Spatial analysis of urban road network physical resilience of Tehran metropolis against severe threats

Articles in Press

Document Type : Research Paper

Authors

1 Passive Defense department, University of Supreme National Defense. Tehran, Iran

2 Department of Remote Sensing and Geographical Information System, Faculty of Planning and Environmental Sciences,University of Tabriz , Tabriz, Iran

10.22034/gp.2025.66803.3392

Abstract

Cities are complex and interdependent systems that are vulnerable to threats caused by natural and human disasters, which in recent years have caused great damage to cities, especially urban infrastructure. Resilience means that a society has the capacity to resist crises and disasters without suffering losses, reducing the quality of life, and requiring help from outside the community. Among the four dimensions of the resilience in cities is the physical-environmental dimension, which includes communication and road networks. Therefore, the purpose of the present study is to evaluate the physical resilience of the road network against severe threats in Tehran metropolis. The present study is a mixed type with a descriptive-analytical approach and an applied-developmental purpose. The criteria and sub-criteria in the physical resilience of the urban road network were collected and then weighted based on the analytic hierarchy process model. Finally, a physical resilience zoning map of the road network was prepared using Euclidean Distance, fuzzy, and TOPSIS analyses and functions. According to the output, nearly 70 percent of the roads are in the medium to low level in terms of resilience, and only 30 percent of the roads are in the high and very high category. Central areas with low scores are less resilient than bordering areas. According to the TOPSIS model, the distribution pattern has a strong cluster pattern with high concentration. Also, the road networks of the central areas were identified as hot or unfavorable clusters and the road networks of the bordering areas were identified as favorable and cold clusters.

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Journal of Geography and Planning

Articles in Press, Accepted Manuscript
Available Online from 20 July 2025

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