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Spatial regression identifies socioeconomic inequality in multi-stage power outage recovery after Hurricane Isaac

Author

Listed:
  • Kelsea Best

    (University of Maryland)

  • Siobhan Kerr

    (University of Maryland)

  • Allison Reilly

    (University of Maryland)

  • Anand Patwardhan

    (University of Maryland)

  • Deb Niemeier

    (University of Maryland)

  • Seth Guikema

    (University of Michigan)

Abstract

Power outages are a common outcome of hurricanes in the USA with potentially serious implications for community wellbeing. Understanding how power outage recovery is influenced by factors such as the magnitude of the outage, storm characteristics, and community demographics is key to building community resilience. Outage data are a valuable tool that can help to better understand how hurricanes affect built infrastructure and influence the management of short-term infrastructure recovery process. We conduct a spatial regression analysis on customers experiencing outages and the total power recovery time to investigate the factors influencing power outage recovery in Louisiana after Hurricane Isaac. Our interest was in whether infrastructure damage and recovery times resulting from a hurricane disproportionately affect socioeconomically vulnerable populations and racial minorities. We find that median income is a significant predictor of the time it takes to restore 50%, 80%, and 95% of the total outages within a ZIP Code Tabulation Area, even after controlling for hurricane characteristics and total outages. Higher income geographies and higher income adjacent geographies experience faster recovery times. Our findings point to possible inequities associated with income in power outage recovery prioritization, which cannot be explained by exposure to outages, storm characteristics, or the presence of critical services such as hospitals and emergency response stations. These results should inform more equitable responses to power outages in the future helping to improve overall community resilience.

Suggested Citation

  • Kelsea Best & Siobhan Kerr & Allison Reilly & Anand Patwardhan & Deb Niemeier & Seth Guikema, 2023. "Spatial regression identifies socioeconomic inequality in multi-stage power outage recovery after Hurricane Isaac," 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. 117(1), pages 851-873, May.
    • Handle: RePEc:spr:nathaz:v:117:y:2023:i:1:d:10.1007_s11069-023-05886-2
    DOI: 10.1007/s11069-023-05886-2
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    1. Steven Quiring & Laiyin Zhu & Seth Guikema, 2011. "Importance of soil and elevation characteristics for modeling hurricane-induced power outages," 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(1), pages 365-390, July.
    2. Eric Tate & Md Asif Rahman & Christopher T. Emrich & Christopher C. Sampson, 2021. "Flood exposure and social vulnerability in the United States," 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. 106(1), pages 435-457, March.
    3. Stephanie E. Chang & Timothy L. McDaniels & Joey Mikawoz & Krista Peterson, 2007. "Infrastructure failure interdependencies in extreme events: power outage consequences in the 1998 Ice Storm," 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. 41(2), pages 337-358, May.
    4. Sovacool, Benjamin K. & Tan-Mullins, May & Abrahamse, Wokje, 2018. "Bloated bodies and broken bricks: Power, ecology, and inequality in the political economy of natural disaster recovery," World Development, Elsevier, vol. 110(C), pages 243-255.
    5. Masozera, Michel & Bailey, Melissa & Kerchner, Charles, 2007. "Distribution of impacts of natural disasters across income groups: A case study of New Orleans," Ecological Economics, Elsevier, vol. 63(2-3), pages 299-306, August.
    6. Alice Fothergill & Lori Peek, 2004. "Poverty and Disasters in the United States: A Review of Recent Sociological Findings," 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. 32(1), pages 89-110, May.
    7. Kevin Riley & Holly Wilhalme & Linda Delp & David P. Eisenman, 2018. "Mortality and Morbidity during Extreme Heat Events and Prevalence of Outdoor Work: An Analysis of Community-Level Data from Los Angeles County, California," IJERPH, MDPI, vol. 15(4), pages 1-12, March.
    8. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
    9. Dustin T. Duncan & Jared Aldstadt & John Whalen & Kellee White & Márcia C. Castro & David R. Williams, 2012. "Space, race, and poverty: Spatial inequalities in walkable neighborhood amenities?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(17), pages 409-448.
    10. Divya Chandrasekhar & Robin Rothfeder & Yu Xiao & Donovan Finn, 2019. "What drives household recovery after disasters? A case study of New York City after 2012 Hurricane Sandy," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 62(7), pages 1249-1268, June.
    11. James P. LeSage, 2014. "What Regional Scientists Need to Know about Spatial Econometrics," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 13-32, Spring.
    12. Archibald, Matthew E. & Putnam Rankin, Caddie, 2013. "A spatial analysis of community disadvantage and access to healthcare services in the U.S," Social Science & Medicine, Elsevier, vol. 90(C), pages 11-23.
    13. de Nooij, Michiel & Koopmans, Carl & Bijvoet, Carlijn, 2007. "The value of supply security: The costs of power interruptions: Economic input for damage reduction and investment in networks," Energy Economics, Elsevier, vol. 29(2), pages 277-295, March.
    14. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    15. Han, Seung-Ryong & Guikema, Seth D. & Quiring, Steven M. & Lee, Kyung-Ho & Rosowsky, David & Davidson, Rachel A., 2009. "Estimating the spatial distribution of power outages during hurricanes in the Gulf coast region," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 199-210.
    16. Roshanak Nateghi & Seth Guikema & Steven Quiring, 2014. "Forecasting hurricane-induced power outage durations," 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. 74(3), pages 1795-1811, December.
    17. Russell McKenzie & John Levendis, 2010. "Flood Hazards and Urban Housing Markets: The Effects of Katrina on New Orleans," The Journal of Real Estate Finance and Economics, Springer, vol. 40(1), pages 62-76, January.
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