|Table of Contents|

Construction of evaluation index system for emergency rescue capacity of rail transit under serious epidemic situation(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2020年03期
Page:
129-138
Research Field:
交通运输规划与管理
Publishing date:

Info

Title:
Construction of evaluation index system for emergency rescue capacity of rail transit under serious epidemic situation
Author(s):
CHEN Ding-jun123 SUN Yun-hao1 LI Jun-jie1 NI Shao-quan123
(1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan,China; 2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, Sichuan, China; 3. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University,Chengdu 610031, Sichuan, China)
Keywords:
railway transportation serious epidemic emergency rescue transitive closure method evaluation indicator system
PACS:
U298
DOI:
10.19818/j.cnki.1671-1637.2020.03.012
Abstract:
The pre-selection evaluation indicators of railway emergency rescue capability under serious epidemic situation were constructed from three aspects, including railway emergency preparation capability, railway emergency response capability and railway emergency recovery capability. In order to improve the scientificity, feasibility, independence and reliability of the indicators, the transitive closure method was used to select the indicators. The evaluation indicator system of railway emergency rescue capability under serious epidemic situation was established, including 3 first level indicators, 15 second level indicators and 49 third level indicators, and the indicator weights were calculated by analytic hierarchy process based on triangular fuzzy number. Analysis result shows that, in the first level indicators, the weights of railway emergency preparation capability, railway emergency response capability and railway emergency recovery capability are 0.26, 0.53 and 0.21, respectively, and the weight of railway emergency response capacity is the largest. During the epidemic period, the transportation of medical staff and materials should be guaranteed, and the effective measures are taken to prevent the further spread of the epidemic. Among the second level indicators of the railway emergency preparation capability, the weight of emergency materials indicator is the largest with the value of 0.29. In the preparation stage, it is necessary to prevent the situation from getting worse, do a good job in emergency materials storage, increase the proportion of emergency materials funds, clarify the right and responsibility of each emergency organization, and timely improve and update the emergency plan. The weight of operation recovery is 0.47, which accounts for the largest proportion in the second level indicators under the railway emergency recovery capacity. In the recovery stage, the number of operating trains should be increased, the information of operating trains should be open timely, and the resumption special train should be set up. The system provides a scientific and effective reference for improving the railway’s emergency rescue capability under serious epidemic situations. 12 tabs, 2 figs, 30 refs.

References:

