中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (8): 84-92.doi: 10.16265/j.cnki.issn1003-3033.2023.08.0819

• 安全工程技术 • 上一篇    下一篇

考虑列车折返的城市轨道交通网络脆弱性评估

何明卫1(), 钱佳1, 刘杰1,**(), 殷勇2, 占曙光3   

  1. 1 昆明理工大学 交通工程学院,云南 昆明 650500
    2 西南交通大学 交通运输与物流学院, 四川 成都 611756
    3 合肥工业大学 汽车与交通工程学院,安徽 合肥 230000
  • 收稿日期:2023-03-19 修回日期:2023-06-15 出版日期:2023-10-08
  • 通讯作者:
    **刘 杰(1993—),男,四川凉山人,博士,讲师,主要从事交通网络系统分析、交通管理优化方面的研究。E-mail:
  • 作者简介:

    何明卫 (1981—),男,四川南江人,博士,副教授,主要从事城市交通规划、出行行为决策、交通地理等方面的研究。E-mail:

    刘杰 讲师

    殷勇 副教授

    占曙光 教授

  • 基金资助:
    国家自然科学基金资助(71861017); 昆明理工大学学科交叉研究专项项目(KUST-xk2022002); 云南省基础研究计划项目(202301AU070052)

Vulnerability assessment of an urban rail transit network considering turn-back operation of trains

HE Mingwei1(), QIAN Jia1, LIU Jie1,**(), YIN Yong2, ZHAN Shuguang3   

  1. 1 Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming Yunnan 650500, China
    2 School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 611756, China
    3 School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei Anhui 230000, China
  • Received:2023-03-19 Revised:2023-06-15 Published:2023-10-08

摘要:

为有效缓解城市轨道交通网络(URTN,简称城轨网络)运营中断问题,考虑列车折返评估城轨网络的脆弱性。首先,识别相邻两折返站间的折返区间集合,并明确集合中的任意区间中断均会导致集合中的其他区间不可用;其次,构建4个指标以评估网络的结构脆弱性和服务脆弱性;然后,运用基于组合权重的改进理想点法(TOPSIS),识别影响脆弱性的关键折返区间集合;最后,以武汉地铁网络为例进行实证分析。结果表明:折返区间集合中断对网络结构性能的影响大于对网络服务性能的影响;关键折返区间集合在网络连通性中发挥重要作用,应避免其中断导致网络性能恶化;考虑列车折返以反映中断下的网络运营特征,能更合理准确地评估城轨网络的脆弱性。

关键词: 列车折返, 城市轨道交通网络(URTN), 脆弱性评估, 逼近理想解法(TOPSIS), 折返区间集合

Abstract:

In order to effectively alleviate the operation interruption of URTN, the vulnerability of a URTN was evaluated by considering trains' turn-back operation. Firstly, the sets of turn-back intervals between any two adjacent turn-back stations in a URTN were identified, and it was specified that any interval interruption in a set makes other intervals in the set to be unusable. Secondly, four vulnerability metrics were constructed to evaluate the structural vulnerability and service vulnerability of a URTN. Then, the improved TOPSIS based on combined weights was used to identify the critical turn-back interval sets that affect the network vulnerability. Finally, taking Wuhan subway network as an example for empirical analysis. The results show that the interruption of a turn-back interval set has a higher negative impact on the URTN's structure performance than service performance. The critical turn-back interval sets play an important role in network connectivity, and their interruption should be avoided to deteriorate the network performance. Considering trains' turn-back operation to reflect the network operation characteristics under interruption, the vulnerability of URTN can be evaluated more reasonably and accurately.

Key words: trains' turn-back, urban rail transit network(URTN), vulnerability assessment, technique for order preference by similarity to an ideal solution(TOPSIS), turn-back interval set