Assessing the Efficiency of Smart Cities of COVID-19 Response Measures from a Comparative Perspective
DOI:
https://doi.org/10.70917/fce-2025-026Keywords:
smart cities, COVID-19, epidemics, urban planning, pandemics responds, resilienceAbstract
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: Natural Disaster Management in
Malaysia, Conference proceeding: 2nd International Conference on Internet of Things, Big Data and
Security. https://doi.org/10.5220/000636720406041122.
Abusaada, H., Elshater, A. 2020. COVID-19 Challenge, Information Technologies, and Smart Cities: Considerations
for Well-Being. Int. Journal of Com. WB 3, 417–424.
Acuto, M.; Larcom, S.; Keil, R.; Ghojeh, M.; Lindsay, T.; Camponeschi, C.; Parnell, S. 2020. Seeing COVID-19
through an urban lens. Nat. Sustain. 3, 977–978.
Alkhaffaf, M., Almomani, H. 2021. Role of Intelligent Technology in Crisis Management: Systematic Literature
Review the Case of Coronavirus. In: Alshurideh, M., Hassanien, A.E., Masa'deh, R. (eds) The Effect of
Coronavirus Disease (COVID-19) on Business Intelligence. Studies in Systems, Decision and Control, vol
334. Springer, Cham. https://doi-org.proxy2.library.illinois.edu/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.
Allam, Z. and 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)
Allam, Z., Tegally, H. and Thondoo, M. 2019. "Redefining the Use of Big Data in Urban Health for Increased
Liveability in Smart Cities", Smart Cities, 2: 259-268.
Alshurideh, M. T., Hassanien, A. E., & Masa’deh, R. (Eds.). 2021. The effect of coronavirus disease (COVID-19)
on business intelligence. Springer
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
Anisetti, M., Ardagna, C., Bellandi, V., Cremonini, M., and 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.
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. [CrossRef]
[Google Scholar]
B. Aguirre .2020. Review of disasters: a sociological approach by kathleen tierney, Nat. Hazard. Rev. 21 (1).
Babbies, E. 2010. The practice of social research. Belmont: 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.
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.
Capano G., Howlett, M., Jarvis, D.S.L., Ramesh M., Goyal N.CénatJ. M. 2020. The vulnerability of low-and middleincome 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
Cheshmehzangi, Ali., Sedrez, Maycon., Zhao, Hang., Li, Tian., Heath, Tim., & Dawodu, Ayotunde. (2024).
Resilience vs Pandemics Innovations in Public Places and Buildings (1st ed. 2024). Springer Nature
Singapore.
Cities and Pandemics: Towards a More Just, Green and Healthy Future; United Nations Human Settlements
Programme: Nairobi, Kenya. 2021. Available online: https://unhabitat.org/cities-and-pandemics-towardsa-more-just-green-and-healthy-future-0 (accessed on August 1, 2023).
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. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
24
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.
Cugurullo F. Routledge. 2021. Frankenstein urbanism: Eco, smart and autonomous cities, artificial intelligence and
the end of the city. [Google Scholar]
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
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.smarturbanintermediaries.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. Sustain. Cities Soc. 2021;71:102993. https://doi.org/10.1016/j.scs..102993. [PMC
free article] [PubMed] [CrossRef] [Google Scholar]
El-Kholei, A. (2019).Risks, Hazards, and Disasters: Can a Smart City be Resilient?", Smart Cities: Issues and
Challenges, Mapping Political, Social and Economic Risks and Threats 125-146.
Ezzati M, Webster CJ, Doyle YG, Rashid S, Owusu G, Leung GM. 2018. Cities for global health. British Medical
Journal. 363: k3794. https://doi.org/10.1136/bmj.k3794 PMID: 30282765
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. J. Urban Technol. 23, 43–
67.
Fletcher -Lartey, S. and Caprarelli, G. 2016. Application of GIS Technology in Public Health: Successes and
Challenges", Parasitology, 143: 401–415.
Freudenberg, N., Galea, S. and 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.
Füller, H. 2016. Pandemic Cities: Biopolitical Effects of Changing Infection Control in Post‐SARS Hong Kong",
The Geographical Journal, 182(4): 342–352.
Gao, Z., Jiang, Y., He, J. et al.. 2022. An AHP-based regional COVID-19 vulnerability model and its application in
China. Model. Earth Syst. Environ. 8, 2525–2538.
Giles-Corti, B. et al. 2016. City Planning and Population Health: a Global Challenge", The Lancet, 388: 2912-2924.
Goyal N.2021. Howlett M. 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. [CrossRef] [Google Scholar]
Greater Amman Municipality. .2020. Institutional Performance and Resilience Report on Oman in the Face of the
Coronavirus,
Greater Amman Municipality and 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. 2022;127
https://doi.org/10.1016/j.cities.103767. (London, England) [PMC free article] [PubMed] [CrossRef]
[Google Scholar]
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
Houdijk, R. 2010. Regional risk assessment in The Netherlands-‐an introduction. The Hague, 13.
https://doi.org/10.1007/978-981-99-8672-9.
