Measuring road network resilience through loss of serviceability index for critical road links

IF 1.5 Q3 ENGINEERING, CIVIL
S. Ientile, Guillame Bianne, C. Chevalier, Franziska Schmidt, Mezgeen A. Rasol, A. Orcesi, L. Adelaide, B. Nedjar
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引用次数: 3

Abstract

In a complex network such as a road infrastructure system, disruptive events have direct consequences (loss of lives, structural damage, economy losses etc.) related to the sub-system level directly affected, as well as indirect consequences on the overall system level such as loss of functionality and related monetary consequences. To quantify the influence of component failures on the network performance, complex network analysis allows representing the relation among its components and the consequences in order to estimate the functionality of the system. The serviceability of a road network is the possibility to use it during a given time period as representing the performance of the system. Thus, the time to restored serviceability after a disruptive event is measuring road transportation resilience. In this paper, network analysis with the help of OSMnx Python package, supplied by road network data from OpenStreetMap, is applied to a Spanish motorway case study. Loss of serviceability index is obtained combining the results of road links failure scenarios based on shortest paths and travel times in order to estimate road network resilience. The proposed methodology allows a suitable evaluation of the influence of road links in the risk assessment and management strategies by road infrastructure owners and managers.
通过关键路段的可用性指数损失来测量路网弹性
在道路基础设施系统等复杂网络中,破坏性事件具有与直接受影响的子系统级别相关的直接后果(生命损失,结构破坏,经济损失等),以及对整个系统级别的间接后果,如功能损失和相关的金钱后果。为了量化组件故障对网络性能的影响,复杂网络分析允许表示其组件之间的关系和后果,以便估计系统的功能。道路网络的可服务性是在给定时间段内使用它的可能性,代表系统的性能。因此,在破坏性事件发生后恢复服务能力的时间是衡量道路运输弹性的标准。本文利用OpenStreetMap提供的路网数据,借助OSMnx Python包进行网络分析,并将其应用于西班牙高速公路的案例研究。结合基于最短路径和行驶时间的路网故障情景分析结果,得到路网的可服务性损失指数,以估计路网的恢复能力。建议的方法允许道路基础设施所有者和管理人员对道路连接在风险评估和管理策略中的影响进行适当的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
10.00%
发文量
48
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