Identification and Futuristic analysis of cascading consequences of a possible earthquake in Tehran (introduction of intersecting, destructive and complex chains)

Document Type : Original Article

Authors

1 Ph.D Student, Kish International Campus, University of Tehran, Kish, Iran

2 Professor, Department of Public Administration, Faculty of Management, University of Tehran, Tehran, Iran

3 Assistant Professor, Department of Futures Studies, University of Tehran.

10.22124/upk.2025.29318.1994

Abstract

Introduction: Earthquakes are among the most devastating natural disasters due to their unpredictability and extensive consequences Because of the dense population and vulnerable infrastructure in Tehran,, the risk of cascading effects and interconnected crises caused by earthquakes is significantly heightened. These cascading effects often result in long-term challenges across various sectors, including social, environmental, economic, and governance systems. Understanding these interconnected impacts is crucial for developing proactive urban management and resilience strategies. This study aims to identify the cascading and systemic impacts of a potential earthquake in Tehran. It focuses on analyzing the interactions and interdependencies among these impacts to highlight destructive chains. By presenting a comprehensive and future-oriented framework, the study seeks to enhance decision-making in urban management and civil defense, thereby strengthening urban resilience and mitigating the impacts of crises.
Methodology: A qualitative approach was employed to examine the potential impacts of an earthquake in Tehran. Data were gathered through semi-structured interviews with experts and analyzed using the Future Wheel Technique, open coding, and thematic analysis. A Likert scale questionnaire was administered to identify high-impact outcomes with the potential to trigger destructive chains. Expert evaluations were conducted to validate the findings and prioritize the most significant consequences.
Results: The findings revealed that an earthquake in Tehran could initiate destructive chains across seven critical domains: Chains threatening the environment and disrupting ecosystems refer to cascading events initiated by natural disasters, such as earthquakes, that significantly alter ecological balances. These chains not only lead to the displacement of species and biodiversity loss but also undermine critical ecosystem services, including water purification, soil stability, and carbon sequestration. Such disruptions create long-term repercussions for human health, food security, and economic resilience. The compounded effects extend into socio-economic systems, highlighting the interconnectedness of environmental integrity and societal stability.Vulnerability chains and the weakening of susceptible infrastructure following seismic events severely disrupt the effective functioning of critical systems, such as transportation, healthcare, energy, and water, significantly diminishing communities 'ability to manage crises and rebuild.
Infrastructure vulnerability during earthquakes impairs the delivery of essential services, exacerbates social inequalities, lowers the quality of life, and increases costs. Therefore, effectively managing these vulnerability chains is a prerequisite for accelerating reconstruction, reducing casualties, and enhancing community resilience in the face of future events.Chains exacerbating post-earthquake psychological damage can range from mild anxiety disorders to severe trauma conditions, such as Post-Traumatic Stress Disorder (PTSD). Earthquakes, being highly traumatic events, bring death to close family members, financial ruin, and the destruction of vital infrastructure. This trauma is further worsened by the continuous fear of aftershocks and the disruption of social networks. Poor mental health infrastructure—from basic services to more comprehensive systems—can significantly limit the ability to cope, thereby aggravating psychological harm. These psychological effects have serious ramifications beyond personal health, as they permeate all levels of decision-making, from the individual to the institutional level, and may manifest as behavioral tensions that inhibit collective action. This spiral of damage often leads to heightened social friction, a lack of coordination in response to the crisis, and a breakdown in confidence in authorities within the affected communities. Additionally, these psychological injuries can lead to increased social inequality, delayed recovery, and generally lower resilience. Societies with underdeveloped mental health systems face significant risks, as many lack effective frameworks for intervention. Fully understanding this chain of impact is crucial for implementing interventions that not only support mental health but also strengthen social cohesion and accelerate recovery.Chains undermining economic security and sustainability include the corrosive economic impact of earthquakes—a sudden and sharp economic shock. Infrastructure