سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / International Conference on Artificial Intelligence; City, Industry and Health

Bibliometric Analysis of Artificial Intelligence Applications in Smart Cities with an Emphasis on Resource Management and Sustainability

نویسندگان :

Reyhaneh Bidram¹ Somayeh Salehi²

1- Department of management, Na.C., Islamic Azad University, Najafabad, Iran 2- Department of management, Na.C., Islamic Azad University, Najafabad, Iran

کلمات کلیدی :

Artificial Intelligence،Smart Cities،Sustainability،Resource Management،Internet of Things

چکیده :

With the rapid growth of urbanization and the surge in environmental concerns, the formation of smart cities is a new model for maximizing the use of resources and achieving urban sustainability. Artificial intelligence (AI) in its ability to analyze and process huge volumes of data plays a key role in facilitating efficiency, reducing the consumption of resources, and guiding evidence-based decision-making within such an environment. This study aims to identify the conceptual framework, research trends, and knowledge gaps in existing knowledge in AI applications in smart cities, with a particular emphasis on resource management and sustainability. Adopting a scientometric method, this study analyzed 261 peer-reviewed articles on the ScienceDirect database from 2015 to 2025. Bibliometric data was analyzed using VOSviewer software using keywords co-occurrence analysis, conceptual clustering, and temporal trend analysis. The results show there has been a substantial amount of academic production in the last few years with keywords such as Internet of Things (IoT), machine learning, cloud computing, and energy management prominent. Moreover, eight different conceptual clusters were generated to signify the integrative and interdisciplinary nature of this area of research. Geographic analysis also indicated that scientific production is heavily sourced from developed countries, with developing nations exhibiting minimal activity. Through depicting a general overview of the intellectual landscape of AI-driven smart city sustainability, this study offers valuable insights to inform future research agendas, shape urban innovation initiatives, and assist in formulating smart strategies for effective urban resource management.