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

doi:10.16265/j.cnki.issn1003-3033.2023.08.0819

Abstract

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

HE Mingwei, QIAN Jia, LIU Jie, YIN Yong, ZHAN Shuguang. Vulnerability assessment of an urban rail transit network considering turn-back operation of trains[J]. China Safety Science Journal, 2023, 33(8): 84-92.

Figures/Tables 10

Fig.1

Fig.2

Fig.3

Tab.1

Fig.4

Fig.5

Fig.6

Tab.2

Weights of metrics representing importance of turn-back interval sets

表征指标	$C X i$	$E X i$	$V X i$	$T X i$
$μ j$	0.239 1	0.229 7	0.299 4	0.231 8
$φ j$	0.218 8	0.384 2	0.196 2	0.200 8
$ω j$	0.223 2	0.350 1	0.219 0	0.207 7

Tab.2

Fig.7

Tab.3

References 18

[1]	LIU Jie, SCHONFELD P M, PENG Qiyuan, et al. Measures of travel reliability on an urban rail transit network[J]. Journal of Transportation Engineering, Part A: Systems, 2020, 146(6): 1-14.
[2]	BERDICA K. An introduction to road vulnerability: what has been done, is done and should be done[J]. Transport Policy, 2002, 9(2): 117-127. doi: 10.1016/S0967-070X(02)00011-2
[3]	叶青. 基于复杂网络理论的轨道交通网络脆弱性分析[J]. 中国安全科学学报, 2012, 22(2): 122-126.
	YE Qing. Vulnerability analysis of rail transit based on complex network theory[J]. China Safety Science Journal, 2012, 22(2): 122-126.
[4]	李涛, 荣莉莉. 时空视角下中国高铁网络脆弱性分析[J]. 铁道科学与工程学报, 2022, 19(7): 1801-1809.
	LI Tao, RONG Lili. Vulnerability analysis of high-speed rail network in China from spatial-temporal perspective[J]. Journal of Railway Science and Engineering, 2022, 19(7): 1801-1809.
[5]	李成兵, 魏磊, 李奉孝, 等. 基于攻击策略的城市群复合交通网络脆弱性研究[J]. 公路交通科技, 2017, 34(3): 101-109.
	LI Chengbing, WEI Lei, LI Fengxiao, et al. Study on vulnerability of city agglomeration compound traffic network based on attack strategy[J]. Journal of Highway and Transportation Research and Development, 2017, 34(3): 101-109.
[6]	万丹, 郭倩, 邓良凯, 等. 城市轨道交通网络脆弱性对比研究[J]. 城市轨道交通研究, 2021, 24(1): 60-64.
	WAN Dan, GUO Qian, DENG Liangkai, et al. Comparative study on vulnerability of urban rail transit network[J]. Urban Mass Transit, 2021, 24(1): 60-64.
[7]	马超群, 张爽, 陈权, 等. 客流特征视角下的轨道交通网络特征及其脆弱性[J]. 交通运输工程学报, 2020, 20(5): 208-216.
	MA Chaoqun, ZHANG Shuang, CHEN Quan, et al. Characteristics and vulnerability of rail transit network based on perspective of passenger flow characteristics[J]. Journal of Traffic and Transportation Engineering, 2020, 20(5): 208-216.
[8]	MATTSSON L G, JENELIUS E. Vulnerability and resilience of transport systems: a discussion of recent research[J]. Transportation Research Part A: Policy and Practice, 2015, 81: 16-34. doi: 10.1016/j.tra.2015.06.002
[9]	刘杰, 陈锦渠, 彭其渊, 等. 城市轨道交通网络可靠性和运输服务质量评估[J]. 西南交通大学学报, 2021, 56(2): 395-402.
