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Multi-Criteria Evaluation of Site Selection for Smart Community Demonstration Projects
- Source :
- Smart Cities, Vol 5, Iss 1, Pp 22-33 (2022)
- Publication Year :
- 2022
- Publisher :
- MDPI AG, 2022.
-
Abstract
- Definition and imagination of an ideal city can be traced back to the origin of garden city in UK about 100 years ago. Since then, many different names and topics have been proposed and smart city is the one most recently proposed. Starting from 2000, more and more countries have developed various demonstration projects for the promotion of smart city in order to provide total solution for the promotion of sustainable development and social welfare. In fact, some of them have been successfully carried out. Some researchers in Taiwan argue that the current mechanism by which government subsidies are allocated for smart city demonstration projects warrants improvement. A comprehensive literature review determined that the development potential of smart cities should be prioritized in site selection for such demonstration projects. This study developed an evaluation framework on the basis of multi-criteria evaluation methods to enable the identification of suitable smart city demonstration sites. Evaluation criteria were first identified through the Delphi method. Next, the weights of each criterion were derived through the analytic hierarchy process. Furthermore, the capability of the proposed evaluation model was determined through simulation testing. Four demonstration sites are simulated, they are: Taipower Smart Community, Yinlin Technology University campus, Taichung Creative Cultural Park, and Asian New Bay Area in Kaohsiung, It is expected that the research findings in this thesis can be helpful to the future decision for the demo site selection of smart city.
Details
- Language :
- English
- ISSN :
- 26246511
- Volume :
- 5
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Smart Cities
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.fdf676797d145d3b9cfed6b4dec384e
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/smartcities5010002