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 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 InfoArticle provided by Elsevier in its journal Transport Policy.
Volume (Year): 11 (2004)
Issue (Month): 4 (October)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description
Other versions of this item:
- Arne Risa Hole, 2003. "Forecasting the demand for an employee Park and Ride service using commuters’ stated choices," Urban/Regional 0312002, EconWPA, revised 12 Apr 2004.
- 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
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