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作者

Hua Hu;Yunfeng Gao;Zhigang Liu

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.146,Issue4

语言

英文

关键字

作者单位

Associate Professor, College of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Longteng Rd., Shanghai 201620, P. R. China. Email: [email protected];Associate Professor, College of Transport and Communications, Shanghai Maritime Univ., 1550 Haigang Avenue, Shanghai 201306, P. R. China (corresponding author). ORCID: https://orcid.org/0000-0002-5811-4209. Email: [email protected];Professor, College of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Longteng Rd., Shanghai 201620, P. R. China. Email: [email protected]

摘要

Bus bridging evacuation refers to transporting affected passengers to their destination stations during metro disruption by buses dispatched from depots. Planning bus bridging plays an important role in maintaining the level of service of metro rail and serving affected passenger demands. This paper presents an integrated planning and operational model for bus bridging evacuation, in which the varying bridging passenger demand at disrupted metro stations, the arrival and departure of bus fleets, the dwelling time of a bus fleet, and the number of alighting and boarding passengers at disrupted metro stations are captured in detail. Based on the dynamics of a bus bridging system, bus bridging routes are planned to stop at intermediate disrupted metro stations between their dispatched disrupted metro station and turnover stations. Results of a case study with Shanghai metro line 16 demonstrate the advantage of the proposed planning model in real-world application. The proposed model and its simulation-based solving algorithm yield economical bridging plans with fewer dispatched buses and lower operation cost compared with our previous model. Results of the case study show that total operation cost and computation time are contradictory with each other. The combination of larger population size, larger maximum number of generations, and larger crossover rate probably contributes to finding the globally optimal bus dispatch plan.