Natural Hazards and Social Vulnerability of Place: The Strength-Based Approach Applied to Wollongong, Australia
Robert I. Ogie , Biswajeet Pradhan
International Journal of Disaster Risk Science ›› 2019, Vol. 10 ›› Issue (3) : 404 -420.
Natural Hazards and Social Vulnerability of Place: The Strength-Based Approach Applied to Wollongong, Australia
Natural hazards pose significant threats to different communities and various places around the world. Failing to identify and support the most vulnerable communities is a recipe for disaster. Many studies have proposed social vulnerability indices for measuring both the sensitivity of a population to natural hazards and its ability to respond and recover from them. Existing techniques, however, have not accounted for the unique strengths that exist within different communities to help minimize disaster loss. This study proposes a more balanced approach referred to as the strength-based social vulnerability index (SSVI). The proposed SSVI technique, which is built on sound sociopsychological theories of how people act during disasters and emergencies, is applied to assess comparatively the social vulnerability of different suburbs in the Wollongong area of New South Wales, Australia. The results highlight suburbs that are highly vulnerable, and demonstrates the usefulness of the technique in improving understanding of hotspots where limited resources should be judiciously allocated to help communities improve preparedness, response, and recovery from natural hazards.
Australia / Disaster vulnerability / Natural hazard / Placed-based model / Sense of community / Strength-based approach
| [1] |
ABS (Australian Bureau of Statistics). 2018. Census. https://www.abs.gov.au/websitedbs/D3310114.nsf/home/census. Accessed 13 Mar 2019. |
| [2] |
Ahmed, A. 2011. Use of social media in disaster management. In Proceedings of the International Conference on Information Systems (ICIS), 4–7 December 2011, Shanghai, China. |
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
Cannon, T. 1994. Vulnerability analysis and the explanation of “natural” disasters. In Disasters, development and environment, ed. A. Varley, 3–30. Chichester, England; Brisbane, Australia: J. Wiley. |
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
CRED (Centre for Research on the Epidemiology of Disasters). 2018. The Emergency Events Database. Université catholique de Louvain (UCL), Brussels, Belgium. https://www.emdat.be. Accessed 29 Dec 2018. |
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
Dwyer, A., C. Zoppou, O. Nielsen, S. Day, and S. Roberts. 2004. Quantifying social vulnerability: A methodology for identifying those at risk to natural hazards. Geoscience Australia Record 2004/14. Canberra City: Commonwealth of Australia. |
| [22] |
Ehlen, M.A., and A.J. Scholand. 2005. Modeling interdependencies between power and economic sectors using the N-ABLE agent based model. In Proceedings of the IEEE Power Engineering Society General Meeting, San Francisco, CA, June 12–16, 2005. Vol. 3: 2842–2846. |
| [23] |
|
| [24] |
|
| [25] |
Fair Work Ombudsman. 2016. Be prepared—Wage rate changes tomorrow. https://www.fairwork.gov.au/about-us/news-and-media-releases/archived-media-releases/2016-media-releases/june-2016/20160630-minimum-wage-increase-mr. Accessed 30 Mar 2019. |
| [26] |
|
| [27] |
|
| [28] |
Flentje, P., and R.N. Chowdhury. 2005. Managing landslide hazards on the Illawarra escarpment. In Proceedings of the GeoQuest Symposium on Planning for Natural Hazards—How can we mitigate the impacts? 2–5 February 2005, Wollongong, Australia, eds. R.J. Morrison, S. Quinn, and E.A. Bryant, 65–78. Wollongong: GeoQuest Research Centre, University of Wollongong. |
| [29] |
|
| [30] |
Giving Australia. 2016. Individuals: Volunteering overview. https://www.communitybusinesspartnership.gov.au/wp-content/uploads/2017/04/giving_australia_2016_fact_sheet_-_individual_volunteering_accessible.pdf. Accessed 10 Apr 2019. |
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
OECD (Organization for Economic Cooperation and Development). 2018. Compare your income—Methodology and conceptual issues. https://www.oecd.org/statistics/Compare-your-income-methodology.pdf. Accessed 15 Mar 2019. |
| [43] |
|
| [44] |
Ogie, R.I., T. Holderness, S. Dunn, and E. Turpin. 2016. Vulnerability analysis of hydrological infrastructure to flooding in coastal cities—A graph theory approach. In Transforming the Future of Infrastructure through Smarter Information: Proceedings of the International Conference on Smart Infrastructure and Construction (ICSIC), 27–29 June 2016, Cambridge, UK, eds. R.J. Mair, K. Soga, Y. Jin, A. Parlikad, J.M. Schooling, 633–644. London: ICE Publishing. |
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
Palamakumbure, D., D. Stirling, P. Flentje, and R. Chowdhury. 2015. ArcGIS V. 10 landslide susceptibility data mining add-in tool integrating data mining and GIS techniques to model landslide susceptibility. Engineering Geology for Society and Territory. IAEG (International Association for Engineering Geology and the Environment) XII Congress, 15–19 September, 2014, Turin, Italy. Vol. 2: Landslide Processes, eds. G. Lollino, D. Giordan, G.B. Crosta, J. Corominas, and R. Azzam, 1191–1194. Cham, Switzerland: Springer. |
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
Schoenwald, D.A., D.C. Barton, and M.A. Ehlen. 2004. An agent-based simulation laboratory for economics and infrastructure interdependency. In Proceedings of the 2004 American Control Conference, June 30-July 2, 2004, Boston, Massachusetts. Vol. 2: 1295–1300. Evanston, IL: American Automatic Control Council; Piscataway, NJ: IEEE, 2004 |
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
Tapsell, S., S. McCarthy, H. Faulkner, and M. Alexander. 2010. Social vulnerability to natural hazards, CapHaz-Net WP4 Report. London: Flood Hazard Research Centre (FHRC). |
| [65] |
Thein, A.K., R. Gregory, M. Akester, F. Poulain, and R. Langeard. 2019. Participatory rural appraisal: Vulnerability study of Ayeyarwady delta fishing communities in Myanmar and social protection opportunities. FAO Fisheries and Aquaculture Circular No. 1177. Rome: FAO. |
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
Wilhelmi, O.V., and M.H. Hayden. 2010. Connecting people and place: A new framework for reducing urban vulnerability to extreme heat. Environmental Research Letters 5(1): Article 014021. |
| [70] |
|
| [71] |
|
| [72] |
|
/
| 〈 |
|
〉 |