Forecasting of mode split plays an important role in travel demand forecasting, especially for the external passenger transport in urban transportation planning. This paper first analyzes a number of factors that may have great influences on how passengers would choose a mode. The main factors considered are: personal preferences, personal characteristics, and the features of different transport modes. Then, the effectiveness of passenger transport is described in a formula by considering the key influencing factors such as travel time and trip cost. Last, a forecasting model is developed on the basis of the optimal peer methodology. This model is a type of convex mathematical planning model that could directly reflect the mode choosing characteristics in passenger transport. Detailed procedures with regard to how to solve the problem are also provided. This paper is finished by an illustrative example.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Peer Model For Urban External Passenger Traffic Modal Forecast


    Beteiligte:
    Chen, Dawei (Autor:in) / Li, Xuhong (Autor:in)


    Erscheinungsdatum :

    01.10.2008


    Format / Umfang :

    177073 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Traffic Distribution Forecast of Urban External Traffic Hub Based on Uncertainty

    Zhu, Shunying / Guan, Juxiang / Peng, Wuxiong et al. | ASCE | 2008


    Forecast and Model Establishment of Urban Rail—Transit Passenger Flow

    Zhang, Dandan / Liu, Zhiyuan | Springer Verlag | 2020



    Traffic Forecast Model

    Vaccari, R. / International Federation of Operational Research Societies; Airline Group | British Library Conference Proceedings | 1994