Agent Activity-Rescheduling Decisions under Unexpected Events

publication year:2007
full reference:Nijland, E.W.L., Arentze, T.A., Borgers, A.W.J. and Timmermans, H.J.P. 2007. "Agent Activity-Rescheduling Decisions under Unexpected Events." In Neves, J.M., Santos, M.F. and Machado, J.M.(eds.): Proceedings of the 13th Portuguese Conference on Artificial Intelligence : Progress in Artificial Intelligence (EPIA 2007) 3-7 December 2007, Guimarães, Portugal. Braga, Portugal: Universidade do Minho. 167-178.
In the context of activity-based transport simulation models, rescheduling of daily activities and associated travel in response to unforeseen events such as traffic congestion is receiving increasing attention. This paper describes the results of a stated adaptation experiment on how individuals adapt their schedules when faced with delay. In the web-based experiment, respondents indicated their response to a number of hypothetical situations in which the available time for a planned activity was reduced. Mixed logit models were estimated for every considered activity, taking into account the amount of delay, attributes of the activity and socio-economic variables.
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