Introduction: Urban governance is a cornerstone of contemporary cities, shaping their path toward sustainability, resilience, and inclusivity. Its effectiveness depends on responsiveness to technological and socio-spatial transformations that increasingly influence institutional arrangements, spatial organization, and everyday urban practices. The rapid growth of urbanization, coupled with limited citizen participation, underscores the need for smart technologies—such as AI, big data, and IoT—to enhance management and redefine citizens’ roles in decision-making. These innovations enable real-time, predictive, and participatory governance, requiring frameworks that are technologically adaptive, contextually grounded, and socially inclusive. Consequently, a comprehensive study integrating technical developments and public perspectives is essential to guide cities through the complexities of the digital age. The Purpose of the Research: The aim of this study is to investigate the impact of emerging technologies on urban governance and the role of individuals within this urban context. To achieve this, the research is applied in nature and follows a qualitative approach with an inductive reasoning framework, examining how citizens play a more active role in shaping urban policies through the interplay between technological advancements and governance structures. Methodology: A qualitative study with a systematic review was conducted in accordance with the PRISMA 2021 protocol to explore the effects of smart technologies on urban governance. Sources were collected from databases (theoretical literature) and social networks (YouTube for public opinions) to capture both scholarly and public perspectives. After screening, content analysis was performed using ATLAS.ti 9 with coding reliability confirmed through Krippendorff’s alpha (0.821), and the quality of sources was evaluated with the CASP checklist. Bibliometric analysis was also conducted using VOSviewer to identify key research trends and thematic clusters. Findings and Discussion: Clustering of scientific sources revealed the dimensions of smart governance in the previous studies, while the thematic analysis of both literature and public opinions demonstrated the alignment between these two groups. Increased citizen participation and optimization of decision-making generated the most significant changes in social and governance dimensions. Public data also emphasized the need for oversight, law updates, and data privacy. Also, the expansion of digital boundaries shifts political power, which requires safe, cross-border cooperation to ensure oversight, security, and data protection. Overall, urban governance is shifting from traditional models to networked and intelligent ones. Four key clusters—smart cities and urban governance in modern planning, smart infrastructures, the role of big data, and economic growth—highlight the main focus of studies. Public data stresses tangible technological outcomes, whereas scientific literature underlines structural changes. Eleven overarching themes emerged, with the greatest emphasis on social aspects, human empowerment, and citizen participation, enhancing efficiency and accountability. Participatory mechanisms, such as online forums and citizen feedback platforms, foster direct engagement in urban planning, transparency, and collaboration, while concerns remain regarding surveillance, data privacy, and regulatory needs. The transfer of power to citizens, decentralization, and the optimization of decision-making through big data reflect the shift toward digital governance, and future research is encouraged to examine these themes across diverse urban contexts. Conclusion: Bibliometric and public data analyses indicate that smart technologies are transforming urban governance from traditional models to networked and intelligent ones. Four key clusters—smart cities and urban governance in modern planning, smart infrastructures, the role of big data, and economic growth—shape the nature of the literature, and reveal their interconnections with spatial transformation and hybrid urban environments. Public data emphasize tangible outcomes of technology, while scientific literature underlines structural changes and long-term strategic implications. Eleven overarching themes emerged from the data, with the greatest emphasis on social aspects, human empowerment, and citizen participation, enhancing efficiency, accountability, and responsiveness. These transformations improve operational performance and facilitate adaptive decision-making in complex urban