damage, supply-chain disruptions, and reduced demand lead to lower production, higher unemployment, and inflation. Disturbed investor confidence, driven by these factors, further hampers efforts to attract both domestic and foreign investment. These challenges are exacerbated by pre-existing structural conditions such as economic inequalities, weak financial institutions, and a lack of transparency in decision-making. The consequences of earthquakes not only devastate the regional economy but also hinder sustainable development and exacerbate social inequalities. Therefore, a deep understanding of these chains is crucial for developing appropriate economic policies aimed at strengthening economic resilience and ensuring faster and more sustainable recovery in earthquake-affected regions.
Chains threatening energy security and sustainability are triggered by earthquakes, which are recognized as devastating
Discussion: natural phenomena that create significant challenges for energy management. Earthquakes can cause the destruction of power plants, electricity transmission lines, and gas distribution networks, leading to widespread energy outages. In addition to risks such as gas leaks and fires, these situations can escalate into secondary crises, like explosions. Damage to energy infrastructure—particularly crucial for hospitals and healthcare centers—disrupts the provision of essential services, increasing fatalities. Furthermore, disruptions in fuel supply chains for power plants and critical industries, caused by damage to transportation infrastructure, not only reduce energy production but also severely impact the functioning of key sectors, including healthcare and industry.Chains threatening the sustainability and management of vital resources triggered by earthquakes extend beyond physical destruction, leading to widespread humanitarian crises. A key challenge after an earthquake is the damage to critical infrastructure, such as water supply systems, food distribution networks, and healthcare services. The destruction of water infrastructure and disruption of food supply chains exacerbate shortages of drinking water and essential food supplies. This, combined with the damage to healthcare facilities and the sudden surge in demand for medical services, leads to the spread of infectious diseases and increased mortality rates. Weak resource management and a lack of coordination in relief efforts further deepen the crisis, leading to social unrest, violence, and looting. These conditions erode public trust in government and relief organizations, complicating and delaying the recovery process. Moreover, these chains of threats intensify social inequalities, placing additional economic and social pressure on affected communities, significantly delaying their return to normalcy.Chains posing risks to sustainable governance and social cohesion arise as earthquakes place immense pressure on political and social systems. Earthquakes, as sudden and devastating events, challenge governance structures by eroding public trust, exacerbating social inequalities, and creating displacement and migration crises. The destruction of infrastructure and disruption of governmental institutions lead to inefficiencies in service delivery and crisis response, further diminishing public confidence in the government and fostering corruption and mismanagement. The inability to manage the post-disaster aftermath, such as the unequal distribution of aid, intensifies social disparities and weakens social cohesion, potentially leading to protests, civil unrest, and even the collapse of governance at local and, in extreme cases, national levels. Additionally, in such destabilized conditions, external threats and exploitation by adversaries can jeopardize national security. The long-term consequences of this chain of risks include prolonged recovery, rising poverty and inequality, political instability, and a decline in the quality of life in affected regions. These challenges underscore the critical need for strengthening governance, enhancing social cohesion, and ensuring efficient disaster preparedness.These destructive chains necessitate specific policy interventions aimed at either preventing crises from escalating or mitigating their worst effects. By targeting critical points within these chains, such as improving infrastructure resilience or developing emergency resource management protocols, Tehran can reduce the likelihood of cascading impacts overwhelming the city.
Conclusion: This research highlights the importance of managing destructive chains through enhanced coordination, strengthened governance structures, and proactive planning. By integrating civil defense principles, urban management strategies, and multi-sector collaboration, Tehran can improve its resilience to earthquakes and reduce the risk of cascading crises. The study provides a foundation for future research on systemic disaster impacts and offers practical insights for policymakers to prioritize actions that mitigate secondary and tertiary effects.
 

