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Changes in social vulnerability to flooding: a quasi-experimental analysis

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Abstract

In this study we estimate how flooded areas evolve on measures of social vulnerability over both the long and short term in Calgary, Canada. The first part of our analysis describes trends in indicators of social vulnerability across different levels of flood hazard over a 25-year period. The second part of our analysis uses a quasi-experimental study design to estimate short-term changes in social vulnerability in Calgary which may, in part, be related to the 2013 flood. We find that high flood hazard levels are generally associated with the lowest levels of social vulnerability, and that dwelling value has increased faster in high flood hazard areas than low flood hazard areas over the last two decades. The second part of our analysis indicates that relative to comparable non-flooded areas, flood-affected areas observed a 2.5 percent increase in postsecondary education level, a $37,000 reduction in median dwelling value, a 4.1% decrease in home ownership, a 2.9% increase in recent housing construction, a 2.6% increase in recent movers and a 1.6% decrease in the proportion of immigrants. Together, these findings suggest that in Calgary (1) over the long-term high flood hazard areas are generally comprised of lower vulnerability populations, increasing property wealth and higher income and (2) flood events may be associated with a short-term decline in social vulnerability.

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References

  • Aldrich N, Benson WF (2008) Disaster preparedness and the chronic disease needs of vulnerable older adults. Prev Chronic Dis Public Health Res Pract Policy 5(1):1–7

    Google Scholar 

  • Allen K (2003) Vulnerability reduction and the community-based approach. In: Pelling M (ed) Natural disasters and development in a globalizing world. Routledge, London, pp 170–184

    Google Scholar 

  • Andrey J, Jones B (2008) The dynamic nature of social disadvantage: implications for hazard exposure and vulnerability in Greater Vancouver. Can Geographer/le Géographe Canadien 52(2):146–168

    Article  Google Scholar 

  • Atreya A, Ferreira S, Michel-Kerjan E (2015) What drives households to buy flood insurance? New evidence from Georgia. Ecol Econ 117:153–161

    Article  Google Scholar 

  • Balica S, Wright NG (2010) Reducing the complexity of the flood vulnerability index. Environ Hazards 9(4):321–339

    Article  Google Scholar 

  • Bank of Canada (2019) Inflation Calculator. Data Source: Statistics Canada. https://www.bankofcanada.ca/rates/related/inflation-calculator/

  • Bin O, Landry CE (2013) Changes in implicit flood risk premiums: empirical evidence from the housing market. J Environ Econ Manag 65(3):361–376

    Article  Google Scholar 

  • Bjarnadottir S, Li Y, Stewart MG (2011) Social vulnerability index for coastal communities at risk to hurricane hazard and a changing climate. Nat Hazards 59(2):1055–1075

    Article  Google Scholar 

  • Botzen W, Aerts J, van den Bergh J (2009) Willingness of homeowners to mitigate climate risk through insurance. Ecol Econ 68(8–9):2265–2277

    Article  Google Scholar 

  • Brooks N (2003) Vulnerability, risk and adaptation: a conceptual framework. Working Paper 38. Tyndall Centre for Climate Change Research, Norwich, England

  • Brouwer R, Akter S, Brander L, Haque E (2007) Socioeconomic vulnerability and adaptation to environmental risk: a case study of climate change and flooding in Bangladesh. Risk Anal 27(2):313–326

    Article  Google Scholar 

  • Calgary Public Library (2014) Calgary flood story. http://floodstory.com/

  • Caliendo M, Hujer R (2006) The microeconometric estimation of treatment effects—an overview. Allg Stat Arch 90(1):199–215

    Google Scholar 

  • Chakraborty J, Tobin GA, Montz BE (2005) Population evacuation: assessing spatial variability in geophysical risk and social vulnerability to natural hazards. Nat Hazard Rev 6(1):23–33

    Article  Google Scholar 

  • Chakraborty J, Collins TW, Montgomery MC, Grineski SE (2014) Social and spatial inequities in exposure to flood risk in Miami. Florida Natural Hazards Review 15(3):1–10

    Google Scholar 

  • Chakraborty L, Rus H, Henstra D, Thistlethwaite J, Scott D (2020) A place-based socioeconomic status index: Measuring social vulnerability to flood hazards in the context of environmental justice. Int J Disas Risk Reduct 43:1014

