School of Traffic &Transportation Engineering, Changsha University of Science and Technology, Changsha, Hunan, China.
College of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China.
PLoS One. 2024 Jul 19;19(7):e0307233. doi: 10.1371/journal.pone.0307233. eCollection 2024.
In order to evaluate the impact of emergencies on the resilience of highway transportation, a resilience network hierarchical model of the highway transportation system was constructed by analyzing the formation and emergence process of safety resilience in the highway transportation system. Four layers of networks were divided, including highway network, transport network, traffic network, and emergency network. Combined with the network hierarchical model, a resilience evaluation index system was designed, and an assessment method for highway transportation systems based on the fuzzy analytic hierarchy process(FAHP) was proposed. Finally, a case study of a public health emergency in a region of Hunan was carried out. The results show that the proposed method for evaluating the safety resilience of highway transportation systems can better reflect the overall resilience under public health emergencies, which is consistent with the quantitative analysis results through the system resilience curve. It helps to accurately evaluate the safety resilience of the system. At the same time, this method has the advantages of flexibility and simplicity in solving unstructured decision-making problems of the system, which helps to improve the safety production management and safety resilience level of highway transportation systems. In the future, the scope of research scenarios and regions can be expanded, and further analysis of the evolution of safety resilience and the ability of resilience development in different stages under external disturbances can be conducted in order to further explore and optimize the resilience of the system.
为了评估突发事件对公路交通恢复力的影响，通过分析公路交通系统安全恢复力的形成和出现过程，构建了公路交通系统的恢复力网络层次模型。该模型划分了包括公路网、运输网、交通网和应急网在内的四个层次的网络。结合网络层次模型，设计了恢复力评价指标体系，并提出了一种基于模糊层次分析法（FAHP）的公路交通系统恢复力评估方法。最后，对湖南省某地区突发公共卫生事件进行了案例研究。结果表明，所提出的公路交通系统安全恢复力评价方法能够更好地反映公共卫生突发事件下的整体恢复力，与通过系统恢复力曲线进行的定量分析结果一致。有助于准确评估系统的安全恢复力。同时，该方法在解决系统非结构化决策问题方面具有灵活性和简洁性的优点，有助于提高公路交通系统的安全生产管理和安全恢复力水平。未来，可以扩大研究场景和区域的范围，并进一步分析在外部干扰下不同阶段安全恢复力的演变和恢复力发展的能力，以进一步探索和优化系统的恢复力。
