TRANSPORTATION SITE IMPACT HANDBOOK Estimating the Transportation Impacts of Growth

Total Page:16

File Type:pdf, Size:1020Kb

TRANSPORTATION SITE IMPACT HANDBOOK Estimating the Transportation Impacts of Growth TRANSPORTATION SITE IMPACT HANDBOOK Estimating the Transportation Impacts of Growth STATE OF FLORIDA DEPARTMENT OF TRANSPORTATION SYSTEMS PLANNING OFFICE 605 SUWANNE STREET, MS 19 TALLAHASSEE, FLORIDA 32399‐0450 www.dot.state.fl.us/planning Transportation Site Impact Handbook April 2014 We have tried to have the most up to date information. However, due to changes in legislation and acceptable practices, we recommend you check with the links in this handbook. | 2 Contents Transportation Site Impact Handbook April 2014 Contents 1 Introduction ................................................................................................................................................7 1.1 Purpose of Handbook ...................................................................................................................7 1.2 Background ..................................................................................................................................9 1.2.1 Why is a Transportation Impact Analysis Needed? ................................................................... 11 1.2.2 The FDOT Reviewer’s Role ......................................................................................................... 12 1.3 About this Handbook .................................................................................................................. 13 1.4 Updates to this Handbook .......................................................................................................... 15 1.4.1 State Transportation Facilities and Concurrency ...................................................................... 16 2 The Transportation Impact Process ............................................................................................................ 17 2.1 Introduction ...............................................................................................................................17 2.1.1 Considerations for the Components of a Transportation Impact Study ................................... 19 2.2 Methodology Development ....................................................................................................... 21 2.2.1 Study Area Requirements .......................................................................................................... 21 2.2.2 Time Horizons – Analysis Years ................................................................................................. 23 2.2.3 Travel Adjustment Factors ......................................................................................................... 25 2.2.4 Standard “K” Factors ................................................................................................................. 29 2.3 Existing Conditions Analysis and Data Collection ......................................................................... 30 2.3.1 Data Collection .......................................................................................................................... 30 2.3.2 Proposed Site Development Characteristics ............................................................................. 31 2.3.3 Existing Transportation System Data ......................................................................................... 31 2.3.4 Traffic Counts and other Transportation Data .......................................................................... 33 2.3.5 Land Use and Demographic Data for Large Scale Models ......................................................... 36 2.4 Trip Generation of the New Development ................................................................................... 38 2.4.1 Trip Generation Data ................................................................................................................. 38 2.4.2 Use of Trip Generation Rates or Equations ............................................................................... 41 2.4.3 Trip Types .................................................................................................................................. 41 2.4.4 Explanation of the 10 Percent of the Adjacent Street Traffic ................................................... 44 2.4.5 Pass-by Trips and Model Volumes ............................................................................................. 46 2.4.6 Limitations of Trip Generation Data .......................................................................................... 48 2.4.7 Internal Capture Rates for Multi Use Developments ................................................................ 50 2.4.8 Community Capture .................................................................................................................. 55 2.5 Projecting Future Conditions ....................................................................................................... 59 2.5.1 Projecting Future Background Traffic ........................................................................................ 59 2.5.2 The Growth Rate/Trend Method for Projecting Background Traffic ........................................ 60 2.5.3 Build-Up Method ....................................................................................................................... 66 2.5.4 Model Methods Using FSUTMS to Distribute Trips for Developments ..................................... 66 2.6 Trip Distribution ......................................................................................................................... 70 2.6.1 Different Types of Manual Methods for Trip Distribution ........................................................ 70 2.7 Mode Split/Alternative Travel Forecasts ..................................................................................... 72 We have tried to have the most up to date information. However, due to changes in legislation and acceptable practices, we recommend you check with the links in this handbook. | 3 Contents Transportation Site Impact Handbook April 2014 2.8 Trip Assignment ......................................................................................................................... 73 2.8.1 General Considerations ............................................................................................................. 73 2.8.2 Manual Methods of Trip Assignment ........................................................................................ 