Abstract The shift of travel demand policies from the conventional supply oriented policies to management oriented policies has made the effectiveness of conventional models questionable. However, although the new generation travel demand models have theoretically appealing backgrounds, they have so far failed to fully attract the practitioners to apply them for practical purposes. Lack at proper understanding and wrong perceptions of the new generation models have contributed to the gap between research and practice. This paper suggests a way to incorporate the features of new generation models using ordinary PT (person trip) data, to get an optimum model. Based on this, we propose a model that captures the link among travel decisions of a day as a travel pattern. We also illustrate the practical advantages of the new generation models, comparing with conventional models, in evaluating policies by an empirical study.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A tour-based travel demand model using person trip data and its application to advanced policies


    Beteiligte:
    Omer, Mohamed (Autor:in) / Kim, Hyun (Autor:in) / Sasaki, Kuniaki (Autor:in) / Nishii, Kazuo (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2010-03-01


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Empirical comparison of tour- and trip-based truck travel demand models

    Kim, Hansoo / Park, Dongjoo | Springer Verlag | 2017


    Empirical comparison of tour- and trip-based truck travel demand models

    Kim, Hansoo / Park, Dongjoo | Online Contents | 2017


    Neighborhood services, trip purpose, and tour-based travel

    Krizek, Kevin J. | Online Contents | 2003


    Tour-based travel demand forecasting model for a university campus

    PhD Hamad, Khaled / MSc Obaid, Lubna | Elsevier | 2022


    King County Travel Demand Model Update: Trip Generation

    Chen, H.-C. / Wellander, S. / American Society of Civil Engineers | British Library Conference Proceedings | 1998