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

Yaolong Liu (), Xiaoli Huang, Jin Duan and Huaming Zhang
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Yaolong Liu: Taiyuan University of Technology
Xiaoli Huang: Taiyuan University of Technology
Jin Duan: Taiyuan University of Technology
Huaming Zhang: Meteorological Disaster Prevention Technology Center of Shanxi Province

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2017, vol. 88, issue 3, No 6, 1409-1422

Abstract: Abstract 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.

Keywords: Grey relational degree; Fuzzy comprehensive evaluation; Traffic accident risk; Safety (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (11)

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DOI: 10.1007/s11069-017-2923-2

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