整合设计和系统方法,分析低收入地区的道路交通碰撞事故
Khondhaker Al Momin1, Omar Faruqe Hamim2, Md Shamsul Hoque3
1Department of Civil Engineering, Daffodil International University, Dhaka, Bangladesh; School of Civil Engineering & Environmental Science, University of Oklahoma, Norman, OK 73019, USA.
Accident; analysis and prevention
|February 21, 2025
概括
这项研究通过将系统理论事故模型和过程系统理论过程分析 (STAMP-STPA) 与设计与意图 (DwI) 结合起来,提高了低收入和中等收入国家 (LMIC) 的道路安全. 综合方法识别系统性故障,并为关键道路安全问题提供设计解决方案.
科学领域:
- 公共卫生和公共安全.
- 系统工程 系统工程
- 人与计算机的交互
背景情况:
- 交通事故在低收入和中等收入国家 (LMICs) 构成重大威胁,由复杂的社会和系统因素驱动.
- 现有的道路安全干预措施往往缺乏全面的方法来解决系统漏洞和基于设计的解决方案.
研究的目的:
- 开发和应用一个使用系统理论事故模型和过程系统理论过程分析 (STAMP-STPA) 和设计与意图 (DwI) 的综合框架,以提高LMIC的道路安全干预措施.
- 通过孟加拉国的案例研究,分析系统性故障,并通过孟加拉国的案例研究,为改善道路安全提供实际的设计解决方案.
主要方法:
- 应用STAMP-STPA来识别道路安全系统中的控制和反故障.
- 利用设计与意图 (DwI) 研讨会,以产生道路安全的创意设计解决方案.
- 采用自然语言处理 (NLP) 技术,包括主题建模和大图分析,以分析DWI研讨会的成果.
主要成果:
- 在政策,车辆标准,交叉路口设计和执法方面,STAMP-STPA确定了关键的系统漏洞,导致了十项拟议的对策.
- DwI研讨会产生了专注于基础设施,驾驶员教育和技术的设计想法.
- 从研讨会数据中,NLP分析揭示了四个关键主题和突出的大图,表明了针对性干预的领域.
结论:
- 综合STAMP-STPA和DWI框架提供了一种全面的方法来确定和实施应对措施,解决道路安全的基础设施和人力因素.
- 该框架的适用性通过孟加拉国的一项案例研究来证明,突出了其在LMIC环境中的潜力.
- 建议对多种LMIC病例研究进行进一步研究,以提高研究结果的概括性.
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