Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology
Smart cities are included in the literature as a technology-based concept that has been on the agenda in recent years and whose framework is constantly changing with the changes in technology. There are different frameworks and indexes to define the smartness of a city. Smart City Index 2021 publish...
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| Format: | Article |
| Language: | English |
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Sciendo
2023-06-01
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| Series: | Foundations of Computing and Decision Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/fcds-2023-0007 |
| _version_ | 1827894429639245824 |
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| author | Gelmez Emel Özceylan Eren |
| author_facet | Gelmez Emel Özceylan Eren |
| author_sort | Gelmez Emel |
| collection | DOAJ |
| description | Smart cities are included in the literature as a technology-based concept that has been on the agenda in recent years and whose framework is constantly changing with the changes in technology. There are different frameworks and indexes to define the smartness of a city. Smart City Index 2021 published by Institute for Management Development (IMD) and Singapore University of Technology and Design (SUTD) is one of the accepted studies in the world. In the report of Smart City Index 2021, 118 cities are evaluated in five criteria namely health & safety, mobility, activities, opportunities (work & school) and governance. To re-evaluate the cities and compare the results, a Multi-Criteria Decision Making (MCDM) process including Entropy based Complex Proportional Assessment (COPRAS) and Addivite Ratio Assessment (ARAS) methodology is applied in this paper. To prioritize the criteria, entropy weight method is used. 118 cities are ranked both technologically and structurally using the COPRAS and ARAS method. As a result of the analyses, according to these methods, the rankings of the smart cities are the same. Also, when technologically smart cities are listed, it is determined that the first three countries are Zhuhai, Shenzhen, Nanjing, and at the same time, Abu Dhabi, Chongqing, Hangzhou in terms of structurally. |
| first_indexed | 2024-03-12T22:06:30Z |
| format | Article |
| id | doaj.art-d8869e3cce5d41dcb89e78e73148ab69 |
| institution | Directory Open Access Journal |
| issn | 2300-3405 |
| language | English |
| last_indexed | 2024-03-12T22:06:30Z |
| publishDate | 2023-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Foundations of Computing and Decision Sciences |
| spelling | doaj.art-d8869e3cce5d41dcb89e78e73148ab692023-07-24T11:19:58ZengSciendoFoundations of Computing and Decision Sciences2300-34052023-06-0148215318010.2478/fcds-2023-0007Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras MethodologyGelmez Emel0Özceylan Eren11Department of Business Administration, Selçuk University, 42130Konya, Turkey2Department of Industrial Engineering, Gaziantep University, 27100Gaziantep, TurkeySmart cities are included in the literature as a technology-based concept that has been on the agenda in recent years and whose framework is constantly changing with the changes in technology. There are different frameworks and indexes to define the smartness of a city. Smart City Index 2021 published by Institute for Management Development (IMD) and Singapore University of Technology and Design (SUTD) is one of the accepted studies in the world. In the report of Smart City Index 2021, 118 cities are evaluated in five criteria namely health & safety, mobility, activities, opportunities (work & school) and governance. To re-evaluate the cities and compare the results, a Multi-Criteria Decision Making (MCDM) process including Entropy based Complex Proportional Assessment (COPRAS) and Addivite Ratio Assessment (ARAS) methodology is applied in this paper. To prioritize the criteria, entropy weight method is used. 118 cities are ranked both technologically and structurally using the COPRAS and ARAS method. As a result of the analyses, according to these methods, the rankings of the smart cities are the same. Also, when technologically smart cities are listed, it is determined that the first three countries are Zhuhai, Shenzhen, Nanjing, and at the same time, Abu Dhabi, Chongqing, Hangzhou in terms of structurally.https://doi.org/10.2478/fcds-2023-0007smart citymulti-criteria decision makingentropycoprasarassmart city index 2021 |
| spellingShingle | Gelmez Emel Özceylan Eren Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology Foundations of Computing and Decision Sciences smart city multi-criteria decision making entropy copras aras smart city index 2021 |
| title | Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology |
| title_full | Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology |
| title_fullStr | Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology |
| title_full_unstemmed | Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology |
| title_short | Evaluation of the Smart Cities Listed in Smart City Index 2021 by Using Entropy Based Copras and Aras Methodology |
| title_sort | evaluation of the smart cities listed in smart city index 2021 by using entropy based copras and aras methodology |
| topic | smart city multi-criteria decision making entropy copras aras smart city index 2021 |
| url | https://doi.org/10.2478/fcds-2023-0007 |
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