Analysis of Thematic Trends of Smart City Studies in the Recent Decade (From the Emergence of the Fourth Industrial Revolution to 2021)

Noruzi, Alireza, Vasfi, Mohammad Reza and Baghiabadi, Somayyeh Jafari Analysis of Thematic Trends of Smart City Studies in the Recent Decade (From the Emergence of the Fourth Industrial Revolution to 2021). Technology Development, 2022, vol. 19, n. 73, pp. 10-18. [Journal article (Paginated)]

[thumbnail of Smart-City.pdf]
Preview
Text
Smart-City.pdf

Download (1MB) | Preview

English abstract

The fourth industrial revolution, with the convergence of new technologies, has led to the emergence of smart cities. While the smartening of cities by governments has been happening at a high speed, the concept and implementation of the smart city are still being updated and changed. In this regard, the current research aims to analyze the thematic trends of publications on smart cities in the Web of Science (WoS) database from the emergence of the fourth industrial revolution to 2021 and track the thematic trends of these studies. This scientometric research was carried out descriptively with the content analysis method, using the techniques of co-occurrence analysis and social network analysis. The trends of publications and citation influence of studies in the field of smart cities in the last decade have had an upward growth of 38.78% and 69.49%, respectively. In the three time periods, "IoT, City, Internet, and Wireless Sensor Network" have the most frequency, "IOT, City, Internet, and Wireless Sensor Network" have the most connections, and "ipv6, Sustainable City, and Urban Development" in 2012–2015, "Taxonomy, cloud objects and distributed computing" in 2016–2018 and "literature review, urban informatics, and sustainable urban development" in 2019-2021 have received the most citations. In 2012–2015, clusters of sensor networks, smartphones, genetic algorithms, advanced sensors, ubiquitous city, and m2m; in 2016-2018 clusters of deep learning, participation, evolutionary algorithms, ubiquitous computing, and smart cities; and in 2019-2021 blockchain clusters, participation citizenship, IoT, topics, technologies and tools, multi-agent systems, and Brazil were identified.

Item type: Journal article (Paginated)
Keywords: Smart city, The Fourth Industrial Revolution, Science survey, Co-occurrence of words, Social network analysis
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
H. Information sources, supports, channels. > HT. Web 2.0, Social networks
L. Information technology and library technology > LZ. None of these, but in this section.
Depositing user: Dr. Alireza Noruzi
Date deposited: 19 May 2023 09:57
Last modified: 19 May 2023 09:57
URI: http://hdl.handle.net/10760/44368

References

1. Reichental, J. Smart cities for dummies. John Wiley & Sons, 2020.

2. Reichental, J. Smart cities in simple language. Translated by Amin Faraji, Amin Khorak, Somayeh Jafari and Maryam Moghadami. University of Tehran, 2022.

3. Ghanbari, H. Structural modeling of smart city theory based on good urban governance in Iran (case study: Tabriz Municipality). PhD thesis, Tabriz University, Faculty of Planning and Environmental Sciences, 2016.

4. Jafari Baghiabadi, S., Noruzi, A., Vasfi, M. R., Moradi, S. The need to share inter-organizational knowledge in smartening information and knowledge organizations and centers in smart cities. Library and Information Science Research, 2022.

5. Eremia, M., Toma, L. and Sanduleac, M. The smart city concept in the 21st century. Procedia Engineering, 181, pp.12-19, 2017.

6. Witkowski, K. (2017). Internet of things, big data, industry 4.0–innovative solutions in logistics and supply chains management. Procedia engineering, 182, 763-769.

7. Ramaswamy, R., & Madakam, S. The state of art: Smart cities in India: A literature review report. International Journal of Innovative Research and Development, II, 12, 115-119, 2013.

8. Farshid, R., Abedi, Y., & Jafari, S. Small-Data and Its Application among Various Scientific Areas: A Scientometric Study. Scientometrics Research Journal, 8(15), 255-281, 2022.

9. Toli, A.M. and Murtagh, N. The concept of sustainability in smart city definitions. Frontiers in Built Environment, 6, p.77. 2020.

10. Zhang, C. Design and application of fog computing and Internet of Things service platform for smart city. Future Generation Computer Systems, 112, pp.630-640. 2020.

11. Tabrizchi, H. and Kuchaki Rafsanjani, M. A survey on security challenges in cloud computing: issues, threats, and solutions. The journal of supercomputing, 76(12), pp.9493-9532, 2020.

12. Yigitcanlar, T. and Cugurullo, F. The sustainability of artificial intelligence: An urbanistic viewpoint from the lens of smart and sustainable cities. Sustainability, 12(20), p.8548, 2020.

13. Leogrande, A., Magaletti, N., Cosoli, G. and Massaro, A. Fixed Broadband Take-Up in Europe. Available at SSRN 4034298, 2022.

14. Moradi, S. The Thematic study of Research in the Smart City Scope. Scientometrics Research Journal, 5(9), 139-160, 2019.

15. Barangi, H., Raji, F., & Khasseh, A. Blockchain Security and Privacy Research Analysis: A bibliometric study. Soft Computing Journal, 9(1), 40-55, 2021.

16. Mousavi, P., Salehan, A., & Yousefi Zenouza, R. Identifying the Research Trends and Subfields of Blockchain Technology. BI Management Studies, 10(39), 127-162, 2022.

17. Najafi, N., Asemi, A., CheshmehSohrabi, M., Shabani, A. Scientific articles in "Internet of Things": A bibliometric and co-word analysis in MEDLINE. Payesh 2018; 17 (5):507-520, 2018.

18. Zhao, L., Tang, Z. Y., & Zou, X. Mapping the knowledge domain of smart-city research: A bibliometric and scientometric analysis. Sustainability, 11(23), 6648, 2019.

19. Zheng, C., Yuan, J., Zhu, L., Zhang, Y., & Shao, Q. From digital to sustainable: A scientometric review of smart city literature between 1990 and 2019. Journal of Cleaner Production, 258, 120689, 2020.

20. Wu, Z., Jiang, M., Li, H., & Zhang, X. Mapping the knowledge domain of smart city development to urban sustainability: a scientometric study. Journal of Urban Technology, 28(1-2), 29-53, 2021.

21. Kamran, M., Khan, H. U., Nisar, W., Farooq, M., & Rehman, S. U. Blockchain and Internet of Things: A bibliometric study. Computers & Electrical Engineering, 81, 106525, 2020.

22. Zhou, L., Zhang, L., Zhao, Y., Zheng, R., & Song, K. (2021). A scientometric review of blockchain research. Information Systems and e-Business Management, 19(3), 757-787, 2021.

23. Kipper, L. M., Furstenau, L. B., Hoppe, D., Frozza, R., & Iepsen, S. (2020). Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis. International Journal of Production Research, 58(6), 1605-1627.

24. Zeighami, R., Bagheri Nesami, M., Haqdoost, F., & reminder, M. Content analysis. Iranian Nursing Quarterly, 21 (53), 41-52, 2008.

25. Noroozi Chakoli, A. Note from the Editor-in-Chief: Corona Crisis, Virtual Research, and Virtual Scientometrics. Scientometrics Research Journal, 5(10), 1-2, 2019.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item