environments. Participatory mechanisms, such as online forums, mobile apps, and citizen feedback platforms, foster direct engagement in urban planning, transparency, collaboration, and co-creation of urban solutions, while concerns remain about surveillance, data privacy, inclusivity, and equitable distribution of technological benefits. The transfer of power to citizens, decentralization, and the optimization of decision-making through big data reflect the shift toward digital governance that reshapes institutional boundaries and governance cultures. Future research is encouraged to examine these themes across diverse urban contexts, evaluating the practical realization of these dimensions and their impact on sustainable, resilient, and socially inclusive urban development. |
- AI-Waves Channel. (2024). Cognitive Urban Mobility Planning: AI-driven Solutions [YouTube Video]. Retrieved 2025, Aug. 15, from https://www.youtube.com/watch?v=SFq3zsbd0ls
- Alam, T. (2024). Metaverse of Things (MoT) Applications for Revolutionizing Urban Living in Smart Cities. Smart Cities, 7(5), 2466-2494. https://doi.org/10.3390/smartcities7050096
- Altanlar, A., Eren , I., & Aktan, E. O. (2025). Digital Technologies and Public Life in Istanbul: Socio-demographic Patterns and Urban Implications. Cities, 165. https://doi.org/10.1016/j.cities.2025.106179
- An, Z., & Jiang, Z. (2021). From the Perspective of Jurisprudence View the Application of Urban Image Monitoring Technology and the Application and Improvement of the Information Collection System in This Field. Mathematical Problems in Engineering, 2021(1), 1-15. doi:10.1155/2021/5582906
- Bannister, J., & O’Sullivan, A. (2021). Big Data in the City. Urban Studies, 58(5). doi:https://doi.org/10.1177/00420980211014124
- Carroll, L. S. L. (2017). A Comprehensive Definition of Technology from an Ethological Perspective. Social Sciences, 6(4), 126. https://doi.org/10.3390/socsci6040126
- Champlin, C., Sirenko, M., & Comes, T. (2023). Measuring Social Resilience in Cities: An Exploratory Spatio-temporal Analysis of Activity Routines in Urban Spaces During COVID-19. Cities, 135. doi:https://doi.org/10.1016/j.cities.2023.104220
- Chun, S. A., Kim, D., Cho, J. S., Chuang, M., Shin, S., & Jun, D. (2021). Framework for Smart City Model Composition: Choice of Component Design Models and Risks. International Journal of E-Planning Research (IJEPR), 10(3), 50-69. doi:10.4018/IJEPR.20210701.oa4
- City of Los Angeles. (2021). LA's Smart City Strategy – Smart LA 2028 [Video]. Retrieved 2025, Aug. 16, from https://www.youtube.com/watch?v=23NaWMzkkSU
- Craig, S. G., Hoang, E. C., & Kohlhase, J. E. (2022). Adoption of Technological Change in the Public Sector: Evidence From US States. International Regional Science Review, 46(3), 299-327. https://doi.org/10.1177/01600176221125692
- Cueva-Ortiz, S., & Cruz-Cárdenas, J. (2021). Knowledge Cities: ICT and Urban Components. In International Conference on Applied Human Factors and Ergonomics, Cham: Springer International Publishing. doi:10.1007/978-3-030-80094-9_22
- Cugurullo, F. (2020). Urban Artificial Intelligence: From Automation to Autonomy in the Smart City. Frontiers in Sustainanable Cities, 2. doi:10.3389/frsc.2020.00038
- Das, D. K. (2025). Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review of Literature and Case Studies. Urban Science, 9(3), 72. https://doi.org/10.3390/urbansci9030072
- Digital Engine. (2024). China's Slaughterbots Show WW3 Would Kill Us All [YouTube Video]. Retrieved 2025, Aug. 18, from https://www.youtube.com/watch?v=6D4rsqxqSIc
- DW Shift. (2020). Smart City: How Do You Live in A Smart City? Future Smart City Projects: Surveillance or Utopia? [YouTube Video]. Retrieved 2025, Aug. 13, from https://www.youtube.com/watch?v=VRRPy-yEKRM
- El Adl, A. (2023). From Smart Cities to Cognitive Cities – AI and Cognitive Digital Twins [YouTube Video]. Retrieved 2025, Aug. 15, from https://www.youtube.com/watch?v=RRdietSc3ww
- (2025). Cognitive Cities: The Future of Urban Living [YouTube Video]. Retrieved 2025, Aug. 17, from https://www.youtube.com/watch?v=19HcBrTTMRw
- Ghoreishi, G. S., Parsi, H. R., & Nourian, F. (2021). An Analytical Review on the Theory of Smart Resilient City and Its Applicability. Journal of Fine Arts: Architecture & Urban Planning, 25(4), 55-69. [In Persian] doi: 10.22059/jfaup.2021.329235.672671
- Hameed, A. A. (2019). Smart City Planning and Sustainable Development. In IOP Conference Series: Materials Science and Engineering. IOP Publishing. doi:10.1088/1757-899X/518/2/022042
