智慧城市中人工智能的趋势、应用和挑战的文献计量测绘

IF 1.1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Shilpi Harnal, Gaurav Sharma, Swati Malik, Gagandeep Kaur, Savita Khurana, Prabhjot Kaur, Sarita Simaiya, Deepak Bagga
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引用次数: 4

摘要

导读:城市化的持续发展带来了新的挑战。反过来,这将导致可持续环境倡议的压力,在可用空间不断减少的情况下,需要更多更好的基础设施,并以更实惠的成本提高城市居民的生活质量。智慧城市是解决日益严峻的城市化挑战的一部分。人工智能(AI)等新技术的采用正在改变城市,使城市变得更智能、更快,并预测改善的机会。目的:本研究通过详细的文献计量调查,调查了人工智能在智慧城市不同领域的应用和趋势,并强调了过去30.5年来智能城市中人工智能适应的潜在影响和挑战。方法:本研究使用Scopus数据库收集1991-2021年(7月)期间发表的文献共1925篇。文献计量分析包括文献类型、主题分类、文献增长,以及主要贡献来源、国家、作者和资助赞助者。它还分析了关键词、摘要、标题和大多数被引用文献的特征。结果:本研究的分析结果不仅反映了人工智能技术对智慧城市众多领域的各种应用的重要性,也反映了智能城市各个领域人工智能研究的主要障碍。结论:研究表明,人工智能有能力建设今天和明天的智慧城市,但为了实现互联网城市的顺利发展,必须解决每个地区的潜力、条件和环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bibliometric Mapping of Trends, Applications and Challenges of Artificial Intelligence in Smart Cities
INTRODUCTION: The continued growth of urbanization presents new challenges. This, in turn, will lead to pressure for sustainable environment initiatives, with demands for more and better infrastructure in the diminishing space available and improved quality of life for city dwellers at a more affordable cost. Smart Cities are part of the solution to the growing challenges of urbanization. The adoption of new technologies like artificial intelligence (AI) is transforming cities, making them smarter, faster, and predicting opportunities for improvement. OBJECTIVES: This study is conducting a detailed bibliometric survey to investigate the applications and trends of Artificial Intelligence research for different areas of smart cities and emphasizing the potential effects and challenges of AI adaptation in smart cities over the past 30.5 years. METHODS: For this study, the Scopus database was used to collect a total of 1925 documents published between 1991-2021 (July). The bibliometric analysis includes document types, subject categorization, document growth, as well as top contributing sources, countries, authors, and funding sponsors. It also analyses keywords, abstracts, titles, and characteristics of most cited documents. RESULTS: The analyzed findings of this research study reflect not only the significance of AI technology for various applications within numerous sectors in the smart city but also major obstacles in AI research for various sectors of smart cities. CONCLUSION: The research demonstrates that AI has the ability to construct today’s and tomorrow’s smart cities, but that each region’s potentials, conditions, and circumstances must be addressed in order to achieve a smooth internet city development.
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来源期刊
EAI Endorsed Transactions on Scalable Information Systems
EAI Endorsed Transactions on Scalable Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.80
自引率
15.40%
发文量
49
审稿时长
10 weeks
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