The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method

被引:0
|
作者
Yaolong Liu
Xiaoli Huang
Jin Duan
Huaming Zhang
机构
[1] Taiyuan University of Technology,College of Economics and Management
[2] Taiyuan University of Technology,Institute of Politics and Law
[3] Meteorological Disaster Prevention Technology Center of Shanxi Province,undefined
来源
Natural Hazards | 2017年 / 88卷
关键词
Grey relational degree; Fuzzy comprehensive evaluation; Traffic accident risk; Safety;
D O I
暂无
中图分类号
学科分类号
摘要
The traffic accident risk includes three aspects, traffic accident probability, traffic accident severity, and traffic accident trend respectively. In this paper, nine indicators are selected to evaluate the traffic accident risk. The grey relational analysis method was used to determine the weights, and the fuzzy comprehensive evaluation method was used to calculate the risk. These methods were applied to assess the comprehensive risk of traffic accident in 31 provinces in China. The results show that the average value of traffic accident risk is 55.17. Nine provinces which are located in the northwest area and southeast area belong to the high-risk level. The medium-risk areas are widely distributed in the central, northeast, and southwest regions. The low-risk areas are Jilin, Neimenggu, Guizhou, and Beijing. The results have great significance for the measurement and management of regional traffic accident risk.
引用
收藏
页码:1409 / 1422
页数:13
相关论文
共 50 条
  • [1] The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method
    Liu, Yaolong
    Huang, Xiaoli
    Duan, Jin
    Zhang, Huaming
    [J]. NATURAL HAZARDS, 2017, 88 (03) : 1409 - 1422
  • [2] Comprehensive evaluation method of enterprise financial risk based on fuzzy grey correlation analysis
    Lin, Xuena
    Shang, Guijun
    [J]. International Journal of Business Intelligence and Data Mining, 2025, 26 (1-2) : 147 - 160
  • [3] Risk evaluation of information system based on grey and fuzzy comprehensive method
    Li, Cunbin
    Zhang, Liang
    [J]. Journal of Computational Information Systems, 2009, 5 (06): : 1705 - 1712
  • [4] Analysis of Time Distribution in Traffic Accident Based on Fuzzy Assessment Method
    He Song-bai
    Wei Ai-guo
    Yu Dian-xiang
    Tan Zhong
    Wang Peng
    [J]. ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS, 2009, : 649 - 651
  • [5] Three level Fuzzy Comprehensive Evaluation based on Grey Relational Analysis and Entropy weights
    Liu Xu-lin
    Song Bao-wei
    [J]. ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 2, 2008, : 32 - 35
  • [6] Sluice Risk Consequence's Comprehensive Evaluation Based on Grey Relational Analysis
    Zheng, Haoyao
    Sheng, Jinbao
    Peng, Xuehui
    Wang, Yin
    Zhao, Xueying
    [J]. MATERIALS PROCESSING AND MANUFACTURING III, PTS 1-4, 2013, 753-755 : 1918 - +
  • [7] Campus Safety Assessment Based on Comprehensive Grey Relational Analysis
    Zhou, Yi
    Zhao, Xiaogang
    Zhao, Jianyu
    [J]. 2011 INTERNATIONAL CONFERENCE ON EDUCATION SCIENCE AND MANAGEMENT ENGINEERING (ESME 2011), VOLS 1-5, 2011, : 1589 - 1592
  • [8] Aviation safety risk assessment based on fuzzy cognitive map and grey relational analysis
    Wei, Dong
    Wang, Qiang
    Gao, Jianguo
    Shi, Yao
    Chen, Qiuyu
    [J]. SIXTH INTERNATIONAL CONFERENCE ON ELECTROMECHANICAL CONTROL TECHNOLOGY AND TRANSPORTATION (ICECTT 2021), 2022, 12081
  • [9] Application of Grey Relational Analysis on Comprehensive Evaluation about China Traffic Accidents
    Wu Lurong
    Ma Yongzhen
    [J]. PROGRESS IN SAFETY SCIENCE AND TECHNOLOGY, VOL VII, PTS A AND B, 2008, 7 : 300 - 304
  • [10] Comprehensive Risk Assessment Method of Power Grid Based on Grey Relational Weight Game Theory
    Lu, Dan
    Xu, Changqing
    Zhang, Linjuan
    Wang, Lili
    Sun, Yanying
    [J]. 2019 5TH INTERNATIONAL CONFERENCE ON GREEN MATERIALS AND ENVIRONMENTAL ENGINEERING, 2020, 453