Urban Economics and Planning

Urban Economics and Planning

Identifying Key Variables and Smart Governance Scenarios for Tehran City

Document Type : Original Article

Authors
1 Master of Urban Management, School of Urban Planning, University of Tehran, Tehran, Iran
2 Associate Professor, Department of Urban Planning and Management, School of Urban Planning, University of Tehran, Tehran, Iran
Abstract
Introduction 
Due to rapid and unplanned growth, contemporary cities face challenges such as air pollution, traffic congestion, informal construction, and high living costs. In response, many local governments worldwide have turned to “smart city” policies and programs. The emergence of smart cities, stemming from the convergence of advanced information and communication technologies, has provided numerous opportunities and solutions to address modern urban issues. As a technology-driven paradigm, the smart city holds significant potential to tackle environmental problems, enhance productivity, promote economic development, and improve quality of life. Consequently, it has attracted the attention of governments, municipalities, universities, and media outlets. Among the various dimensions of smart city development, “smart governance” plays a fundamental and driving role in organizing and coordinating stakeholders and activating other aspects of smart development. The realization of a smart city is not solely dependent on technological innovations but requires smart governance as a key mechanism to foster the development of other urban dimensions. Despite growing interest in smart governance processes at local and national levels in Tehran, the full and optimal utilization of the transformative capacities of this approach has yet to be achieved. Accordingly, this research aims to identify the key variables influencing smart governance in Tehran and explore potential futures (scenarios) in this domain through a foresight approach. Addressing these questions can be instrumental in advancing and realizing smart governance in Tehran’s future.
Materials and Methods
The present article is descriptive-analytical and applied in purpose. The data and information required for it have been collected using future research methods, questionnaires, and specialized interviews with experts and specialists in urban management and related sciences. This research uses the PESTEL analytical framework to identify and analyze the variables affecting smart governance in Tehran, which covers political, economic, social, technological, environmental, and legal factors.
Also, structural analysis has been carried out using Micmac software to examine the relationships and dependencies of key variables and determine the main variables. Finally, scenarios were developed using the interaction impact assessment method.
Findings
Initially, nineteen variables were identified across political, economic, social, technological, legal, and environmental dimensions. As a result of the structural analysis narrowed the focus to four key variables with the most significant impact, including governance approach (top-down versus bottom-up), financing capacity, infrastructure and technology readiness, and transparency and open data. Based on these insights, four distinct scenarios for Tehran’s smart governance by 2050 were developed: (1) Smart Atlantis – a transparent and innovation-driven future characterized by open data, participatory governance, and fiscal stability; (2) Sustainable Atlantis – a narrative of a sustainable smart city with hybrid governance; (3) Atlantis in Crisis – a city with centralized governance, limited innovation, and increasing social tensions; and (4) Isolated Atlantis – depicting Tehran with centralized governance, technological and economic regression, and no progress toward smart city goals.
Conclusion
This study, through a foresight analysis of smart governance in Tehran based on the PESTEL framework, structural analysis approaches, and scenario planning, identifies the key factors influencing the trajectory of smart city transformation. The research confirms governance as a pivotal determinant in the success of smart governance. It emphasizes the necessity of evolving from centralized, top-down models toward more inclusive participatory frameworks, highlighting the reciprocal reinforcement between transparency, open data, and citizen trust as a fundamental principle of smart governance. Despite global recognition of participatory governance, implementing such models in emerging contexts like Tehran faces indigenous political, economic, and institutional barriers. Consistent with prior research on smart cities in emerging economies, the findings underscore financial and infrastructural challenges as critical constraints that Tehran must address. Contrary to idealized models developed for advanced urban contexts, this study offers a context-sensitive understanding aligned with Tehran’s socio-political realities. The future of smart governance in Tehran depends not only on technological innovations but also on structural reforms, multilateral stakeholder collaboration, and adaptive policymaking. Finally, to explore potential future pathways, this research employs cross-impact analysis based on key variables to develop four narrated scenarios. These scenarios provide strategic insights and preparedness tools for policymakers to better comprehend the complexities of the city’s evolving urban landscape. The scenarios are not predictions but are intended to stimulate imagination and consideration of possible future outcomes. The future will likely be a blend of all four scenarios, and other scenarios beyond these may also exist. We live in an era of global volatility. Given the fluctuations in economies worldwide and the rapid emergence of new technologies, cities face unprecedented challenges in achieving effective governance and sustainable development. Addressing issues such as climate change, biodiversity loss, and health crises necessitates a re-evaluation of urban policies and planning strategies that promote resilient and regenerative urban systems. To realize the full potential of smart governance, decisive actions are required. Although the path to comprehensive digital transformation is not without obstacles, bold and strategic initiatives, breaking down barriers, and prioritizing resilience and inter-organizational collaboration can bridge the gap between public services and the evolving needs of citizens, facilitating a new era of trust and accountability. Ultimately, smart governance is neither a panacea for all problems, nor is the smart city an idealized, flawless vision. Rather, this approach serves as a catalyst, reshaping urban management to empower and enhance community services. The ultimate goal is to leverage this solution to improve urban quality of life and reduce the challenges facing cities. By understanding these complexities, Tehran can advance on the smart city pathway with smart governance, positioning itself as a progressive city responsive to both human well-being and environmental health. Based on this study, it is recommended to converge toward a development model that is more advanced and effective than the fragmented initiatives implemented to date.
Keywords