75 2.8.3 Traffic Attenuation with Manual Traffic Assignment ................................................................ 76 2.8.4 Model Methods of Trip Assignment .......................................................................................... 77 2.8.5 Trip Assignment at Intersections ............................................................................................... 80 2.8.6 Documentation of Trip Assignment ........................................................................................... 80 2.9 Access Management, Site Access, and Internal Circulation ........................................................... 81 2.10 Mitigation and Future Transportation Needs ............................................................................. 83 2.10.1 LOS Analysis Tools ................................................................................................................... 84 2.10.2 Bicycle & Pedestrian LOS Analysis ........................................................................................... 84 2.10.3 Detailed Transit and Multimodal Quality of Service Tools ...................................................... 85 2.11 Multimodal References ............................................................................................................. 86 3 Local Government Comprehensive Plan Reviews ....................................................................................... 87 3.1 Comprehensive Plans and Plan Amendments .............................................................................. 87 3.1.1 Introduction to Growth Management and Comprehensive Plans ............................................ 87 3.2 The Comprehensive Plan Amendment Process ............................................................................ 90 3.2.1 Expedited State Review Process ................................................................................................ 90 3.2.2 State Coordinated Review Process ............................................................................................ 91 3.2.3 Small Scale Amendment Process ............................................................................................... 93 3.2.4 Future Land Use Map (FLUM) .................................................................................................... 93 3.2.5 Agency Roles .............................................................................................................................. 94 3.3 Review of Future Land Use Map (FLUM) Amendments ................................................................ 95 3.3.1 Legal Authorities ........................................................................................................................ 96 3.3.2 Review Procedure ...................................................................................................................... 96 3.4 Review of Text Amendments .................................................................................................... 100 3.4.1 Review Procedures .................................................................................................................
Recommended publications
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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
    [Show full text]
  • 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.
    [Show full text]
  • A Framework for Megaregion Analysis: Development and Proof of Concept
    A Framework for Megaregion Analysis: Development and Proof of Concept Prepared by: National Center for Smart Growth Research and Education at the University of Maryland Frederick W. Ducca Ting Ma Sabyasachee Mishra Timothy Welch Parsons Brinckerhoff Rick Donnelly Tara Weidner Rolf Moeckel ECONorthwest Terry Moore Randall Pozdena University of Illinois Brian Deal Arnab Chakraborty David Simmonds Consultancy David Simmonds Federal Highway Administration Supin Yoder May 2013 Funding provided by the Federal Highway Administration, Exploratory Advanced Research Program [This Page Intentionally Left Blank] Contents EXECUTIVE SUMMARY ............................................................................................................. I FRAMEWORK ............................................................................................................................. I CHESAPEAKE MEGAREGION .............................................................................................. III CONCLUSION ......................................................................................................................... VII 1. INTRODUCTION ...................................................................................................................... 1 1.1. BACKGROUND .............................................................................................................. 1 2. MEGAREGION CONCEPT ...................................................................................................... 3 2.1. THE NEED FOR A MEGAREGION
    [Show full text]
  • SCHEME & SYLLABUS Master of Architecture Specialisation- Urban Design
    SCHEME & SYLLABUS Master of Architecture Specialisation- Urban Design (2013) University of Kerala Scheme of Studies for Master of Architecture Stream : Urban Design Semester 1 Marks Remarks Name of Subject No. Code Credits week/ Hrs SemExam End (Hours) Internal Continuous Assessment Semester End Exam Total Of the 40 marks of internal assessment , 25 marks for test AUM 1001 Statistics 3 3 3 40 60 100 and 15 marks for assignment End-of- Semester Exam by University Urban Design – History, AUC 1001 Theory, Practice and 3 3 3 40 60 100 -do- Process AUC 1002 Urban Morphology 3 3 3 40 60 100 -do- Urban Planning AUC 1003 3 3 3 40 60 100 -do- Techniques and systems Of th e 20 0 ma rks of internal assessment, 30 marks for AUC 1101 Urban Design Studio-I 7 14 --- 200 100 300 seminar and 170 marks for studio work. End semester Jury TOTAL 19 26 360 340 700 2 University of Kerala Scheme of Studies for Master of Architecture Stream : Urban Design Semester 2 Marks Remarks Name of Subject No. Code Credits week/ Hrs SemExam End (Hours) Internal Continuous Assessment Semester End Exam Total Of the 40 marks of Planning Legislation internal assessment, AUC and Development 25 marks for test Management 3 3 3 40 60 100 and 15 marks for 2001 assignment. End-of- Semester Exam by University Elective -1(Stream * 3 3 3 40 60 100 -do- Elective 1) Elective – 2 * (Departmental 3 3 3 40 60 100 -do- Elective) Of the 40 marks o f internal assessment, ACC 25 marks for test Research Methodology 3 3 3 40 60 100 and 15 marks for 2000 assignment.
