智能城市和人工智能中的政策和治理研究前沿:基于自然语言处理的高级综述

IF 2.4 Q3 ENVIRONMENTAL SCIENCES
Liang Dong, Yunhong Liu
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引用次数: 0

摘要

本研究对智能城市和人工智能背景下的政策和治理研究进行了深入回顾。由于城市在实现联合国可持续发展目标方面发挥着至关重要的作用,了解智能技术和人工智能在促进城市可持续性方面的应用所带来的机遇和挑战至关重要。使用基于三层贝叶斯算法模型的潜在狄利克雷分配(LDA)方法,我们对Scopus的约3700篇论文进行了系统综述。我们的分析揭示了“服务转型”、“社区参与”和“可持续发展目标”等突出主题。我们还发现了新出现的问题,包括“开放用户数据”、“道德与风险管理”和“数据隐私管理”。“这些发现为该领域政策和治理研究的当前进展和前沿提供了宝贵的见解,为未来的研究方向和决策过程提供了信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frontiers of policy and governance research in a smart city and artificial intelligence: an advanced review based on natural language processing
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.
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来源期刊
CiteScore
4.00
自引率
7.10%
发文量
176
审稿时长
13 weeks
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