Guidebook on Methods to Estimate Non-Motorized Travel: Supporting Documentation

Federal Highway Administration1999PDFTech ReportSchwartz, W. L.Porter, C. D.Payne, G. C.Suhrbier, J.H.Moe, P. C.Wilkinson, William C., IIICambridge Systematics, Inc.Bicycle Federation of AmericaUnited States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research CenterU.S. Department of Transportation. Federal Highway Administration, Research, Development, and Technology. Turner-Fairbank Highway Research CenterUnited StatesBicyclingForecastingGeographic information systemsNonmotorized transportationSketch planningTransportation planningTravel behaviorTravel demandWalkingHighwaysPedestriansFHWA-RD-98-166DTFH61-92-C-00138The original format of this document was an active HTML page(s). The Federal Highway Administration converted the HTML page(s) into an Adobe Acrobat PDF file to preserve and support reuse of the information it contained. The intellectual content of this PDF is an authentic capture of the original HTML file. Hyperlinks and other functions of the HTML webpage may have been lost, and this version of the content may not fully work with screen reading software. Preservation Date: 2020-07-20.This guidebook provides a means for practitioner to better understand and estimate bicycle and pedestrian travel and to address transportation planning needs. The guidebook describes and compares the various methods that can be used to forecast non-motorized travel demand or that otherwise support the prioritization and analyses of non-motorized projects. These methods are categorized according to four major purposes: (1) demand estimation; (2) relative demand potential; (3) supply quality analysis; and (4) supporting tools and techniques. Discrete choice models, regional travel models, sketch plan methods, facility demand potential, bicycle compatibility measures, and geographic information systems are among the methods and tools described. Overview of Methods provides a concise overview for each available method, including some typical applications, pros and cons, and a quick reference guide on ease of use, data requirements, sensitivity to design factors, and whether widely used. In addition, it discusses general issues for consideration in forecasting non-motorized travel demand, such as the dimension of travel behavior and factors influencing bicycling and walking and identifies future needs in this area. Supporting Documentation provides substantially more detail on the methods including purpose, structure, input/data needs, assumptions, and real-world applications. It also contains an extensive annotated bibliography of references on demand forecasting methods, supporting tools and techniques, and factors influencing the choice to walk or bicycle, as well as potential contacts in this field.119