Frontiers in Sustainable Cities | |
Frontiers of policy and governance research in a smart city and artificial intelligence: an advanced review based on natural language processing | |
Sustainable Cities | |
Liang Dong1  Yunhong Liu2  | |
[1] Department of Public and International Affairs (PIA), City University of Hong Kong, Hong Kong, Hong Kong SAR, China;School of Energy and Environment (SEE), City University of Hong Kong, Hong Kong, Hong Kong SAR, China;Sustainable Development Lab, Centre for Public Affairs and Law (CPAL), City University of Hong Kong, Hong Kong, Hong Kong SAR, China;Shenzhen Research Institute (SRI), City University of Hong Kong, Shenzhen, China;Shenzhen Research Institute (SRI), City University of Hong Kong, Shenzhen, China; | |
关键词: smart city; AI; governance; policy studies; natural language processing; | |
DOI : 10.3389/frsc.2023.1199041 | |
received in 2023-04-02, accepted in 2023-07-04, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
This study presents an advanced review of policy and governance research in the context of smart cities and artificial intelligence (AI). With cities playing a crucial role in achieving the United Nations Sustainable Development Goals, it is vital to understand the opportunities and challenges that arise from the applications of smart technologies and AI in promoting urban sustainability. Using the Latent Dirichlet Allocation (LDA) method based on a three-layer Bayesian algorithm model, we conducted a systematic review of approximately 3700 papers from Scopus. Our analysis revealed prominent topics such as “service transformation,” “community participation,” and “sustainable development goals.” We also identified emerging concerns, including “open user data,” “ethics and risk management,” and “data privacy management.” These findings provide valuable insights into the current progress and frontiers of policy and governance research in the field, informing future research directions and decision-making processes.
【 授权许可】
Unknown
Copyright © 2023 Dong and Liu.
【 预 览 】
Files | Size | Format | View |
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RO202310104980119ZK.pdf | 2682KB | download |