Public Communication in Smart Cities: A Bibliometric Analysis

Authors

  • Syahril Department of Government Affairs and Administration, Jusuf Kalla School of Government, Universitas Muhammadiyah Yogyakarta
  • Achmad Nurmandi Department of Government Affairs and Administration, Jusuf Kalla School of Government, Universitas Muhammadiyah Yogyakarta

DOI:

https://doi.org/10.18326/inject.v11i2.6830

Keywords:

Smart City, Bibliometric Analysis, Public Communicatio

Abstract

This study scrutinizes the development of research on public communication in smart cities during the 2016–2024 period through a bibliometric approach. Drawing on bibliometric analysis, it identifies the mapping of publication trends, knowledge structures, thematic developments, and the transformation of research paradigms related to public communication within smart city studies. It shows that research on public communication in smart cities has grown significantly since 2016. Early studies were primarily dominated by themes related to information and communication technologies (ICT), the Internet of Things (IoT), big data, digital platforms, and smart governance systems. Over time, research trends shifted toward issues of citizen participation, transparency, digital inclusion, sustainability, privacy, cybersecurity, and ethical governance. The bibliometric analysis also reveals that the United States, China, and the United Kingdom are the countries with the highest publication contributions. Furthermore, the thematic synthesis identified five major research clusters: Digital Communication Infrastructure, Smart Governance and Citizen Participation, Sustainability and Urban Communication, Security and Privacy, and Human-Centered Smart Cities. This study confirms that public communication in smart cities is no longer limited to the dissemination of digital information but has evolved into a multidimensional governance approach that integrates citizen engagement, transparency, sustainability, digital ethics, and participatory communication within the broader framework of smart urban transformation.

References

Abdel-Razek, S. A., Marie, H. S., Alshehri, A., & Elzeki, O. M. (2022). Energy Efficiency through the Implementation of an AI Model to Predict Room Occupancy Based on Thermal Comfort Parameters. Sustainability (Switzerland), 14(13). https://doi.org/10.3390/su14137734

Ahad, M. A., Paiva, S., Tripathi, G., & Feroz, N. (2020). Enabling technologies and sustainable smart cities. Sustainable Cities and Society, 61, 102301. https://doi.org/10.1016/j.scs.2020.102301

Alanazi, F. (2023). Development of Smart Mobility Infrastructure in Saudi Arabia: A Benchmarking Approach. Sustainability (Switzerland), 15(4). https://doi.org/10.3390/su15043158

Alharbi, S., Attiah, A., & Alghazzawi, D. (2022). Integrating Blockchain with Artificial Intelligence to Secure IoT Networks: Future Trends. Sustainability (Switzerland), 14(23). https://doi.org/10.3390/su142316002

Alizadeh, H., & Sharifi, A. (2023). Toward a societal smart city: Clarifying the social justice dimension of smart cities. Sustainable Cities and Society, 95, 104612.

Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence, and smart cities. Cities, 89, 80–91. https://doi.org/10.1016/j.cities.2019.01.032

Allam, Z., Sharifi, A., Bibri, S. E., Jones, D. S., & Krogstie, J. (2022). The Metaverse as a Virtual Form of Smart Cities: Opportunities and Challenges for Environmental, Economic, and Social Sustainability in Urban Futures. Smart Cities, 5(3), 771–801. https://doi.org/10.3390/smartcities5030040

Anthopoulos, L., & Kazantzi, V. (2022). Urban energy efficiency assessment models from an AI and big data perspective: Tools for policy makers. Sustainable Cities and Society, 76. https://doi.org/10.1016/j.scs.2021.103492

Bibri, S. E., & Allam, Z. (2022). The Metaverse as a Virtual Form of Data-Driven Smart Urbanism: On Post-Pandemic Governance through the Prism of the Logic of Surveillance Capitalism. Smart Cities, 5(2), 715–727. https://doi.org/10.3390/smartcities5020037

