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Volume 41, Issue 2 (2026)
GeoRes 2026, 41(2): 95-101 |
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Received: 2026/01/26 | Accepted: 2026/04/27 | Published: 2026/07/9
Received: 2026/01/26 | Accepted: 2026/04/27 | Published: 2026/07/9
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Torkamany I, Joodaki H, Arbabi Sabzevari A. Smart City Feasibility Components in District 22 of Tehran Metropolis. GeoRes 2026; 41 (2) :95-101
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1- Department of Geography and Urban Planning, Is.C. (Islamshahr Campus), Islamic Azad University, Islamshahr, Iran
Abstract (1433 Views)
Aims: Smart city design is a strategy to reduce the problems generated by urban population growth and rapid urbanization. This study aimed to evaluate the feasibility components of a smart city in District 22 of the Tehran metropolis.
Methodology: This survey study was conducted in District 22 of the Tehran metropolitan area from April to October 1404. The study population was 183 experts and urban affairs officials from the Municipality of District 22 of the Tehran metropolis. A questionnaire was used to assess the current situation. A one-sample t-test was used to examine the components of a smart city, regression analysis was used to determine the most effective components, and Pearson's correlation coefficient test was used to measure the correlation between the components.
Findings: The average level of all smart city components in District 22 of the Tehran metropolitan area was average. Based on the average level of dissatisfaction with the smart city components and the regression analysis, smart citizen ranked first, and smart environment ranked sixth. There was a relatively strong significant correlation between the smart city components.
Conclusion: In the smartization of District 22 of Tehran Metropolitan Area, the smart citizen, smart economy, and smart life components are prioritized. The smart economy and smart life components have the highest correlation.
Methodology: This survey study was conducted in District 22 of the Tehran metropolitan area from April to October 1404. The study population was 183 experts and urban affairs officials from the Municipality of District 22 of the Tehran metropolis. A questionnaire was used to assess the current situation. A one-sample t-test was used to examine the components of a smart city, regression analysis was used to determine the most effective components, and Pearson's correlation coefficient test was used to measure the correlation between the components.
Findings: The average level of all smart city components in District 22 of the Tehran metropolitan area was average. Based on the average level of dissatisfaction with the smart city components and the regression analysis, smart citizen ranked first, and smart environment ranked sixth. There was a relatively strong significant correlation between the smart city components.
Conclusion: In the smartization of District 22 of Tehran Metropolitan Area, the smart citizen, smart economy, and smart life components are prioritized. The smart economy and smart life components have the highest correlation.