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Petroleum Science Bulletin ›› 2026, Vol. 11 ›› Issue (5): 1571-1582. doi: 10.3969/j.issn.2096-1693.2026.02.055

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Safety risk analysis and intervention strategy simulation for petrochemical product transportation based on analytic network process and system dynamics

WU Jun1(), LI Jinhao1, HUANG Kuan1, JIANG Tianhan2, LIU Chunying3, QIU Rui3,*()   

  1. 1 School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China
    2 China Academy of Safety Science and Technology, Beijing 100012, China
    3 College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
  • Received:2026-04-01 Revised:2026-08-19 Online:2026-10-15 Published:2026-10-31
  • Contact: *rqiu@cup.edu.cn。 E-mail:wujun@mail.buct.edu.cn;rqiu@cup.edu.cn

基于ANP和SD的石油化工产品运输安全风险分析与干预策略仿真研究

吴军1(), 李锦昊1, 黄宽1, 江田汉2, 刘春颖3, 邱睿3,*()   

  1. 1 北京化工大学经济管理学院, 北京 100029
    2 中国安全生产科学研究院, 北京 100012
    3 中国石油大学(北京)石油工程学院, 北京 102249
  • 通讯作者: *邱睿(1996年—),博士,讲师,主要从事石油化工产品运输优化及智能化转型研究,rqiu@cup.edu.cn。 E-mail:wujun@mail.buct.edu.cn;rqiu@cup.edu.cn
  • 作者简介:吴军(1974年—),博士,教授,主要研究方向为安全风险与应急管理,wujun@mail.buct.edu.cn。
  • 基金资助:
    北京市自然科学基金面上项目(9222024);国家能源集团安全生产管理体系研究(GJNY-23-1);国家重点研发计划项目(2022YFC3006400);中国安全生产科学研究院基本科研业务费项目(2024JBKY10);中国安全生产科学研究院基本科研业务费项目(2024JBKY11)

Abstract:

To investigate the dynamic mechanisms of risk factors in petrochemical product transportation and thereby formulate risk control strategies, this study takes petrochemical product transportation risk as its research object. Based on 86 typical accident cases from 2018 to 2024, the Wuli-Shili-Renli (WSR, i.e., physical-logical-human) methodology is adopted to systematically identify 11 key risk factors across three dimensions. The Analytic Network Process (ANP) is employed to calculate the weights of these factors and clarify their mutual influencing relationships, and System Dynamics (SD) is used to construct a simulation model of the risk level of petrochemical product transportation, so as to explore the effects of different strategies on risk levels. The results show that intervention strategies across all three dimensions—physical, logical, and human—can effectively reduce the risk level of petrochemical product transportation. Among them, increased investment in the human dimension has the most significant effect on risk control; among all influencing factors, the intensity of government supervision has the greatest impact on the risk level of petrochemical product transportation; the optimal intervention in the physical dimension is increasing investment in emergency facilities, in the logical dimension is strengthening government supervision, and in the human dimension is improving the operational skills of workers. The conclusions provide a decision-making reference for the safety management of petrochemical product transportation: it is recommended that the government improve regulations and standards and strengthen supervision, that enterprises rationally allocate safety investments across the three dimensions, and that they focus on personnel education, training, and skill enhancement to reduce the risk of the petrochemical product transportation system.

Key words: petrochemical product, safety risk, wuli-shili-renli systems methodology, analytic network process, system dynamics

摘要:

为了深入探究石油化工产品运输风险因素的动态作用机理并制定风险控制策略,本文以石油化工产品运输风险为研究对象,基于2018—2024年86起典型事故案例,通过物理—事理—人理(WSR)方法论系统识别3个维度下的11项关键风险因素。采用网络层次分析法(ANP)计算各因素权重,明确因素间相互影响关系,运用系统动力学(SD)构建石油化工产品运输风险水平仿真模型,探究不同策略对风险水平的影响规律。结果表明:“物理—事理—人理”3个维度的干预策略均可有效降低石油化工产品运输风险水平。其中人理维度投入增加对风险水平控制效果最为显著;各影响因素中政府监管力度对石油化工产品运输风险水平影响最大;物理维度最优干预为增加应急设施投入,事理维度为强化政府监管,人理维度为提升作业人员操作技能。研究结论可为石油化工产品运输安全管理提供决策参考:建议政府完善法规标准并强化监管,企业合理配置3个维度的安全投入,重点加强人员教育培训与技能提升,降低石油化工产品运输系统风险。

关键词: 石油化工产品, 安全风险, 物理—事理—人理方法论, 网络层次分析法, 系统动力学

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