Driving Risk Assessment of Shared Electric Vehicles Based on CODAS Method

doi:10.11908/j.issn.0253-374x.22058

Home > Archive>Volume 51, Issue 8, 2023 >1306-1316. DOI:10.11908/j.issn.0253-374x.22058

Driving Risk Assessment of Shared Electric Vehicles Based on CODAS Method
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                        10.11908/j.issn.0253-374x.22058
                    
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                        LI YanlaiLI Yanlai
School of Business， Liaoning University， Shenyang 110036， China
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ZHANG DianfengZHANG Dianfeng
School of Business， Liaoning University， Shenyang 110036， China
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SHEN ZifanSHEN Zifan
School of Business， Liaoning University， Shenyang 110036， China
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Affiliation:School of Business， Liaoning University， Shenyang 110036， China
Clc Number:X820.4;F272.3
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Abstract:

Based on the fuzzy information and multi-attribute decision making， a failure mode and effect analysis （FMEA） method for shared electric vehicles（SEVs） was proposed， including determining experts candidate and their authority weights through mutual evaluation， constructing risk assessment criteria through qualitative analysis， testing expert opinions using consensus theory， objectively weighting risk factors using close degree optimization method， and ranking the risks of failure modes by introducing the combinative distance-based assessment （CODAS） method. The results show that high-risk failure modes are mainly distributed in power system and driving system. The robustness of the results and the validity of the method were verified by sensitivity analysis and comparative analysis. Finally， feasible safety management measures were proposed.

Key words:shared electric vehicles (SEVs);risk assessment;safety management;consensus inspection;combinative distance-based assessment (CODAS) method

Reference

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LI Yanlai, ZHANG Dianfeng, SHEN Zifan. Driving Risk Assessment of Shared Electric Vehicles Based on CODAS Method[J].同济大学学报(自然科学版),2023,51(8):1306~1316

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Received:February 17,2022
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Online: August 28,2023
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