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Forecasting the demand for an employee Park and Ride service using commuters' stated choices

  • Risa Hole, Arne

This 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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File URL: http://www.sciencedirect.com/science/article/B6VGG-4CK7VKG-1/2/2b9020e0c6b8334a95f8bf436f839062
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Article provided by Elsevier in its journal Transport Policy.

Volume (Year): 11 (2004)
Issue (Month): 4 (October)
Pages: 355-362

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Handle: RePEc:eee:trapol:v:11:y:2004:i:4:p:355-362
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  1. Arne R. Hole & Felix R. FitzRoy, 2003. "Commuting in small towns in rural areas: the case of St Andrews," Urban/Regional 0312001, EconWPA, revised 12 Apr 2004.
  2. Shoup, Donald C., 1997. "The High Cost of Free Parking," University of California Transportation Center, Working Papers qt4vz087cc, University of California Transportation Center.
  3. Shoup, Donald C., 1997. "The High Cost of Free Parking," University of California Transportation Center, Working Papers qt25w617n7, University of California Transportation Center.
  4. Johnson, Eric J & Meyer, Robert J, 1984. " Compensatory Choice Models of Noncompensatory Processes: The Effect of Varying Context," Journal of Consumer Research, University of Chicago Press, vol. 11(1), pages 528-41, June.
  5. Kenneth Train, 2003. "Discrete Choice Methods with Simulation," Online economics textbooks, SUNY-Oswego, Department of Economics, number emetr2, March.
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