[1] 马茂冬,韩 尧,张 倩.基于模糊层次分析法的应急能力评估方法探讨[J].中国安全生产科学技术,2009,5(2):98-102.
MA Mao-dong, HAN Yao, ZHANG Qian. Evaluation method of emergency response capabilities based on FAHP[J]. Journal of Safety Science and Technology, 2009, 5(2): 98-102.(in Chinese)
[2] 胡月亭,李彦涛.基于可拓的石油化工企业应急能力评估研究[J].中国安全生产科学技术,2013,9(3):144-149.
HU Yue-ting, LI Yan-tao. Study on evaluation of emergency response capabilities of petrochemical enterprises based on extension method[J]. Journal of Safety Science and Technology, 2013, 9(3): 144-149.(in Chinese)
[3] 伍 蒙,许 渊,李 左,等.基于AHP-熵权法的某LPG储罐区应急救援能力评估[J].山东化工,2019,48(20):233-236.
WU Meng, XU Yuan, LI Zuo, et al. Evaluation on emergency response capability of LPG storage tank based on AHP- entropy weight method[J]. Shandong Chemical Industry, 2019, 48(20): 233-236.(in Chinese)
[4] 赵 琳.城市气象灾害应急救援服务能力评估研究[D].南京:南京信息工程大学,2012.
ZHAO Lin. The evaluation of emergency rescue service ability for urban meteorological disasters[D]. Nanjing: Nanjing University of Information Science and Technology, 2012.(in Chinese)
[5] 曲国胜.基于风险和应急准备能力评估的应急救援能力建设[J].安全,2019,40(5):1-6.
QU Guo-sheng. Emergency rescue capacity building based on risk and emergency preparedness capability assessment[J]. Safety and Security, 2019, 40(5): 1-6.(in Chinese)
[6] 赵国堂,周诗广.我国市域铁路发展现状及未来展望[J].中国铁路,2018(8):1-10.
ZHAO Guo-tang, ZHOU Shi-guang. Today and future of suburban railway in China[J]. China Railway, 2018(8): 1-10.(in Chinese)
[7] 徐建光.我国铁路突发事件应急管理体系研究[D].成都:西南交通大学,2010.
XU Jian-guang. The study of China railway emergency management system[D]. Chengdu: Southwest Jiaotong University, 2010.(in Chinese)
[8] 詹美蓉,谢忠杭,蔡少健,等.突发公共卫生事件应急预案评价指标体系构建初探[J].预防医学论坛,2019,25(3):190-193.
ZHAN Mei-rong, XIE Zhong-hang, CAI Shao-jian, et al. Development of index system for comprehensive evaluation on public health emergency plan[J]. China Academic Journal Electronic Publishing House, 2019, 25(3): 190-193.(in Chinese)
[9] 孙 梅,吴 丹,施建华,等.我国突发公共卫生事件应急处置政策变迁:2003~2013年[J].中国卫生政策研究,2014,7(7):24-29.
SUN Mei, WU Dan, SHI Jian-hua, et al. Policies change related to public health emergency disposal in China: from 2003 to 2013[J]. Chinese Journal of Health Policy, 2014, 7(7): 24-29.(in Chinese)
[10] 高小平.中国特色应急管理体系建设的成就和发展[J].中国行政管理,2008(11):18-24.
GAO Xiao-ping. Achievement and development of emergency management system with Chinese characteristics[J]. Chinese Public Administration, 2008(11): 18-24.(in Chinese)
[11] 李俊捷,姚欣怡,陈钉均,等.跨区域综合交通应急救援预案评估指标选取[J].中国安全科学学报,2018,28(增2):185-190.
LI Jun-jie, YAO Xin-yi, CHEN Ding-jun, et al. Evaluation index selection of comprehensive inter-regional traffic emergency rescue plan[J]. China Safety Science Journal, 2018, 28(S2): 185-190.(in Chinese)
[12] 刘聚涛,高俊峰,姜加虎.不同模糊评价方法在水环境质量评价中的应用比较[J].环境污染与防治,2010,32(1):20-25.
LIU Ju-tao, GAO Jun-feng, JIANG Jia-hu. Application of different fuzzy assessment methods of water quality assessment in Dianchi Lake[J]. Environmental Pollution and Control, 2010, 32(1): 20-25.(in Chinese)
[13] 郭蕴华,陈定方.基于模糊聚类分析的客户分类算法研究[J].计算机应用研究,2005(4):52-53,57.
GUO Yun-hua, CHEN Ding-fang. Research on algorithm of customer-classified based on fuzzy clustering analysis[J]. Application Research of Computers, 2005(4): 52-53, 57.(in Chinese)
[14] 郭 梅,赵希男,陈洋洋,等.模糊聚类在筛选本科生教育评定指标中的应用[J].东北大学学报(自然科学版),2011,32(3):452-456.
GUO Mei, ZHAO Xi-nan, CHEN Yang-yang, et al. Application of fuzzy clusters to screen undergraduate education assessment targets[J]. Journal of Northeastern University(Natural Science), 2011, 32(3): 452-456.(in Chinese)
