考虑客运路线选择和基尼系数的铁路交通管理不公平优化

IF 2.6 Q3 TRANSPORTATION
Xiaojie Luan , Xiao Sun , Francesco Corman , Lingyun Meng
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引用次数: 0

摘要

交通管理对于提高列车运营的正点性和可靠性至关重要,使列车运营公司能够保持竞争力,并进一步提高份额和利润。列车改期问题的一个共同目标是最大限度地减少列车延误,而这并不能从乘客的角度来检验结果。此外,只关注正点率表现忽略了延误在实体(即列车、乘客和列车运营公司)之间的分布。我们研究了列车改期问题,其中包括乘客选择和公平问题。针对要求的公平水平,提出了一种混合整数线性规划(MILP)模型,以同时为乘客找到最佳列车时刻表和最佳路线。乘客选择一系列列车服务,以最少的成本(即延误)完成行程。为了评估系统的公平性能,我们通过基尼系数和最大偏差来定义公平,包括在MILP模型中作为约束。通过实验来探索目标变化的影响,即从减少列车延误到减少乘客延误,并比较使用两种公平措施在准时性和公平性方面的系统性能。结果表明,与最小化列车延误相比,最小化乘客延误时的平均乘客延误减少了34%。此外,与最大偏差相比,基尼系数产生的权益成本更低(即延迟增加更少)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inequity averse optimization of railway traffic management considering passenger route choice and Gini Coefficient

Traffic management is crucial for improving the punctuality and reliability of train operations, enabling train operating companies (TOCs) to maintain their competitiveness and further increases the share and profits. A common goal of the train rescheduling problem is to minimize train delays, which fails to examine the results from the perspective of passengers. Moreover, focusing only on the punctuality performance overlooks how the delay is distributed among entities (i.e., trains, passengers, and train operating companies).

We study the train rescheduling problem with the inclusion of passenger choices and the equity concerns. A mixed-integer linear programming (MILP) model is proposed to find the optimal train schedules and the best route for passengers at the same time, with respect to the demanded equity level. Passengers choose a sequence of train services to complete their trip with the least amount of costs (i.e., delays). To evaluate the equity performance of the system, we define equity by means of Gini Coefficient and Maximal Deviation, included in the MILP model as constraints.

Experiments are conducted to explore the impacts of the objective change, i.e., from reducing train delays to reducing passenger delays, and to compare the system performance of using the two equity measures in terms of punctuality and equity. According to the results, the average passenger delay decreases by 34% when minimizing passenger delays, compared with that of minimizing train delays. Moreover, the Gini Coefficient yields less cost of equity (i.e., less increase of delays), compared to that of the Maximal Deviation.

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CiteScore
7.10
自引率
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