Assessing the Efficiency of Smart Cities of COVID-19 Response Measures from a Comparative Perspective

Authors

  • Rania J. Qutieshat Al-Balqa Applied University Author

DOI:

https://doi.org/10.70917/fce-2025-026

Keywords:

smart cities, COVID-19, epidemics, urban planning, pandemics responds, resilience

Abstract

Most cities worldwide have witnessed major disruptions and imbalances resulting from the COVID-19 pandemic, which began in 2020, and its effects are still present now. This research aims to assess smart cities' response levels when exposed to a major health pandemic such as COVID-19 by following a methodology that focuses on qualitative research to identify the areas in which smart cities respond to the Pandemic. The research assumes that smart cities respond better to Pandemics, acknowledge their ability to sustain urban functions, and achieve the well-being of their residents. The research applied these domains to two cities in different development levels, Amman in Jordan, a developing country, and Chicago in the USA, a developed country, as two case studies and compared their response to COVID-19. The research interviewed 12 experts to validate the literature review assessment domains. This research aims to assess smart cities and identify the flexibility of responding to the Coronavirus pandemic that has stormed the world for three difficult years using mixed methodologies. The research used the descriptive analytical approach, using qualitative methods, such as interviews with experts, decision-makers, and those responsible for managing the crisis. Additionally, the research collects and analyzes statistics, data, and technical reports from different agencies for both cities. The researcher concludes that smart cities can respond effectively once significant cities are exposed to such a pandemic of spread and contagion. There are consequences related to the extreme use of technologies in smart cities, especially regarding violating privacy and increasing the digital divide between sectors of society, especially senior residents. More academic debate and research are needed on how smart cities are becoming moral and equitable for their citizens. Finally, the research developed recommendations based on the results concerning municipalities, government agencies, and the private sector. 

References

Abdulla, M. F., Ibrahim, M., & Zulkifli, H. (2017). Big data analytics framework. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security. https://doi.org/10.5220/0006367204060411 DOI: https://doi.org/10.5220/0006367204060411

Abusaada, H., & Elshater, A. (2020). COVID-19 challenge, information technologies, and smart cities: Considerations for well-being. International Journal of Community Well-Being, 3, 417–424. DOI: https://doi.org/10.1007/s42413-020-00068-5

Acuto, M., Larcom, S., Keil, R., Ghojeh, M., Lindsay, T., Camponeschi, C., & Parnell, S. (2020). Seeing COVID-19 through an urban lens. Nature Sustainability, 3, 977–978. DOI: https://doi.org/10.1038/s41893-020-00620-3

Alkhaffaf, M., & Almomani, H. (2021). Role of intelligent technology in crisis management: Systematic literature review the case of coronavirus. In M. Alshurideh, A. E. Hassanien, & R. Masa'deh (Eds.), The effect of coronavirus disease (COVID-19) on business intelligence (Studies in Systems, Decision and Control, Vol. 334). Springer. https://doi.org/10.1007/978-3-030-67151-8_1 DOI: https://doi.org/10.1007/978-3-030-67151-8_1

Allam, Z. (2019). Achieving neuroplasticity in artificial neural networks through smart cities. Smart Cities, 2, 118–134. DOI: https://doi.org/10.3390/smartcities2020009

Allam, Z., & Jones, D. (2020). On the coronavirus (COVID-19) outbreak and the smart city network: Universal data sharing standards coupled with artificial intelligence (AI) to benefit urban health monitoring and management. Healthcare, 8(46). DOI: https://doi.org/10.3390/healthcare8010046

Allam, Z., Tegally, H., & Thondoo, M. (2019). Redefining the use of big data in urban health for increased liveability in smart cities. Smart Cities, 2, 259–268. DOI: https://doi.org/10.3390/smartcities2020017

Alshurideh, M. T., Hassanien, A. E., & Masa'deh, R. (Eds.). (2021). The effect of coronavirus disease (COVID-19) on business intelligence. Springer. DOI: https://doi.org/10.1007/978-3-030-67151-8

