Measuring the structural determinants of urban travel demand
AbstractTo be best prepared for tomorrow's cities we need to forecast urban travel demand. To this end, this study calibrates an urban travel demand model, which uses the principal structural variables that have been identified in the literature. It uses a robust econometric method, which has been little applied in the sphere of transportation. The results show that two variables stand out from the others: the user cost of transport - by private car and public transport - and urban density. It is surprising, but explicable with the available data, that the demand functions estimated for a given country are independent from the group of countries to which it belongs.
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Bibliographic InfoArticle provided by Elsevier in its journal Transport Policy.
Volume (Year): 17 (2010)
Issue (Month): 3 (May)
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Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description
Other versions of this item:
- Stéphanie Souche, 2010. "Measuring the structural determinants of urban travel demand," Post-Print halshs-00578019, HAL.
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.:
- Antonio García-Ferrer & Marcos Bujosa & Aránzazu de Juan & Pilar Poncela, 2006. "Demand Forecast and Elasticities Estimation of Public Transport," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 40(1), pages 45-67, January.
- Felix Creutzig, 2012. "Avoiding Carbon Lock-In: Policy Options for Advancing Structural Change," Working Papers 1, Department of Climate Change Economics, TU Berlin, revised Feb 2012.
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