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基于道路线形的中国客车和公交车事故因果分析

Causal analysis of coach and bus accidents in China based on road alignments.

作者信息

Zhang Qingxia, Lu Yao, Feng Fan, Hu Junyan

机构信息

School of Public Management, Gansu University of Political Science and Law, Lanzhou, China.

School of Management, Lanzhou University, Lanzhou, China.

出版信息

Heliyon. 2023 Apr 5;9(4):e15231. doi: 10.1016/j.heliyon.2023.e15231. eCollection 2023 Apr.

Abstract

Given the complexity and the difficulty of controlling contributors effectively, road passenger transport often results in serious injuries and fatalities. The purpose of this study is to identify the main contributors to coach and bus accidents and to provide policy recommendations for making improvements in accident prevention. The Driving Reliability and Error Analysis Method 3.0 (DREAM 3.0) was modified and used to analyze the contributing factors (i.e. phenotypes and genotypes in DREAM) and their casual mechanisms. By having statistical analysis and social network analysis (SNA) adopted, the main genotypes and phenotypes of the DREAM charts were identified. The results of the study showed that A2.1 (too high speed) was the key phenotype and the main genotypic process chain leading to the phenotype was "inadequate safety management → inadequate training → inadequate skills/knowledge → misjudgment of the situation → too high speed" on all types of road. For A2.1 (too high speed), C2 (misjudgment of the situation) was the dominant genotype, while N5 (inadequate safety management) was the root cause of most genotypes. This suggests that road passenger transport companies, as the responsible parties, often fail to implement or violate safety prevention and control systems. Government regulators should promote the policy system and incentivize them to fulfil their safety management responsibilities. The government should also educate the public and improve the road environment to reduce passenger-related risks and the impact of environmental factors on drivers.

摘要

鉴于有效控制事故成因的复杂性和难度,道路客运经常导致严重伤亡。本研究旨在确定长途客车和公交车事故的主要成因,并为改进事故预防工作提供政策建议。对驾驶可靠性与失误分析方法3.0(DREAM 3.0)进行了改进,并用于分析促成因素(即DREAM中的表型和基因型)及其因果机制。通过采用统计分析和社会网络分析(SNA),确定了DREAM图表的主要基因型和表型。研究结果表明,A2.1(速度过快)是关键表型,在各类道路上,导致该表型的主要基因型过程链为“安全管理不足→培训不足→技能/知识不足→对情况判断失误→速度过快”。对于A2.1(速度过快),C2(对情况判断失误)是主要基因型,而N5(安全管理不足)是大多数基因型的根本原因。这表明,作为责任方的道路客运公司往往未能实施或违反安全预防和控制系统。政府监管机构应完善政策体系,并激励它们履行安全管理责任。政府还应教育公众并改善道路环境,以降低与乘客相关的风险以及环境因素对驾驶员的影响。

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