Bibliometric Mapping of Trends, Applications and Challenges of Artificial Intelligence in Smart Cities

Shilpi Harnal; Gaurav Sharma; Swati Malik; Gagandeep Kaur; Savita Khurana; Prabhjot Kaur; Sarita Simaiya; Deepak Bagga

doi:10.4108/eetsis.vi.489

Authors

Shilpi Harnal Chitkara University https://orcid.org/0000-0002-7692-2349
Gaurav Sharma Seth Jai Parkash Mukand Lal Institute of Engineering and Technology, Radaur, India https://orcid.org/0000-0002-9306-4227
Swati Malik Chitkara University https://orcid.org/0000-0002-3125-4332
Gagandeep Kaur Chitkara University https://orcid.org/0000-0003-1897-034X
Savita Khurana Seth Jai Parkash Mukand Lal Institute of Engineering and Technology, Radaur, India https://orcid.org/0000-0002-8657-0017
Prabhjot Kaur Chitkara University https://orcid.org/0000-0002-3539-0622
Sarita Simaiya Chitkara University https://orcid.org/0000-0001-7686-8496
Deepak Bagga SafeXplore, Yamuna Nagar, Haryana, India https://orcid.org/0000-0002-1186-1020

DOI:

https://doi.org/10.4108/eetsis.vi.489

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

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.