Amirzadeh, M., Sobhaninia, S., Buckman, S. T., & Sharifi, A. (2023). Towards building resilient cities to pandemics: A review of COVID-19 literature. Sustainable Cities and Society, 89, 104326. https://doi.org/10.1016/j.scs.2022.104326 DOI: https://doi.org/10.1016/j.scs.2022.104326

Anisetti, M., Ardagna, C., Bellandi, V., Cremonini, M., & Frati, F. (2018). Privacy-aware big data analytics as a service for public health policies in smart cities. Sustainable Cities and Society, 39, 68–77. DOI: https://doi.org/10.1016/j.scs.2017.12.019

Asmorowati, S., Schubert, V., & Ningrum, A. P. (2021). Policy capacity, local autonomy, and human agency: Tensions in the intergovernmental coordination in Indonesia's social welfare response amid the COVID-19 pandemic. Journal of Asian Public Policy, 1–15. https://doi.org/10.1080/17516234.2020.1869142 DOI: https://doi.org/10.1080/17516234.2020.1869142

Aguirre, B. (2020). Review of Disasters: A sociological approach by Kathleen Tierney. Natural Hazard Review, 21(1). DOI: https://doi.org/10.1061/(ASCE)NH.1527-6996.0000366

Babbie, E. (2010). The practice of social research. Wadsworth.

Batty, M. (2020). The coronavirus crisis: What will the post-pandemic city look like? Environment and Planning B: Urban Analytics and City Science, 47(4), 547–552. https://doi.org/10.1177/2399808320926912 DOI: https://doi.org/10.1177/2399808320926912

Caiaffa, W., et al. (2013). Developing a conceptual framework of urban health observatories toward integrating research and evidence into urban policy for health and health equity. Journal of Urban Health, 91(1), 1–16. DOI: https://doi.org/10.1007/s11524-013-9812-0

Capano, G., Howlett, M., Jarvis, D. S. L., Ramesh, M., Goyal, N., & Cénat, J. M. (2020). The vulnerability of low- and middle-income countries facing the COVID-19 pandemic: The case of Haiti. Travel Medicine and Infectious Disease, 37, 101684. https://doi.org/10.1016/j.tmaid.2020.101684 DOI: https://doi.org/10.1016/j.tmaid.2020.101684

Cheshmehzangi, A., Sedrez, M., Zhao, H., Li, T., Heath, T., & Dawodu, A. (2024). Resilience vs pandemics: Innovations in public places and buildings. Springer Nature Singapore. DOI: https://doi.org/10.1007/978-981-99-8672-9

United Nations Human Settlements Programme. (2021). Cities and pandemics: Towards a more just, green and healthy future. https://unhabitat.org/cities-and-pandemics-towards-a-more-just-green-and-healthy-future-0

Clark, E., Chiao, E. Y., & Amirian, E. S. (2021). Why contact tracing efforts have failed to curb coronavirus disease 2019 (COVID-19) transmission in much of the United States. Clinical Infectious Diseases, 72(9), E415–E419. https://doi.org/10.1093/cid/ciaa1155 DOI: https://doi.org/10.1093/cid/ciaa1155

Connolly, C., Keil, R., & Ali, S. H. (2020). Extended urbanisation and the spatialities of infectious disease: Demographic change, infrastructure and governance. Urban Studies, 1–19. https://doi.org/10.1177/0042098020910873 DOI: https://doi.org/10.1177/0042098020910873

Cugurullo, F. (2021). Frankenstein urbanism: Eco, smart and autonomous cities, artificial intelligence and the end of the city. Routledge. DOI: https://doi.org/10.4324/9781315652627

Daneshpour, A. (2020). Out of the coronavirus crisis, a new kind of urban planning must be born.

Defense Law No. 13 of 1992 (Jordan).

Defense Order No. 2 (2020). Issued by the Prime Minister of Jordan.

