Economic Geography Research

Economic Geography Research

Analysis of the Relationships between Smartization and Urban Resilience in Khorramabad

Document Type : Articles extracted from Thesis

Authors
saeed fotouhi 1
amir hoseinian rad 2
saeed yazdani 3
1 PhD student ,Department of urban planning , Bo.c ., Islamic Azad university, Borujerd ,Iran.
2 Assistant Professor, Department of Geography, Faculty of Literature and Humanities, University of Lorestan, Khorramabad, Iran
3 Assistant professor .Department of urban planning ,Ha.c., Islamic Azad university ,Hamedan, Iran.
10.30470/jegr.2025.2048851.1258
Abstract
The concept of smart urbanization has emerged in recent decades as an innovative solution for improving the quality of life and optimizing resource management in cities. The main objective of this study is to identify the dimensions of smart technologies that enhance the resilience of Khorramabad against challenges and crises. To this end, both qualitative and quantitative research methods were employed, and the necessary data were collected through questionnaires and interviews with experts. The analysis of the relationships between smart urbanization and urban resilience in Khorramabad was conducted using the PLS model, focusing on social-economic, managerial, and physical-environmental dimensions. The results indicated that the most significant variable of smart urbanization in Khorramabad's social-economic dimension for resilience is the increase in citizen participation in decision-making, followed by the number of jobs created through new technologies, with factor loadings of 0.806 and 0.796, respectively. In the physical-environmental dimension, the assessment of infrastructure quality using smart technologies and the improvement of transportation systems through applications play a key and effective role in urban resilience, with factor loadings of 0.832 and 0.826, respectively. In the managerial dimension, the most impactful variables are the responsiveness to citizen needs through monitoring systems and addressing public requests, as well as improving planning using big data, with factor loadings of 0.873 and 0.771, respectively. The results of the PLS model indicate that the standardized regression coefficients for the impact of each dimension-social-economic, physical-environmental, and managerial-on urban resilience are 4.67, 3.56, and 3.52, respectively. These results demonstrate that each of the studied dimensions has a positive and significant impact on the urban resilience of Khorramabad.
Keywords
Smart city
resilience
influential dimensions
economic sustainability
Khorramabad

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Economic Geography Research
Volume 6, Issue 22
Autumn 2025
Pages 1-16

  • Receive Date 24 December 2024
  • Revise Date 20 March 2025
  • Accept Date 07 April 2025