Key Influencing Factors of Urban Rail Transit Station Resilience under Rainstorm Disaster

doi:10.3969/j.issn.1674-0696.2023.05.14

Abstract

Abstract: It is of great significance to study the key influencing factors of rainstorm disaster on station resilience to ensure the safe travel of residents. Firstly, 20 factors affecting station resilience were selected from the three attributes of resilience (resistance, resilience, and adaptability). Then, taking the adjacency relationship between influencing factors as the research data, the CONCOR method of cohesive subgroup analysis in social network analysis (SNA) was used to analyze the relationship of secondary group structure in factor network. Finally, the centrality analysis of SNA was used to screen out the key influencing factors of station resilience. The research results show that the key influencing factors of station resilience under rainstorm disaster are: flood control monitoring capability, flood control water retaining capability, personnel evacuation efficiency, flood control drainage capability, flood control fund investment, personnel coordination and cooperation capability, flood control emergency plan system and flood control training drill.

Key words: traffic engineering; rainstorm disaster; station; resilience; social network analysis (SNA)

摘要： 研究暴雨灾害对车站韧性的关键影响因素，对保证居民的安全出行有重要意义。首先从韧性3属性（抵抗力、恢复力、适应力）中选出20个车站韧性影响因素，然后以影响因素间的邻接关系为研究数据，运用社会网络分析法（SNA）中凝聚子群分析的CONCOR法分析因素网络中次级团体结构的相互关系，最后运用SNA的中心度分析来筛选出车站韧性的关键影响因素。研究结果可以看出，暴雨灾害下车站韧性的关键影响因素为：防汛监控能力、防汛挡水能力、人员疏散效率、防汛排水能力、防汛资金投入、人员协调配合能力、防汛应急预案制度和防汛培训演练。

关键词: 交通运输工程；暴雨灾害；车站；韧性；社会网络分析（SNA）

CLC Number:

U491.2

JIAO Liudan, LI Dongrong, ZHANG Yu, HUO Xiaosen. Key Influencing Factors of Urban Rail Transit Station Resilience under Rainstorm Disaster[J]. Journal of Chongqing Jiaotong University(Natural Science), 2023, 42(5): 109-115.

焦柳丹，李东荣，张羽，霍小森. 暴雨灾害下城市轨道交通车站韧性关键影响因素研究[J]. 重庆交通大学学报（自然科学版）, 2023, 42(5): 109-115.

References

［1］焦柳丹,朱影含,吴雅,等.基于演化博弈理论的城市轨道交通高峰票价定价研究［J］.重庆交通大学学报(自然科学版),2021,40(8):42-49.
JIAO Liudan, ZHU Yinghan, WU Ya,et al. Pricing of urban rail transit peak fare based on evolutionary game theory ［J］. Journal of Chongqing Jiaotong University (Natural Science), 2021, 40(8): 42-49.
［2］权瑞松,刘敏,张丽佳. 上海市地下轨道交通暴雨内涝脆弱性评价［J］. 人民长江, 2011, 42(15): 13-17.
QUAN Ruisong, LIU Min, ZHANG Lijia. Vulnerability assessment of rainstormwaterlogging in subway of Shanghai ［J］. Yangtze River, 2011, 42(15): 13-17.
［3］朱海燕,尤秋菊,郝敏娟.北京市地下轨道交通暴雨内涝灾害脆弱性评估［J］.安全,2018,39(2):24-27,31.
ZHU Haiyan, YOU Qiuju, HAO Minjuan. Vulnerability assessment of rainstorm waterlogging disaster on Beijing underground rail transit ［J］.Safety & Security, 2018, 39(2): 24-27, 31.
［4］ LYU Haimin, SUN Wenjuan, SHEN Shuilong, et al. Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach ［J］.Science of the Total Environment, 2018, 626: 1012-1025.
［5］江辉,曾亚光,徐田坤,等. 强降雨下地铁过渡段洞口/车站出入口降水量阈值研究［J］. 北京交通大学学报, 2015, 39(1): 52-58.
JIANG Hui, ZENG Yaguang, XU Tiankun, et al. Precipitation threshold for subway openings/station entrances under heavy rainfall ［J］.Journal of Beijing Jiaotong University, 2015, 39(1): 52-58.
［6］ WANG Yuning, LIANG Yingzi, SUN Hui. A regret theory-based decision-making method for urban rail transit in emergency response of rainstorm disaster ［J］.Hindawi, 2020 (1): 1-12.
［7］ HOLLING C. S. Resilience and stability of ecological systems ［J］. Annual Review of Ecology & Systematics, 1973, 4(1): 1-23.
［8］陈长坤,陈以琴,施波,等. 雨洪灾害情境下城市韧性评估模型［J］.中国安全科学学报,2018,28(4):1-6.
CHEN Changkun, CHEN Yiqin, SHI Bo, et al. A model for evaluating urban resilience to rainstorm flood disasters ［J］. China Safety Science Journal, 2018, 28(4):1-6.
［9］陈波. 地铁车站防汛工作措施探讨［J］.现代城市轨道交通, 2017 (11): 57-59.
CHEN Bo. Discussion on flood prevention measures of metro station ［J］. Modern Urban Transit, 2017 (11): 57-59.
［10］裴彦. 暴雨灾害条件下轨道交通网络脆弱性与抗毁性研究［D］.西安：长安大学, 2019.
PEI Yan.Study on the Vulnerability and Survivability of the Urban Rail Transit Network under the Rainstorm ［D］. Xian: Changan University, 2019.
［11］姚远. 郑州市地下轨道交通沿线建筑物暴雨内涝脆弱性评估［D］. 郑州：华北水利水电大学, 2019.
YAO Yuan.Vulnerability Assessment of Rainstorm Waterlogging of Buildings along Underground Rail Transit in Zhengzhou City ［D］. Zhengzhou: North China University of Water Resources and Electric Power, 2019.
［12］ TAN Yongtao, XU Hui, JIAO Liudan, et al. A study of best practices in promoting sustainable urbanization in China ［J］.Journal of Environmental Management, 2017, 193:8-18.
［13］马辉,王素贞,黄梦娇.基于社会网络分析的建筑产业联盟协同创新影响因素分析——以京津冀地区为例［J］.科技管理研究,2018,38(15):170-176.
MA Hui, WANG Suzhen, HUANG Mengjiao. Analysis of factors influencing cooperative innovation in construction industry alliance based on social network analysis: Taking Beijing-Tianjin-Hebei region as an example ［J］.Science and Technology Management Research, 2018, 38(15):170-176.
［14］张富贵,谌微微,赵晓波.我国轨道交通研究热点的可视化分析［J］.重庆交通大学学报(自然科学版),2018,37(9):113-121.
ZHANG Fugui, CHEN Weiwei, ZHAO Xiaobo. Visualization analysis for research hotspots of rail transit in China ［J］. Journal of Chongqing Jiaotong University (Natural Science), 2018, 37(9):113-121.
［15］王丽琼,张云峰.乡村振兴视阈下泉州市农村环境多元共治有效路径研究［J］.中国农业资源与区划,2019,40(8):219-225.
WANG Liqiong, ZHANG Yunfeng. Study on path of cooperative governance for village environment in Quanzhou from the perspective of rural revitalization strategy ［J］. Chinese Journal of Agricultural Resources and Regional Planning, 2019, 40(8): 219-225.

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