Khan Sadiq, Pervez Amjad, Zhang Yinggui, Ahmad Suleman, Sharifzada Hijratullah, Ismail Emad A A, Awwad Fuad A
School of Traffic and Transportation Engineering, Central South University, Changsha, 410075, China.
School of Civil Engineering, Central South University, Changsha, 410075, China.
Heliyon. 2024 Jun 17;10(12):e32682. doi: 10.1016/j.heliyon.2024.e32682. eCollection 2024 Jun 30.
Pakistan Railway (PR) is vital to the country's transportation infrastructure, facilitating passenger and freight transportation. However, the growing number of accidents associated with PR has raised concerns about its overall safety. In addition, there have been limited research efforts to investigate PR accidents and their underlying causes The present study conducts a comprehensive risk assessment and safety management of PR using a semi-quantitative risk matrix approach. The study combines historical accident data and expert evaluations to assess the likelihood and consequences of different railway accident types and potential contributing factors. The descriptive statistics analysis has revealed varying degrees of severity for different types of railway accidents in Pakistan. For instance, accidents like passenger and goods train derailments and collisions at unmanned level crossings were identified as extreme and intolerable, whereas train fire accidents were categorized as high and undesirable. Moreover, accidents attributed to human error are classified as extreme and intolerable, while those caused by negligence of road users and track defects are classified as high and undesirable. The study utilized the risk matrix approach and identified critical risk areas that can help the decision-makers prioritize effective risk mitigation strategies. In light of the present study's findings, policy implications, such as investment in infrastructure to mitigate risks associated with aging or deteriorating tracks, bridges, and tunnels, and human resource development for railway personnel to improve their skills, decision-making abilities, and awareness of safety protocols, are recommended.
巴基斯坦铁路(PR)对该国的交通基础设施至关重要,它为客运和货运提供便利。然而,与PR相关的事故数量不断增加,引发了人们对其整体安全性的担忧。此外,针对PR事故及其潜在原因的研究工作有限。本研究采用半定量风险矩阵方法对PR进行全面的风险评估和安全管理。该研究结合历史事故数据和专家评估,以评估不同铁路事故类型及潜在促成因素的可能性和后果。描述性统计分析揭示了巴基斯坦不同类型铁路事故的严重程度各不相同。例如,客运和货运列车脱轨以及无人看守平交道口碰撞等事故被认定为极其严重且不可容忍,而列车火灾事故则被归类为高风险且不良。此外,归因于人为错误的事故被归类为极其严重且不可容忍,而由道路使用者疏忽和轨道缺陷导致的事故则被归类为高风险且不良。该研究采用风险矩阵方法,确定了关键风险领域,这有助于决策者优先制定有效的风险缓解策略。根据本研究的结果,建议采取一些政策措施,比如投资基础设施以降低与老化或恶化的轨道、桥梁和隧道相关的风险,以及开展铁路人员的人力资源开发,以提高他们的技能、决策能力和安全规程意识。