The activity-based multiagent simulation toolkit MATSim adopts a coevolutionary approach to capturing the patterns of people's activity scheduling and participation behavior at a high level of detail. Until now, the search space of the MATSim system was formed by every agent's route and time choice. This paper focuses on the crucial computational issues that have to be addressed when the system is being extended to include location choice. This results in an enormous search space that would be impossible to explore exhaustively within a reasonable time. With the use of a large-scale scenario, it is shown that the system rapidly converges toward a system's fixed point if the agents’ choices are per iteration confined to local steps. This approach was inspired by local search methods in numerical optimization. The study shows that the approach can be incorporated easily and consistently into MATSim by using Hägerstrand's time–geographic approach. This paper additionally presents a first approach to improving the behavioral realism of the MATSim location choice module. A singly constrained model is created; it introduces competition for slots on the activity infrastructure, where the actual load is coupled with time-dependent capacity restraints for every activity location and is incorporated explicitly into the agent's location choice process. As expected, this constrained model reduces the number of implausibly overcrowded activity locations. To the authors’ knowledge, incorporating competition in the activity infrastructure has received only marginal attention in multiagent simulations to date, and thus, this contribution is also meant to raise the issue by presenting this new model.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Location Choice Modeling for Shopping and Leisure Activities with MATSim


    Untertitel :

    Combining Microsimulation and Time Geography


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Horni, Andreas (Autor:in) / Scott, Darren M. (Autor:in) / Balmer, Michael (Autor:in) / Axhausen, Kay W. (Autor:in)


    Erscheinungsdatum :

    01.01.2009




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Choice Models in MATSim

    Flötteröd, Gunnar / Kickhöfer, Benjamin | DataCite | 2016

    Freier Zugriff

    MATSim JOSMNetwork Editor

    Neumann, Andreas / Zilske, Michael | DataCite | 2016

    Freier Zugriff

    MATSim Data Containers

    Rieser, Marcel / Nagel, Kai / Horni, Andreas | DataCite | 2016

    Freier Zugriff

    Introducing MATSim

    Horni, Andreas / Nagel, Kai / Axhausen, Kay W. | DataCite | 2016

    Freier Zugriff