Fare optimization for urban rail line

DENG Lianbo, WANG Feng, ZHANG Zhao, WANG Qing, LAI Tianzhen

Systems Engineering - Theory & Practice ›› 2016, Vol. 36 ›› Issue (6) : 1568-1575.

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Systems Engineering - Theory & Practice ›› 2016, Vol. 36 ›› Issue (6) : 1568-1575. DOI: 10.12011/1000-6788(2016)06-1568-08

Fare optimization for urban rail line

  • DENG Lianbo1, WANG Feng1, ZHANG Zhao1, WANG Qing1, LAI Tianzhen2
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Abstract

Fare decision, as an important part of management location decision of urban rail transit, is the key factor of attracting passengers and get a appropriate market share, and determines urban rail transit's operating conditions and competitiveness. Urban rail transit fare strategies include fare structures and fare level. Fare structures are divided into flat fare, distance-based fare and sectional fare. We propose a rail transit line fare strategy model based on operating plan under passengers' elastic demand, and the optimization of fare level under various fare structures comprehensively considered. The model's objective function is to maximize social profits, containing passenger flow demand and benefits of operation enterprises. Simulated annealing algorithm is designed based on the model's features. Taking Changsha Metro Line 2 for example, we get optimal and practical fare strategies of various fare structures. Based on the comprehensive analysis of optimal strategies, the recommended fare schemes of Changsha Metro 2 are given.

Key words

urban rail transit line / fare strategy / fare structure / train operation plan / simulated annealing algorithm

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DENG Lianbo , WANG Feng , ZHANG Zhao , WANG Qing , LAI Tianzhen. Fare optimization for urban rail line. Systems Engineering - Theory & Practice, 2016, 36(6): 1568-1575 https://doi.org/10.12011/1000-6788(2016)06-1568-08

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Funding

National Natural Science Foundation of China (71471179, 71401182); Fok Ying-tung Education Foundation (132017)
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