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World Scientific Publishing, Journal of Extreme Events, 02(06), p. 1950001, 2019

DOI: 10.1142/s2345737619500015

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Surveying After a Disaster: Capturing Elements of Vulnerability, Risk and Lessons Learned from a Household Survey in the Case Study of Hurricane Irma in Sint Maarten

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

On September 5 2017, a Category 5 Hurricane, named Irma, struck the Caribbean island of Sint Maarten causing destruction and loss of life across the territory. This paper presents a household survey and the main findings related to vulnerability and risk to extreme weather events in the aftermath of Hurricane Irma. The post-disaster context posed challenges in relation to data collection, determination of sample size and timing of the fieldwork. The survey was conducted using a combination of face-to-face interviews and web-administered questionnaires. This method proved useful in achieving a better coverage of the study area as well as obtaining a greater overall response rate. With regards to the timing of the survey, it was found that a period of six months between Hurricane Irma’s landfall and the field data campaign was adequate in terms of availability of resources and emotional distress of respondents. Data collected in the survey was categorized into general household information, hurricane preparedness and reaction, and risk perception/awareness. Survey findings show that the factors that increased vulnerability and risk on the island include a high tenancy rate, low insurance coverage, lack of house maintenance, disregard to building regulations (particularly on leased lands), low evacuation rate, not receiving a clear warning, and lack of preparation. The factors that reduce vulnerability include high hurricane awareness at a household level and high tendency of rebuilding houses with comparable quality to houses that can sustain hurricanes. Finally, recommendations are provided that could potentially reduce communities’ vulnerability and risk to hurricanes, and lessons learned in conducting household surveys after disasters.