FORECASTING DEMAND FOR BICYCLE FACILITIES

This guide examines methods by which demand for cycling under different conditions can be estimated, and provides a framework for analysing data to develop demand forecasts for bicycle use. The guide is based on an international review of literature with an Australian focus on the purposes, advantages, limitations and methods of demand forecasting. The call for research in this area stemmed from the need for further policy development, evaluation and implementation of the Australian Bicycle Council's 'National Strategy 1999-2004'. All major forecasting methods are reviewed in the guide and grouped into eight categories including comparison studies, aggregate behaviour studies, maximal share studies, sketch plan method, regional travel models, discrete choice models, advanced behavioural modelling techniques and GIS based methods. In forecasting demand for bicycle facilities, the guide can assist practitioners in selecting the most appropriate forecasting method(s) based on the level and intensity of data requirements/collection, the size and scope of the proposed facility, and the level of technical skill required. (a)

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  • Corporate Authors:

    AUSTROADS

    24-28 Campbell Street, P.O. Box K659, Roden Cutler House
    Haymarket, New South Wales  Australia  2000
  • Authors:
    • KATZ, R
  • Publication Date: 2001

Language

  • English

Media Info

  • Features: References;
  • Pagination: 30 p.
  • Serial:
    • Issue Number: AP-R194/01

Subject/Index Terms

Filing Info

  • Accession Number: 00926929
  • Record Type: Publication
  • Source Agency: ARRB
  • ISBN: 0-85588-601-3
  • Files: ITRD, ATRI
  • Created Date: Jul 8 2002 12:00AM