    Google Scholar 

  • City of Calgary (2008) Land use bylaw 1P2007. https://www.calgary.ca/pda/pd/calgary-land-use-bylaw-1p2007/calgary-land-use-bylaw-1p2007.html

  • City of Calgary (2017) Flood mitigation options assessment summary. full report prepared by IBI group and Golder Associates. https://www.calgary.ca/uep/water/flood-info/stay-informed/flood-mitigation-measures-assessment.html

  • City of Calgary (2018) Flood extents from June 22, 2013. https://data.calgary.ca/Environment/Flood-extents-from-June-22-2013/sqfh-d2dp

  • City of Calgary (2021a) Calgary’s flood resilience plan. https://www.calgary.ca/uep/water/flood-info/mitigation-and-resilience/flood-projects.html

  • City of Calgary (2021b) Parcel address: Base Maps. https://data.calgary.ca/Base-Maps/Parcel-Address/9zvu-p8uz

  • City of Calgary (2021c) Land use districts. https://data.calgary.ca/Base-Maps/Land-Use-Districts/mw9j-jik5

  • Cutter SL (1996) Vulnerability to environmental hazards. Prog Hum Geogr 20(4):529–539

    Article  Google Scholar 

  • Cutter SL, Mitchell JT, Scott MS (2000) Revealing the vulnerability of people and places: a case study of Georgetown County, South Carolina. Ann Assoc Am Geogr 90(4):713–737

    Article  Google Scholar 

  • Cutter SL, Boruff BJ, Shirley WL (2003) Social vulnerability to environmental hazards. Soc Sci Q 84(2):242–261

    Article  Google Scholar 

  • Cutter SL, Finch C (2008) Temporal and spatial changes in social vulnerability to natural hazards. Proc Natl Acad Sci 105(7):2301–2306

    Article  Google Scholar 

  • de Oliveira Mendes JM (2009) Social vulnerability indexes as planning tools: beyond the preparedness paradigm. J Risk Res 12(1):43–58

    Article  Google Scholar 

  • Diamond A, Sekhon JS (2013) Genetic matching for estimating causal effects: a general multivariate matching method for achieving balance in observational studies. Rev Econ Stat 95(3):932–945

    Article  Google Scholar 

  • Donner W, Rodríguez H (2008) Population composition, migration and inequality: the influence of demographic changes on disaster risk and vulnerability. Soc Forces 87(2):1089–1114

    Article  Google Scholar 

  • Elshorbagy A, Bharath R, Lakhanpal A, Ceola S, Montanari A, Lindenschmidt KE (2017) Topography-and nightlight-based national flood risk assessment in Canada. Hydrol Earth Syst Sci 21(4):2219-2232

    Article  Google Scholar 

  • ECCC (2017) Canada’s top ten weather stories of 2013. Environment and Climate Change Canada. Government of Canada. https://www.ec.gc.ca/meteo-weather/default.asp?lang=En&n=5BA5EAFC-1&offset=2&toc=hide

  • Felsenstein D, Lichter M (2014) Social and economic vulnerability of coastal communities to sea-level rise and extreme flooding. Nat Hazards 71(1):463–491

    Article  Google Scholar 

  • Flanagan BE, Gregory EW, Hallisey EJ, Heitgerd JL, Lewis B (2011) A social vulnerability index for disaster management. J Homeland Sec Emerg Manage 8 (1).

  • Fekete A (2009) Validation of a social vulnerability index in context to river-floods in Germany. Nat Hazards Earth Syst Sci 9(2):393–403

    Article  Google Scholar 

  • Frey S (2014) The economic burden of schizophrenia in Germany: a population-based retrospective cohort study using genetic matching. Eur Psych 29(8):479–489

    Article  Google Scholar 

  • Fussell E, Curran SR, Dunbar MD, Babb MA, Thompson L, Meijer-Irons J (2017) Weather-related hazards and population change: a study of hurricanes and tropical storms in the United States, 1980–2012. Ann Am Acad Pol Soc Sci 669(1):146–167

    Article  Google Scholar 

  • Ford JD, Berrang-Ford L, King M, Furgal C (2010) Vulnerability of aboriginal health systems in Canada to climate change. Glob Environ Chang 20(4):668–680

    Article  Google Scholar 

  • Fussell E, Sastry N, VanLandingham M (2010) Race, socioeconomic status, and return migration to New Orleans after Hurricane Katrina. Popul Environ 31(1–3):20–42

