Un exemple d'estimation de la demande de transport urbain

Stéphanie Souche-Le Corvec

Post-Print from HAL

Abstract: An example in urban transport demand estimation. - In order to better understand tomorrow's cities, we need to work on urban transport demand estimation. In this paper, we aim at defining an urban mobility demand model built on the main structural variables currently identified in the literature. By applying it to three Chinese cities, we obtain different evolution scenarios that underline the dominance of the two following variables: average user cost for a trip (in individual cars or public transport) and urban density. Surprisingly enough, the demand estimation functions appear to be independant from the country group variable, though this may be explained by the limited data available. Nevertheless, this application to the Chinese environnement gives us a first empirical result to work on.

Keywords: China; urban mobility; demand estimation; long term; urban density; Chine; mobilité urbaine; estimation de la demande; long terme; densité urbaine (search for similar items in EconPapers)
Date: 2009
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00579638
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in Revue d'économie régionale et urbaine, 2009, 4, pp. 759-779. ⟨10.3917/reru.094.0759⟩

Downloads: (external link)
https://shs.hal.science/halshs-00579638/document (application/pdf)

Related works:
Journal Article: Un exemple d'estimation de la demande de transport urbain (2009)
Journal Article: Un exemple d’estimation de la demande de transport urbain* (2009)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00579638

DOI: 10.3917/reru.094.0759

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().