Biesaga, M., Domaradzka, A., Roszczyńska-Kurasińska, M., Talaga, S., & Nowak, A. (2023). The effect of the pandemic on European narratives on smart cities and surveillance. Urban Studies, 60(10), 1894–1914. https://doi.org/10.1177/00420980221138317

Bokhari, S. A. A., & Myeong, S. (2022). Use of Artificial Intelligence in Smart Cities for Smart Decision-Making: A Social Innovation Perspective. Sustainability (Switzerland), 14(2), 620. https://doi.org/10.3390/su14020620

Bradley, F. (2022). Representation of Libraries in Artificial Intelligence Regulations and Implications for Ethics and Practice. Journal of the Australian Library and Information Association, 71(3), 189–200. https://doi.org/10.1080/24750158.2022.2101911

Braun, T., Fung, B. C. M., Iqbal, F., & Shah, B. (2018). Security and privacy challenges in smart cities. Sustainable Cities and Society, 39, 499–507. https://doi.org/10.1016/j.scs.2018.02.039

Casares, A. P. (2018). The brain of the future and the viability of democratic governance: The role of artificial intelligence, cognitive machines, and viable systems. Futures, 103, 5–16. https://doi.org/10.1016/j.futures.2018.05.002

Chatterjee, S., Kar, A. K., & Gupta, M. P. (2018). Success of IoT in Smart Cities of India: An empirical analysis. Government Information Quarterly, 35(3), 349–361. https://doi.org/10.1016/j.giq.2018.05.002

Chen, Y., Ingram, C., Downey, V., Roe, M., Sripaiboonkij, P., Buckley, C. M., Alvarez, E., Perrotta, C., & Buggy, C. (2024). Pandemic preparedness from the perspective of Occupational Health professionals. Occupational Medicine, 74(1), 93–98. https://doi.org/10.1093/occmed/kqad119

Cugurullo, F. (2020). Urban Artificial Intelligence: From Automation to Autonomy in the Smart City. Frontiers in Sustainable Cities, 2, 38. https://doi.org/10.3389/frsc.2020.00038

Ding, Z., Jiang, S., Xu, X., & Han, Y. (2022). An Internet of Things-based scalable framework for disaster data management. Journal of Safety Science and Resilience, 3(2), 136–152. https://doi.org/10.1016/j.jnlssr.2021.10.005

Dong, M., Wang, G., & Han, X. (2024). Impacts of artificial intelligence on carbon emissions in China: in terms of artificial intelligence type and regional differences. Sustainable Cities and Society, 113, 105682. https://doi.org/10.1016/j.scs.2024.105682

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133(April), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Duncan, A. S. P., & Sterling, J. J. (2023). Smart cities fueled by smart libraries: Implementation and application in an English-speaking Caribbean context. Library Hi Tech News, 40(1), 13–19. https://doi.org/10.1108/LHTN-10-2022-0118

Filiou, D., Kesidou, E., & Wu, L. (2023). Are smart cities green? The role of environmental and digital policies for Eco-innovation in China. World Development, 165, 106212. https://doi.org/10.1016/j.worlddev.2023.106212

Gan, Y.-N., Li, D.-D., Robinson, N., & Liu, J.-P. (2022). Practical guidance on bibliometric analysis and mapping knowledge domains methodology – A summary. European Journal of Integrative Medicine, 56. https://doi.org/10.1016/j.eujim.2022.102203

Gaozhao, D., Wright, J. E., & Gainey, M. K. (2024). Bureaucrat or artificial intelligence: people’s preferences and perceptions of government service. Public Management Review, 26(6), 1498–1525.