    Article  Google Scholar 

  • Gober P, Wheater HS (2015) Debates—Perspectives on socio-hydrology: modeling flood risk as a public policy problem. Water Resour Res 51(6):4782–4788

    Article  Google Scholar 

  • Golder Associates (2014) Basin-wide hydrology assessment and 2013 flood documentation: Bow and Elbow River. http://publicaccess.calgary.ca/lldm01/livelink.exe?func=ccpa.general&msgID=DTcsgeqAeAH&msgAction=Download

  • Harrison DT, Smersh G, Schwartz A (2001) Environmental determinants of housing prices: the impact of flood zone status. J Real Estate Res 21(1–2):3–20

    Article  Google Scholar 

  • IBC (2021) Canada inundated by severe weather in 2013: insurance companies pay out record-breaking $3.2 billion to policyholders. Insurance Bureau of Canada. http://www.ibc.ca/yt/resources/media-centre/media-releases/canada-inundated-by-severe-weather-in-2013-insurance-companies-pay-out-record-breaking-$3-2-billion-to-policyholders

  • Jones KW, Lewis DJ (2015) Estimating the counterfactual impact of conservation programs on land cover outcomes: the role of matching and panel regression techniques. PLoS ONE 10(10): e0141380

  • Kamel N (2012) Social marginalisation, federal assistance and repopulation patterns in the New Orleans metropolitan area following Hurricane Katrina. Urban Studies 49(14):3211–3231

    Article  Google Scholar 

  • King D, MacGregor C (2000) Using social indicators to measure community vulnerability to natural hazards. Australian J Emerg Manage 15(3):52–57

    Google Scholar 

  • Koks EE, Jongman B, Husby TG, Botzen WJ (2015) Combining hazard, exposure and social vulnerability to provide lessons for flood risk management. Environ Sci Policy 47:42–52

    Article  Google Scholar 

  • List JA, Millimet DL, Fredriksson PG, McHone WW (2003) Effects of environmental regulations on manufacturing plant births: evidence from a propensity score matching estimator. Rev Econ Stat 85(4):944–952

    Article  Google Scholar 

  • Masozera M, Bailey M, Kerchner C (2007) Distribution of impacts of natural disasters across income groups: a case study of New Orleans. Ecol Econ 63(2–3):299–306

    Article  Google Scholar 

  • Milrad SM, Gyakum JR, Atallah EH (2015) A meteorological analysis of the 2013 Alberta flood: antecedent large-scale flow pattern and synoptic–dynamic characteristics. Mon Weather Rev 143(7):2817–2841

    Article  Google Scholar 

  • Myers CA, Slack T, Singelmann J (2008) Social vulnerability and migration in the wake of disaster: the case of Hurricanes Katrina and Rita. Popul Environ 29(6):271–291

    Article  Google Scholar 

  • Oulahen G, Mortsch L, Tang K, Harford D (2015) Unequal vulnerability to flood hazards: “ground truthing” a social vulnerability index of five municipalities in Metro Vancouver, Canada. Ann Assoc Am Geogr 105(3):473–495

    Article  Google Scholar 

  • Public Safety Canada (2019) The Canadian disaster database. Retrieved at: https://www.publicsafety.gc.ca/cnt/rsrcs/cndn-dsstr-dtbs/index-en.aspx

  • Pufahl A, Weiss CR (2009) Evaluating the effects of farm programmes: results from propensity score matching. Eur Rev Agric Econ 36(1):79–101

    Article  Google Scholar 

  • Reitz JG, Banerjee R (2007) Racial inequality, social cohesion and policy issues in Canada. In: Banting K, Courchene TJ, Seidle FL (eds) Belonging? Diversity, recognition and shared citizenship in canada, the art of the state, 3. Institute for Research on Public Policy, Montreal, pp 489–545

    Google Scholar 

  • Ren J, Wang HH (2016) Rural homeowners’ willingness to buy flood insurance. Emerg Mark Financ Trade 52(5):1156–1166

    Article  Google Scholar 

  • Rennie CD, Parsapour-Moghaddam P, Perry B, Slaney J, Cornett A, Knox P (2018) Calgary flood mitigation research. CSCE 2018, 6th International Disaster Mitigation Specialty Conference, Fredericton, Canada. Conference Date: June 2018

  • Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–55

    Article  Google Scholar 

  • Rufat S, Tate E, Burton CG, Maroof AS (2015) Social vulnerability to floods: review of case studies and implications for measurement. Int J Disaster Risk Reduct 14:470–486

