<p>The urban energy network is crucial to preserving the functionality of cities. The spatial resilience of energy networks in urban areas is crucial for having dynamic capacity to cope with disturbance and thresholds on spatial scales of cities. This study aims to analyze the spatial resilience of urban energy networks within the spatial area of Ahvaz, Iran, a city significantly impacted by climate change in recent years. Regarding this, we used a two round Delphi method, Fuzzy multi criteria decision making model, and Arc GIS for identifying, prioritizing and analyzing indicators and mapping spatial resilience of urban energy networks. The findings indicate that the spatial resilience capacity of the urban energy network, particularly in major parts of the central areas of the city, is significantly deficient in terms of spatial distribution and spatial adaptation indicators, resulting in heightened vulnerability. Specifically, considering the degradation of urban physical texture and energy infrastructure, coupled with high population density, the analysis reveals that the spatial distribution of resilience within the urban energy network lacks the essential characteristics necessary for effective resilience capabilities, such as planning and absorption capabilities. Furthermore, in terms of spatial adaptation, the urban energy network exhibits insufficient capabilities regarding recovery and adaptation. The study underscores the necessity of the urban physical and infrastructure renovation to mitigate vulnerability and reaching spatial resilience in Ahvaz that impacted by diverse climate change occurrences.</p>

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Spatial resilience of urban energy networks in Ahvaz, Iran

  • H. Alizadeh,
  • A. Lotfata

摘要

The urban energy network is crucial to preserving the functionality of cities. The spatial resilience of energy networks in urban areas is crucial for having dynamic capacity to cope with disturbance and thresholds on spatial scales of cities. This study aims to analyze the spatial resilience of urban energy networks within the spatial area of Ahvaz, Iran, a city significantly impacted by climate change in recent years. Regarding this, we used a two round Delphi method, Fuzzy multi criteria decision making model, and Arc GIS for identifying, prioritizing and analyzing indicators and mapping spatial resilience of urban energy networks. The findings indicate that the spatial resilience capacity of the urban energy network, particularly in major parts of the central areas of the city, is significantly deficient in terms of spatial distribution and spatial adaptation indicators, resulting in heightened vulnerability. Specifically, considering the degradation of urban physical texture and energy infrastructure, coupled with high population density, the analysis reveals that the spatial distribution of resilience within the urban energy network lacks the essential characteristics necessary for effective resilience capabilities, such as planning and absorption capabilities. Furthermore, in terms of spatial adaptation, the urban energy network exhibits insufficient capabilities regarding recovery and adaptation. The study underscores the necessity of the urban physical and infrastructure renovation to mitigate vulnerability and reaching spatial resilience in Ahvaz that impacted by diverse climate change occurrences.