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Urban–rural disparity of social vulnerability to natural hazards in Australia

  • United Nations. 2022: Year to transform our cities. https://unhabitat.org/2022-year-to-transform-our-cities (2022).

  • Seong, K., Losey, C. & Gu, D. Naturally resilient to natural hazards? Urban-rural disparities in hazard mitigation grant program assistance. Hous. Policy Debate 32, 190–210 (2022).

    Article 

    Google Scholar
     

  • Jamshed, A., Birkmann, J., Feldmeyer, D. & Rana, I. A. A conceptual framework to understand the dynamics of rural–urban linkages for rural flood vulnerability. Sustainability 12, 2894 (2020).

    Article 

    Google Scholar
     

  • Shan, L., Ann, T. & Wu, Y. Strategies for risk management in urban–rural conflict: Two case studies of land acquisition in urbanising China. Habitat Int. 59, 90–100 (2017).

    PubMed 
    Article 

    Google Scholar
     

  • Ann, T., Wu, Y., Zheng, B., Zhang, X. & Shen, L. Identifying risk factors of urban-rural conflict in urbanization: A case of China. Habitat Int. 44, 177–185 (2014).

    Article 

    Google Scholar
     

  • Cutter, S. L., Boruff, B. J. & Shirley, W. L. Social vulnerability to environmental hazards. Soc. Sci. Q. 84, 242–261 (2003).

    Article 

    Google Scholar
     

  • Cutter, S. L., Ash, K. D. & Emrich, C. T. The geographies of community disaster resilience. Glob. Environ. Chang. 29, 65–77 (2014).

    Article 

    Google Scholar
     

  • Cross, S. H., Califf, R. M. & Warraich, H. J. Rural-urban disparity in mortality in the US from 1999 to 2019. JAMA 325, 2312–2314 (2021).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar
     

  • Jenelius, E., Petersen, T. & Mattsson, L.-G. Importance and exposure in road network vulnerability analysis. Transp. Res. Part A Policy Pract. 40, 537–560 (2006).

    Article 

    Google Scholar
     

  • Birkmann, J. et al. Framing vulnerability, risk and societal responses: the MOVE framework. Nat. Hazards 67, 193–211 (2013).

    Article 

    Google Scholar
     

  • Cardona, O. D. et al. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change 65–108 (Cambridge University Press, 2012).

    Book 

    Google Scholar
     

  • Cutter, S. L. Vulnerability to environmental hazards. Prog. Hum. Geogr. 20, 529–539 (1996).

    Article 

    Google Scholar
     

  • Flanagan, B. E., Gregory, E. W., Hallisey, E. J., Heitgerd, J. L. & Lewis, B. A social vulnerability index for disaster management. J. Homel. Secur. Emerg. Manag. https://doi.org/10.2202/1547-7355.1792 (2011).

    Article 

    Google Scholar
     

  • Holand, I. S., Lujala, P. & Rød, J. K. Social vulnerability assessment for Norway: A quantitative approach. Norsk Geografisk Tidsskrift Norwegian J. Geogr. 65, 1–17 (2011).

    Article 

    Google Scholar
     

  • Aksha, S. K., Juran, L., Resler, L. M. & Zhang, Y. An analysis of social vulnerability to natural hazards in Nepal using a modified social vulnerability index. Int. J. Disaster Risk Sci. 10, 103–116 (2019).

    Article 

    Google Scholar
     

  • Mainali, J. & Pricope, N. G. High-resolution spatial assessment of population vulnerability to climate change in Nepal. Appl. Geogr. 82, 66–82 (2017).

    Article 

    Google Scholar
     

  • Chen, W., Cutter, S. L., Emrich, C. T. & Shi, P. Measuring social vulnerability to natural hazards in the Yangtze River Delta region, China. Int. J. Disaster Risk Sci. 4, 169–181 (2013).

    Article 

    Google Scholar
     

  • Rabby, Y. W., Hossain, M. B. & Hasan, M. U. Social vulnerability in the coastal region of Bangladesh: An investigation of social vulnerability index and scalar change effects. Int. J. Disaster Risk Reduct. 41, 101329 (2019).

    Article 

    Google Scholar
     

  • Guillard-Gonçalves, C., Cutter, S. L., Emrich, C. T. & Zêzere, J. L. Application of Social Vulnerability Index (SoVI) and delineation of natural risk zones in Greater Lisbon, Portugal. J. Risk Res. 18, 651–674 (2015).

    Article 

    Google Scholar
     

  • Krishnan, P. et al. Framework for mapping the drivers of coastal vulnerability and spatial decision making for climate-change adaptation: A case study from Maharashtra, India. Ambio 48, 192–212 (2019).