    Article  Google Scholar 

  • Scholars GeoPortal (2018) http://geo2.scholarsportal.info/#r/search/_queries@=enumeration%20areas;&fields@=;&sort=relevance&limit=entitled

  • Schultz J, Elliott JR (2013) Natural disasters and local demographic change in the United States. Popul Environ 34(3):293–312

    Article  Google Scholar 

  • Sekhon JS (2011) Matching: multivariate and propensity score matching with automated balance search. J Stat Softw 42:1–52

    Article  Google Scholar 

  • Shrubsole D, Green M, Scherer J (1997) The actual and perceived effects of floodplain land use regulations on residential property values in London, Ontario. Can Geographer/le Géographe Canadien 41(2):166–178

    Article  Google Scholar 

  • Shumway JM, Otterstrom S, Glavac S (2014) Environmental hazards as disamenities: selective migration and income change in the United States from 2000–2010. Ann Assoc Am Geogr 104(2):280–291

    Article  Google Scholar 

  • Statistics Canada (2015) National Household survey: final response rates. https://www12.statcan.gc.ca/nhs-enm/2011/ref/about-apropos/nhs-enm_r012.cfm?Lang=E

  • Statistics Canada (2017a) Boundary files. https://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-eng.cfm

  • Statistics Canada (2017b) 2016 census of population collection response rates. https://www12.statcan.gc.ca/census-recensement/2016/ref/response-rates-eng.cfm

  • Statistics Canada (2021) Population estimates, July 1, by census metropolitan area and census agglomeration, 2016 boundaries. https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1710013501

  • Tapsell SM, Penning-Rowsell EC, Tunstall SM, Wilson TL (2002) Vulnerability to flooding: health and social dimensions. Philos Trans Roy Soc Lond A Math Phys Eng Sci 360(1796):1511–1525

    Article  Google Scholar 

  • Tate E (2012) Social vulnerability indices: a comparative assessment using uncertainty and sensitivity analysis. Nat Hazards 63(2):325–347

    Article  Google Scholar 

  • Tate E, Rahman MA, Emrich CT, Sampson CC (2021) Flood exposure and social vulnerability in the United States. Nat Hazards 106(1):435–457

    Article  Google Scholar 

  • Tellman B, Schank C, Schwarz B, Howe PD, de Sherbinin A (2020) Using disaster outcomes to validate components of social vulnerability to floods: flood deaths and property damage across the USA. Sustainability 12(15):6006

    Article  Google Scholar 

  • Thistlethwaite J, Henstra D, Brown C, Scott D (2018) How flood experience and risk perception influences protective actions and behaviours among Canadian homeowners. Environ Manage 61(2):197–208

    Article  Google Scholar 

  • Van Zandt S, Peacock WG, Henry DW, Grover H, Highfield WE, Brody SD (2012) Mapping social vulnerability to enhance housing and neighborhood resilience. Hous Policy Debate 22(1):29–55

    Article  Google Scholar 

  • Walker BB, Taylor-Noonan C, Tabbernor A, Bal H, Bradley D, Schuurman N, Clague JJ (2014) A multi-criteria evaluation model of earthquake vulnerability in Victoria. British Columbia Nat Hazards 74(2):1209–1222

    Article  Google Scholar 

  • Zahran S, Brody SD, Peacock WG, Vedlitz A, Grover H (2008) Social vulnerability and the natural and built environment: a model of flood casualties in Texas. Disasters 32(4):537–560

    Article  Google Scholar 

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Acknowledgements

This work was supported by the Natural Science and Engineering Research Council (NSERC) Canadian FloodNet (Grant number: NETGP451456).

Funding

This work was supported by the Natural Science and Engineering Research Council (NSERC) Canadian FloodNet (Grant number: NETGP451456).

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All authors contributed to the study conception and design. Flood hazard modeling used as the basis for the study was provided by AE. Technical expertise was provided by NY and AE. Data analysis, visualization, writing, and results interpretation was provided by CD, with support from NY.

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Correspondence to Niko Yiannakoulias.

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Darlington, J.C., Yiannakoulias, N. & Elshorbagy, A. Changes in social vulnerability to flooding: a quasi-experimental analysis. Nat Hazards 111, 2487–2509 (2022). https://doi.org/10.1007/s11069-021-05145-2

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