and Improvement Act (PRIIA) beyond FY2020, which provides $150 million in annual federal funds matched by $150 million from the District of Columbia, State of Maryland, and Commonwealth of Virginia. In order to establish a sustainable operating model, Metro is limiting jurisdictional operating subsidy growth to three percent and deploying innovative competitive contracting. The items on the KMSRA agenda that remain to be completed include restructuring retirement benefits and creating a Rainy Day Fund. -
Joint WMATA/City Meeting #1
BRADDOCK METRO STATION REDEVELOPMENT BRADDOCK METRO STATION BRADDOCK METRO STATION REDEVELOPMENT Joint City/WMATA Community Meeting June 26, 2014 Charles Houston Recreation Center www.alexandriava.gov/Braddock PURPOSE OF MEETING BRADDOCK METRO STATION REDEVELOPMENT BRADDOCK METRO STATION • Introduce WMATA’s Joint Development RFP Process and Transit Needs • Present Small Area Plan and Implementation Progress • Obtain Input on Metro Station Presenters: • Susan Eddy, City of Alexandria • Stan Wall, WMATA 2 TRANSIT ORIENTED DEVELOPMENT BRADDOCK METRO STATION REDEVELOPMENT BRADDOCK METRO STATION • At Metro sites, WMATA is committed to Transit Oriented Development (TOD): – Density for high ridership – Mixed Uses to create origins and destinations – Pedestrian-oriented to minimize auto dependence Example: Twinbrook Joint Development 3 WHAT IS JOINT DEVELOPMENT? BRADDOCK METRO STATION REDEVELOPMENT BRADDOCK METRO STATION • A creative program that markets property owned by WMATA to commercial, residential or mixed-use developers to create a Transit Oriented Development (TOD). • Through a competitive joint development solicitation WMATA selects a developer. Example: White Flint Joint Development Rendering • WMATA prefers to enter a long-term ground lease for development of the site. 4 WMATA JOINT DEVELOPMENT OBJECTIVES BRADDOCK METRO STATION REDEVELOPMENT BRADDOCK METRO STATION • Integrate WMATA transit facilities • Foster safe station access • Promote and enhance transit ridership • Provide mixed-use development and active public spaces • Help -
BTC WMATA Station Summer 2019 Shutdown Update
Fairfax Connector and Metrobus Plans for Alternative Service during WMATA’s Reconstruction of Blue and Yellow Line Stations South of Reagan National Airport Station Board Transportation Committee Meeting March 26, 2019 Michael Felschow & Anna Nissinen Fairfax County Department of Transportation Background: Platform Conditions ▪ 45 outdoor station platforms have been exposed to weather and de-icing agents for decades ▪ Platforms built 35 to 40 years ago are now deteriorating • 10 stations already have rebuilt platforms Braddock Road Station • 15 stations have platforms in good condition • 20 stations have platforms requiring immediate attention; temporary measures have been installed where needed to stabilize and ensure safety until reconstruction occurs ▪ Concrete repair is a necessary safety project Department of Transportation Van Dorn Station 2 WMATA Major Outage Guidelines to Minimize Customer Impacts • No station should experience two major outages in a three-year period • Focus construction on summer and major holiday weekends to reduce impact on loyal commuters • Concentrate work to minimize impact to riders, rather than conducting a series of smaller outages • Deliver best possible service outside work zone • Provide public notification several months in advance Department of Transportation 3 Platform Rehabilitation Project ▪ During Summer 2019, there will be no Blue or Yellow Line rail service south of National Airport from Saturday, May 25 to Monday, September 2, 2019 ▪ Anticipated Construction Schedule: • May 25- September 2, -
A Joint Modeling Analysis of Passengers' Intercity Travel
Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2016, Article ID 5293210, 10 pages http://dx.doi.org/10.1155/2016/5293210 Research Article A Joint Modeling Analysis of Passengers’ Intercity Travel Destination and Mode Choices in Yangtze River Delta Megaregion of China Yanli Wang,1 Bing Wu,1 Zhi Dong,2 and Xin Ye1 1 Key Laboratory of Road and Traffic Engineering of Ministry of Education, School of Transportation Engineering, Tongji University, 4800 Cao’an Road, Shanghai 201804, China 2School of Highway, Chang’an University, Xi’an 710064, China Correspondence should be addressed to Xin Ye; [email protected] Received 17 March 2016; Revised 14 June 2016; Accepted 20 June 2016 Academic Editor: Yakov Strelniker Copyright © 2016 Yanli Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Joint destination-mode travel choice models are developed for intercity long-distance travel among sixteen cities in Yangtze River Delta Megaregion of China. The model is developed for all the trips in the sample and also by two different trip purposes, work- related business and personal business trips, to accommodate different time values and attraction factors. A nested logit modeling framework is applied to model trip destination and mode choices in two different levels, where the lower level is a mode choice model and the upper level is a destination choice model. The utility values from various travel modes in the lower level are summarized into a composite utility, which is then specified into the destination choice model as an intercity impedance factor. -
White Paper Series Bicycle and Pedestrian Forecasting Tools: State