Diop, S., Asongu, S. A., & Nnanna, J. (2021). COVID-19 economic vulnerability and resilience indexes: Global evidence. International Social Science Journal, 71(Suppl 1), 37–50. https://doi.org/10.1111/issj.12276 DOI: https://doi.org/10.1111/issj.12276

Durose, C., Escobar, O., Gilchrist, A., Agger, A., Henderson, J., van Hulst, M., & van Ostaijen, M. (2019). Socially smart cities: Making a difference in urban neighbourhoods. https://www.smarturban-intermediaries.com/wp-content/uploads/2019/11/Socially-Smart-Cities-Report-2019.pdf

El Azzaoui, A., Singh, S. K., & Park, J. H. (2021). SNS big data analysis framework for COVID-19 outbreak prediction in smart healthy city. Sustainable Cities and Society, 71, 102993. https://doi.org/10.1016/j.scs.2021.102993 DOI: https://doi.org/10.1016/j.scs.2021.102993

El-Kholei, A. (2019). Risks, hazards, and disasters: Can a smart city be resilient? In Smart cities: Issues and challenges—Mapping political, social and economic risks and threats (pp. 125–146). DOI: https://doi.org/10.1016/B978-0-12-816639-0.00008-9

Ezzati, M., Webster, C. J., Doyle, Y. G., Rashid, S., Owusu, G., & Leung, G. M. (2018). Cities for global health. British Medical Journal, 363, k3794. https://doi.org/10.1136/bmj.k3794 DOI: https://doi.org/10.1136/bmj.k3794

Fernández-Güell, J.-M., Collado-Lara, M., Guzmán-Araña, S., & Fernández-Añez, V. (2016). Incorporating a systemic and foresight approach into smart city initiatives: The case of Spanish cities. Journal of Urban Technology, 23, 43–67. DOI: https://doi.org/10.1080/10630732.2016.1164441

Fletcher-Lartey, S., & Caprarelli, G. (2016). Application of GIS technology in public health: Successes and challenges. Parasitology, 143, 401–415. DOI: https://doi.org/10.1017/S0031182015001869

Freudenberg, N., Galea, S., & Vlahov, D. (2005). Beyond urban penalty and urban sprawl: Back to living conditions as the focus of urban health. Journal of Community Health, 30(1), 1–11. DOI: https://doi.org/10.1007/s10900-004-6091-4

Füller, H. (2016). Pandemic cities: Biopolitical effects of changing infection control in post-SARS Hong Kong. The Geographical Journal, 182(4), 342–352. DOI: https://doi.org/10.1111/geoj.12179

Gao, Z., Jiang, Y., He, J., et al. (2022). An AHP-based regional COVID-19 vulnerability model and its application in China. Modeling Earth Systems and Environment, 8, 2525–2538. DOI: https://doi.org/10.1007/s40808-021-01244-y

Giles-Corti, B., et al. (2016). City planning and population health: A global challenge. The Lancet, 388, 2912–2924. DOI: https://doi.org/10.1016/S0140-6736(16)30066-6

Goyal, N., & Howlett, M. (2021). "Measuring the mix" of policy responses to COVID-19: Comparative policy analysis using topic modelling. Journal of Comparative Policy Analysis: Research and Practice, 23(2), 250–261. https://doi.org/10.1080/13876988.2021.1880872 DOI: https://doi.org/10.1080/13876988.2021.1880872

Greater Amman Municipality. (2020). Institutional performance and resilience report on Amman in the face of the coronavirus.

Greater Amman Municipality & International Growth Center. (2020). Amman urban response to the COVID-19 pandemic and institutional performance.

Harris, P., Harris-Roxas, B., Prior, J., Morrison, N., McIntyre, E., Frawley, J., et al. (2022). Respiratory pandemics, urban planning and design: A multidisciplinary rapid review of the literature. Cities, 127. https://doi.org/10.1016/j.cities.2022.103767 DOI: https://doi.org/10.1016/j.cities.2022.103767

Hassankhani, M., Alidadi, M., Sharifi, A., & Azhdari, A. (2021). Smart city and crisis management: Lessons for the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(15), 7736. https://doi.org/10.3390/ijerph18157736 DOI: https://doi.org/10.3390/ijerph18157736

Houdijk, R. (2010). Regional risk assessment in The Netherlands—An introduction. The Hague.

