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Uses and Limitations of Socioeconomic Indicators of Community Vulnerability to Natural Hazards: Data and Disasters in Northern Australia

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  • David King

Abstract

Advances in computer technology have made very large databases easily accessible to users and managers. The census and land databases are of enormous use to hazard managers and planners. An extensive literature has identified groups of social, economic and demographic indicators that may be combined with physical and land data to predict and categorise levels of community vulnerability. Impact scenario mapping can be very precise and impressive in its detail, but a range of constraints, such as ageing of the data, the arbitrary nature of boundaries, problems of weighting indicators, and categorisation of vulnerability, impose limitations on the use of socioeconomic indicators to predict community vulnerability. Copyright Kluwer Academic Publishers 2001

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  • David King, 2001. "Uses and Limitations of Socioeconomic Indicators of Community Vulnerability to Natural Hazards: Data and Disasters in Northern Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 24(2), pages 147-156, September.
    • Handle: RePEc:spr:nathaz:v:24:y:2001:i:2:p:147-156
    DOI: 10.1023/A:1011859507188
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    Cited by:

    1. Pamela Box & Deanne Bird & Katharine Haynes & David King, 2016. "Shared responsibility and social vulnerability in the 2011 Brisbane flood," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1549-1568, April.
    2. Sebastian Scheuer & Dagmar Haase & Volker Meyer, 2011. "Exploring multicriteria flood vulnerability by integrating economic, social and ecological dimensions of flood risk and coping capacity: from a starting point view towards an end point view of vulnera," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(2), pages 731-751, August.
    3. Alexander Fekete, 2019. "Social vulnerability change assessment: monitoring longitudinal demographic indicators of disaster risk in Germany from 2005 to 2015," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(3), pages 585-614, February.
    4. Xuchao Yang & Lin Lin & Yizhe Zhang & Tingting Ye & Qian Chen & Cheng Jin & Guanqiong Ye, 2019. "Spatially Explicit Assessment of Social Vulnerability in Coastal China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    5. Ying Wang & Hao Chen & Juan Li, 2012. "Factors affecting earthquake recovery: the Yao’an earthquake of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 37-53, October.
    6. Margaret I. Rolfe & Sabrina Winona Pit & John W. McKenzie & Jo Longman & Veronica Matthews & Ross Bailie & Geoffrey G. Morgan, 2020. "Social vulnerability in a high-risk flood-affected rural region of NSW, Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 101(3), pages 631-650, April.
    7. Shin-Liang Chan & Wann-Ming Wey & Pin-Huai Chang, 2014. "Establishing Disaster Resilience Indicators for Tan-sui River Basin in Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(1), pages 387-418, January.
    8. David Simpson & R. Human, 2008. "Large-scale vulnerability assessments for natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 47(2), pages 143-155, November.
    9. Daminda Solangaarachchi & Amy Griffin & Michael Doherty, 2012. "Social vulnerability in the context of bushfire risk at the urban-bush interface in Sydney: a case study of the Blue Mountains and Ku-ring-gai local council areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1873-1898, November.
    10. Helen Boon & Alison Cottrell & David King & Robert Stevenson & Joanne Millar, 2012. "Bronfenbrenner’s bioecological theory for modelling community resilience to natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(2), pages 381-408, January.
    11. Richard Franklin & Jemma King & Peter Aitken & Peter Leggat, 2014. "“Washed away”—assessing community perceptions of flooding and prevention strategies: a North Queensland example," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1977-1998, September.
    12. Alexander Fekete, 2012. "Spatial disaster vulnerability and risk assessments: challenges in their quality and acceptance," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(3), pages 1161-1178, April.
    13. Alexander Fekete & Jakob Rhyner, 2020. "Sustainable Digital Transformation of Disaster Risk—Integrating New Types of Digital Social Vulnerability and Interdependencies with Critical Infrastructure," Sustainability, MDPI, vol. 12(22), pages 1-18, November.

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