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        Evolutionary Game Model of Private Capital Investment in Urban Public Transportation

        Yunqiang Xue,Hongzhi Guan,Jonathan Corey,Heng Wei 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.9

        To address the previous researches’ shortcomings on private capital investment in public transportation, a new private capital investment method in public transportation considering passenger value is proposed. An Evolutionary Game Model (EGM) is constructed to quantify the impacts of private capital investment. Evolutionary Game Theory (EGT) supposes players are bounded rational; therefore EGM is more in accordance with the real situation. Jinan city is detailed as a case study to show how public and private sectors change their strategies. Model results show that the proposed investment strategy is superior to the traditional one and is evolutionary stable, thus the strategy should be encouraged. The EGM established in this paper provides a quantitative analysis tool for administrators and researchers to guide investment strategies of private capital in public transportation and lays the foundation for further research.

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        Cooperative Optimization of Bus-Subway-Shared Bicycle Based on Uncertainty Theory

        Yunqiang Xue,Tong He,Xiangming Yao,Bing Zhang,Hongzhi Guan,Yang Qiu 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.4

        This research considered the uncertainty of the operation time of shared bicycle, constructed the urban coupling network, and established the optimization model for the cooperative operation of conventional buses, subways and shared bikes. In the programming model, the optimization objective is to minimize the total travel time of passengers, and by optimizing and adjusting the departure intervals of conventional buses and subways as well as the stopping time of vehicles, the travel efficiency of passengers is improved. The interchange cooperative system composed of Nanchang Metro Line 1 and Bus 520 and the surrounding shared bicycle concentration area was taken as the case study. According to the optimization results, the passenger waiting time, passenger transfer time, and total passenger on-board time are effectively reduced by 21.5%, 23.2%, and 7.37%; ultimately, the total travel time is reduced by 8.2% at a confidence level of 95%. Case analyses show that the conventional bus stopping time has the greatest impact on the total travel time of the passengers as compared to the other variables. The research is of positive practical significance for promoting the efficient and coordinated development of urban transportation networks and facilitating the travel of residents.

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