ILO. (2021). Impact of the COVID-19 pandemic on companies in Jordan: One year after the pandemic.

Birkmann, J. (2014). Assessment of vulnerability to natural hazards: Introduction—Vulnerability: A key determinant of risk and its importance for risk management and sustainability. In Assessment of vulnerability to natural hazards (pp. 9–14). DOI: https://doi.org/10.1016/B978-0-12-410528-7.02001-4

James, P., Das, R., Jalosinska, A., & Smith, L. (2020). Smart cities and a data-driven response to COVID-19. Dialogues in Human Geography, 10(2), 255–259. https://doi.org/10.1177/2043820620934211 DOI: https://doi.org/10.1177/2043820620934211

Jordan Times. (2020). Instructions for establishing the National Center for Epidemiology and Infectious Diseases.

José, R., & Rodrigues, H. A. (2024). Review on key innovation challenges for smart city initiatives. Smart Cities, 7(1), 141–162. https://doi.org/10.3390/smartcities7010006 DOI: https://doi.org/10.3390/smartcities7010006

Kang, M., Choi, Y., Kim, J., Lee, K. O., Lee, S., Park, I. K., et al. (2020). COVID-19 impact on city and region: What's next after lockdown? International Journal of Urban Sciences, 24(3), 297–315. https://doi.org/10.1080/12265934.2020.1803107 DOI: https://doi.org/10.1080/12265934.2020.1803107

Kitazawa, K., & Hale, S. A. (2021). Social media and early warning systems for natural disasters: A case study of Typhoon Etau in Japan. International Journal of Disaster Risk Reduction, 52, 101926. DOI: https://doi.org/10.1016/j.ijdrr.2020.101926

Kitchin, R. (2019). Toward a genuinely humanizing smart urbanism. In C. Paolo, F. D. Cesare, & K. Rob (Eds.), The right to the smart city (pp. 193–204). Emerald Publishing Limited. DOI: https://doi.org/10.1108/978-1-78769-139-120191014

Kuzior, A., Krawczyk, D., Brożek, P., Pakhnenko, O., Vasylieva, T., & Lyeonov, S. (2022). Resilience of smart cities to the consequences of the COVID-19 pandemic in the context of sustainable development. Sustainability, 14(19), 12645. https://doi.org/10.3390/su141912645 DOI: https://doi.org/10.3390/su141912645

Levenda, A. M., Keough, N., Rock, M., & Miller, B. (2020). Rethinking public participation in the smart city. The Canadian Geographer / Le Géographe Canadien, 64, 344–358. DOI: https://doi.org/10.1111/cag.12601

Li, F. (2022). Disconnected in a pandemic: COVID-19 outcomes and the digital divide in the United States. Health & Place, 77, 102867. DOI: https://doi.org/10.1016/j.healthplace.2022.102867

Lii Inn, T. (2020). Smart city technologies take on COVID-19. Penang Institute.

Hagelsteen, M., & Becker, P. (2013). Challenging disparities in capacity development for disaster risk reduction. International Journal of Disaster Risk Reduction, 3, 4–11. DOI: https://doi.org/10.1016/j.ijdrr.2012.11.001

Angelidou, M., Psaltoglou, A., Komninos, N., Kakderi, C., Tsarchopoulos, P., & Panori, A. (2017). Enhancing sustainable urban development through smart city applications. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-05-2017-0016 DOI: https://doi.org/10.1108/JSTPM-05-2017-0016

Marston, H. R., Shore, L., & White, P. J. (2020). How does a (smart) age-friendly ecosystem look in a post-pandemic society? International Journal of Environmental Research and Public Health, 17(21), 8276. https://doi.org/10.3390/ijerph17218276 DOI: https://doi.org/10.3390/ijerph17218276

Matthew, R., & McDonald, B. (2007). Cities under siege: Urban planning and the threat of infectious disease. Journal of the American Planning Association, 72(1), 109–117. DOI: https://doi.org/10.1080/01944360608976728