[15] 迟国泰,曹婷婷,张 昆.基于相关-主成分分析的人的全面发展评价指标体系构建[J].系统工程理论与实践,2012,32(1):111-119.
CHI Guo-tai, CAO Ting-ting, ZHANG Kun. The establishment of human all-around development evaluation indicators system based on correlation-principle component analysis[J]. Systems Engineering—Theory and Practice, 2012, 32(1): 111-119.(in Chinese)
[16] 张朝阳,赵 涛,王春红.基于粗糙集的属性约简方法在指标筛选中的应用[J].科技管理研究,2009,29(1):78-79,85.
ZAHNG Chao-yang, ZHAO Tao, WANG Chun-hong. Application of attribute reduction method based on rough set in index selection[J]. Science and Technology Management Research, 2009, 29(1): 78-79, 85.(in Chinese)
[17] KUO R J, LIN T C, ZULVIA F E, et al. A hybrid
metaheuristic and kernel intuitionistic fuzzy c-means algorithm for cluster analysis[J]. Applied Soft Computing, 2018, 67: 299-308.
[18] YANG M S, NATALIANI Y. Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters[J]. Pattern Recognition, 2017, 71: 45-59.
[19] NAYAK J, NAIK B, BEHERA H S, et al. Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis[J]. Expert Systems with Applications, 2017, 79: 282-295.
[20] TSENG M L, LIM M, WU K J, et al. A novel approach for enhancing green supply chain management using converged interval-valued triangular fuzzy numbers-grey relation analysis[J]. Resources, Conservation and Recycling, 2018, 128: 122-133.
[21] KAHN JR C E. Transitive closure of subsumption and causal relations in a large ontology of radiological diagnosis[J]. Journal of Biomedical Informatics, 2016, 61: 27-33.
[22] DHALMAHAPATRA K, SHINGADE R, MAHAJAN R, et al. Decision support system for safety improvement: an approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering[J]. Computers and Industrial Engineering, 2019, 128: 277-289.
[23] LEE H S. An optimal algorithm for computing the max-min transitive closure of a fuzzy similarity matrix[J]. Fuzzy Sets and Systems, 2001, 123: 129-136.
[24] ZHANG Xi-xiang, MA Wei-min, CHEN Li-ping. New similarity of triangular fuzzy number and its application[J]. The Scientific World Journal, 2014, 2014: 1-7.
[25] 张 涵.城市铁路运营安全风险评估与指标体系研究[D].北京:首都经济贸易大学,2018.
ZHANG Han. Research on operational safety risk assessment and index system of urban rail transit[D]. Beijing: Capital University of Economics and Business, 2018.(in Chinese)
[26] 徐泽水.三角模糊数互补判断矩阵的一种排序方法[J].模糊系统与数学,2002,16(1):47-50.
XU Ze-shui. A method for priorities of triangular fuzzy number complementary judgement matrices[J]. Fuzzy Systems and Mathematics, 2002, 16(1): 47-50.(in Chinese)
[27] 徐泽水.三角模糊数互补判断矩阵排序方法研究[J].系统工程学报,2004,19(1):85-88.
XU Ze-shui. One priority method of triangular fuzzy number complementary judgement matrix[J].Journal of Systems Engineering, 2004, 19(1): 85-88.(in Chinese)
[28] 高 勇.电力通信网可靠性评估指标体系的设计与优化[D].北京:华北电力大学,2011.
GAO Yong. Design and optimization of reliability evaluation index system of electric power communication network[D]. Beijing: North China Electric Power University, 2011.(in Chinese)
[29] 云 俊,李远远.项目评价中指标体系选取的有效性及优化[J].商业时代,2009(9):47-48.
YUN Jun, LI Yuan-yuan. The validity and optimization of index system selection in project evaluation[J]. Commercial Times, 2009(9): 47-48.(in Chinese)
[30] 游海燕.评价指标体系的优化研究及实现[J].科技管理研究,2009,29(12):128-129,205.
YOU Hai-yan. Research and implementation of optimization of evaluation index system[J]. Science and Technology Management Research, 2009, 29(12): 128-129, 205.(in Chinese)

Memo

Memo:
-
Last Update: 2020-07-10