IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v38y2018i1p31-42.html
   My bibliography  Save this article

Resilience Analysis of Countries under Disasters Based on Multisource Data

Author

Listed:
  • Nan Zhang
  • Hong Huang

Abstract

Disasters occur almost daily in the world. Because emergencies frequently have no precedent, are highly uncertain, and can be very destructive, improving a country's resilience is an efficient way to reduce risk. In this article, we collected more than 20,000 historical data points from disasters from 207 countries to enable us to calculate the severity of disasters and the danger they pose to countries. In addition, 6 primary indices (disaster, personal attribute, infrastructure, economics, education, and occupation) including 38 secondary influencing factors are considered in analyzing the resilience of countries. Using these data, we obtained the danger, expected number of deaths, and resilience of all 207 countries. We found that a country covering a large area is more likely to have a low resilience score. Through sensitivity analysis of all secondary indices, we found that population density, frequency of disasters, and GDP are the three most critical factors affecting resilience. Based on broad‐spectrum resilience analysis of the different continents, Oceania and South America have the highest resilience, while Asia has the lowest. Over the past 50 years, the resilience of many countries has been improved sharply, especially in developing countries. Based on our results, we analyze the comprehensive resilience and provide some optimal suggestions to efficiently improve resilience.

Suggested Citation

  • Nan Zhang & Hong Huang, 2018. "Resilience Analysis of Countries under Disasters Based on Multisource Data," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 31-42, January.
  • Handle: RePEc:wly:riskan:v:38:y:2018:i:1:p:31-42
    DOI: 10.1111/risa.12807
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.12807
    Download Restriction: no

