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Guidebook on Methods to Estimate Non-Motorized Travel: Supporting Documentation
  • Published Date:
    1999-07-01
  • Language:
    English
Filetype[PDF-2.35 MB]


Details:
  • Publication/ Report Number:
  • Resource Type:
  • TRIS Online Accession Number:
    00769427
  • NTL Classification:
    NTL-PUBLIC TRANSPORTATION-Transit Planning and Policy ; NTL-PUBLIC TRANSPORTATION-Social Impacts ; NTL-PEDESTRIAN AND BICYCLES-PEDESTRIAN AND BICYCLES ; NTL-PEDESTRIAN AND BICYCLES-Bicycles ; NTL-PEDESTRIAN AND BICYCLES-Pedestrians ; NTL-PLANNING AND POLICY-Surveys ; NTL-PLANNING AND POLICY-Travel Demand ; NTL-PLANNING AND POLICY-Land Use ; NTL-REFERENCES AND DIRECTORIES-REFERENCES AND DIRECTORIES ;
  • Abstract:
    This is the second volume of two comprising the guidebook. The 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. Volume 1, 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. This volume, 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.

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