Decision Making for Managing Community Flood Risks: Perspectives of United States Floodplain Managers

Jenna Tyler , Abdul-Akeem Sadiq , Douglas S. Noonan , Rebecca M. Entress

International Journal of Disaster Risk Science ›› 2021, Vol. 12 ›› Issue (5) : 649 -660.

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International Journal of Disaster Risk Science ›› 2021, Vol. 12 ›› Issue (5) : 649 -660. DOI: 10.1007/s13753-021-00367-1
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Decision Making for Managing Community Flood Risks: Perspectives of United States Floodplain Managers

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Abstract

To reduce flood losses, floodplain managers make decisions on how to effectively manage their community’s flood risks. While there is a growing body of research that examines how individuals and households make decisions to manage their flood risks, far less attention has been directed at understanding the decision-making processes for flood management at the community level. This study aimed to narrow this research gap by examining floodplain managers’ perceptions of the quality of their community’s flood management decision-making processes. Data gathered from interviews with 200 floodplain managers in the United States indicate that most floodplain managers perceive their community’s flood management decision-making processes to be good. The results also indicate that communities participating in the Federal Emergency Management Agency’s Community Rating System, as well as communities with a higher level of concern for flooding and a lower poverty rate, are significantly more likely to report better flood management decision-making processes.

Keywords

Community flood risk management / Decision making / Floodplain managers / United States

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Jenna Tyler, Abdul-Akeem Sadiq, Douglas S. Noonan, Rebecca M. Entress. Decision Making for Managing Community Flood Risks: Perspectives of United States Floodplain Managers. International Journal of Disaster Risk Science, 2021, 12(5): 649-660 DOI:10.1007/s13753-021-00367-1

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References

[1]

Association of State Floodplain Managers. 2010. Model job description for a community floodplain manager. https://www.floods.org/career-center/careers-in-floodplain-management/sample-position-descriptions/ . Accessed 3 Jul 2020.

[2]

Bouwer LM. Have disaster losses increased due to anthropogenic climate change?. Bulletin of the American Meteorological Society, 2011, 92(1): 39-46

[3]

Brody SD, Gunn J, Peacock W, Highfield WE. Examining the influence of development patterns on flood damages along the Gulf of Mexico. Journal of Planning Education and Research, 2011, 31(4): 438-448

[4]

FEMA (Federal Emergency Management Agency). 2013. Substantial improvement/substantial damage desk reference. https://www.fema.gov/sites/default/files/2020-07/fema_nfip_substantial-improvement-substantial-damage-desk-reference.pdf. Accessed 3 Jul 2020.

[5]

FEMA (Federal Emergency Management Agency). 2017. National Flood Insurance Program (NFIP) Manual. https://www.fema.gov/flood-insurance/work-with-nfip/manuals/archive. Accessed 23 Aug 2021.

[6]

Frederickson HG, Smith KB, Larimer CW, Licari MJ. The public administration theory primer, 2016, New York: Routledge

[7]

Galloway GE. Flood risk management in the United States and the impact of Hurricane Katrina. International Journal of River Basin Management, 2008, 6(4): 301-306

[8]

Ge Y, Peacock WG, Lindell MK. Florida households’ expected responses to hurricane hazard mitigation incentives. Risk Analysis: An International Journal, 2011, 31(10): 1676-1691

[9]

Heath RL, Lee J, Palenchar MJ, Lemon LL. Risk communication emergency response preparedness: Contextual assessment of the protective action decision model. Risk Analysis, 2018, 38(2): 333-344

[10]

Highfield WE, Brody SD. Evaluating the effectiveness of local mitigation activities in reducing flood losses. Natural Hazards Review, 2013, 14(4): 229-236

[11]

Highfield WE, Brody SD. Determining the effects of the FEMA Community Rating System program on flood losses in the United States. International Journal of Disaster Risk Reduction, 2017, 21: 396-404

[12]

Liddell, J.L., L.Y. Saltzman, R.J. Ferreira, and A.E. Lesen. 2020. Cumulative disaster exposure, gender and the protective action decision model. Progress in Disaster Science 5: Article 100042.

[13]

Lindblom CE. The science of “muddling through”. Public Administration Review, 1959, 19(2): 79-88

[14]

Lindell MK, Perry RW. The protective action decision model: Theoretical modifications and additional evidence. Risk Analysis, 2012, 32(4): 616-632

[15]

Lindell MK, Prater CS. Risk area residents’ perceptions and adoption of seismic hazard adjustments. Journal of Applied Social Psychology, 2002, 32(11): 2377-2392

[16]

Liu Y, Ouyang Z, Cheng P. Predicting consumers’ adoption of electric vehicles during the city smog crisis: An application of the protective action decision model. Journal of Environmental Psychology, 2019, 64: 30-38

[17]

Michel-Kerjan EO. Catastrophe economics: The national flood insurance program. Journal of Economic Perspectives, 2010, 24(4): 165-186

[18]

National Weather Service. 2018. Flood damage/costs/fatalities. https://www.ncdc.noaa.gov/stormevents/. Accessed 3 Jul 2020.

[19]

Posey J. The determinants of vulnerability and adaptive capacity at the municipal level: Evidence from floodplain management programs in the United States. Global Environmental Change, 2009, 19(4): 482-493

[20]

Ravitch SM, Mittenfelner Carl N. Qualitative research: Bridging the conceptual, theoretical, and methodological, 2016, Thousand Oaks, CA: SAGE Publications

[21]

Sadiq AA, Graham JD. Exploring the predictors of organizational preparedness for natural disasters. Risk Analysis, 2016, 36(5): 1040-1053

[22]

Sadiq AA, Noonan D. Local capacity and resilience to flooding: Community responsiveness to the community ratings system program incentives. Natural Hazards, 2015, 78(2): 1413-1428

[23]

Sadiq AA, Tyler J, Noonan DS, Norton RK, Cunniff SE, Czajkowski J. Review of the Federal Emergency Management Agency’s Community Rating System program. Natural Hazards Review, 2020, 21(1): 1-13

[24]

Simon HA. Theories of bounded rationality. Decision and Organization, 1972, 1(1): 161-176.

[25]

Smith KB, Larimer CW. The public policy theory primer, 2013, New York: Routledge

[26]

Strahan K, Watson SJ. The protective action decision model: When householders choose their protective response to wildfire. Journal of Risk Research, 2019, 22(12): 1602-1623

[27]

Terpstra T, Lindell MK. Citizens’ perceptions of flood hazard adjustments: An application of the protective action decision model. Environment and Behavior, 2013, 45(8): 993-1018

[28]

Tyler J, Sadiq AA. The essential skill set of a resilient emergency manager. Journal of Emergency Management, 2019, 17(1): 35-43

[29]

Tyler J, Sadiq AA, Chikoto-Schultz GL. Variations in employees' perceptions of organizational disaster preparedness. Journal of Contingencies and Crisis Management, 2020, 28(1): 2-18

[30]

Tyler J, Sadiq AA, Noonan DS. A review of the community flood risk management literature in the USA: Lessons for improving community resilience to floods. Natural Hazards, 2019, 96(3): 1223-1248

[31]

Whatmore SJ. Earthly powers and affective environments: An ontological politics of flood risk. Theory, Culture & Society, 2013, 30(7–8): 33-50

[32]

Woodward M, Gouldby B, Kapelan Z, Khu ST, Townend I. Real options in flood risk management decision making. Journal of Flood Risk Management, 2011, 4(4): 339-349

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