    PubMed 
    Article 

    Google Scholar
     

  • Kumar, D. & Bhattacharjya, R. K. Study of integrated social vulnerability index SoVI of hilly region of Uttarakhand, India. Environ. Clim. Technol. 24, 105–122 (2020).

    Article 

    Google Scholar
     

  • de Loyola Hummell, B. M., Cutter, S. L. & Emrich, C. T. Social vulnerability to natural hazards in Brazil. Int. J. Disaster Risk Sci. 7, 111–122 (2016).

    Article 

    Google Scholar
     

  • Roncancio, D., Cutter, S. & Nardocci, A. Social vulnerability in Colombia. Int. J. Disaster Risk Reduct. 50, 101872 (2020).

    Article 

    Google Scholar
     

  • Mavhura, E., Manyena, B. & Collins, A. E. An approach for measuring social vulnerability in context: The case of flood hazards in Muzarabani district, Zimbabwe. Geoforum 86, 103–117 (2017).

    Article 

    Google Scholar
     

  • Cumberbatch, J. et al. Social vulnerability index: Barbados–A case study. Coast. Manag. 48, 505–526 (2020).

    Article 

    Google Scholar
     

  • Berke, P., Yu, S., Malecha, M. & Cooper, J. Plans that disrupt development: Equity policies and social vulnerability in six coastal cities. J. Plan. Educ. Res. https://doi.org/10.1177/0739456X19861144 (2019).

    Article 

    Google Scholar
     

  • Burton, C. & Cutter, S. L. Levee failures and social vulnerability in the Sacramento-San Joaquin Delta area, California. Nat. hazards Rev. 9, 136–149 (2008).

    Article 

    Google Scholar
     

  • Wigtil, G. et al. Places where wildfire potential and social vulnerability coincide in the coterminous United States. Int. J. Wildland Fire 25, 896–908 (2016).

    Article 

    Google Scholar
     

  • Drakes, O., Tate, E., Rainey, J. & Brody, S. Social vulnerability and short-term disaster assistance in the United States. Int. J. Disaster Risk Reduct. 53, 102010 (2021).

    Article 

    Google Scholar
     

  • de Oliveira Mendes, J. M. Social vulnerability indexes as planning tools: beyond the preparedness paradigm. J. Risk Res. 12, 43–58 (2009).

    Article 

    Google Scholar
     

  • Prosdocimi, D. & Klima, K. Health effects of heat vulnerability in Rio de Janeiro: A validation model for policy applications. SN Appli. Sci. 2, 1–11 (2020).

    Article 
    CAS 

    Google Scholar
     

  • Ewing, R. & Cervero, R. Travel and the built environment: A meta-analysis. J. Am. Plann. Assoc. 76, 265–294 (2010).

    Article 

    Google Scholar
     

  • O’Connell, D. et al. Approach, methods and results for co-producing a systems understanding of disaster. (Technical report supporting the development of the Australian Vulnerability, 2018).

  • Bureau of Meteorology. Australia’s changing climate. http://www.bom.gov.au/state-of-the-climate/australias-changing-climate.shtml (2016).

  • Norman, B., Newman, P. & Steffen, W. Apocalypse now: Australian bushfires and the future of urban settlements. npj Urban Sustainability 1, 1–9 (2021).

  • Pokharel, S. & Archer, F. Habitat-III and the New Urban Agenda: Implications for Australia. Aust. J. Emerg. Manag. 35, 66–72 (2020).


    Google Scholar
     

  • Bardsley, D. K. & Wiseman, N. D. Climate change vulnerability and social development for remote indigenous communities of South Australia. Glob. Environ. Chang. 22, 713–723 (2012).

    Article 

    Google Scholar
     

  • Marshall, N., Stokes, C., Webb, N., Marshall, P. & Lankester, A. Social vulnerability to climate change in primary producers: A typology approach. Agr. Ecosyst. Environ. 186, 86–93 (2014).

    Article 

    Google Scholar
     

  • Solangaarachchi, D., Griffin, A. L. & Doherty, M. D. 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. Nat. Hazards 64, 1873–1898 (2012).

    Article 

    Google Scholar
     

  • Baum, S., Horton, S. & Choy, D. L. Local urban communities and extreme weather events: Mapping social vulnerability to flood. Aust. J. Reg. Stud. 14, 251–273 (2008).


    Google Scholar
     

  • Ogie, R. I. & Pradhan, B. Natural hazards and social vulnerability of place: The strength-based approach applied to Wollongong, Australia. Int. J. Disaster Risk Sci. 10, 404–420 (2019).