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Afzali, R. (2021). Political-Social Crises of Earthquakes in Iran. University of Tehran Press.[In Persian]
Alimohammadi, H., Bakhshi, A., & Yekrangnia, M. (2024). Seismic risk assessment of Tehran masonry school buildings and prioritizing them for seismic retrofitting using reliability methods. Natural Hazards. https://doi.org/10.1007/s11069-024-06666-2
Antonioni, G., SpadoniI, G., & Cozzani, V. (2007). A methodology for the quantitative risk assessment of major accidents triggered by seismic events. Journal of Hazardous Materials, 147(1–2), 48–59. https://doi.org/10.1016/j.jhazmat.2006.12.043
Amin Nayeri, B., Zali, N., & Motavaf, S. H. (2019). Identification of regional development drivers by scenario Planning. International Journal of Urban Management and Energy Sustainability, 1(2), 67-80.
Aven, T. (2015). Implications of black swans to the foundations and practice of risk assessment and management. Reliability Engineering & System Safety, 134, 83–91. https://doi.org/10.1016/j.ress.2014.10.004
Barquet, K., Englund, M., Inga, K., André, K., & Segnestam, L. (2024). Conceptualising multiple hazards and cascading effects on critical infrastructures. Disasters, 48(1). https://doi.org/10.1111/disa.12591
Carpenter, S. R., Bennett, E. M., & Peterson, G. D. (2006). Scenarios for Ecosystem Services: An Overview. Ecology and Society, 11(1). http://www.jstor.org/stable/26267787
Del Gaudio, C., Ricci, P., Verderame, G. M., & Manfredi, G. (2016). Observed and predicted earthquake damage scenarios: the case study of Pettino (L’Aquila) after the 6th April 2009 event. Bulletin of Earthquake Engineering, 14(10), 2643–2678. https://doi.org/10.1007/s10518-016-9919-2
Firuzi, E., Ansari, A., Amini Hosseini, K., & Rashidabadi, M. (2019). Probabilistic earthquake loss model for residential buildings in Tehran, Iran to quantify annualized earthquake loss. Bulletin of Earthquake Engineering, 17(5), 2383–2406. https://doi.org/10.1007/s10518-019-00561-z
Ghafari Nasab, Esfandiar, & Iman, Mohammad Taqi. (2013). Philosophical foundations of complex systems theory. Methodology of Social Sciences and Humanities19(76), 41-59. [In Persian]
Gill, J. C., & Malamud, B. D. (2014). Reviewing and visualizing the interactions of natural hazards. Reviews of Geophysics, 52(4), 680–722. https://doi.org/10.1002/2013RG000445
Glade, T., Kappes, M., Frigerio, S., & Malet, J. (2012). MULTI-HAZARD EXPOSURE ANALYSES WITH MULTIRISK-A PLATFORM FOR USER-FRIENDLY ANALYSES. www.interpraevent.at
Glenn, J. C. (2009). The futures wheel. Futures Research Methodology—Version, 3, 19.
Glenn, J. C., & Gordon, T. J. (2009). Futures research methodology: version 3.0. Millennium Project Washington, DC.
Gong, S., Ye, Y., Gao, X., Chen, L., & Wang, T. (2023). Empirical patterns of interdependencies among critical infrastructures in cascading disasters: Evidence from a comprehensive multi-case analysis. International Journal of Disaster Risk Reduction, 95, 103862. https://doi.org/10.1016/j.ijdrr.2023.103862
Hajimirrahimi, S. D., Värnik, R., Eftekhari, E., Petrescu, D. C., Petrescu-Mag, R. M., Pour, M., & Azadi, H. (2024). Towards the institutionalization of ethics: agricultural experts’ knowledge of planning effective management of passive defense in Iran. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-04534-4
Hill, E. M., McCaughey, J. W., Switzer, A. D., Lallemant, D., Wang, Y., & Sathiakumar, S. (2024). Human amplification of secondary earthquake hazards through environmental modifications. Nature Reviews Earth & Environment, 5(6), 463–476. https://doi.org/10.1038/s43017-024-00551-z
Hochrainer, S., & Mechler, R. (2011). Natural disaster risk in Asian megacities. Cities, 28(1), 53–61. https://doi.org/10.1016/j.cities.2010.09.001
Huang, X., & Wang, N. (2024). Post-disaster restoration planning of interdependent infrastructure Systems: A framework to balance social and economic impacts. Structural Safety, 107, 102408. https://doi.org/10.1016/j.strusafe.2023.102408
Jahangiri, K., Eivazi, M.-R., & Sayah Mofazali, A. (2017). The role of Foresight in avoiding systematic failure of natural disaster risk management. International Journal of Disaster Risk Reduction, 21, 303–311. https://doi.org/10.1016/j.ijdrr.2017.01.008
JICA. (2001). Final Report of the Microzonation Project of Greater Tehran.[In Persian]
