Lunenburg Part 2 - Section 5 - Social Vulnerability - August 30.pdf
Lunenburg Part 2 - Section 5 - Social Vulnerability - August 30.pdf
Lunenburg Part 2 - Section 5 - Social Vulnerability - August 30.pdf
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and over time. This creates a justifiable basis for directing adaptation and emergency<br />
management initiatives to those areas in greatest need.<br />
Various conceptual bases and methodologies for indices of social vulnerability that inform the<br />
conceptual framework of this project are presented in the section that follows.<br />
Review of the Methodological Literature of <strong>Social</strong> <strong>Vulnerability</strong><br />
Assessment<br />
The following brief literature review focuses on the methodology employed in various studies<br />
regarding social vulnerability to climate change impacts. Appendix A is an annotated List of<br />
References summarizing each of the referenced sources.<br />
This review establishes the methodological framework, or approach, for this project and will be<br />
useful to other researchers attempting social vulnerability assessment for their communities or<br />
regions<br />
Dr. Susan Cutter is Director of the Hazards and <strong>Vulnerability</strong> Research Institute at the University<br />
of South Carolina, and a leading scholar in the field of vulnerability to extreme weather events.<br />
Her research focuses on developed nations, particularly the United States. In the mid-1990s,<br />
she pioneered the Hazards-of-Place approach to understanding vulnerability to environmental<br />
hazards. This approach considers both social and biophysical vulnerability in an integrated<br />
framework.<br />
In 2003, Dr. Cutter and several colleagues developed the <strong>Social</strong> <strong>Vulnerability</strong> Index, or SOVI for<br />
application in the United States. 1 Cutter et al. constructed their SOVI using county-level socioeconomic<br />
and demographic data, as well as data about the built environment. After choosing<br />
indicators of social vulnerability based on social sciences research, they then employed a factor<br />
analytic approach – a statistical process known as principal components analysis – to reduce the<br />
number of variables in the SOVI to those that account for the greatest proportion of the variance<br />
in the data. They then mapped the results to reveal spatial patterns in social vulnerability. The<br />
SOVI only considers social vulnerability; Cutter intends the results to be used in conjunction with<br />
assessments of biophysical risk to illustrate overall vulnerability.<br />
Following Cutter’s development of the SOVI, other researchers have performed assessments of<br />
social vulnerability using very similar methodology. For example, Drs. Jean Andrey and Brenda<br />
Jones of the Waterloo University Department of Geography and Environmental Management,<br />
conducted an assessment of social vulnerability and hazard exposure for Greater Vancouver in<br />
2008. 2 In his 2011 Bachelor of Community Design Honours Thesis, Jonathan Critchley, in<br />
partnership with the Halifax Regional Municipality, performed an analysis of social vulnerability<br />
to storm surge for the Halifax Harbour, based primarily on Cutter’s methodology. 3<br />
Other researchers have proposed alternative methodologies for constructing an index of social<br />
vulnerability. In a 2004 study by Dwyer et al. 4 of Geoscience Australia, the investigators<br />
developed a series of qualitative criteria to guide indicator selection, rather than using statistical<br />
methods to reduce a large number of variables to those exerting the most statistical influence on<br />
data variance.<br />
1 Cutter et al., 2003.<br />
2 Andrey and Jones, 2008.<br />
3 Critchley, 2011.<br />
4 Dwyer et al., 2004.<br />
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