- Hamghadam, N., Ziāri, K., Hātaminejād, H., Pourahmad, A., & Zangāneh Shahraki, S. (2023). Presenting the Key Driving Forces for the Future of Smart City Governance (Case study: Rasht city). Geographical Studies of Coastal Areas Journal, 4(1), 17-40. [In Persian] doi: 10.22124/gscaj.2023.22422.1174
- Hosseini, S. Z., Raofi, R., Zarabadipour, Z., & Moghadam, S. (2024). The Role of AI in Urben Planning and Development. Soffeh, 34(3), 113-138. [In Persian] doi: 10.48308/sofeh.2024.104799
- Inspire EU. (2021). Location Intelligence for Cities and Regions: Preparing the Ground for Smart Places of the Future [YouTube Video]. Retrieved 2025, Aug. 17, from https://www.youtube.com/watch?v=PyEpEJjoV0U
- Jakonen, O. I. (2025). Smart Cities, Virtual Futures? – Interests of Urban Actors in Mediating Digital Technology and Urban Space in Tallinn, Estonia. Urban Studies, 62(1), 52-68. https://doi.org/10.1177/00420980241245871
- Kimura, A., Haraguchi, H., Yamauchi, Y., & Matsuura, K. (2023). Social System Design Methodology for Transitioning to A New Social Structure–A Holistic Urban Living Lab Approach to the Well-being City. Frontiers in Sociology, 8, 1201504. doi: 10.3389/fsoc.2023.1201504
- LA CityView35. (2021). LA’s Smart City Strategy - SmartLA 2028 [YouTube Video]. Retrieved 2025, Aug. 15, from https://www.youtube.com/watch?v=23NaWMzkkSU
- Leal Filho, W., Mbah, M. F., Dinis, M. A. P., Trevisan, L. V., de Lange, D., Mishra, A., ... & Aina, Y. A. (2024). The Role of Artificial Intelligence in the Implementation of the UN Sustainable Development Goal 11: Fostering Sustainable Cities and Communities. Cities, 150, 105021. doi:10.1016/j.cities.2024.105021
- Ling, x. i., Zhangwei, L., Feng, Y., Liu, X., & Gao, Y. (2023). How Does Digital Transformation Relieve the Employment Pressure in China? Empirical Evidence from the National Smart City Pilot Policy. Humanities and Social Sciences Communications, 10(617), 1. doi:https://doi.org/10.1057/s41599-023-02131-w
- Lu, C., Pang, M., Zhang, Y., Li, H., Lu, C., Tang, X., & Cheng, W. (2020). Mapping Urban Spatial Structure Based on POI (Point of Interest) Data: A Case Study of the Central City of Lanzhou, China. ISPRS International Journal of Geo-Information, 9(2), 92. doi:10.3390/ijgi9020092
- Mahdnejad, H. (2025). Smart City Knowledge Mapping: An Analytical Approach Using VOSviewer. Urban Economics, 10(2), 35-50. [In Persian] doi: 10.22108/ue.2025.145253.1317
- Malekzadeh, N. (2020). Explaining the Typology of Spatial Structure Patterns in Metropolitan Regions of Iran. Unpublished doctoral dissertation, Tarbiat Modares University, Faculty of Art and Architecture, Department of Urban Planning. [In Persian]
- Malekzadeh, N., Dadashpour, H., & Rafieian, M. (1400). The Study of Urban and Regional Spatial Structure in Iran in the Period 1380-1398. Architecture and Urbanism of Iran, 12(1), 37-57. [In Persian] https://sid.ir/paper/414968/fa
- Mansouri, Armin, & Danesh Shahraki, Habibullah. (2022). The Quiddity of Intelligence in Sadr’s Philosophy by Looking at the Intelligence in Psychology. Metaphysical Investigations, 2(4), 31-52. [In Persian] https://sid.ir/paper/410655/en
- Maurer, M., Chang, P., Olafsson, A. S., Møller, M. S., & Gulsrud, N. M. (2023). A Social-ecological-technological System Approach to Just Nature-based Solutions: A Case of Digital Participatory Mapping of Meaningful Places in a Marginalized Neighborhood in Copenhagen, Denmark. Urban forestry & urban greening, 89, 128120. https://doi.org/10.1016/j.ufug.2023.128120
- Meijer, A., & Bolívar, M. P. R. (2015). Governing the Smart City: A Review of the Literature on Smart Urban Governance. International Review of Administrative Sciences, 82(2), 392–408. https://doi.org/10.1177/0020852314564308
- Mora, L., Deakin, M., & Reid, A. (2017). Smart-city Development Paths: Insights from the First Two Decades of Research. In International Conference on Smart and Sustainable Planning for Cities and Regions. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-75774-2_28
- Nahiduzzaman, K., Aldosary, A., & Mohammed, I. (2019). Framework Analysis of E-commerce Induced Shift in the Spatial Structure of A City. Journal of Urban Planning and Development, 11(19). https://doi.org/10.1061/(ASCE)UP.1943-5444.0000512
- Nakano, S., & Washizu, A. (2021). Will Smart Cities Enhance the Social Capital of Residents? The Importance of Smart Neighborhood Management. Cities, 115, 103244. https://doi.org/10.1016/j.cities.2021.103244
- Nouri, A., Fazrzad Behtash, M. R., Estelaji, A., & Ahmadpour, S. (2023). The Model of Smart Urban Governance in Citizen Participation (Case Study: District 12 of Tehran Municipality). Futures Studies Quarterly, 3(2), 116–142. [In Persian] https://sid.ir/paper/1095332/en
- Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. bmj, 372. https://doi.org/10.1136/bmj.n71
- Petsani, D., Sidiropoulos, E., Bamidis, D., Kyriakidis, N., Conti, G., Lizzi, L., & Konstantinidis, E. (2022). A Portable Device for Supporting Autonomous and Healthy Urban Ageing: The PROLONG System. In Conference on Sustainable Urban Mobility. Cham: Springer Nature Switzerland. doi:https://doi.org/10.1007/978-3-031-23721-8_124
- Raut, P. B., & Raut, S. K. (2018). Shrinking Spaces and Emerging Role of Information Technology in India. In REAL CORP 2018–EXPANDING CITIES–DIMINISHING SPACE. Are “Smart Cities” the solution or part of the problem of continuous urbanisation around the globe? Proceedings of 23rd International Conference on Urban Planning, Regional Development and Information. CORP–Compentence Center of Urban and Regional Planning. http://repository.corp.at/id/eprint/474
- Savveli, I., Rigou, M., & Balaskas, S. (2025). From E-Government to AI E-Government: A Systematic Review of Citizen Attitudes. Informatics. 12(3), 98. https://doi.org/10.3390/informatics12030098
- Shah-Hosseini, G. (2021). Explaining and Analyzing the Structures and Mechanisms Driving Informal Processes Leading to Urban Sprawl (Case Study: Tehran Metropolitan Region). Unpublished doctoral dissertation, Tarbiat Modares University, Faculty of Art and Architecture, Department of Urban Planning. [In Persian]
- Shahivandi, A. (2018). The Impact of Modern Information and Communication Technologies on the City Physical and Spatial Structure Using Creative City Approach (Case Study: Isfahan City). Motaleate Shahri, 7(25), 77-90. [In Persian] doi: 10.34785/J011.2018.025
- Shokri Yazdanabad, S., & Safavi, S. A. (2021). The Effect of Cyberspace on the Presence of Public Spaces in the City. Urban Design Discourse a Review of Contemporary Litreatures and Theories, 2(1), 29-40. [In Persian] https://udd.modares.ac.ir/article-40-53387-fa.html
- Shu, Y., Deng, N., Wu, Y., Bao, S., & Bie, A. (2023). Urban Governance and Sustainable Development: The Effect of Smart City on Carbon Emission in China. Technological Forecasting and Social Change, 193, 122643. https://doi.org/10.1016/j.techfore.2023.122643
- Suleyman, M. (2024). What Is an AI Anyway? | TED [Video]. Retrieved 2025, Aug. 12, from https://www.youtube.com/watch?v=KKNCiRWd_j0
- Tan, Y., Kevin C., D., Luke, B., & Farnoosh, R. (2020). Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from A Systematic Review of the Literature. Energies, 13(6). doi:10.3390/en13061473
- Thomas, D. (2016). Placemaking: An Applied Methodology in Urban Design. Translated by Mostafa Behzadfar, Payam Mahmoud Kordestani, and Sanaz Fanaei. Tehran: Organization for the Study and Compilation of Academic Books in the Humanities and Islamic Sciences (SAMT). [In Persian]
- Wang, Y., & Zou, Z. (2010). Spatial Decision Support System for Urban Planning: Case Study of Harbin City in China. Urban Planning and Development, 136(2), 147–153. 1061/(ASCE)0733-9488(2010)136:2(147)
- Wirsbinna, A., Grega, L., & Juenger, M. (2023). Assessing Factors Influencing Citizens’ Behavioral Intention towards Smart City Living. Smart Cities, 6(6), 3093-3111. https://doi.org/10.3390/smartcities6060138
- Wu, D., Xie, Y., & Lyu, S. (2023). Disentangling the Complex Impacts of Urban Digital Transformation and Environmental Pollution: Evidence from Smart City Pilots in China. Sustainable Cities and Society, 88. doi:https://doi.org/10.1016/j.scs.2022.104266
- Wu, N., & Silva, E. A. (2010). Artificial Intelligence Solutions for Urban Land Dynamics: A Review. Planning Literature, 24(3), 246-265. doi:10.1177/0885412210361571
- Yadav, V. (2015). E-Governance and smart cities: Cases of Ahmedabad and Hyderabad. In E-governance for smart cities. Singapore: Springer Singapore. doi:10.1007/978-981-287-287-6_3
- Yilmaz, O. C., & Ertekin, Ö. (2022). A New Era for Urban Actors. International Journal of E-Planning Research, 11(1), 1-19. doi:10.4018/IJEPR.315749
- Yousefi, Z. (2019). Explaining the Role of Information and Communication Technology in the Transformation of the Spatial Structure of Metropolises: A Case Study of Tehran Metropolis. Unpublished doctoral dissertation, Tarbiat Modares University, Faculty of Art and Architecture, Department of Urban Planning. [In Persian]
- Zhou, Y., Tang, Z., Qian, X., & Mardani, A. (2021). Digital Manufacturing and Urban Conservation Based on the Internet of Things and 5G Technology in the Context of Economic Growth. Technological Forecasting and Social Change, 170. https://doi.org/10.1016/j.techfore.2021.120906
|