Kalantari, M., Firuzi, E., Ahmadipour, M., & Sorooshian, S. (2023). Estimating annualized earthquake loss for residential buildings in Tehran, Iran. Bulletin of Earthquake Engineering, 21(4), 2259–2280. https://doi.org/10.1007/s10518-022-01604-8
Kamranzad, F., Memarian, H., & Zare, M. (2020). Earthquake Risk Assessment for Tehran, Iran. ISPRS International Journal of Geo-Information, 9(7), 430. https://doi.org/10.3390/ijgi9070430
Kappes, M. S., Keiler, M., von Elverfeldt, K., & Glade, T. (2012). Challenges of analyzing multi-hazard risk: A review. In Natural Hazards (Vol. 64, Issue 2, pp. 1925–1958). https://doi.org/10.1007/s11069-012-0294-2
Karimi, A., & Tolui far, A. (2024). Improving software quality assurance by using common global standards. Passive Defense. https://pd.ihu.ac.ir/article_209339.html
Kheirizadeh Arouq, M., Esmaeilpour, M., & Sarvar, H. (2020). Vulnerability assessment of cities to earthquake based on the catastrophe theory: a case study of Tabriz city, Iran. Environmental Earth Sciences, 79(14), 354. https://doi.org/10.1007/s12665-020-09103-2
Kirsch, M. T. D., Leidman, M. E., Weiss, D. W., & Doocy, P. S. (2012). The impact of the earthquake and humanitarian assistance on household economies and livelihoods of earthquake-affected populations in Haiti. American Journal of Disaster Medicine, 7(2), 85–94. https://doi.org/10.5055/ajdm.2012.0084
Kumasaki, M., King, M., Arai, M., & Yang, L. (2016). Anatomy of cascading natural disasters in Japan: main modes and linkages. Natural Hazards, 80(3), 1425–1441. https://doi.org/10.1007/s11069-015-2028-8
Kunreuther, H. (1996). Mitigating disaster losses through insurance. Journal of Risk and Uncertainty, 12(2–3), 171–187. https://doi.org/10.1007/BF00055792
Kuosa, T. (2011). Evolution of futures studies. Futures, 43(3), 327–336. https://doi.org/10.1016/j.futures.2010.04.001
Luesink, M., Wolbers, J., Duin, M. van, & Kuipers, S. (2024). Scenario planning to enable foresight in crisis management. https://hdl.handle.net/1887/4093097
Marciano, C., Peresan, A., Pirni, A., Pittore, M., Tocchi, G., & Zaccaria, A. M. (2024). A participatory foresight approach in disaster risk management: The multi-risk storylines. International Journal of Disaster Risk Reduction, 114, 104972. https://doi.org/10.1016/j.ijdrr.2024.104972
Maskrey, A., Jain, G., & Lavell, A. (2023). The social construction of systemic risk: towards an actionable framework for risk governance. Disaster Prevention and Management: An International Journal, 32(1), 4–26. https://doi.org/10.1108/DPM-07-2022-0155
Mavrouli, M., Mavroulis, S., Lekkas, E., & Tsakris, A. (2023). An Emerging Health Crisis in Turkey and Syria after the Earthquake Disaster on 6 February 2023: Risk Factors, Prevention and Management of Infectious Diseases. Healthcare, 11(7), 1022. https://doi.org/10.3390/healthcare11071022
May, F. (2007). Cascading disaster models in postburn flash flood. The Fire Environment—Innovations, Management, and Policy, 443–464.
Mitra, A., & Shaw, R. (2023). Systemic risk from a disaster management perspective: A review of current research. Environmental Science & Policy, 140, 122–133. https://doi.org/10.1016/j.envsci.2022.11.022
Mosadeghrad, A. M., Dehnavi, H., & Darrudi, A. (2024). Equity in distribution of hospital beds in Tehran province. Payesh (Health Monitor) Journal, 23(2), 171–184. https://doi.org/10.61186/payesh.23.2.171
Mozaffari, Z., & Ghasemi, M. (2024). Identifying the key drivers of the sustainable development of rural tourism with a foresight approach (Case study: Neyshabur county). Program and Development Research5(1), 41-77. doi: 10.22034/pbr.2024.429826.1394 [In Persian]
NGUYEN, J. (2024). Systemic Risk vs. Systematic Risk: What’s the Difference?
Nola, I. A. (2018). Earthquakes and their environmental, medical and public health impacts. Salud Pública de México, 60(Supl.1), 16. https://doi.org/10.21149/9212
Nomura, S., Parsons, A. J. Q., Hirabayashi, M., Kinoshita, R., Liao, Y., & Hodgson, S. (2016). Social determinants of mid- to long-term disaster impacts on health: A systematic review. International Journal of Disaster Risk Reduction, 16, 53–67. https://doi.org/10.1016/j.ijdrr.2016.01.013
Paté‐Cornell, E. (2012). On “Black Swans” and “Perfect Storms”: Risk Analysis and Management When Statistics Are Not Enough. Risk Analysis, 32(11), 1823–1833. https://doi.org/10.1111/j.1539-6924.2011.01787.x
Paul, S. (2016). The Perception of Risk. In Scientists Making a Difference (pp. 179–182). Cambridge University Press. https://doi.org/10.1017/CBO9781316422250.040
