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<p>Urban resilience, defined as the capacity of urban systems to anticipate, absorb, adapt, and recover from natural and anthropogenic hazards (such as earthquakes, floods, pandemics, and institutional and managerial crises), is a key pillar for achieving sustainable development. Cities are vulnerable to these hazards due to the complexity of their human, physical, and institutional relationships, necessitating a data-driven and resilient decision-making system. The present research aims to assess the level of resilience across the ten districts of the Tabriz Metropolitan Area and to propose a model for urban decision-making and policymaking to enhance it. In this study, five main dimensions—including physical-spatial, social, infrastructural, urban structure, and institutional—along with 29 indices were identified and analyzed. Data were collected from the Tabriz Comprehensive Plan and through specialized expert questionnaires distributed across the districts. The MEREC method was utilized for weighting the indices, and the CoCoSo model was employed for ranking the districts. This approach aimed to determine the relative importance of the indices and the resilience level of each district with a more objective perspective. The results indicated that the physical-spatial, urban structure, and institutional dimensions had the most significant impact on the resilience level of the districts. According to the findings, District 6 holds the highest level of resilience, as it is characterized by its newly developed urban fabric, favorable access to green spaces and healthcare facilities, and the appropriate responsiveness of local institutions. Conversely, District 8 was identified as the least resilient area due to its deteriorated urban fabric, high building density, and weak institutional collaboration. Overall, Districts 6, 5, and 1 are the most resilient parts of Tabriz, while Districts 8, 3, and 9 are identified as the least resilient. The findings underscore that enhancing urban resilience in Tabriz requires a focus on improving institutional capacities, regenerating deteriorated urban fabrics, and increasing spatial justice in the distribution of urban services. The proposed model can be utilized by urban managers as a decision-support tool for prioritizing policies, resource allocation, and sustainable urban planning.</p>

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Making Urban Areas Resilient: A Model for Policy-Making in Tabriz, Iran

  • 期刊论文

  • 发表日期：

    2026年5月11日

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  • Javad Imani Shamloo,
  • Salva Beheshti Asl,
  • Shaghayegh Aryanpour

摘要

Urban resilience, defined as the capacity of urban systems to anticipate, absorb, adapt, and recover from natural and anthropogenic hazards (such as earthquakes, floods, pandemics, and institutional and managerial crises), is a key pillar for achieving sustainable development. Cities are vulnerable to these hazards due to the complexity of their human, physical, and institutional relationships, necessitating a data-driven and resilient decision-making system. The present research aims to assess the level of resilience across the ten districts of the Tabriz Metropolitan Area and to propose a model for urban decision-making and policymaking to enhance it. In this study, five main dimensions—including physical-spatial, social, infrastructural, urban structure, and institutional—along with 29 indices were identified and analyzed. Data were collected from the Tabriz Comprehensive Plan and through specialized expert questionnaires distributed across the districts. The MEREC method was utilized for weighting the indices, and the CoCoSo model was employed for ranking the districts. This approach aimed to determine the relative importance of the indices and the resilience level of each district with a more objective perspective. The results indicated that the physical-spatial, urban structure, and institutional dimensions had the most significant impact on the resilience level of the districts. According to the findings, District 6 holds the highest level of resilience, as it is characterized by its newly developed urban fabric, favorable access to green spaces and healthcare facilities, and the appropriate responsiveness of local institutions. Conversely, District 8 was identified as the least resilient area due to its deteriorated urban fabric, high building density, and weak institutional collaboration. Overall, Districts 6, 5, and 1 are the most resilient parts of Tabriz, while Districts 8, 3, and 9 are identified as the least resilient. The findings underscore that enhancing urban resilience in Tabriz requires a focus on improving institutional capacities, regenerating deteriorated urban fabrics, and increasing spatial justice in the distribution of urban services. The proposed model can be utilized by urban managers as a decision-support tool for prioritizing policies, resource allocation, and sustainable urban planning.