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A spatiotemporal approach for determining disaster-risk potential based on damage consequences of multiple hazard events

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  • Pedcris M. Orencio
  • Masahiko Fujii

Abstract

Natural hazards have become increasingly frequent in the Philippines, making the determination of risks associated with large-scale natural hazards and disasters in this area increasingly important. This study developed a method for estimating the risk of disasters from multiple hazards in this country at the province level. The locational probability and consequences of five natural hazards were analyzed over a 30-year period (1982-2011), and the disaster-risk potential of provinces was estimated based on the combined damage cost per capita from five hazards over that period. Information from the Center for Research on the Epidemiology of Disasters Emergency Disasters Database (CRED-EMDAT) was used to analyze the areas and populations affected, damage costs, and frequency and duration of five hazards (i.e. meteorological, climatological, hydrological, geophysical, and biological). The estimated values were then presented spatially using a geographic information system. The results suggested that meteorological hazards were the most common hazards affecting most provinces in the Philippines, whereas hydrological hazards produced the most damage. Small island provinces and coastal zones were among the areas with the highest disaster-risk potential. This assessment can aid in decision making with regard to financing disaster prevention schemes and in planning for the increasing occurrences of natural hazard-related disasters.

Suggested Citation

  • Pedcris M. Orencio & Masahiko Fujii, 2014. "A spatiotemporal approach for determining disaster-risk potential based on damage consequences of multiple hazard events," Journal of Risk Research, Taylor & Francis Journals, vol. 17(7), pages 815-836, August.
    • Handle: RePEc:taf:jriskr:v:17:y:2014:i:7:p:815-836
    DOI: 10.1080/13669877.2013.816334
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    References listed on IDEAS

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    1. Stéphane Hallegatte & Valentin Przyluski, 2010. "The Economics of Natural Disasters," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 11(02), pages 14-24, July.
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    Cited by:

    1. Pedcris M. Orencio & Aiko Endo & Makoto Taniguchi & Masahiko Fujii, 2016. "Using Thresholds of Severity to Threats to and the Resilience of Human Systems in Measuring Human Security," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 979-999, December.
    2. Arshavir Avagyan & Hasmik Manandyan & Aleksandr Arakelyan & Artak Piloyan, 2018. "Toward a disaster risk assessment and mapping in the virtual geographic environment of Armenia," 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. 92(1), pages 283-309, May.

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