Demand Forecasting for Rural Transit: Models Applied to Washington State
Rural transit demand forecasting is a tool that aids planners and analysts in the allocation of scarce resources for typically underserved populations. As the number of privately owned automobiles has increased over the past several decades, the provision of public transportation has decreased and lessened the ability of nondrivers to participate in the workforce, take advantage of social service programs, and receive adequate medical care. With Washington State as the case study, three models were developed on the basis of usage characteristics for several existing transportation systems in four Washington counties. Peer analysis was used to create three models with varying levels of complexity and data requirements to predict ridership on countywide public transportation systems. Results indicate that the disaggregated transit demand (DTD) model estimation techniques are the most refined and flexible. The DTD model provides a significant starting point for developing accurate equations for predicting transit need and demand for underserved areas in Washington State.
- Record URL:
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- Summary URL:
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/159314.aspx
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Authors:
- Painter, Kathleen
- Jessup, Eric L
- Gossard, Marcia Hill
- Casavant, Kenneth L
- Publication Date: 2007
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 35-40
- Monograph Title: Innovative Planning Approaches 2007
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Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 1997
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Case studies; Forecasting; Mathematical models; Ridership; Rural transit; Travel demand
- Geographic Terms: Washington (State)
- Subject Areas: Highways; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01055831
- Record Type: Publication
- ISBN: 9780309104234
- Files: TRIS, TRB, ATRI
- Created Date: Feb 8 2007 5:36PM