Abstract
Abstract Decisions regarding destination choice for subsistence activities, such as employment and education, are typically taken on a medium or long-term basis. In activity-based modeling for transport research those are traditionally modeled after the allocation of daily activity plans to the individuals, with a few exceptions. This paper presents a comparison of two proceedings, namely the modeling of the destination choice for subsistence activities in advance and its traditional late modeling. Firstly, different destination choice models for employment and education were developed for the agent-based demand model TAPAS. In order to perform the comparison two scenarios were simulated: a base scenario and a scenario with a fee-based parking zone in the city center of Berlin. The results show the validity of both proceedings and their different application.
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