    [Show full text]
  • The Urban Spatial Structure of Employment and Its Impacts on Transportation and Urban Development: a Case Study of Dhaka Megacity
    THE URBAN SPATIAL STRUCTURE OF EMPLOYMENT AND ITS IMPACTS ON TRANSPORTATION AND URBAN DEVELOPMENT: A CASE STUDY OF DHAKA MEGACITY Ahsanul Kabir A thesis in fulfilment of the requirements for the degree of Doctor of Philosophy Faculty of the Built Environment University of New South Wales Sydney, Australia July 2013 i ORIGINALITY STATEMENT ‘I hereby declare that this submission is my own work and to the best of my knowledge it contains no materials previously published or written by another person, or substantial proportions of material which have been accepted for the award of any other degree or diploma at UNSW or any other educational institution, except where due acknowledgement is made in the thesis. Any contribution made to the research by others, with whom I have worked at UNSW or elsewhere, is explicitly acknowledged in the thesis. I also declare that the intellectual content of this thesis is the product of my own work, except to the extent that assistance from others in the project's design and conception or in style, presentation and linguistic expression is acknowledged.’ Signed …………………………………………….............. Date …………………………………………….............. ii Abstract In recent times, the Asian region has become a central theme in debates on economic growth and urbanization. Asian urbanization shows a distinctive character with accumulation of resources to a few selected cities and, in turn, rapid growth to megacity status. The nature and the scale of urbanization towards these megacities has posed complex and demanding challenges for planners and policymakers dealing with issues of sustainable urban development. One of the most demanding challenges is inadequate understanding of the urban spatial structure – allocation of activities in the urban landscape – of megacities.
    [Show full text]
  • Analysis of Trip Generation Rates in Residential Commuting Based on Mobile Phone Signaling Data
    T J T L U http://jtlu.org V. 12 N. 1 [2019] pp. 201–220 Analysis of trip generation rates in residential commuting based on mobile phone signaling data Fei Shi Le Zhu Nanjing University Nanjing University [email protected] [email protected] Abstract: In this paper, mobile phone signaling data are first processed Article history: to extract information such as the trip volume and spatial distribution Received: July 17, 2018 from the starting point to the termination point. This information is Received in revised form: then used to identify the residential and employment locations of users. August 31, 2018 Next, multiple Thiessen polygons based on cell towers are aggregated Accepted: November 27, 2018 into Traffic Analysis Zones (TAZs) to minimize differences between the Available online: March 28, actual cell tower coverage and the theoretical coverage. Then, based on 2019 TAZ cluster analysis involving transport accessibility and commuting population density, multiple stepwise regression is applied to obtain the commuting trip production rates and attraction rates for overall resi- dential land and each subdivided housing type during the peak morning hours. The obtained commuting trip generation rates can be directly applied to local transport analysis models. This paper suggests that as information and data sharing continue, mobile phone signaling data will become increasingly important for use in future trip rate research. Keywords: Trip rate, signaling data, commuting trip, trip generation, trip production, trip attraction 1 Introduction 1.1 About trip generation Trip generation is the first step in the conventional four-step transport forecasting process (followed by trip distribution, mode choice, and route assignment) and is widely used for forecasting travel demands.