	LIU Jie, CHEN Jinqu, PENG Qiyuan, et al. Reliability and service quality evaluation for urban rail transit network[J]. Journal of Southwest Jiaotong University, 2021, 56(2): 395-402.
[10]	LU Qingchang, LIN Shan. Vulnerability analysis of urban rail transit network within multi-modal public transport networks[J]. Sustainability, 2019, 11(7): DOI: 10.3390/su11072109.
[11]	YIN Haodong, WU Jianjun, SUN Huijun, et al. Optimal bus-bridging service under a metro station disruption[J]. Journal of Advanced Transportation, 2018, 2018: 1-16.
[12]	路庆昌, 崔欣, 徐标, 等. 公交接驳场景下轨道交通网络脆弱性研究[J]. 中国安全科学学报, 2021, 31(8): 141-146. doi: 10.16265/j.cnki.issn1003-3033.2021.08.020
	LU Qingchang, CUI Xin, XU Biao, et al. Vulnerability research of transit network under bus connection scenarios[J]. China Safety Science Journal, 2021, 31(8): 141-146. doi: 10.16265/j.cnki.issn1003-3033.2021.08.020
[13]	LIU Jie, SCHONFELD P M, ZHAN Shuguang, et al. Reducing an urban rail transit network's passenger-oriented vulnerability by adding turn-back tracks[J]. Transportmetrica B: Transport Dynamics, 2022, 10(1): 667-692. doi: 10.1080/21680566.2022.2025953
[14]	HIROKI N, MASAAKI F. Rethinking critical node problem for railway networks from the perspective of turn-back operation[J]. Physica A: Statistical Mechanics and its Applications, 2020, 558(1): DOI: 10.1016/j.physa.2020. 124950.
[15]	胡华, 高云峰, 刘志钢, 等. 地铁运营中断下公交桥接疏运车辆应急调度模型及算法[J]. 铁道学报, 2018, 40(5): 31-37.
	HU Hua, GAO Yunfeng, LIU Zhigang, et al. Model and algorithm for bridging bus emergency dispatching problem during metro operational disruptions[J]. Journal of the China Railway Society, 2018, 40(5): 31-37.
[16]	闫旭, 彭其渊, 殷勇, 等. 区域铁路运输安全态势表征与评估方法[J]. 中国安全科学学报, 2020, 30(4): 33-40. doi: 10.16265/j.cnki.issn1003-3033.2020.04.006
	YAN Xu, PENG Qiyuan, YIN Yong, et al. Characterization and assessment of safety situation for regional railway transportation[J]. China Safety Science Journal, 2020, 30(4): 33-40. doi: 10.16265/j.cnki.issn1003-3033.2020.04.006
[17]	DIXIT M, BRANDS T, OORT V N, et al. Passenger travel time reliability for multimodal public transport journeys[J]. Transportation Research Record: Journal of the Transportation Research Board, 2019, 2673(2): 149-160.
[18]	熊婕妤. 城市轨道交通运营中断下桥接公交组织方法[D]. 南京: 东南大学, 2021.
	XIONG Jieyu. Method of the bridging bus organization under disruption of urban rail transit[D]. Nanjing: Southeast University, 2021.

编号	相邻两折返站间的折返区间集合	所在线路
1	泾河—三店	线路1
2	三店—东吴大道	线路1
3	东吴大道—竹叶海	线路1
︙	︙	︙
122	未来一路—未来三路	线路11
123	未来三路—左岭	线路11
124	左岭—葛店南站	线路11

排序	折返区间集合	所在线路	区间数量	中断是否导致线路与网络断开连接
1	小龟山—广埠屯	2	5	是
2	虎泉—光谷广场	2	2	是
3	广埠屯—虎泉	2	1	是
4	光谷广场—光谷大道	2	3	是
5	新河街—瑞安街	7	4	否
6	古田三路—汉西一路	1	2	是
7	汉阳客运站—武汉商务区	3	7	否
8	汉西一路—宗关	1	1	是
9	光谷大道—武汉东站	2	2	是
10	岳家嘴—园林路	4	3	是
11	黄浦路—二七路	1	2	否