BINARY STATION CHOICE MODELS FOR A RAIL RAPID TRANSIT LINE
Using two independent data sets, alternative binary station choice models were successfully calibrated and tested. The regression and probit models are based on a two stage decision process: first the commuter selects his mode of travel, and then, given the use of rapid transit, he chooses a station. The station choice models focus on the second stage of the decision process. The models estimate the relative frequency a station will be selected by commuters from a census block group, given a modal choice of rapid transit. This proportion is a function of the trip cost difference between that station and the next least cost station. /TRRL/
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Corporate Authors:
Pergamon Press, Incorporated
Maxwell House, Fairview Park
Elmsford, NY United States 10523Pergamon Press, Incorporated
Headington Hill Hall
Oxford OX30BW, -
Authors:
- DESFOR, G
- Publication Date: 1975-2
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 31-41
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Serial:
- Transportation Research /UK/
- Volume: 9
- Issue Number: 1
- Publisher: Pergamon Press, Incorporated
Subject/Index Terms
- TRT Terms: Commuters; Costs; Decision making; Decision theory; Mathematical models; Mode choice; Rail transit stations; Railroad stations; Rapid transit; Residential areas; Transportation planning; Travel budgets; Travel costs; Urban transportation; Work trips
- Uncontrolled Terms: Selecting; Selection
- Old TRIS Terms: Modal selection
- ITRD Terms: 224: Cost; 2248: Decision process; 621: Journey to work; 6473: Mathematical model; 1181: Rapid transit system; 9072: Selection
- Subject Areas: Finance; Highways; Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Public Transportation; Railroads; Terminals and Facilities; I71: Traffic Theory; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00125197
- Record Type: Publication
- Source Agency: Transport and Road Research Laboratory (TRRL)
- Files: ITRD, TRIS
- Created Date: Nov 18 1982 12:00AM