Pescaroli, G., & Alexander, D. (2015). A definition of cascading disasters and cascading effects: Going beyond the “toppling dominos” metaphor. Planet@ Risk, 3(1), 58–67.
Pescaroli, G., & Alexander, D. (2018). Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework. Risk Analysis, 38(11), 2245–2257. https://doi.org/10.1111/risa.13128
Phraknoi, N., Sutanto, J., Hu, Y., Goh, Y. S., & Lee, C. E. C. (2023). Older people’s needs in urban disaster response: A systematic literature review. International Journal of Disaster Risk Reduction, 96, 103809. https://doi.org/10.1016/j.ijdrr.2023.103809
Polese, M. (2015). Improving emergency preparedness with simulation of cascading events scenarios. Proceedings of the ISCRAM 2015 Conference, Kristiansand.
Poudel, A., Argyroudis, S., & Pitilakis, K. (2024). Systemic seismic risk assessment of urban healthcare system considering interdependencies to critical infrastructures. International Journal of Disaster Risk Reduction, 103, 104304. https://doi.org/10.1016/j.ijdrr.2024.104304
Pourezzat, A. (2011). Era-based Strategic Management. Imam Sadeq University(AS). Iran. [In Persian]
Schweizer, P.-J., & Renn, O. (2019). Systemische Risiken und Transformationsprozesse auf dem Weg zu einer nachhaltigen Wirtschafts- und Gesellschaftsentwicklung. In Nachhaltiges Management (pp. 211–227). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-57693-9_11
Sulfikkar Ahamed, M., Sarmah, T., Dabral, A., Chatterjee, R., & Shaw, R. (2023). Unpacking systemic, cascading, and compound risks: A case based analysis of Asia Pacific. Progress in Disaster Science, 18, 100285. https://doi.org/10.1016/j.pdisas.2023.100285
Sun, Z., Tavakoli, S., Khalilpour, K., Voinov, A., & Marshall, J. P. (2024). Barriers to Peer-to-Peer Energy Trading Networks: A Multi-Dimensional PESTLE Analysis. Sustainability, 16(4), 1517. https://doi.org/10.3390/su16041517
Tagliacozzo, S., Guadagno, L., & Ayeb-Karlsson, S. (2022). How do population movements fit within the framework of systemic risk? Progress in Disaster Science, 16, 100256. https://doi.org/10.1016/j.pdisas.2022.100256
Tan, X., Zhong, Y., Vivian, A., Geng, Y., Wang, Z., & Zhao, D. (2024). Towards an era of multi-source uncertainty: A systematic and bibliometric analysis. International Review of Financial Analysis, 95, 103411. https://doi.org/10.1016/j.irfa.2024.103411
Tanaka, Y. (2012). Disaster Policy and Education Changes over 15 Years in Japan. Journal of Comparative Policy Analysis: Research and Practice, 14(3), 245–253. https://doi.org/10.1080/13876988.2012.687623
Terzi, S., Torresan, S., Schneiderbauer, S., Critto, A., Zebisch, M., & Marcomini, A. (2019). Multi-risk assessment in mountain regions: A review of modelling approaches for climate change adaptation. Journal of Environmental Management, 232, 759–771. https://doi.org/10.1016/j.jenvman.2018.11.100
UNISDR. (2015). Sendai Framework for Disaster Risk Reduction 2015 - 2030.
USTA, P., & ONAT, Ö. (2023). An Overview of Temporary Housing Management after the Earthquakes in Turkey in terms of Disaster Management. Journal of Turkish Operations Management, 7(1), 1460–1468. https://doi.org/10.56554/jtom.1204406
van ‘t Klooster, S. A., Cramer, T., & van Asselt, M. B. A. (2024). Foresight in action: A longitudinal study based on a 25-year journey in the world of policy-oriented foresight. Futures, 155, 103294. https://doi.org/10.1016/j.futures.2023.103294
Wang, J., He, Z., & Weng, W. (2020). A review of the research into the relations between hazards in multi-hazard risk analysis. Natural Hazards, 104(3), 2003–2026. https://doi.org/10.1007/s11069-020-04259-3
Yaghmaei, N. (2020). Human cost of disasters: An overview of the last 20 years, 2000-2019. UN Office for Disaster Risk Reduction.
Zali, N., & Zamanipoor, M. (2015). Systematic analysis of strategic variables of regional development in scenario-based planning (Case: Mazandaran Province). Town and Country Planning, 7(1), 1-28.
Zhang, Y., Weng, W. G., & Huang, Z. L. (2018). A scenario-based model for earthquake emergency management effectiveness evaluation. Technological Forecasting and Social Change, 128, 197–207. https://doi.org/10.1016/j.techfore.2017.12.001
Zuccaro, G., De Gregorio, D., & Leone, M. F. (2018). Theoretical model for cascading effects analyses. International Journal of Disaster Risk Reduction, 30, 199–215. https://doi.org/10.1016/j.ijdrr.2018.04.019