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dc.contributor.authorMarchal, Fabrice-
dc.contributor.authorNagel, Kai-
dc.description.abstractActivity-based models in Transportation Science focus on the description of human trips and activities. We address the modeling of the spatial decision for so-called secondary activities: given both home and work locations, where do individuals perform activities such as shopping and leisure? The simulation of these decisions using random utility models requires a full enumeration of the possible outcomes. For large data sets, it becomes computationally unfeasible because of the combinatorial complexity. To overcome this limitation, we propose a model where agents have limited, accurate information about a small subset of the overall spatial environment. Agents are inter-connected by a social network through which they can exchange information. This approach has several advantages compared to the explicit simulation of a standard random utility model: a) it computes plausible choice sets in reasonable computing times b) it can be easily extended to integrate further empirical evidence about travel behavior and c) it provides a useful framework to study the propagation of any newly available information. The paper emphasizes the computational efficiency of the approach for real-world examples.en
dc.subject.ddc380 Handel, Kommunikation, Verkehrde
dc.subject.othertravel behavioren
dc.subject.othersocial connectionen
dc.subject.otherlocation choiceen
dc.subject.othercooperative agenten
dc.subject.othersecondary activityen
dc.titleComputation of Location Choice of Secondary Activities in Transportation Todels with Cooperative Agentsen
dc.typeConference Objecten
tub.publisher.universityorinstitutionTechnische Universität Berlinde
dcterms.bibliographicCitation.editorKlügl, Franziska-
dcterms.bibliographicCitation.editorBazzan, Anna-
dcterms.bibliographicCitation.editorOssowski, Sascha-
dcterms.bibliographicCitation.proceedingstitleApplications of Agent Technology in Traffic and Transportationen
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