    Article 

    Google Scholar
     

  • Rolfe, M. I. et al. Social vulnerability in a high-risk flood-affected rural region of NSW, Australia. Nat. Hazards 101, 631–650 (2020).

    Article 

    Google Scholar
     

  • Australian Bureau of Statistics. Socio-Economic Indexes for Areas: SEIFA provides measures of socio-economic conditions by geographic area (2018).

  • Morrow, B. H. Identifying and mapping community vulnerability. Disasters 23, 1–18 (1999).

    CAS 
    PubMed 
    Article 

    Google Scholar
     

  • Tierney, K. On Risk and Disaster 109–128 (University of Pennsylvania Press, 2011).


    Google Scholar
     

  • Kirby, R. H. et al. Assessing social vulnerability to flood hazards in the Dutch Province of Zeeland. Int. J. Disaster Risk Sci. 10, 233–243 (2019).

    Article 

    Google Scholar
     

  • U.S. Centre of Disease Control. CDC/ATSDR Social Vulnerability Index. https://www.atsdr.cdc.gov/placeandhealth/svi/index.html (2020).

  • Dwyer, A., Zoppou, C., Nielsen, O., Day, S. & Roberts, S. Quantifying social vulnerability: A methodology for identifying those at risk to natural hazards (2004).

  • National Resilience Taskforce. Profiling Australia’s Vulnerability: The interconnected causes and cascading effects of systemic disaster risk (2018).

  • Australian Bureau of Statistics. Census of Population and Housing. https://www.abs.gov.au/statistics/microdata-tablebuilder/tablebuilder (2016).

  • Australian Bureau of Statistics. Australian Statistical Geography Standard (ASGS) Edition 3—Statistical Area Level 1. https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/main-structure-and-greater-capital-city-statistical-areas/statistical-area-level-1 (2021).

  • Australian Urban Research Infrastructure Network. OpenStreetMap—Points (Australia) 2020. https://data.aurin.org.au/dataset/osm-osm-roads-2020-na (2020).

  • Department for Infrastructure and Transport, A. G. Digital cadastral database. https://data.gov.au/dataset/ds-sa-4cc17ac3-ce49-4525-971b-6122023b8937/details (2020).

  • Google Earth Engine. Sentinel-2 satellite imagery. https://developers.google.com/s/results/earth-engine/datasets?q=LANDSAT (2020).

  • Department of Agricultural, W. a. t. E., Australian Government. Land use data. https://www.awe.gov.au/abares/aclump/land-use/data-download (2016).

  • Nagendra, H. Opposite trends in response for the Shannon and Simpson indices of landscape diversity. Appl. Geogr. 22, 175–186 (2002).

    Article 

    Google Scholar
     

  • Bryant, F. B. & Yarnold, P. R. Principal-components analysis and exploratory and confirmatory factor analysis (1995).

  • Mukaka, M. M. A guide to appropriate use of correlation coefficient in medical research. Malawi Med. J. 24, 69–71 (2012).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Moore, D. S., Notz, W. I. & Fligner, M. A. The Basic Practice of Statistics (Macmillan Higher Education, 2015).


    Google Scholar
     

  • Geoscience Australia. The 2018 National Seismic Hazard Assessment for Australia. https://data.gov.au/dataset/ds-neii-683d597a-d639-4020-b056-0cb187b717ca/details?q= (2018).

  • Australian Bureau of Agricultural and Resource Economics and Sciences. Fires in Australia’s forests 2011–16 (2018).

  • Joint Research Centre, E. C. Data catalogue-global flood awareness system. https://data.jrc.ec.europa.eu/collection/id-0069 (2020).

  • Gluschenko, K. P. On estimation of inter-regional inequality. Spat. Econ. Prostranstvennaya Ekonomika 39–58 (2015).

  • Hsu, A., Sheriff, G., Chakraborty, T. & Manya, D. Disproportionate exposure to urban heat island intensity across major US cities. Nat. Commun. 12, 1–11 (2021).

    Article 
    CAS 

    Google Scholar
     

  • Cropper, M., Krupnick, A. & Raich, W. Preferences for equality in environmental outcomes. (National Bureau of Economic Research, 2016).

  • DeNavas-Walt, C., Proctor, B. D. & Smith, J. C. Income, Poverty, and health insurance coverage in the United States: 2012. Current Population Reports P60-245. US Census Bureau (2013).

  • Jones, A. F. & Weinberg, D. H. The changing shape of the nation’s income distribution, 1947–1998. (US Department of Commerce, Economics and Statistics Administration, US Census Bureau, 2000).

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