Megahed, N. A., & Abdel-Kader, R. F. (2022). Smart cities after COVID-19: Building a conceptual framework through a multidisciplinary perspective. Scientific African, 17, e01374. https://doi.org/10.1016/j.sciaf.2022.e01374 DOI: https://doi.org/10.1016/j.sciaf.2022.e01374

Moon, M. J. (2020). Fighting COVID-19 with agility, transparency, and participation: Wicked policy problems and new governance challenges. Public Administration Review, 80(4), 651–656. https://doi.org/10.1111/puar.13214 DOI: https://doi.org/10.1111/puar.13214

Mullick, M., & Patnaik, A. (2022). Pandemic management, citizens and the Indian smart cities: Reflections from the right to the smart city and the digital divide. City, Culture and Society, 30, 100474. DOI: https://doi.org/10.1016/j.ccs.2022.100474

Liao, N., & Nawaz, M. (2024). An indicator model for assessing community resilience to the COVID-19 pandemic and its validation: A case study in Hong Kong. Journal of Safety Science and Resilience. https://doi.org/10.1016/j.jnlssr.2023.12.005 DOI: https://doi.org/10.1016/j.jnlssr.2023.12.005

National University of Colombia-Manizales & Inter-American Development Bank. (2005). System of indicators for disaster risk management: Program for Latin America and the Caribbean main technical report.

National Voluntary Review of Jordan (2022, unpublished).

Neiderud, C. J. (2015). How urbanization affects the epidemiology of emerging infectious diseases. Infection Ecology and Epidemiology, 5, 27060. https://doi.org/10.3402/iee.v5.27060 DOI: https://doi.org/10.3402/iee.v5.27060

Obinikpo, A., & Kantarci, B. (2017). Big sensed data meets deep learning for smarter health care in smart cities. Journal of Sensor and Actuator Networks, 2(26), 2–22. DOI: https://doi.org/10.3390/jsan6040026

OECD. (2020). Measuring smart cities' performance: Do smart cities benefit everyone? https://www.oecd.org/cfe/cities/Smart-cities-measurement-framework-scoping.pdf

Okoli, C., & Pawlowski, S. D. (2004). The Delphi method as a research tool: An example, design considerations and applications. Information & Management, 42, 15–29. DOI: https://doi.org/10.1016/j.im.2003.11.002

Palwe, S., & Sirsikar, S. (2021). Industry 4.0 technologies and their applications in fighting COVID-19. In R. Agrawal, M. Mittal, & L. M. Goyal (Eds.), Sustainability measures for COVID-19 pandemic. Springer. https://doi.org/10.1007/978-981-16-3227-3_13 DOI: https://doi.org/10.1007/978-981-16-3227-3_13

Permanasari, V. Y., Nadjib, M., Sjaaf, A. C., & Anjani, A. A. (2022). The response of local governments in financing related to the COVID-19 pandemic: A literature review. Journal of Public Health Research, 11, 9–15. https://doi.org/10.4081/jphr.2021.2620 DOI: https://doi.org/10.4081/jphr.2021.2620

Pineda, V. S., & Corburn, J. (2020). Disability, urban health equity, and the coronavirus pandemic: Promoting cities for all. Journal of Urban Health, 97, 336–341. DOI: https://doi.org/10.1007/s11524-020-00437-7

Policy and Society, 39(3), 285–308. https://doi.org/10.1080/14494035.2020.1787628 DOI: https://doi.org/10.1080/14494035.2020.1787628

Pramanik, M., Lau, R., Demirkan, H., & Azad, A. (2017). Smart health: Big data enabled health paradigm within smart cities. Expert Systems with Applications, 87, 370–383. DOI: https://doi.org/10.1016/j.eswa.2017.06.027

Pratama, A. B., Amber, H., Shershunovich, Y., & Castro, A. B. R. D. (2023). Do smart cities perform better in governing the COVID-19 crisis? Empirical evidence from Indonesian cities. Urban Governance, 3(1), 58–66. https://doi.org/10.1016/j.ugj.2023.02.003 DOI: https://doi.org/10.1016/j.ugj.2023.02.003

Rahman, S. H., Di, L., & Ul-Zannat, E. (2017). The role of big data in disaster management. In Proceedings of the Conference on Disaster Risk Mitigation. Dhaka, Bangladesh.

