In order to analyse the competition of Chengdu city's urban public transit system to ascertain the share of passenger flow, this paper uses disaggregate model theory and chooses MNL (Multi-nomial Logit) model to estimate the traffic mode split according to Stochastic utility maximization theory. In addition, a questionnaire survey combined with stated preference (SP) and revealed preference (RP) characteristics about the resident trip behavior is presented. Then, this paper utilizes the Maximum likelihood method to estimate the parameters of this travel choice model. Finally, the sensitivities of public concerned factors are analysed such as speed, departure interval and ticket fare of public transit, and the calculation provides a basis for the transportation departmental policy.


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    Title :

    Analysis of Chengdu City's Urban Public Transit System Based on Disaggregate Model Theory


    Contributors:
    Zhao, Daibin (author) / Du, Wen (author) / Liu, Jiemei (author)

    Conference:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2009-07-29




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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