The purpose of this article is to develop a method for street network vulnerability using topology analysis and fuzzy multi-criteria decision-making (FMCDM) analysis. In this regard, a deterministic approach based on the worst-case earthquake scenario employed in the central area of Tehran. For this purpose, two main criteria are considered to study the vulnerability of the urban street network. One of them represents the vulnerability due to the interaction of collapsed buildings and urban roads, and the second one indicates the relevant street links with the potential for traffic attraction in terms of the betweenness centrality metric. The first criterion was processed using FMCDM, considering earthquake intensity, a ratio of road-side building height to road width, and type of building. The latter was measured using network centrality analysis representing the built environment in ArcGIS. The final vulnerability index is obtained by combining these criteria. The proposed method is relevant and straightforward, which can identify the critical links and assess the seismic vulnerability of the road networks. The technique enables disaster planners and managers to improve the robustness of the road network and assign the resources at regional and district scales.

本文的目的是开发一种使用拓扑分析和模糊多准则决策 (FMCDM) 分析的街道网络脆弱性方法。在这方面，德黑兰中心地区采用了一种基于最坏情况地震情景的确定性方法。为此，考虑了两个主要标准来研究城市街道网络的脆弱性。其中一个代表由于倒塌的建筑物和城市道路的相互作用而造成的脆弱性，第二个代表了相关的街道连接，在中介中心性度量方面具有潜在的交通吸引力。第一个准则是使用 FMCDM 处理的，考虑了地震强度、路边建筑物高度与道路宽度的比率以及建筑物类型。后者是使用代表 ArcGIS 中构建环境的网络中心性分析来测量的。结合这些标准得到最终的脆弱性指数。所提出的方法具有相关性和直接性，可以识别关键环节并评估道路网络的地震脆弱性。该技术使灾害规划人员和管理人员能够提高道路网络的稳健性，并在区域和地区范围内分配资源。