    [Show full text]
  • Braddock Metro Neighborhood Plan (2008)
    ACKNOWLEDGEMENTS CITY COUNCIL Consultant Team Interdepartmental Team Mayor William D. Euille GOODY CLANCY ALEXANDRIA EcONOMIC Vice Mayor Redella S. Pepper David Dixon, FAIA DEVELOPMENT PARTNERSHIP Councilman Ludwig P. Gaines Phil Goff Stuart L. Litvin, CEcD Councilman K. Rob Krupicka Ben Carlson Stephanie Landrum Councilmember Timothy B. Lovain Martina Ruhfass ALEXANDRIA REDEVELOPMENT Councilman Paul C. Smedberg Ganesh Ramachandran AND HOUSING AUTHORITY Councilman Justin M. Wilson Steve Wolf Roy Priest, Interim Executive Paul Santos Director PLANNING COMMISSION David Curran Eric R. Wagner, Chair Agnieszka Siuda ALEXANDRIA TRANSIT COMPANY (DASH) John Komoroske, Vice Chair Sandy Modell H. Stewart Dunn, Jr. KRAMER & ASSOCIATES Al Himes Donna Fossum Robert Kramer Jesse Jennings Andrew Bing OFFICE OF HOUSING Mary Lyman Edward Thomas Mildrilyn Stephens Davis, Director J. Lawrence Robinson Helen McIlvaine KITTELSON AND ASSOCIATES CITY MANAGER’S OFFICE Yolanda Takesian POLICE DEPARTMENT James K. Hartmann, City Manager Brandon Nevers David P. Baker, Chief Mark Jinks, Deputy City Manager Phill Worth Captain David Huchler DEPARTMENT OF PLANNING RETAIL COMPASS RECREATION, PARKS & CULTURAL AND ZONING AcTIVITIES Heather Arnold Faroll Hamer, Director Kirk Kincannon, Director Aimee Vosper Richard Josephson, Deputy Director W-ZHA, LLC Kathleen Beeton, Division Chief, Laura Durham Sarah Woodworth Neighborhood Planning and Mary Stephenson Community Development TRANSPORTATION & ENVIRON- Jeffrey Farner, Division Chief, MENTAL SERVICES Development Richard Baier, Director Thomas H. Canfield, NCARB, Thomas Culpepper City Architect Yon Lambert Carrie Beach, Urban Planner Sandra Marks Andrew Spurgin, Urban Planner James Maslanka Valerie Peterson, Urban Planner Special thanks to Rhae Parkes from Abt Associates for graciously volunteering her time to make a presentation on public housing issues during Community Workshop #1.
    [Show full text]
  • The Urban Planning Process
    Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 1972 The urban planning process. Dames, Thomas Allan. Purdue University http://hdl.handle.net/10945/16420 m THE URBAN PLANNING PROCESS A Thesis Submitted to the Faculty of Purdue University by Thomas Allan Dames II In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 1972 T148501 LIBRARY 1:L NAVAL POSTGRADUATE SCHOOS MOIJTERSY, £AJ*X1P< &334Q To Ursula Anne Ill ACKNOWLEDGMENTS With a deep sense of gratitude, the author wishes to personally thank Dr. William L. Grecco, Professor of Urban Planning and Engineering at Purdue University, for his enlightened leadership and counsel, not only during the conduct of this research, but throughout our warm and professional association. All that is worthwhile in this work was born of this association. To receive such counsel from Dr. Grecco is an unforgettable intellectual pleasure. For their interest, guidance, and reasoned criticism of this research, the author wishes to sincerely thank Professor Harold L. Michael, Head of Urban Planning and Engineering at Purdue, Professor Robert D. Miles of the School of Civil Engineering, and Dr. Colin L. Moodie of the School of Industrial Engineering. Their participation was most welcome and they constituted a most sympathetic audience for the early drafts of this material. I must also acknowledge a strong debt to my fellow officers in the Civil Engineer Corps, United States Navy, for altogether demonstrating a standard of professional excellence not exceeded elsewhere in my experience. With a sincere concern for the inequity of singling out one such officer, I must nonetheless note that Rear Admiral Spencer R, Smith afforded me the opportunity to observe this excellence at first hand, and never failed to encourage me to emulate it.
    [Show full text]