Subjects


Ahmadi Nohdani, S., Hafeznia, M. R., & Zaeri, H. (2012). Modeling policymaking on smart cities in national and urban dimensions based on cyberspace models. *Political Planning of Space, 2*(3), 161–172. [In Persian]. https://civilica.com/doc/2154425.
Alizadeh, T., & Prasad, D. (2024). The right to the smart city in the Global South: A research agenda. Urban Studies, 61(3), 426–444. https://doi.org/10.1177/00420980231183167.
Breuer, J., Walravens, N., & Ballon, P. (2014). Beyond defining the smart city: Meeting top-down and bottom-up approaches in the middle. Tema: Journal of Land Use, Mobility and Environment. https://doi.org/10.6092/1970-9870/2475.
Castelnovo, W., Misuraca, G., & Savoldelli, A. (2016). Smart cities governance: The need for a holistic approach to assessing urban participatory policymaking. Social Science Computer Review, 34(6), 724–739. https://doi.org/10.1177/0894439315611103.
Cavada, M. (2022). The governance of smart cities. https://doi.org/10.1007/978-3-030-87745-3_249.
ESI. (2018). Smarter cities 2025 - Report. Philadelphia: ThoughtLab. ESI-ThoughtLab_Smarter-Cities-2025_ebook_FINAL.pdf https://econsultsolutions.com/wp-content/uploads/2018/11/.
European Union. (2014). Mapping smart cities in the EU. European Parliament. http://www.europarl.europa.eu/studies.
Firuzpour, A., Pourezat, A. A., Ghalambar, M. A., Rezaian-Gheyebashi, A., & Zolfaghari, Y. (2024). Scenario-based visualization of alternative futures of Tehran city using the method of “Four General Alternative Futures of Detour”. Knowledge of Urban Planning, 8(1), 110–129. [In Persian]. https://doi.org/10.22124/upk.2024.27153.1936.
Gao, Z., Wang, S., & Gu, J. (2020). Public participation in smart-city governance: A qualitative content analysis of public comments in urban China. Sustainability, 12(20), 8605. https://doi.org/10.3390/su12208605.
Ghiyasi, S., Delangizan, S., & Karimi, M. Sh. (2023). Ranking of Iranian metropolises based on urban intelligence index. Urban Economics, 8(1), 47–70. [In Persian]. https://doi.org/10.22108/ue.2024.140882.1285.
Gil-Garcia, J. R. (2012). Enacting electronic government success: An integrative study of government-wide websites, organizational capabilities, and institutions (Vol. 31). Springer Science & Business Media. https://doi.org/10.1007/978-1-4614-2015-6.
Gil-Garcia, J. R., Pardo, T. A., & Nam, T. (2015). What makes a city smart? Identifying core components and proposing an integrative and comprehensive conceptualization. Information Polity, 20(1), 61–87. https://doi.org/10.3233/IP-150354.
Godet, M., Durance, P. H., & Gerber, A. (2008). Strategic foresight (La Prospective): Use and misuse of scenario building. LIPSOR Working Paper (Cahiers du LIPSOR). www.laprospective.fr.
Gholami H, Mirehei M, Javid A. Explaining the model of smart governance with the approach of popular participation in urban decision making (Case study: Tehran). MJSP 2022; 26 (1) :119-139 .[In Persian]. 10.50541/HSMSP.26.1.113.
Hartemink, N., & Nikander, T. (2016). The nature of smart city initiatives: Governance in smart city implementation. Research project, Delft University of Technology, Faculty of Architecture and the Built Environment, Urban Development Management. www.bk.tudelft.nl.
Hashemi, S. A., Rahnejat, M., Sharifzadeh, F., and Saadi, M. R. (2020). Correlation between good governance and smart city (case study: Tehran city). Social and Cultural Strategy, 9(1), 67–90. [In Persian]. 20.1001.1.22517081.1399.9.1.3.6
Hassanbandi, M., Farhadi-Rad, H., & Rahimidoost, G. (2022). Identification and structural analysis of the drivers of good governance in Iranian education using the interaction analysis approach. *Bimonthly Scientific and Research Journal of a New Approach to Educational Management, 13*(2), 87–107. [In Persian]. https://doi.org/10.30495/jedu.2022.27834.5577.
