High speed train (HST) has received plenty of attention due to the characteristics of safety, quickness, convenience and better service in China over recent years. With consideration of rapid development of HST and intense competition between HST and other transport modes, it is essential to estimate the travel demand for HST. In this research, a disaggregate logit model is applied to estimate the travel demand for high-speed train based on stated preference data. Considering the independence of irrelevant alternatives attribute, a nested structure is chosen to these alternatives. Besides, both the service attributes of transport mode and passengers' attributes are taken into account when establishes model. The results obtained confirm that HST occupies a significant position in modes conpetition and have an important impact on air in middle and long distance market.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Study on Travel Demand for High-Speed Train Based on Nested Logit Model



    Erschienen in:

    Applied Mechanics and Materials ; 361-363 ; 2096-2099


    Erscheinungsdatum :

    08.08.2013


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Integrated Equilibrium Travel Demand Model with Nested Logit Structure

    Zhang, Ti / Xie, Chi / Waller, S. Travis | Transportation Research Record | 2011


    Study of Travel Mode Choice Behavior Based on Nested Logit Model

    Shang, B. / Zhang, X.N. | British Library Conference Proceedings | 2013


    Study of Travel Mode Choice Behavior Based on Nested Logit Model

    Shang, Bin ;Zhang, Xiao Ning | Trans Tech Publications | 2012



    A Demand Estimator Based on a Nested Logit Model

    Li, Tao | British Library Online Contents | 2017