Research Article
Bibliometric Mapping of Trends, Applications and Challenges of Artificial Intelligence in Smart Cities
@ARTICLE{10.4108/eetsis.vi.489, author={Shilpi Harnal and Gaurav Sharma and Swati Malik and Gagandeep Kaur and Savita Khurana and Prabhjot Kaur and Sarita Simaiya and Deepak Bagga}, title={Bibliometric Mapping of Trends, Applications and Challenges of Artificial Intelligence in Smart Cities}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={9}, number={4}, publisher={EAI}, journal_a={SIS}, year={2022}, month={6}, keywords={Artificial Intelligence, Education, Smart cities, Science mapping, Text mining, Data analysis, Artificial Intelligence Trends, Artificial Intelligence Survey, Artificial Intelligence Applications, Artificial Intelligence challenges, Health care, Traffic management, E-governance, Surveillance, Environment, Water management, Energy management, Garbage management, Mobility}, doi={10.4108/eetsis.vi.489} }- Shilpi Harnal
Gaurav Sharma
Swati Malik
Gagandeep Kaur
Savita Khurana
Prabhjot Kaur
Sarita Simaiya
Deepak Bagga
Year: 2022
Bibliometric Mapping of Trends, Applications and Challenges of Artificial Intelligence in Smart Cities
SIS
EAI
DOI: 10.4108/eetsis.vi.489
Abstract
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.
Copyright © 2022 Shilpi Harnal et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
