Adaptation of Private Car Use in Response to Travel Demand Management Measures: Potential Roles of Intelligent Transportation Systems

Abstract

Travel demand management (TDM) measures targeting changed or reduced private car use in urban areas prompt individuals and households to choose more efficient car use (chaining trips, car pooling, choosing closer destinations), to suppress trips and activities, or to switch travel mode. We conjecture that these choices are made sequentially over time according to a cost-minimization principle. In general, less costly changes may however be less effective. Several potential ways are proposed in which intelligent transportation systems may reduce the costs of changes or reduction in car use, thus presumably rendering TDM measures more effective.

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