| Generating Dynamic Activity-Travel Schedules (2008) | |||||||||||||||
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| Abstract � While making decisions, governments and policy makers are supported by models in order to estimate the impact of their decisions on society as a whole. Transportation models compromise a major example of such decision supporting models. After all, transportation models are applied to monitor travel behaviour, to evaluate policy decisions, to assess the environmental impact of traffic, etc. To this end, transportation models previously consisted of aggregate, trip-based models to estimate travel demand. During the past decade, activity based-transportation models entered the area of transportation modelling. Such models assume that travel patterns are the result of activity schedules that individuals execute in their attempt to achieve certain goals. Therefore, activity-based models aim at simulating the individual decision-making behaviour concerning several activity-travel related dimensions simultaneously. For instance one decision compromises the following facets: which activity to perform at which location, when to start this activity and for how long, which transport mode along which route to use in order to get to the desired location, who will accompany the individual during the | |||||||||||||||
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