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A disaster risk management performance index

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  • Martha Carreño
  • Omar Cardona
  • Alex Barbat

Abstract

The Risk Management Index, RMI, proposed in this paper, brings together a group of indicators that measure risk management performance and effectiveness. These indicators reflect the organizational, development, capacity and institutional actions taken to reduce vulnerability and losses in a given area, to prepare for crisis and to recover efficiently from disasters. This index is designed to assess risk management performance. It provides a quantitative measure of management based on predefined qualitative targets or benchmarks that risk management efforts should aim to achieve. The design of the RMI involved establishing a scale of achievement levels or determining the distance between current conditions and an objective threshold or conditions in a reference country, sub-national region, or city. The proposed RMI is constructed by quantifying four public policies, each of which is described by six indicators. The mentioned policies include the identification of risk, risk reduction, disaster management, and governance and financial protection. Risk identification comprises the individual perception, social representation and objective assessment; risk reduction involves the prevention and mitigation; disaster management comprises response and recovery; and, governance and financial protection policy is related to institutionalization and risk transfer. Results at the urban, national and sub-national levels, which illustrate the application of the RMI in those scales, are finally given. Copyright Springer Science+Business Media B.V. 2007

Suggested Citation

  • Martha Carreño & Omar Cardona & Alex Barbat, 2007. "A disaster risk management performance index," 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. 41(1), pages 1-20, April.
  • Handle: RePEc:spr:nathaz:v:41:y:2007:i:1:p:1-20
    DOI: 10.1007/s11069-006-9008-y
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    Cited by:

    1. Iskender Peker & Ilker Murat AR & Ismail Erol & Cory Searcy, 2023. "Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework," Operations Management Research, Springer, vol. 16(2), pages 642-667, June.
    2. Jorge Arnaldo Troche-Escobar & Herman Augusto Lepikson & Francisco Gaudêncio Mendonça Freires, 2018. "A Study of Supply Chain Risk in the Brazilian Wind Power Projects by Interpretive Structural Modeling and MICMAC Analysis," Sustainability, MDPI, vol. 10(10), pages 1-24, September.
    3. Viviana Maura Santos & Cláudio Henrique Santos Grecco & Ricardo José Matos Carvalho & Paulo Victor Rodrigues Carvalho, 2020. "A fuzzy model to assess the resilience of Protection and Civil Defense Organizations," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(3), pages 735-759, June.
    4. Hoang Long Nguyen & Rajendra Akerkar, 2020. "Modelling, Measuring, and Visualising Community Resilience: A Systematic Review," Sustainability, MDPI, vol. 12(19), pages 1-26, September.
    5. Linpei Zhai & Jae Eun Lee, 2023. "Analyzing the Disaster Preparedness Capability of Local Government Using AHP: Zhengzhou 7.20 Rainstorm Disaster," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    6. Paolo Gardoni & Colleen Murphy, 2014. "A Scale of Risk," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1208-1227, July.
    7. Saud Alshehri & Yacine Rezgui & Haijiang Li, 2015. "Delphi-based consensus study into a framework of community resilience to disaster," 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. 75(3), pages 2221-2245, February.
    8. P. Debels & C. Szlafsztein & P. Aldunce & C. Neri & Y. Carvajal & M. Quintero-Angel & A. Celis & A. Bezanilla & D. Martínez, 2009. "IUPA: a tool for the evaluation of the general usefulness of practices for adaptation to climate change and variability," 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. 50(2), pages 211-233, August.
    9. World Bank, 2011. "Calculating Multi-hazard City Risk," World Bank Publications - Reports 27152, The World Bank Group.
    10. Riyanti Djalante & Cameron Holley & Frank Thomalla & Michelle Carnegie, 2013. "Pathways for adaptive and integrated disaster 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. 69(3), pages 2105-2135, December.
    11. Liu, Chiung-Lin & Shang, Kuo-Chung & Lirn, Taih-Cherng & Lai, Kee-Hung & Lun, Y.H. Venus, 2018. "Supply chain resilience, firm performance, and management policies in the liner shipping industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 202-219.
    12. F. Daupras & J. Antoine & S. Becerra & A. Peltier, 2015. "Analysis of the robustness of the French flood warning system: a study based on the 2009 flood of the Garonne River," 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. 75(1), pages 215-241, January.
    13. L. P. Zhang & P. Zhou, 2019. "Reassessment of global climate risk: non-compensatory or compensatory?," 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. 95(1), pages 271-287, January.
    14. C. Velásquez & O. Cardona & M. Mora & L. Yamin & M. Carreño & A. Barbat, 2014. "Hybrid loss exceedance curve (HLEC) for disaster risk assessment," 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. 72(2), pages 455-479, June.
    15. Alex de Sherbinin & Guillem Bardy, 2015. "Social vulnerability to floods in two coastal megacities: New York City and Mumbai," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 13(1), pages 131-165.
    16. Suleiman Hassan Otuoze & Dexter V. L. Hunt & Ian Jefferson, 2021. "Neural Network Approach to Modelling Transport System Resilience for Major Cities: Case Studies of Lagos and Kano (Nigeria)," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    17. Mohammed Abdul-Rahman & Wale Alade & Shahnawaz Anwer, 2023. "A Composite Resilience Index (CRI) for Developing Resilience and Sustainability in University Towns," Sustainability, MDPI, vol. 15(4), pages 1-27, February.

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