ILO. 2021.Impact of the COVID-19 pandemic on companies in Jordan: one year after the Pandemic.
J. Birkmann.2014. Assessment of vulnerability to natural hazards introduction vulnerability: a key determinant of
risk and its importance for risk management and sustainability, Assess. Vulnerability to Natural Hazards
9–14.
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. [CrossRef] [Google
Scholar
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
Kang, M., Choi, Y., Kim, J., Lee, K. O., Lee, S., Park, I. K., … Seo, I. 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
Kitazawa, K.; Hale, S.A. 2021.Social media and early warning systemsfor natural disasters: A case study of Typhoon
Etau in Japan. Int. J. Disaster Risk Reduct. 52, 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.
https://www.emerald.com/insight/publication/doi/10.1108/9781787691391
25
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
Levenda, A.M.; Keough, N.; Rock, M.; Miller, B. 2020. Rethinking public participation in the smart city. Can. Geogr.
Le Géographe Can. 64, 344–358.
Li, F. 2022. Disconnected in a pandemic: COVID-19 outcomes and the digital divide in the United States. Health
Place 77, 102867. [Google Scholar] [CrossRef]
Lii Inn, T. 2020. Smart City Technologies Take on COVID-19. Penang Institute Issues, Penang: Malaysia
M. Hagelsteen, P. 2013. Becker, Challenging disparities in capacity development for disaster risk reduction, Int. J.
Disaster Risk Reduct. (3) 4–11
Margarita Angelidou, Artemis Psaltoglou, Nicos Komninos, Christina Kakderi, Panagiotis Tsarchopoulos, Anastasia
Panori. 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 Permanent link t o t
his document: 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 PostPandemic Society?. International journal of environmental research and public health, 17(21), 8276.
https://doi.org/10.3390/ijerph17218276
Matthew, R. and McDonald, B. 2007. Cities under Siege: Urban Planning and the Threat of Infectious Disease",
Journal of American Planning Association, 72(1): 109–117.
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
Mobilizing policy (In)capacity to fight COVID-19: Understanding variations in state responses
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. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
Mullick, M.; Patnaik .2022.A. Pandemic management, citizens and the Indian Smart cities: Reflections from the
right to the smart city and the digital divide. City Cult. Soc. 30, 100474. [Google Scholar] [CrossRef]
N. Liao and M. Nawaz. 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 (2024),
https://doi.org/10.1016/j.jnlssr.2023.12.005
National University of Colombia-ManizalesInter-American Development Bank .2005. System of Indicators for
Disaster Risk Management: Program for Latin America and the Caribbean Main Technical Report
[EB/OL], http://idea.unalmzl. Edu.co -08-01.
National Voluntary Review of Jordan, version 16/4/2022 (unpublished).
Neiderud CJ.2015. How urbanization affects the epidemiology of emerging infectious diseases. Infection Ecology
and Epidemiology. 2015. 5:27060. https://doi.org/10.3402/iee.v5.27060 PMID: 26112265
Obinikpo, A. and 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.
OECD .2020. Measuring smart cities' performance: Do smart cities benefit everyone? In Scoping Note: 2nd OECD
Roundtable on Smart Cities and Inclusive Growth; OECD: Paris, France, 2020; Available online:
https://www.oecd.org/cfe/cities/Smart-cities-measurement-framework-scoping.pdf (accessed on August 1,
2022).
Okoli, C. & Pawlowski, S. D. 2004. The Delphi method as a research tool: an example, design considerations and
applications. Information & amp; Management, 42, 15-29.
Palwe, S., Sirsikar, S. 2021. Industry 4.0 Technologies and Their Applications in Fighting COVID-19. In: Agrawal,
R., Mittal, M., Goyal, L.M. (eds) Sustainability Measures for COVID-19 Pandemic. Springer, Singapore.
https://doi-org.proxy2.library.illinois.edu/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. [PMC free article] [PubMed] [CrossRef] [Google Scholar]
Pineda, V.S.; Corburn, J. 2020. Disability, urban health equity, and the coronavirus pandemic: Promoting cities for
all. J. Urban Health. 97, 336–341. [Google Scholar] [CrossRef] [Green Version]
Policy and Society, 39 (3) pp. 285-308, 10.1080/14494035.2020.1787628
Pramanika, M., Laua, R., Demirkan, H. and Azad, A. 2017.Smart Health: Big Data Enabled Health Paradigm within
Smart Cities", Experts Systems with Application, 87: 370-383.
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
Rahman, S.H., Di, L., Ul-Zannat, E. 2017. The role of big data in disaster management. In: Proceeding of Conference
Proceeding: on Disaster Risk Mitigation, At: Dhaka, Bangladesh
Ramaswami, A. et al.. 2016. "Meta-principles for Developing Smart, Sustainable, and Healthy Cities", Science, 352
(6288): 940-943.
