Analysis of the Barriers to Smart City Development Using DEMATEL
This study analyzes the barriers to developing smart cities (SCs) using the decision-making trial and evaluation laboratory (DEMATEL) approach. The primary objective is to identify, classify, and assess the main barriers hindering the progress of SCs. Through an extensive literature review, twelve m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | Urban Science |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2413-8851/8/1/10 |
| _version_ | 1797239193942884352 |
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| author | Anas A. Makki Ammar Y. Alqahtani |
| author_facet | Anas A. Makki Ammar Y. Alqahtani |
| author_sort | Anas A. Makki |
| collection | DOAJ |
| description | This study analyzes the barriers to developing smart cities (SCs) using the decision-making trial and evaluation laboratory (DEMATEL) approach. The primary objective is to identify, classify, and assess the main barriers hindering the progress of SCs. Through an extensive literature review, twelve main barriers were identified. The DEMATEL approach models and analyzes the relationships among these barriers based on expert input. The results reveal that technical problems, a lack of infrastructure, and high costs are classified as cause barriers. Security and privacy concerns and the absence of coordinated planning are classified as effect barriers. This study emphasizes the need for established criteria and iterative development requirements. Although the influence of knowledge and skills gaps and a lack of awareness is less significant, these aspects still require attention. The findings suggest that a comprehensive approach focusing on technical solutions, infrastructure development, strategic planning, and cybersecurity measures can effectively overcome barriers. Regular evaluation of barrier dynamics is crucial for implementing adaptive measures. The results provide decision-makers with a valuable model to address the challenges and foster the efforts of SC stakeholders. |
| first_indexed | 2024-04-24T17:47:39Z |
| format | Article |
| id | doaj.art-c86bc7c6182c4eef921c0c76e53cf124 |
| institution | Directory Open Access Journal |
| issn | 2413-8851 |
| language | English |
| last_indexed | 2024-04-24T17:47:39Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Urban Science |
| spelling | doaj.art-c86bc7c6182c4eef921c0c76e53cf1242024-03-27T14:06:47ZengMDPI AGUrban Science2413-88512024-02-01811010.3390/urbansci8010010Analysis of the Barriers to Smart City Development Using DEMATELAnas A. Makki0Ammar Y. Alqahtani1Department of Industrial Engineering, Faculty of Engineering—Rabigh, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi ArabiaDepartment of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, P.O. Box 80204, Jeddah 21589, Saudi ArabiaThis study analyzes the barriers to developing smart cities (SCs) using the decision-making trial and evaluation laboratory (DEMATEL) approach. The primary objective is to identify, classify, and assess the main barriers hindering the progress of SCs. Through an extensive literature review, twelve main barriers were identified. The DEMATEL approach models and analyzes the relationships among these barriers based on expert input. The results reveal that technical problems, a lack of infrastructure, and high costs are classified as cause barriers. Security and privacy concerns and the absence of coordinated planning are classified as effect barriers. This study emphasizes the need for established criteria and iterative development requirements. Although the influence of knowledge and skills gaps and a lack of awareness is less significant, these aspects still require attention. The findings suggest that a comprehensive approach focusing on technical solutions, infrastructure development, strategic planning, and cybersecurity measures can effectively overcome barriers. Regular evaluation of barrier dynamics is crucial for implementing adaptive measures. The results provide decision-makers with a valuable model to address the challenges and foster the efforts of SC stakeholders.https://www.mdpi.com/2413-8851/8/1/10analysisbarrierscause-and-effect relationshipssmart city developmentDEMATELMCDM |
| spellingShingle | Anas A. Makki Ammar Y. Alqahtani Analysis of the Barriers to Smart City Development Using DEMATEL Urban Science analysis barriers cause-and-effect relationships smart city development DEMATEL MCDM |
| title | Analysis of the Barriers to Smart City Development Using DEMATEL |
| title_full | Analysis of the Barriers to Smart City Development Using DEMATEL |
| title_fullStr | Analysis of the Barriers to Smart City Development Using DEMATEL |
| title_full_unstemmed | Analysis of the Barriers to Smart City Development Using DEMATEL |
| title_short | Analysis of the Barriers to Smart City Development Using DEMATEL |
| title_sort | analysis of the barriers to smart city development using dematel |
| topic | analysis barriers cause-and-effect relationships smart city development DEMATEL MCDM |
| url | https://www.mdpi.com/2413-8851/8/1/10 |
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