An interactive stated adaptation survey of activity scheduling decisions

Abstract

The paper reports on current research in a project exploring new approaches for analyzing travel demand induced by changes in generalized costs of travel and activity participation.A sample of respondents were administered a five-day travel diary, from which one day was selected for further analysis.The conditions of that day were changed using predefined heuristics based on the household characteristics, to attain significant changes in the generalized costs of the reported trips.The households were then faced with these hypothetical scenarios in face-to-face interviews.All household members are asked to state how the implied changes would have affected their activity scheduling on the specified day, that is to adapt their reported schedule to the new conditions.The data will allow the computation of discrete choice models of activity scheduling.The results are expected to reflect the effects of the changes in generalized costs on activity generation.The results will be applied in MATSim, an agent-based micro-simulation.The application will allow the validation of the model results and the evaluation of aggregated effects of measures changing generalized costs, as well as their repercussions on the transport system and the resulting feedback effects, thus allowing the assessment of total induced demand and a comparison to the results from earlier aggregate models.The paper focuses on the description of the survey approach, which to our best knowledge is novel in its application, and reports preliminary analyses of the respondents' reactions to the changes implied in the household interviews.

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