Forecasting the demand for an employee Park and Ride service using commuters’ stated choices
AbstractThis paper uses Stated Choice (SC) data to forecast the demand for an employee Park and Ride service. Since it is well known that SC data contain sources of variation not present in Revealed Preference (RP) data we pay special attention to the scaling of the SC model. The results show that the modal shift away from parking-on site will be small unless the new service is accompanied by measures aimed at making parking on-site less attractive such as introducing parking charges.
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Bibliographic InfoPaper provided by EconWPA in its series Urban/Regional with number 0312002.
Length: 29 pages
Date of creation: 04 Dec 2003
Date of revision: 12 Apr 2004
Note: Type of Document - ; prepared on WinXP; to print on LaserJet IIIp; pages: 29
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Travel plan; Stated choice; Forecasting; Scale factor;
Other versions of this item:
- Risa Hole, Arne, 2004. "Forecasting the demand for an employee Park and Ride service using commuters' stated choices," Transport Policy, Elsevier, vol. 11(4), pages 355-362, October.
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion
This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-12-07 (All new papers)
- NEP-DCM-2003-12-07 (Discrete Choice Models)
- NEP-GEO-2003-12-07 (Economic Geography)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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