Ghadami, N., Gheibi, M., Kian, Z., Faramarz, M. G., Naghedi, R., Eftekhari, M., Fathollahi-Fard, A. M., Dulebenets, M. A., & Tian, G. (2021). Implementation of solar energy in smart cities using an integration of an artificial neural network, a photovoltaic system, and classical Delphi methods. Sustainable Cities and Society, 74, 103149. https://doi.org/10.1016/j.scs.2021.103149

Hammoumi, L., Maanan, M., & Rhinane, H. (2024). Characterizing Smart Cities Based on Artificial Intelligence †. Smart Cities, 7(3), 1330–1345. https://doi.org/10.3390/smartcities7030056

Hartley, K., & Aldag, A. (2024). Public trust and support for government technology: Survey insights about Singapore’s smart city policies. Cities, 154, 105368. https://doi.org/10.1016/j.cities.2024.105368

Heidari, A., Navimipour, N. J., & Unal, M. (2022). Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review. Sustainable Cities and Society, 85, 104089. https://doi.org/10.1016/j.scs.2022.104089

Hu, W., Wang, S., & Zhai, W. (2023). Human-centric vs. technology-centric approaches in a top-down smart city development regime: Evidence from 341 Chinese cities. Cities, 137, 104271. https://doi.org/https://doi.org/10.1016/j.cities.2023.104271

Jagatheesaperumal, S. K., Bibri, S. E., Huang, J., Rajapandian, J., & Parthiban, B. (2024). Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety. Computational Urban Science, 4(1), 10. https://doi.org/10.1007/s43762-024-00120-6

Jamarani, A., Haddadi, S., Sarvizadeh, R., Haghi Kashani, M., Akbari, M., & Moradi, S. (2024). Big data and predictive analytics: A systematic review of applications. Artificial Intelligence Review, 57(7), 176. https://doi.org/10.1007/s10462-024-10811-5

Kahawala, S., Madhusanka, N., De Silva, D., Osipov, E., Mills, N., Manic, M., & Jennings, A. (2024). Hypervector Approximation of Complex Manifolds for Artificial Intelligence Digital Twins in Smart Cities. Smart Cities, 7(6), 3371–3387. https://doi.org/10.3390/smartcities7060131

Kuberkar, S., Singh, S., & Singhal, T. K. (2024). Adoption intention of artificial intelligence-enabled smart city services from the citizens’ perspective. International Journal of Human Capital in Urban Management, 9(1), 29–46. https://doi.org/10.22034/IJHCUM.2024.01.03

Louati, A., Louati, H., Kariri, E., Neifar, W., Hassan, M. K., Khairi, M. H. H., Farahat, M. A., & El-Hoseny, H. M. (2024). Sustainable Smart Cities through Multi-Agent Reinforcement Learning-Based Cooperative Autonomous Vehicles. Sustainability (Switzerland), 16(5), 1779. https://doi.org/10.3390/su16051779

McCrory, L. (2024). A feminist framework for urban AI governance: Addressing challenges for public-private partnerships. Data and Policy, 6, 1–13. https://doi.org/10.1017/dap.2024.69

Mobilio, G. (2023). Your face is not new to me – Regulating the surveillance power of facial recognition technologies. Internet Policy Review, 12(1). https://doi.org/10.14763/2023.1.1699

Moolngearn, P., & Kraiwanit, T. (2024). Implication of Smart Economy Governance: A Perspective of Smart Cities in an Emerging Country. Journal of Governance and Regulation, 13(2 Special Issue), 431–442. https://doi.org/10.22495/jgrv13i2siart18

Moustafa, N. (2021). A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets. Sustainable Cities and Society, 72, 102994. https://doi.org/10.1016/j.scs.2021.102994

Ramu, S. P., Boopalan, P., Pham, Q. V., Maddikunta, P. K. R., Huynh-The, T., Alazab, M., Nguyen, T. T., & Gadekallu, T. R. (2022). Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions. Sustainable Cities and Society, 79, 103663. https://doi.org/10.1016/j.scs.2021.103663

Renukappa, S., Suresh, S., Shetty, N., Gandhi, L., Abdalla, W., Yabbati, N., & Hiremath, R. (2024). The role of smart cities in managing the COVID-19 outbreak in India. Smart and Sustainable Built Environment. https://doi.org/10.1108/SASBE-09-2023-0262

Romberg, J., & Escher, T. (2024). Making sense of citizens’ input through artificial intelligence: A review of methods for computational text analysis to support the evaluation of contributions in public participation. Digital Government: Research and Practice, 5(1), 1–30.

Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2022). Assessing behavioral data science privacy issues in government artificial intelligence deployment. Government Information Quarterly, 39(4), 101679. https://doi.org/10.1016/j.giq.2022.101679

Sepehri, B., Almulhim, A. I., Adibhesami, M. A., Makaremi, S., & Ejazi, F. (2024). Artificial Intelligence Role in Promoting Saudi Arabia’s Smart Cities: Addressing SDGs for Socio-Cultural Challenges. Russian Sociological Review, 23(4), 20–47. https://doi.org/10.17323/1728-192x-2024-4-20-47

Sha, K., & Taeihagh, A. (2024). Designing adaptive policy packages for inclusive smart cities: Lessons from Singapore’s smart nation program. Sustainable Cities and Society, 115. https://doi.org/10.1016/j.scs.2024.105868

Singh, S., Sharma, P. K., Yoon, B., Shojafar, M., Cho, G. H., & Ra, I. H. (2020). Convergence of blockchain and artificial intelligence in IoT networks for the sustainable smart city. Sustainable Cities and Society, 63, 102364. https://doi.org/10.1016/j.scs.2020.102364

Valérie, D., & Pierre, A. G. (2010). Bibliometric indicators: Quality measurements of scientific publication. Radiology, 255(2), 342–351. https://doi.org/10.1148/radiol.09090626

Xia, L., Semirumi, D. T., & Rezaei, R. (2023). A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy. Sustainable Cities and Society, 98(March), 104771. https://doi.org/10.1016/j.scs.2023.104771

Yang, K., & Cho, S. B. (2016a). Towards sustainable smart homes by a hierarchical hybrid architecture of an intelligent agent. Sustainability (Switzerland), 8(10). https://doi.org/10.3390/su8101020

Yang, K., & Cho, S. B. (2016b). Towards sustainable smart homes by a hierarchical hybrid architecture of an intelligent agent. Sustainability (Switzerland), 8(10). https://doi.org/10.3390/su8101020

Yigitcanlar, T., Corchado, J. M., Mehmood, R., Li, R. Y. M., Mossberger, K., & Desouza, K. (2021). Responsible urban innovation with local government artificial intelligence (AI): A conceptual framework and research agenda. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 1–16. https://doi.org/10.3390/joitmc7010071

Yigitcanlar, T., Kankanamge, N., & Vella, K. (2021). How Are Smart City Concepts and Technologies Perceived and Utilized? A Systematic Geo-Twitter Analysis of Smart Cities in Australia. Journal of Urban Technology, 28(1–2), 135–154. https://doi.org/10.1080/10630732.2020.1753483

Yigitcanlar, T., Mehmood, R., & Corchado, J. M. (2021). Green artificial intelligence: towards an efficient, sustainable, and equitable technology for smart cities and futures. Sustainability (Switzerland), 13(16), 8952. https://doi.org/10.3390/su13168952

Yigitcanlar, T., Senadheera, S., Marasinghe, R., Bibri, S. E., Sanchez, T., Cugurullo, F., & Sieber, R. (2024). Artificial intelligence and the local government: A five-decade scientometric analysis on the evolution, state-of-the-art, and emerging trends. Cities, 152, 105151. https://doi.org/10.1016/j.cities.2024.105151

Zhong, Y., Zhong, Y., Zhang, L., & Tang, Z. (2024). The Path to Urban Sustainability: Urban Intelligent Transformation and Green Development—Evidence from 286 Cities in China. Sustainability (Switzerland), 16(23), 10394. https://doi.org/10.3390/su162310394

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Published

2026-05-21

How to Cite

Syahril, & Nurmandi, A. (2026). Public Communication in Smart Cities: A Bibliometric Analysis. INJECT (Interdisciplinary Journal of Communication), 11(2), 1495–1528. https://doi.org/10.18326/inject.v11i2.6830

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