The assessment of smart city indicators for good governance in the city of Rasht
Subject Areas : Urban and Regional Planning StudiesMorteza Dolati Mileh Sara 1 , alireza poursheykhian 2 * , Hossein Asghari 3 , Sedigheh Hassanimehr 4
1 - Department of Geography, As.C., Islamic Azad University, Astara, Iran
2 - Department of Geography, As.C., Islamic Azad University, Astara, Iran
3 - Department of Geography, As.C., Islamic Azad University, Astara, Iran
4 - Department of Geography, As.C., Islamic Azad University, Astara, Iran
Keywords: Smart City, Urban Management, Governance, Rasht,
Abstract :
Today, cities play a significant role in the economic and social development of communities. With the continuous growth of cities and the increasing population residing in them, urban problems and challenges have gained more attention. These challenges can be observed in various areas, including traffic management, parking management, urban services management, urban infrastructure, optimal use of energy resources, environmental issues, air and water pollution, and ultimately, in improving the quality of life for residents and enhancing urban livability, as well as social and cultural issues. In this context, the smart city concept has emerged as an unparalleled solution to many urban problems. The aim of this research is to evaluate smart city indicators in order to achieve smart urban governance. This research employs a descriptive-analytical method, utilizing library-documentary sources, questionnaires, and field surveys for data collection. The sample size consists of 384 residents of the city of Rasht. Data analysis was conducted using both descriptive and inferential statistics, including mean and standard deviation, one-sample T-test, multiple correlation coefficient, and multivariate regression in SPSS software. This study focuses on the city of Rasht and the current status of smart city indicators. The results indicate that the status of smart urban management indicators is not satisfactory. The average of this indicator in Rasht stands at 2.30, indicating an undesirable condition. The status of the smart city indicator related to the smart economy sub-indicator is satisfactory, with an average of 3.02, while other indicators are below the average of 3. The lowest level of satisfaction is related to the smart governance indicator, which has an average of 1.8. Moreover, based on the results of the one-sample T-test, the status of smart city indicators is significant across all indicators. Furthermore, the multivariate regression analysis identified the most important explanatory indicators for Rasht's smart city, in order of significance: smart people, smart economy, smart transportation, smart living, smart governance, and smart environment. The findings of this research indicate the low status of smart city indicators in Rasht, particularly the low status of smart governance indicators. Today, the approach of smart governance can be introduced as the most effective, cost-efficient, and sustainable method of urban management.
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