Examination the Level of Realization of Indicators Smartness in Urmia City

Subject Areas : Architecture and urbanization

Saber Mohammadpoor ¹ , Mohammad Shali ² , Sajad Nikoui ³ , Behrouz Mohammadrezapour ⁴

1 - Associate Professor, Department of Urban Planning, Guilan University, Rasht, Iran
2 - Assistant Professor, Department of Regional Planning, Academic Jihad Daneshghahi Development & Planning Research Institute, Tabriz, Iran
3 - M.A in Urban Planning, Faculty of Arts, Siraj Institute of Higher Education, Tabriz, Iran
4 - M.A in Urban Planning, Faculty of Arts, Bojnord University, Bojnord, Iran

Received: 2023-04-25 Accepted : 2023-09-20 Published : 2025-02-19

Keywords: Indicators Smartness, Technology Development, Smart City, Urban Environment, Urmia City,

Abstract :

Introduction: As the globe is taken aback by the ever-increasing expansion and development of urban areas, a conundrum the effects of which have become more pronounced with the corresponding heightened levels of environmental pollution and degradation, improper use of land and the formation of out-of-place structures in varying avenues of life, the notion of smart city is making way in the minds of managers and planners as an irreplaceable solution for alleviating urban problems of special concern should be placed.

Research Aim: The purpose of the current study is to examine, and hence rank, the regions of Urmia city based on smart city indicators.

Methodology: The current research is an applied study that employs a descriptive-analytical design for its purposes. The indicators used in this include smart transportation, smart economy, smart environment, smart governance, smart life and smart citizen, all if which were identified and defined using library studies. Online web-administered questionnaires on statistical population of 410 people, along with other field surveying methods, were used to collect data. The Cronbach's alpha coefficient of the questionnaire was calculated to 0.917. The status and priority of each of the smart city indicators were analyzed based on one-sample t-tests, single-variable regression, and VIKOR multi-criteria decision-making model.

Studied Area: The 5 districts of Urmia city are the geographical territory of this research.

Results: The findings of the research revealed that the indicators of smart citizen, smart economy, smart life, smart governance, and smart transportation scored higher than the average while the indicator of the smart environment attained a score lower than the average. Also, there is a significant difference between the regions of Urmia city in terms smart city indicators, such that, regions 5 and 1 were shown to exhibit more favorable indicators, while region 2 showed a rather unfavorable condition.

Conclusion: That is, the city planners and urban managers of Urmia are recommended according to the findings of the present research to develop the infrastructures of communication and technological networks in all regions of Urmia city, especially in region 2.

References:

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