سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

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

Analysis of the Role of Smart Cities in Reducing Air Pollution in Iran's Transitional Metropolises: A Bibliometric Study

نویسندگان :

Sahar Manavi nia¹ Fereshte Ahmadi²

1- PhD Researcher in Urban Planning, Department of Urban Planning, Najafabad Branch, Islamic Azad University, Najafabad, Iran 2- Assistant Professor, Department of Urban Planning, Faculty of Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran (Corresponding Author)

کلمات کلیدی :

Smart City،Air Pollution،Scientometrics،Transitional Metropolises

چکیده :

Air pollution is considered one of the complex and multidimensional challenges facing Iran's transitional metropolises; a challenge with widespread consequences for public health, the environment, and the quality of life of citizens. In recent decades, the concept of the "smart city" has emerged as a novel and technological framework for sustainable urban management and addressing environmental crises, particularly air pollution, gaining significant attention in scientific literature and urban policymaking. The present study, employing a descriptive-analytical approach with an applied objective, analyzes the research structure and trends in this field using scientometrics and bibliometric analysis methods. The research data were extracted from the Scopus database and analyzed using VOSviewer and Bibliometrix software. The findings indicate a rapid growth in scientific production regarding the role of smart cities in reducing air pollution over the past two decades. The results show that developed countries have a significant share in knowledge production and international scientific collaborations, while transitional countries, including Iran, face gaps and voids in knowledge production, localization, and linkage. Overall, by clarifying research and policy perspectives, this study can serve as a basis for informed decision-making in the development of smart solutions to reduce air pollution in transitional metropolises. Furthermore, the use of scientometric methods as a systematic and data-driven approach enables the identification of knowledge gaps, key players, and emerging areas, paving the way for targeted orientations in future research.