This paper based on matching degree of the vehicle-cargo matching platform with profit and risk, examines the impact of different factors on the revenue and risk cost of the vehicle-cargo matching platform through a multi-objective optimal model to maximize the matching degree and benefit, minimizing the risk cost, through the improved the NSGA- II algorithm to solve bilevel multi-objective optimization problem, and through the sensitivity analysis to obtain the results. The results show that: 1) the relationship between the total revenue and the total risk cost of the platform increases linearly; 2) the preference of vehicle-source and cargo-source also affects the matching of supply demand of both sides; 3) the total revenue and total cost of the platform increase with the increase of consultation fee, but the increase rate gradually decreases; 4) ignoring the impact of blockchain, vehicle-source enterprises need to pay more guarantee costs, and the platform's income and risk are better than the condition with the impact of blockchain.


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    Titel :

    Research on Benefit-Risk of Vehicle-Cargo Matching Platform Based on Matching Degree


    Beteiligte:
    Sun, Yongdong (Autor:in) / Zhang, Jin (Autor:in) / Tang, Qiuyu (Autor:in) / Yan, Yan (Autor:in)


    Erscheinungsdatum :

    01.09.2020


    Format / Umfang :

    424563 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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