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Volume 40, Issue 4 (2025)                   GeoRes 2025, 40(4): 1001-1013 | Back to browse issues page
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Ahmady H, Amanpour S, Babaei Morad B. Factors Affecting the Resilience of Urban Infrastructure in Ahvaz within the Framework of Smart City Principles Using Structural Equation Modeling (SEM). GeoRes 2025; 40 (4) :1001-1013
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1- , amanpourr@scu.ac.ir
Abstract   (179 Views)
The rapid growth of urbanization and its associated challenges have, in recent decades, emphasized the need to enhance the resilience of urban infrastructure as a key approach in urban planning and management. Smart cities, relying on emerging technologies such as the Internet of Things and big data, were considered an effective means of improving urban resilience. Accordingly, this study aimed to identify the factors influencing urban infrastructure resilience within the framework of smart city principles, focusing on the metropolis of Ahvaz.This applied research adopted a mixed-method approach and was conducted using a survey methodology. In the qualitative phase, key variables were identified through semi-structured interviews with experts. In the quantitative phase, the relationships between smart city components and infrastructure resilience indicators were analyzed using structural equation modeling in SmartPLS. The statistical population consisted of experts from organizations related to urban infrastructure.Qualitative findings indicated that achieving a resilient smart city required strengthening physical, economic, social, and informational dimensions. Intelligent infrastructure managementthrough updating,optimization,information technology development, and the smartening of public servicesplayed a crucial role in enhancing infrastructure resilience. The application of emerging technologies such as IoT, communication networks, and big data improved urban performance efficiency, enhanced citizens quality of life, and promoted environmental sustainability.Quantitative results revealed that the “resilient city” factor had the greatest impact on urban infrastructure resilience, while “social infrastructure” had the least effect. Indicators including physical cohesion, smart transportation and routes, and access to services played the most significant roles. The findings demonstrated that a focus on intelligent infrastructure management and data-driven systems enhanced resilience. The adoption of a smart city approach in Ahvaz contributed to improving urban infrastructure resilience. Physical cohesion, smart transportation, and access to services were identified as key indicators, while smart management and data-driven technologies strengthened urban coordination, sustainability and flexibility.
 
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