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Assessing the effectiveness of a social vulnerability index in predicting heterogeneity in the impacts of natural hazards: Case study of the Tropical Storm Washi flood in the Philippines

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  • J. Andres F. Ignacio
  • Grace T. Cruz
  • Fernando Nardi
  • Sabine Henry

Abstract

As global warming and climate change predictions become increasingly certain, there is mounting pressure to gain a better understanding of disaster risk. Climate change is seen as a major contributing factor in the recent increases in the losses and damages attributed to hazard extremes. Vulnerability is one of the key components of risk. Yet identifying who the vulnerable segments of the population are, and to which specific hazards different groups are vulnerable, remains a challenge. Measuring social vulnerability has become an active area of research, with scholars attempting to capture the differential vulnerabilities of the population exposed to certain hazards. To address these research challenges, we developed in this study social vulnerability indices at the most basic level of governance in the Philippines using raw, individual-level census data for the entire country. Our goal in conducting this research is to establish relationships between the derived vulnerability measurements and flood exposure and the impacts of coastal flash floods triggered by Tropical Storm Washi in the southern Philippines in December 2011. We find that exposure rather than vulnerability appears to play a greater role in the magnitude of the losses and damages resulting from this particular type of hazard at the localized scale.

Suggested Citation

  • J. Andres F. Ignacio & Grace T. Cruz & Fernando Nardi & Sabine Henry, 2015. "Assessing the effectiveness of a social vulnerability index in predicting heterogeneity in the impacts of natural hazards: Case study of the Tropical Storm Washi flood in the Philippines," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 13(1), pages 91-129.
  • Handle: RePEc:vid:yearbk:v:13:y:2015:i:1:p:91-129
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    References listed on IDEAS

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    1. Rachel H. Racelis & J.M. Ian S. Salas, 2008. "A Note on Defining the Dependent Population Based on Age," Development Economics Working Papers 22684, East Asian Bureau of Economic Research.
    2. Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
    3. Ed Diener & Eunkook Suh, 1997. "Measuring Quality Of Life: Economic, Social, And Subjective Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 40(1), pages 189-216, January.
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    1. Rex Aurelius C. Robielos & Chiuhsiang Joe Lin & Delia B. Senoro & Froilan P. Ney, 2020. "Development of Vulnerability Assessment Framework for Disaster Risk Reduction at Three Levels of Geopolitical Units in the Philippines," Sustainability, MDPI, vol. 12(21), pages 1-27, October.

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