The three-party game model of road traffic subject, traffic law enforcement subject, and public is built based on evolutionary game theory. According to the dynamic equations established by each game subject, the evolutionary equilibrium of their behavior strategies is compared and analyzed. The results indicate that: for the road traffic subjects, enhancing the penalties for violations and increasing the probability of strict supervision by law enforcement subjects will impel road traffic subjects to be more inclined to abide by the traffic rules; for law enforcement subjects, reducing the regulatory costs will help law enforcement subjects to select strict regulatory strategies; and for the public, reducing supervision and complaint costs and raising the incentives for public supervision and complaints will motivate the public to actively participate in supervision and achieve effective supervision and governance for the individuals violating the rules.


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    Titel :

    Evolutionary Game Analysis on Supervision and Governance for Road Traffic Violations Considering Public Participation


    Beteiligte:
    Lan, Lan (Autor:in) / Lu, Feng (Autor:in)

    Kongress:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Erschienen in:

    CICTP 2019 ; 5480-5491


    Erscheinungsdatum :

    2019-07-02




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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