Investigate and comparison of urban smart-making indicators in Yazd

Subject Areas : Land

Samira Alizadeh Moghadam ¹ , Malihe Zakerian ²

1 - M.Sc. of Urbanization, Yazd Branch, Islamic Azad University, Yazd, Iran
2 - Assistant Professor, Department of Geography, Meybod Branch , Islamic Azad University, Meybod, Iran

Received: 2021-09-26 Accepted : 2022-03-22 Published : 2022-03-01

Keywords: Yazd, indicator, Regions, Smart city,

Abstract :

Background and objective:The rapid growth of the world's population is a factor in focusing on smart cities; the smart city's ultimate goal is to achieve a clean, healthy, safe, and sustainable city. The biggest challenge of smart city policies is to consider the low importance of smart urban growth indicators. Given that several plans are currently being implemented to make Yazd smart, it is necessary to develop smart urban growth indicators to achieve this goal. The Yazd can be known as a city with the opportunity and potential for smart growth by considering its unique architecture and the people's lives model from the past until now; the history of this goes back to the distant past The purpose of the present study was to evaluate the indicators of smart cities in regions of Yazd. This research is practical in terms of purposeMaterials and methods: The method of data collection is through a questionnaire. The statistical population was Yazd citizens, and according to Cochran's formula, it was 384 people. Data are analyzed using AHP techniques. The research results show that the regions of Yazd are in a different situation in terms of smart city indicators.Results and conclusion:The important principles are the difference of smart-making indicators in the five regions of Yazd, so that region 3 with a numerical 0.415 is in the first rank and region 2 with a numerical 0.148 in the fifth rank and in the most unfavorable conditions of urban smart growth indicators Hooshmand that needs to study the regions to remove obstacles and limitations and use the opportunities according to the level of indicators in the regions

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