Hatami, A., Sasanpour, F., Asadzadeh, H., & van Bodegom, P. M. (2023). Scenario analyses to reach smart sustainability in Tehran. Journal of Urban Management, 12(4), 385–397. https://doi.org/10.1016/J.JUM.2023.09.002.
Hatami, A. (2020). *Future research on the realization of a sustainable smart approach in metropolitan cities: A case study of Tehran* (Doctoral dissertation, Kharazmi University, Faculty of Geographical Sciences). [In Persian]. https://irandoc.ac.ir.
Jiang, H. (2021). Smart urban governance: Governing cities in the smart era (Doctoral dissertation, Utrecht University). https://research-portal.uu.nl.
Johnston, E., & Hansen, D. (2011). Design lessons for smart governance infrastructures. In D. Ink, A. Balutis, & T. Buss (Eds.), American Governance 3.0: Rebooting the Public Square? National Academy of Public Administration. https://doi.org/10.4324/9781315698601.
Kaiser, Z. R. M. A. (2024). Smart governance for smart cities and nations. Journal of Economy and Technology, 2, 216–234. https://doi.org/10.1016/J.JECT.2024.07.003.
Kumar, T. M. V. (2015). Smart city e-governance: Issues and future. https://doi.org/10.1007/978-981-287-287-6_11.
Kummitha, R. K. R. (2024). Smart city governance: Assessing modes of active citizen engagement. Regional Studies, 1–15. https://doi.org/10.1080/00343404.2024.2399262.
Kummitha, R. K. R. (2019). Smart cities and entrepreneurship: An agenda for future research. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2019.119763.
Lacson, J. J., Lidasan, H. S., Spay Putri Ayuningtyas, V., Feliscuzo, L., Malongo, J. H., Lactuan, N. J., Bokingkito, P., Jr., & Velasco, L. C. (2023). Smart city assessment in developing economies: A scoping review. Smart Cities, 6(4), 1744–1764. https://doi.org/10.3390/smartcities6040081.
Lee, J., Hancock, M., & Hu, M. C. (2014). Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco. Technological Forecasting and Social Change, 89, 80–99. https://doi.org/10.1016/j.techfore.2013.08.033.
Lin, Y. (2018). A comparison of selected Western and Chinese smart governance: The application of ICT in governmental management, participation, and collaboration. Telecommunications Policy, 42(10), 800–809. https://doi.org/10.1016/j.telpol.2018.07.003.
Meijer, A. (2015). E-governance innovation: Barriers and strategies. Government Information Quarterly, 32(2), 198–206. https://doi.org/10.1016/j.giq.2015.01.001.
Meijer, A., & Bolívar, M. P. R. (2016). 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.
Mills, D. E., Izadgoshasb, I., & Pudney, S. G. (2021). Smart city collaboration: A review and an agenda for establishing sustainable collaboration. Sustainability, 13(16), 9189. https://doi.org/10.3390/su13169189.
Mohseni, H. (2021). Public engagement and smart city definitions: A classifying model for the evaluation of citizen power in 2025 Tehran. GeoJournal, 86, 1261–1274. https://doi.org/10.1007/s10708-019-10126-x.
Nam, T., & Pardo, T. A. (2011). Smart city as urban innovation: Focusing on management, policy, and context. In E. Estevez & M. Janssen (Eds.), Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance (ICEGOV2011) (pp. 185–194). ACM Press. https://doi.org/10.1145/2072069.2072100.
Nenciu, G. (2016). Exploring the value enabled by big open and linked data in smart cities: A foresight study for the smart cities Rotterdam and The Hague (Master’s thesis, Delft University of Technology). https://research.tudelft.nl.
Noori, N., Jong, W. M., & Hoppe, T. (2020). Towards an integrated framework to measure smart city readiness: The case of Iranian cities. Smart Cities, 3, 676–704. https://doi.org/10.3390/smartcities3030035.