    File URL: https://libkey.io/10.1111/risa.12807?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu & Peijun Shi, 2014. "Local Spatial and Temporal Factors Influencing Population and Societal Vulnerability to Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(4), pages 614-639, April.
    2. Sunil Prashar & Rajib Shaw & Yukiko Takeuchi, 2012. "Assessing the resilience of Delhi to climate-related disasters: a comprehensive approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1609-1624, November.
    3. David Cyranoski, 2011. "Japan faces up to failure of its earthquake preparations," Nature, Nature, vol. 471(7340), pages 556-557, March.
    4. Stephanie E. Chang & Timothy McDaniels & Jana Fox & Rajan Dhariwal & Holly Longstaff, 2014. "Toward Disaster‐Resilient Cities: Characterizing Resilience of Infrastructure Systems with Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 34(3), pages 416-434, March.
    5. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    6. J. Park & T. P. Seager & P. S. C. Rao & M. Convertino & I. Linkov, 2013. "Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 356-367, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vladimir M. Cvetković & Vanja Šišović, 2024. "Understanding the Sustainable Development of Community (Social) Disaster Resilience in Serbia: Demographic and Socio-Economic Impacts," Sustainability, MDPI, vol. 16(7), pages 1-34, March.
    2. Yin, Jiateng & Ren, Xianliang & Liu, Ronghui & Tang, Tao & Su, Shuai, 2022. "Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    3. Huali Pan & Yuxin Yang & Wei Zhang & Mingzhi Xu, 2024. "Research on Coupling Coordination of China’s Urban Resilience and Tourism Economy—Taking Yangtze River Delta City Cluster as an Example," Sustainability, MDPI, vol. 16(3), pages 1-27, February.
    4. Matt Boyd & Nick Wilson, 2020. "The Prioritization of Island Nations as Refuges from Extreme Pandemics," Risk Analysis, John Wiley & Sons, vol. 40(2), pages 227-239, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiao‐Bing Hu & Hang Li & XiaoMei Guo & Pieter H. A. J. M. van Gelder & Peijun Shi, 2019. "Spatial Vulnerability of Network Systems under Spatially Local Hazards," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 162-179, January.
    2. Timothy L. McDaniels & Stephanie E. Chang & David Hawkins & Gerard Chew & Holly Longstaff, 2015. "Towards disaster-resilient cities: an approach for setting priorities in infrastructure mitigation efforts," Environment Systems and Decisions, Springer, vol. 35(2), pages 252-263, June.
    3. H. Klammler & P. S. C. Rao & K. Hatfield, 2018. "Modeling dynamic resilience in coupled technological-social systems subjected to stochastic disturbance regimes," Environment Systems and Decisions, Springer, vol. 38(1), pages 140-159, March.
    4. Dubaniowski, Mateusz Iwo & Heinimann, Hans Rudolf, 2021. "Framework for modeling interdependencies between households, businesses, and infrastructure system, and their response to disruptions—application," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    5. Mohammad Abdul Quader & Amanat Ullah Khan & Matthieu Kervyn, 2017. "Assessing Risks from Cyclones for Human Lives and Livelihoods in the Coastal Region of Bangladesh," IJERPH, MDPI, vol. 14(8), pages 1-26, July.
    6. Seunghoo Jeong & D. K. Yoon, 2018. "Examining Vulnerability Factors to Natural Disasters with a Spatial Autoregressive Model: The Case of South Korea," Sustainability, MDPI, vol. 10(5), pages 1-13, May.
    7. Yifan Yang & S. Thomas Ng & Frank J. Xu & Martin Skitmore & Shenghua Zhou, 2019. "Towards Resilient Civil Infrastructure Asset Management: An Information Elicitation and Analytical Framework," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    8. Ioanna Ioannou & Jaime E. Cadena & Willy Aspinall & David Lange & Daniel Honfi & Tiziana Rossetto, 2022. "Prioritization of hazards for risk and resilience management through elicitation of expert judgement," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2773-2795, July.
    9. Contreras, Diana & Bhamidipati, Srirama & Wilkinson, Sean, 2023. "Social vulnerability and spatial inequality in access to healthcare facilities: The case of the Santiago Metropolitan Region (RMS), Chile," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    10. Corinne Curt & Jean‐Marc Tacnet, 2018. "Resilience of Critical Infrastructures: Review and Analysis of Current Approaches," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2441-2458, November.
    11. Mattia Amadio & Jaroslav Mysiak & Sepehr Marzi, 2019. "Mapping Socioeconomic Exposure for Flood Risk Assessment in Italy," Risk Analysis, John Wiley & Sons, vol. 39(4), pages 829-845, April.
    12. Joseph Karanja & Lawrence M. Kiage, 2022. "Scale implications and evolution of a social vulnerability index in Atlanta, Georgia, USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 789-812, August.
    13. Sisi Meng & Pallab Mozumder, 2021. "Hurricane Sandy: Damages, Disruptions and Pathways to Recovery," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 223-247, July.
    14. Juri Kim & Tae-Hyoung Tommy Gim, 2020. "Assessment of social vulnerability to floods on Java, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(1), pages 101-114, May.
    15. Nader Naderpajouh & David J. Yu & Daniel P. Aldrich & Igor Linkov & Juri Matinheikki, 2018. "Engineering meets institutions: an interdisciplinary approach to the management of resilience," Environment Systems and Decisions, Springer, vol. 38(3), pages 306-317, September.
    16. Xuchao Yang & Lin Lin & Yizhe Zhang & Tingting Ye & Qian Chen & Cheng Jin & Guanqiong Ye, 2019. "Spatially Explicit Assessment of Social Vulnerability in Coastal China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    17. Yi Ge & Wen Dou & Xiaotao Wang & Yi Chen & Ziyuan Zhang, 2021. "Identifying urban–rural differences in social vulnerability to natural hazards: a case study of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(3), pages 2629-2651, September.
    18. Juan Zhang & Mingyuan Zhang & Gang Li, 2021. "Multi-stage composition of urban resilience and the influence of pre-disaster urban functionality on urban resilience," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 447-473, May.
    19. Chien-Hao Sung & Shyue-Cherng Liaw, 2021. "Using Spatial Pattern Analysis to Explore the Relationship between Vulnerability and Resilience to Natural Hazards," IJERPH, MDPI, vol. 18(11), pages 1-16, May.
    20. Nicolás C. Bronfman & Paula B. Repetto & Nikole Guerrero & Javiera V. Castañeda & Pamela C. Cisternas, 2021. "Temporal evolution in social vulnerability to natural hazards in Chile," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(2), pages 1757-1784, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:38:y:2018:i:1:p:31-42. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.