Ranking of Iranian metropolises based on urban smartness index
Due to widespread urbanization worldwide, the significant increase in population and its continuous growth have led to numerous challenges, particularly in metropolises, where the concentration of resources exacerbates these issues. Addressing these challenges requires scientific research for effect...
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University of Isfahan
2023-05-01
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| Series: | اقتصاد شهری |
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| Online Access: | https://ue.ui.ac.ir/article_28756_20510e00f0adb46e458adc24a2998454.pdf |
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| author | Somayeh Ghiasy Sohrab Delangizan Mohammad sharif Karimi |
| author_facet | Somayeh Ghiasy Sohrab Delangizan Mohammad sharif Karimi |
| author_sort | Somayeh Ghiasy |
| collection | DOAJ |
| description | Due to widespread urbanization worldwide, the significant increase in population and its continuous growth have led to numerous challenges, particularly in metropolises, where the concentration of resources exacerbates these issues. Addressing these challenges requires scientific research for effective city management and planning to enhance residents' quality of life. Consequently, city managers and urban planners have emphasized the importance of smart city initiatives to overcome enhance urban living conditions. A smart city is a multidimensional concept encompassing various metrics. This study aims to assess the level of smartness in Iranian metropolises and introduce a composite index for measuring smartness and then ranking and clustering them. To achieve this, 41 variables related to six smart city indicators, including environment, economy, goverment, life, mobility and people were analyzed in 9 Iranian metropolises over years 1385 -1400. The smart city index was derived using analysis the two-stage principal component analysis (PCA) method in the Eviews software, followed by ranking metropolises based on urban intelligence level using the Friedman and Kendall's W test in SPSS software, and finally clustering them using XLSTAT. The resul indicate that the"environment"index had the most significant impact on smartness indicators. Moreover, among the metropolises in the country, city Tehran ranked highest while city Kermanshah ranked lowest in terms of smart.JEL Classification: C43, C38, O18. |
| format | Article |
| id | doaj-art-edc93f7887a5467c8497416fcd726e7d |
| institution | Kabale University |
| issn | 2588-4867 |
| language | fas |
| publishDate | 2023-05-01 |
| publisher | University of Isfahan |
| record_format | Article |
| series | اقتصاد شهری |
| spelling | doaj-art-edc93f7887a5467c8497416fcd726e7d2025-08-20T03:51:18ZfasUniversity of Isfahanاقتصاد شهری2588-48672023-05-0181477010.22108/ue.2024.140882.128528756Ranking of Iranian metropolises based on urban smartness indexSomayeh Ghiasy0Sohrab Delangizan1Mohammad sharif Karimi2PhD Student, Economics, Razi University, Kermanshah, IranProfessor, Economics, Razi University, Kermanshah, IranAssociate Professor, Economics, Razi University, Kermanshah, IranDue to widespread urbanization worldwide, the significant increase in population and its continuous growth have led to numerous challenges, particularly in metropolises, where the concentration of resources exacerbates these issues. Addressing these challenges requires scientific research for effective city management and planning to enhance residents' quality of life. Consequently, city managers and urban planners have emphasized the importance of smart city initiatives to overcome enhance urban living conditions. A smart city is a multidimensional concept encompassing various metrics. This study aims to assess the level of smartness in Iranian metropolises and introduce a composite index for measuring smartness and then ranking and clustering them. To achieve this, 41 variables related to six smart city indicators, including environment, economy, goverment, life, mobility and people were analyzed in 9 Iranian metropolises over years 1385 -1400. The smart city index was derived using analysis the two-stage principal component analysis (PCA) method in the Eviews software, followed by ranking metropolises based on urban intelligence level using the Friedman and Kendall's W test in SPSS software, and finally clustering them using XLSTAT. The resul indicate that the"environment"index had the most significant impact on smartness indicators. Moreover, among the metropolises in the country, city Tehran ranked highest while city Kermanshah ranked lowest in terms of smart.JEL Classification: C43, C38, O18.https://ue.ui.ac.ir/article_28756_20510e00f0adb46e458adc24a2998454.pdfsmart citycombined intelligence indexprincipal component analysis techniquecluster analysisiranian metropolises |
| spellingShingle | Somayeh Ghiasy Sohrab Delangizan Mohammad sharif Karimi Ranking of Iranian metropolises based on urban smartness index اقتصاد شهری smart city combined intelligence index principal component analysis technique cluster analysis iranian metropolises |
| title | Ranking of Iranian metropolises based on urban smartness index |
| title_full | Ranking of Iranian metropolises based on urban smartness index |
| title_fullStr | Ranking of Iranian metropolises based on urban smartness index |
| title_full_unstemmed | Ranking of Iranian metropolises based on urban smartness index |
| title_short | Ranking of Iranian metropolises based on urban smartness index |
| title_sort | ranking of iranian metropolises based on urban smartness index |
| topic | smart city combined intelligence index principal component analysis technique cluster analysis iranian metropolises |
| url | https://ue.ui.ac.ir/article_28756_20510e00f0adb46e458adc24a2998454.pdf |
| work_keys_str_mv | AT somayehghiasy rankingofiranianmetropolisesbasedonurbansmartnessindex AT sohrabdelangizan rankingofiranianmetropolisesbasedonurbansmartnessindex AT mohammadsharifkarimi rankingofiranianmetropolisesbasedonurbansmartnessindex |