Ramaswami, A., et al. (2016). Meta-principles for developing smart, sustainable, and healthy cities. Science, 352(6288), 940–943. DOI: https://doi.org/10.1126/science.aaf7160

Rufat, S., Tate, E., Burton, C. G., & Maroof, A. S. (2015). Social vulnerability to floods: Review of case studies and implications for measurement. International Journal of Disaster Risk Reduction, 14, 470–489. DOI: https://doi.org/10.1016/j.ijdrr.2015.09.013

Salama, S. M. (2020). Coronavirus questions that will not go away: Interrogating urban and socio-spatial implications of COVID-19 measures. Emerald Open Research, 2(14). https://doi.org/10.35241/emeraldopenres.13561.1 DOI: https://doi.org/10.1108/EOR-05-2023-0006

Serikbayeva, B., Abdulla, K., & Oskenbayev, Y. (2021). State capacity in responding to COVID-19. International Journal of Public Administration, 44(11–12), 920–930. https://doi.org/10.1080/01900692.2020.1850778 DOI: https://doi.org/10.1080/01900692.2020.1850778

Sewerin, S., Cashore, B., & Howlett, M. (2022). New pathways to paradigm change in public policy: Combining insights from policy design, mix and feedback. Policy & Politics, 1–18. https://doi.org/10.1332/030557321X16528864819376 DOI: https://doi.org/10.1332/030557321X16528864819376

Sharifi, A. (2019). Urban form resilience: A meso-scale analysis. Cities, 93, 238–252. DOI: https://doi.org/10.1016/j.cities.2019.05.010

Sharifi, A., Khavarian-Garmsir, A. R., & Kummitha, R. K. R. (2021). Contributions of smart city solutions and technologies to resilience against the COVID-19 pandemic: A literature review. Sustainability, 13(14). https://doi.org/10.3390/su13148018 DOI: https://doi.org/10.3390/su13148018

Sharifi, A., & Yamagata, Y. (2018). Resilient urban form: A conceptual framework. Lecture Notes in Energy, 65. https://doi.org/10.1007/978-3-319-75798-8_9 DOI: https://doi.org/10.1007/978-3-319-75798-8_9

Shorfuzzaman, M., Hossain, M. S., & Alhamid, M. F. (2021). Towards the sustainable development of smart cities through mass video surveillance: A response to the COVID-19 pandemic. Sustainable Cities and Society, 64, 102582. DOI: https://doi.org/10.1016/j.scs.2020.102582

Chandra, S., Kassens-Noor, E., Kuljanin, G., & Vertalka, J. (2013). A geographic analysis of population density thresholds in the influenza pandemic of 1918–19. International Journal of Health Geographics, 12(9). DOI: https://doi.org/10.1186/1476-072X-12-9

Silva, G., et al. (2018). Technologies to combat Aedes mosquitoes: A model-based on smart city. In Nursing Informatics (pp. 129–133). IMIA and IOS Press.

Solanas, A., et al. (2014). Smart health: A context-aware health paradigm within smart cities. IEEE Communications Magazine. DOI: https://doi.org/10.1109/MCOM.2014.6871673

Aven, T. (2011). On some recent definitions and analysis frameworks for risk, vulnerability, and resilience. Risk Analysis, 31, 515–523. DOI: https://doi.org/10.1111/j.1539-6924.2010.01528.x

Tate, E. (2013). Uncertainty analysis for a social vulnerability index. Annals of the Association of American Geographers, 103(3), 526–543. DOI: https://doi.org/10.1080/00045608.2012.700616

Trenche, G., & Karvonen, A. (2019). Stretching smart: Advancing health and well-being through the smart city agenda. Local Environment, 24(7), 610–627. DOI: https://doi.org/10.1080/13549839.2017.1360264

Troisi, O., Fenza, G., Grimaldi, M., & Loia, F. (2022). COVID-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic. Computers in Human Behavior, 126, 106986. DOI: https://doi.org/10.1016/j.chb.2021.106986

United Nations Development Program. (2020). Jordan's National Defense Law and the COVID-19 pandemic.