Ojo, A., Curry, E., & Zeleti, F. A. (2015). A tale of open data innovations in five smart cities. Proceedings of the System Sciences (HICSS), 2015 48th Hawaii International Conference on. https://doi.org/10.1109/HICSS.2015.280.
Ooms, W., Caniëls, M. C. J., Roijakkers, N., et al. (2020). Ecosystems for smart cities: Tracing the evolution of governance structures in a Dutch smart city initiative. International Entrepreneurship and Management Journal, 16, 1225–1258. https://doi.org/10.1007/s11365-020-00640-7.
Rocco, R. (2012). Issues of governance in spatial planning. TU Delft. Retrieved from https://issuu.com/robertorocco/docs/issues_of_governance_in_regional_planning.
Roohi, P. (2022). Experiences in ICT governance in metropolitan municipalities, Tehran Metropolitan City. Danesh Shahr, 784 [In Persian]. https://rpc.tehran.ir/.
Ruhlandt, R. W. S. (2018). The governance of smart cities: A systematic literature review. Cities, 81, 1–23. https://doi.org/10.1016/j.cities.2018.02.014.
Secretariat and Center of Smart Tehran. (2016). Local strategic document of Smart Tehran [In Persian]. Tehran Municipality, ICT Organization. https://rpc.tehran.ir/.
Scholl, H. J., & Scholl, M. C. (2014). Smart governance: A roadmap for research and practice. iConference 2014 Proceedings (pp. 163–176). https://doi.org/10.9776/14060.
Shahbazin, S. (2024). Collection and analysis of migration data in Tehran city according to 22 regions; status, challenges and policy solutions. Danesh Shahr, 944 [In Persian]. https://rpc.tehran.ir/.
Shu, Y., Deng, N., Wu, Y., Bao, S., & Bie, A. (2023). Urban governance and sustainable development: The effect of smart city on carbon emissions in China. Technological Forecasting and Social Change, 193, 122643. https://doi.org/10.1016/j.techfore.2023.122643.
Tan, S. Y., & Taeihagh, A. (2020). Smart city governance in developing countries: A systematic literature review. Sustainability, 12(3), 899. https://doi.org/10.3390/su12030899.
Tomor, Z., Przeybilovicz, E., & Leleux, C. (2021). Smart governance in institutional context: An in-depth analysis of Glasgow, Utrecht, and Curitiba. Cities. https://doi.org/10.1016/j.cities.2021.103195.
Tori, S., Boveldt, G. T., & Keseru, I. (2023). Building scenarios for urban mobility in 2030: The combination of cross-impact balance analysis with participatory stakeholder workshops. Futures, 150, 103160. https://doi.org/10.1016/j.futures.2023.103160.
United Cities and Local Governments (UCLG). (2019). Smart cities study: International study on the situation and future trends in smart governance. UCLG Community of Practice on Digital Cities. Coordinated by the Bilbao City Council. https://www.old.uclg.org.
United Nations Human Settlements Programme (UN-Habitat). (2022). Global review of smart city governance practices. United Nations Human Settlements Programme (UN-Habitat). Retrieved from https://unhabitat.org/.
Van Dijk, M. P., Edelenbos, J., & Van Rooijen, K. (Eds.). (2017). Urban governance in the realm of complexity. Warwickshire, UK: Practical Action Publishing. https://doi.org/10.3362/9781780449685.001.
Wang, Z. (2024). Road to human-centric smart city governance in Japan: The case of Fujisawa sustainable smart town. Global Policy, 15(Suppl. 6), 84–91. https://doi.org/10.1111/1758-5899.13434.
Weimer-Jehle, W. (2006). Cross-impact balances: A system-theoretical approach to cross-impact analysis. Technological Forecasting & Social Change, 73, 334–361. https://doi.org/10.1016/j.techfore.2005.06.005.
Zali, N., Soltani, A., Najafi, P., et al. (2024). Digital twins for smarter Iranian cities: A future studies perspective. Computational Urban Science, 4, 43. https://doi.org/10.1007/s43762-024-00155-9.
Volume 6, Issue 2
Spring 2025
Pages 224-241

  • Receive Date 13 March 2025
  • Revise Date 25 May 2025
  • Accept Date 27 May 2025