S. Rufat, E. Tate, C.G. Burton, A.S. Maroof. 2015. Social vulnerability to floods: review of case studies and
implications for measurement, Int. J. Disaster Risk Reduct. 14, 470–489.
26
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
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.
[CrossRef] [Google Scholar]
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. [CrossRef] [Google Scholar]
Sharifi A. 2019. Urban form resilience: A meso-scale analysis. Cities. 93:238–252. (London, England) [Google
Scholar]
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 (Switzerland) 13(14)
https://doi.org/10.3390/su13148018. [CrossRef] [Google Scholar
Sharifi A.,YamagataY. 2018. Resilient urban form: A conceptual framework. Lecture Notes in Energy. 2018;65
https://doi.org/10.1007/978-3-319-75798-8_9. [CrossRef] [Google Scholar]
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. Sustain. Cities Soc. 2021, 64,
102582. [Google Scholar] [CrossRef] [PubMed]
Siddharth Chandra, S., Kassens-Noor, E., Kuljanin, G. and Vertalka, J. 2013. A Geographic Analysis of Population
Density Thresholds in the Influenza Pandemic of 1918–19. International Journal of Health Geographics,
12(9).
Silvaa, G. et al. 2018. Technologies to Combat Aedes Mosquitoes: A Model-Based on Smart City. Nursing
Informatics, International Medical Informatics Association (IMIA) and IOS Press, 129-133.
Solanas, A. et al. 2014. Smart Health: A Context-Aware Health Paradigm within Smart Cities. IEEE
Communications Magazine.
T. Aven. 2011. On some recent definitions and analysis frameworks for risk, vulnerability, and resilience, Risk Anal.
31, 515–523.
T. Eric. 2013. Uncertainty analysis for a social vulnerability index. Ann. Assoc. Am. Geogr. 103 (3) 526–543.
Trenche, G. and Karvonen, A. 2019. Stretching Smart: Advancing Health and Well-being through the Smart City
Agenda. Local Environment - The International Journal of Justice and Sustainability, 24(7): 610-627.
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. Compute. Hum. Behav. 126, 106986. [Google Scholar] [CrossRef]
[PubMed]
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.; Roman, M.; Mendez-Justiniano, I.;
Cohen, A.G.; Cho, H.J. 2020 .Coping With Trauma, Celebrating Life: Reinventing Patient And Staff
Support During The COVID-19 Pandemic. Health Aff. 39, 1597–1600.
Weiss, L., Ompad, D., Galea, S. and Vlahov, D. 2007. Defining Neighborhood Boundaries for Urban Health
Research. NIH Public Access, 32(6)
World Bank Group: Education. 2020. The COVID-19 Crisis Response: Supporting tertiary Education for continuity,
adaptation, and innovation. Retrieved from: http://pubdocs.worldbank.org: 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. Retrieved from who.int:
https://www.who.int/csr/don/12-january-2020-novel-coronavirus-china/en/.
World Health Organization. 2022. Regional Office for South-East Asia. Learning from the COVID-19 response to
strengthen health security and health systems resilience in the WHO South-East Asia Region. World
Health Organization. Regional Office for South-East Asia. 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. [Google Scholar]
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.
Yang S., Chong Z. 2021. Smart city projects against COVID-19: Quantitative evidence from China. Sustainable
Cities and Society. 70 https://doi.org/10.1016/j.scs.2021.102897. [PMC free article] [PubMed] [CrossRef]
[Google Scholar]
Yang, S.; Chong, Z. 2021. Smart city projects against COVID-19: Quantitative evidence from China. Sustain. Cities
Soc. 70, 102897. [Google Scholar] [CrossRef] [PubMed]
Yang, Z., Zeng, Z., Wang, K., Wong, S. S., Liang, W., Zanin, M., Liu, P., Cao, X., Gao, Z., Mai, Z., Liang, J., Liu,
X., Li, S., Li, Y., Ye, F., Guan, W., Yang, Y., Li, F., Luo, S., Xie, Y., … He, J. 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
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 2020, 20, 2988. [Google Scholar] [CrossRef]
Yu, M., Yang, C. 2018.Big Data in natural disaster management: a review. Geosci. Rev. MDPA, 8, 165.
https://doi.org/10.3390/geosciences8050165
27
Z. Liu, R. Ma and H. Wang. 2022. Journal of Safety Science and Resilience. 3, 93–104 [23] R. Houdijk, in: Regional
risk assessment in The Netherlands – an introduction, The Hague, 2010, p. 13.
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.
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. J. Environ. Plan. Manag. 62,
248–265.
Zifeng Yang, e. a. 2020. Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under
public health interventions. Journal of Thoracic Disease, pp. 165-174.
Downloads
Published
Versions
- 2026-10-20 (3)
- 2026-10-19 (2)
- 2025-07-14 (1)
Issue
Section
License
Copyright (c) 2025 Future Cities and Environment

This work is licensed under a Creative Commons Attribution 4.0 International License.