 Predicting multi-faceted activity-travel adjustment strategies in response to possible congestion pricing scenarios using an Internet-based stated adaptation experimentTheo Arentze, Frank Hofman and Harry Timmermans Transport Policy, 2004, vol. 11, issue 1, 31-41 Abstract: This paper reports the estimation of several discrete choice models describing reactions of individuals to congestion pricing scenarios. The models were estimated on data obtained in a stated adaptation experiment that was administered through the Internet and designed to examine how individuals adjust their activity-travel patterns. An activity-based approach is used meaning that all choice facets of activity patterns are taken into account as well as a complete set of activities. Estimates of price elasticities of travel demand are in line with other findings reported in the literature. Results of the stated adaptation experiment suggest that changing route or departure time is the most important way of adapting work trips, whereas public transport and working at home play a more limited role. For non-work activities changing route and switching to bike are the dominant responses. Date: 2004 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:trapol:v:11:y:2004:i:1:p:31-41 Ordering information: This journal article can be ordered from Access Statistics for this article Transport Policy is currently edited by Y. Hayashi More articles in Transport Policy from Elsevier |
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