Baozhen Yao
Dalian University of Technology
Qingda Cao
Dalian University of Technology
Lu Jin
Dalian University of Technology
Mingheng Zhang
Dalian University of Technology
Yibing Zhao
Dalian University of Technology
The building density of Central Business District (CBD) is usually high. Land for a bus terminal is insufficient. In this situation, passengers in CBD have to walk far to take a bus, or take a long time to wait for a taxi. To solve this problem, this paper proposes an indirect approach: the design of a circle line of shuttle bus as a dynamic bus terminal in CBD. The shuttle bus can deliver people to the bus station through a circle line. This approach not only reduces the traffic pressure in CBD, but also saves travel time of the passenger. A bi-objective model is proposed to design a circle line of a shuttle bus for CBD. The problem is solved by non-dominated sorting genetic algorithm (NSGA-II). Furthermore, the Dalian city in China has been chosen as the case study to test the proposed method. The results indicate that the method is effective for circle line optimization of shuttle bus in central business district without a bus terminal.
Warade RK. The accessibility and development impacts of new transit infrastructure: the circle line in Chicago. Massachusetts Institute of Technology; 2007.
Zhibin J, Jia G, Ruihua X. Circle rail transit line timetable scheduling using Rail TPM. WIT Transactions on The Built Environment. 2010;114:945-952.
Chen B Y, Yuan H, Li Q, et al. Spatiotemporal data model for network time geographic analysis in the era of big data. International Journal of Geographical Information Science. 2016;30(6):1041-1071.
Wirasinghe SC. Nearly optimal parameters for a rail/feeder-bus system on a rectangular grid. Transportation Research Part A: General. 1980;14(1):33-40.
Bookbinder JH, Desilets A. Transfer optimization in a transit network. Transportation science. 1992;26(2):106-118.
Martins CL, Pato MV. Search strategies for the feeder bus network design problem. European Journal of Operational Research. 1998;106(2):425-440.
Quadrifoglio L, Li X. A methodology to derive the critical demand d
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