Stages of Disaster Response under Technology and Climate Change: A Comparative Study between China and the United States based on the Resilience and Vulnerability Framework
Abstract
phase, focusing on the case studies of earthquake and flood management in China and the United States. The Resilience and Vulnerability
Framework study found that while technological advances have significant advantages in improving response efficiency, unequal resource
distribution and inadequate infrastructure contribute to further social vulnerability. At the same time, the extreme nature of climate change
increases management complexity and challenges the adaptive capacity of existing disaster response systems. This paper points out that
technology application and management models (centralization and decentralization) have their advantages and disadvantages, and future
disaster management should seek a balance between short-term efficiency and long-term equity. The paper proposes policy recommendations to optimize technology coverage, enhance resilience, and promote international cooperation to improve equity and resilience in global disaster management.
Keywords
Full Text:
PDFReferences
[1] Berke, P.R., Kartez, J. and Wenger, D. (1993) Recovery after disaster: Achieving Sustainable Development, mitigation and equity, Disasters, 17(2), pp. 93109. doi:10.1111/j.1467-7717.1993.tb01137.x.
[2] Clark-Ginsberg, A. et al. (2021) When disaster management agencies create disaster risk: A case study of the uss Federal Emergency
Management Agency, Disaster Prevention and Management: An International Journal, 30(4/5), pp. 447461. doi:10.1108/dpm-03-
2021-0067.
[3] Dargin, J.S. and Mostafavi, A. (2020) Human-centric infrastructure resilience: Uncovering well-being risk disparity due to infrastructure disruptions in disasters, PLOS ONE, 15(6). doi:10.1371/journal.pone.0234381. Fan, B.Y., Li, Z.H. and Liu, T.X., 2008. Application
and development proposition of Beidou Satellite Navigation System in the rescue of Wenchuan earthquake. Spacecraft Eng, 17(4), pp.6-
13.
[4] Doke, K. et al. (2020) Supporting resilience in rural emergency preparedness and response through Improved Information Access,
GetMobile: Mobile Computing and Communications, 24(2), pp. 511. doi:10.1145/3427384.3427386.
[5] Duan, R. et al. (2023) Record-breaking heavy rainfall around Henan Province in 2021 and future projection of extreme conditions under climate change, Journal of Hydrology, 625, p. 130102. doi:10.1016/j.jhydrol.2023.130102.
[6] Finucane, M.L. et al. (2020) Short-term solutions to a long-term challenge: Rethinking disaster recovery planning to reduce vulnerabilities and inequities, International Journal of Environmental Research and Public Health, 17(2), p. 482. doi:10.3390/ijerph17020482.
[7] Greve, A.I. (2016) Sustainable development, climate change adaptation and disaster management, Disaster Risk Reduction, pp. 1336.
doi:10.1007/978-4-431-55078-5_2.
[8] Guan, P. and Zhuang, J. (2015) Modeling publicprivate partnerships in disaster management via centralized and decentralized models, Decision Analysis, 12(4), pp. 173189. doi:10.1287/deca.2015.0319.
[9] Klein, T.A. (2023) Ems disaster response, StatPearls [Internet]. Available at: https://www.ncbi.nlm.nih.gov/books/NBK560710/ (Accessed: 01 December 2024).
[10] Lavell, A. and Maskrey, A. (2014) The Future of Disaster Risk Management, Environmental Hazards, 13(4), pp. 267280. doi:10.1080
/17477891.2014.935282.
[11] Morrow, B.H. (1999) Identifying and mapping community vulnerability, Disasters, 23(1), pp. 118. doi:10.1111/1467-7717.00102.
[12] Paton, D., Smith, L. and Violanti, J. (2000) Disaster response: Risk, vulnerability and resilience, Disaster Prevention and Management: An International Journal, 9(3), pp. 173180. doi:10.1108/09653560010335068.
[13] Moline, J.N., 2014. Data-driven resource allocation decisions: FEMAs disaster recovery centers (Doctoral dissertation, Massachusetts
Institute of Technology).
[14] Ngamassi, L. et al. (2022) Text mining hurricane harvey tweet data: Lessons learned and policy recommendations, International Journal of Disaster Risk Reduction, 70, p. 102753. doi:10.1016/j.ijdrr.2021.102753.
[15] Peacock, W.G. et al. (2014) Inequities in long-term housing recovery after disasters, Journal of the American Planning Association,
80(4), pp. 356371. doi:10.1080/01944363.2014.980440.
[16] Rachunok, B. and Nateghi, R. (2021) Overemphasis on recovery inhibits community transformation and creates resilience traps, Nature Communications, 12(1). doi:10.1038/s41467-021-27359-5.
[17] Sun, J. and Zhang, Z. (2020) A post-disaster Resource Allocation Framework for improving resilience of interdependent infrastructure
networks, Transportation Research Part D: Transport and Environment, 85, p. 102455. doi:10.1016/j.trd.2020.102455.
[18] Sunarto, S. et al. (2024) Quadrant of difficulty and usefulness for prioritizing community-based disaster preparedness parameter elements, Rawal Medical Journal, 49(1), p. 172. doi:10.5455/rmj.20230918043333.
[19] Wiederhold, B.K. (2013) In a disaster, social media has the power to save lives, Cyberpsychology, Behavior, and Social Networking,
16(11), pp. 781782. doi:10.1089/cyber.2013.1532.
[20] Waterman, S. and Birkland, T. (2016) Cognitive underpinnings of Resilience: A case study of group decision in emergency response,
Resilience Engineering Perspectives, pp. 179204. doi:10.1201/9781315244389-11.
[21] Weiner, E. and Slepski, L.A. (2012) The role of Technology and Informatics in Disaster Planning and Response, Annual Review of
Nursing Research, 30(1), pp. 149168. doi:10.1891/0739-6686.30.149.
[22] Zhao, X., Li, H. and Qi, Y. (2022) Are Chinese cities prepared to manage the risks of extreme weather events? evidence from the
2021.07.20 zhengzhou flood in Henan Province, SSRN Electronic Journal [Preprint]. doi:10.2139/ssrn.4043303.
[23] Zhang, L. et al. (2010) Rescue efforts management and characteristics of casualties of the wenchuan earthquake in China, Emergency
Medicine Journal, 28(7), pp. 618622. doi:10.1136/emj.2009.087296.
[24] Author Information: Jingzhe Yang(2002.09), male, Han ethnic group, Beijing, Masters degree student; Research direction: International
Disaster Management.
DOI: http://dx.doi.org/10.70711/frim.v3i1.5867
Refbacks
- There are currently no refbacks.