White Paper Series Bicycle and Pedestrian Forecasting Tools: State of the Practice April 2015 Alisar Aoun, Julie Bjornstad, Brooke DuBose, Meghan Mitman, and Mollie Pelon, Fehr & Peers For: Federal Highway Administration DTFHGI-11-H-00024 www.pedbikeinfo.org This material is based upon work supported by the Federal Highway Administration under Cooperative Agreement No. DTFH610110H-00024. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the Author(s) and do not necessarily reflect the view of the Federal Highway Administration. Introduction Transportation forecasting models predict levels of activity, and help inform decisions on issues such as future facility use and the prioritization of projects. Travel and demand forecasting methods have long been used to estimate the number of vehicles traveling on a specific street or network and to estimate ridership for mass transit. Many jurisdictions and metropolitan planning organizations use forecasting methods to determine the potential impact of new development, changes to roadway capacity, or projected ridership for new transit. However, these methods have traditionally excluded pedestrian and bicycle activity. For communities seeking to support walking and bicycling activity, quantifying the use and potential demand of facilities that support active transportation is increasingly important. To meet this need, bicycle and pedestrian forecasting models are being developed and integrated into planning projects focusing on facilitating mobility, managing resources, and improving health and safety. These emerging forecasting approaches vary widely in the amount of data and level of effort required. The type, specificity, and reliability of data also vary between different forecasting approaches. For example, data used in forecasting models can range from readily available U.S. -
SANDAG Travel Demand Model Documentation
Technical Appendix 15 SANDAG Travel Demand Model Documentation Appendix Contents SANDAG Travel Demand Model Documentation ............................ TA 15-2 2050 Regional Transportation Plan SANDAG Travel Demand . SANDAG Transportation Model Sensitivity Model Documentation Analysis and Report: This report provides insight into the sensitivity and elasticity of Technical Appendix 15 includes several the SANDAG four-step travel demand reports that document the SANDAG Travel model in terms of policy and operational Demand Model, as follows: adjustment. 2050 Regional Travel Demand Model Documentation: This report presents a description of the components of the SANDAG travel demand model used in the 2050 Regional Transportation Plan, including a general flow of information and some of the key inputs, assumptions, and computations for each of the components. SANDAG Off-Model Greenhouse Gas Reduction Methodology for the 2050 Regional Transportation Plan: This paper documents the SANDAG methodology for estimating the off-model greenhouse gas (GHG) reductions for several strategies included in the 2050 Regional Transportation Plan (RTP). These strategies include aspects of the bicycle, pedestrian, safe routes to schools, vanpool, carpool, and buspool programs. SANDAG Travel Demand Model Validation Report: This report provides a guide to the accuracy of the SANDAG transportation model compared to observed data in and around 2008. It also provides detailed technical information on how the transportation model was used to support the development -
Braddock Road Metrorail Station
BRADDOCK ROAD METRORAIL STATION: JOINT DEVELOPMENT ANALYSIS Washington Metropolitan Area Transit Authority March 2016 Prepared by: [This page intentionally left blank] Braddock Road Metrorail Station: Joint Development Analysis Contents 1. Purpose of Study ............................................................................................................................. 1 2. Description of Station Site................................................................................................................ 2 3. Neighborhood Context .................................................................................................................... 4 3.1 2008 Braddock Metro Neighborhood Plan................................................................................ 4 3.2 Market Assessment .................................................................................................................. 6 3.3 Stormwater Assessment........................................................................................................... 7 4. Station Access and Circulation Needs ............................................................................................... 7 4.1 Transit ...................................................................................................................................... 8 4.2 Pedestrian and Bicycle ............................................................................................................. 9 5. Development Parameters and Guidelines .................................................................................... -
Transportation Module
UrbanFootprint Technical Documentation Transportation Analysis Overview The UrbanFootprint Transportation module is a high-level travel model that produces estimates of the following metrics for land use and transportation scenarios: • Vehicle miles traveled (VMT) • Trips taken, organized by mode • Transportation costs • Greenhouse gas (GHG) emissions and pollutant emissions The UF transportation module estimates VMT and mode share with sensitivities to the effects of the built environment on travel behaviors. These effects are quantified within the UF transportation module according to the Mixed-Use Development (MXD) method, which consists of statistical models based on research of observed relationships between characteristics known as “D” factors and travel behavior in cities and regions across the US. In turn, VMT estimates are used to calculate greenhouse gas (GHG) emissions, pollutant emissions, and household auto costs. Refer to the documentation for the Emissions and Household Costs modules for further information on those analyses. Transportation analysis is run at the scale of the project canvas (generally parcels or census blocks), yielding a mapped spatial output layer and corresponding data table; both can be used within UrbanFootprint for mapping and data exploration, and exported. The module also reports individual and comparative scenario results via summary charts, and generates a spreadsheet summary in Excel format. Module version 2.3.10 DRAFT rev. 6/07/19 Methodology The travel forecasting capabilities of UrbanFootprint are based on a comprehensive body of research on the observed relationships between trip generation and characteristics of the built environment1. The Ds Among the findings of this research is that urban form, transportation supply, and management policies affect VMT, automobile travel, and transit in at least 8 different ways.