Highlights New concept concerning the queuing transit passengers’ boarding behavior. Two mixed-integer models for the optimal functions. An innovative least square method for calibration. A weighted least square method to deal with data biasness.

    Abstract This paper addresses an innovative concept, termed as queuing passengers’ willingness to board (WTB) the transit vehicles. In the peak hours, some queuing passengers cannot board a crowded bus/train, but when the same vehicle arrives at the next stop, some other passengers could still get on. This phenomenon reflects that passengers at different queuing locations have heterogeneous level of ambitions to board. A methodological framework is proposed for the quantitative investigation of WTB. First, a general model is proposed, together with a new least square method (LSM) for the calibration. Then, a parametric model is developed, which is also calibrated by the LSM. To refine the calibration method and deal with the biasness of survey data, a weighted least square method is further developed. Based on real survey data, the calibration results clearly support the existence of WTB, which can be used to estimate the capacity of transit vehicles. This paper also sheds some lights on the practical applications of the quantitative WTB.


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    Titel :

    Willingness to board: A novel concept for modeling queuing up passengers


    Beteiligte:
    Liu, Zhiyuan (Autor:in) / Wang, Shuaian (Autor:in) / Chen, Weijie (Autor:in) / Zheng, Yuan (Autor:in)


    Erscheinungsdatum :

    2016-02-25


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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