The rapid growth of passenger cars in Changchun has led to traffic problems. Various transit priority policies have been tried in the city, but none have worked well. Thus, the aim of this research is to provide a quantitative method for making more effective urban transit priority policies, by analyzing the relationship between the behavior of resident trip mode choice and three factors of transit priority policies. An order parameter equation of resident trip mode structure is established based on self-organizing theory. After calculating the value of resident travel time, linear programming is used to find the trip mode rates that maximize travel benefits. In this condition, the value of control variables, namely the solution of the order parameter equation, can be the basis of urban transit priority policy-making.


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    Title :

    Self-Organizing Relation between Resident Trip Mode Choice and Transit Priority Policy—Case Study in Changchun, China


    Contributors:
    Zhao, Bei (author) / Zhao, Shuzhi (author) / Wang, Yunpeng (author)

    Conference:

    The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China


    Published in:

    Publication date :

    2012-07-23




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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