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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 />

3

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