Wei, E., Segall, J., Villanueva, Y., Dang, L. B., Gasca, V. I., Gonzalez, M. P., et al. (2020). Coping with trauma, celebrating life: Reinventing patient and staff support during the COVID-19 pandemic. Health Affairs, 39, 1597–1600. DOI: https://doi.org/10.1377/hlthaff.2020.00929

Weiss, L., Ompad, D., Galea, S., & Vlahov, D. (2007). Defining neighborhood boundaries for urban health research. NIH Public Access, 32(6). DOI: https://doi.org/10.1016/j.amepre.2007.02.034

World Bank Group: Education. (2020). The COVID-19 crisis response: Supporting tertiary education for continuity, adaptation, and innovation. http://pubdocs.worldbank.org/en/808621586532673333/WB-Tertiary-Ed-and-Covid-19-Crisis-for-public-use-April-9-FINAL.pdf

World Health Organization. (2020). Emergencies preparedness, response. https://www.who.int/csr/don/12-january-2020-novel-coronavirus-china/en/

World Health Organization. (2022). Learning from the COVID-19 response to strengthen health security and health systems resilience in the WHO South-East Asia Region. https://iris.who.int/handle/10665/363473

Wu, S., Wang, C., & Zhang, L. (2021). State capacity in response to COVID-19: A case study of China. Chinese Public Administration Review, 12(2), 152–159. DOI: https://doi.org/10.1177/153967542101200205

Yan, R., & Cao, F. (2022). Improving public health and governance in COVID-19 response: A strategic public procurement perspective. Frontiers in Public Health, 10, 897731. DOI: https://doi.org/10.3389/fpubh.2022.897731

Yang, S., & Chong, Z. (2021). Smart city projects against COVID-19: Quantitative evidence from China. Sustainable Cities and Society, 70, 102897. https://doi.org/10.1016/j.scs.2021.102897 DOI: https://doi.org/10.1016/j.scs.2021.102897

Yang, Z., Zeng, Z., Wang, K., Wong, S. S., Liang, W., Zanin, M., et al. (2020). Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions. Journal of Thoracic Disease, 12(3), 165–174. https://doi.org/10.21037/jtd.2020.02.64 DOI: https://doi.org/10.21037/jtd.2020.02.64

Yigitcanlar, T., Butler, L., Windle, E., Desouza, K. C., Mehmood, R., & Corchado, J. M. (2020). Can building "artificially intelligent cities" safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar's perspective. Sensors, 20, 2988. DOI: https://doi.org/10.3390/s20102988

Yu, M., & Yang, C. (2018). Big data in natural disaster management: A review. Geosciences, 8, 165. https://doi.org/10.3390/geosciences8050165 DOI: https://doi.org/10.3390/geosciences8050165

Liu, Z., Ma, R., & Wang, H. (2022). Journal of Safety Science and Resilience, 3, 93–104. DOI: https://doi.org/10.1016/j.jnlssr.2021.12.003

Zandbergen, D., & Uitermark, J. (2019). In search of the smart citizen: Republican and cybernetic citizenship in the smart city. Urban Studies, 57, 1–16. https://doi.org/10.1177/0042098019847410 DOI: https://doi.org/10.1177/0042098019847410

Zandvoort, M., van der Brugge, R., van der Vlist, M. J., & van den Brink, A. (2019). Dealing with uncertainty in collaborative planning: Developing adaptive strategies for the IJsselmeer. Journal of Environmental Planning and Management, 62, 248–265. DOI: https://doi.org/10.1080/09640568.2017.1409196

Downloads

Published

2025-07-14 — Updated on 2026-10-20

Versions

Issue

Section

Articles

How to Cite

Assessing the Efficiency of Smart Cities of COVID-19 Response Measures from a Comparative Perspective. (2026). Future Cities and Environment, 11. https://doi.org/10.70917/fce-2025-026 (Original work published 2025)