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Item Building underwater: Effects of community-scale flood management on housing development(Elsevier, 2022-09) Liu, Xian; Noonan, Douglas; School of Public and Environmental AffairsThe Community Rating System (CRS) program was implemented by the U.S. Federal Emergency Management Agency (FEMA) in 1990 as an optional program to encourage communities to voluntarily engage in flood mitigation initiatives. This paper uses national census tract-level data from 1990 to 2010 to estimate whether CRS participation affects housing development patterns. Our results show that participating in the CRS is associated with reduced rates of new housing construction and mobile homes in flood-prone areas. When we separate flood mitigation activities under the CRS program into information-based and regulation-based activities, we find that regulatory approaches are more effective than informational approaches. These results show a general pattern, nationwide and across decades, of community-scale flood management efforts deterring housing development in flood-prone areas.Item Flood Risk Management: Exploring the Impacts of the Community Rating System Program on Poverty and Income Inequality(2017) Noonan, Douglas S.; Sadiq, Abdul-Akeem A.Flooding remains a major problem for the United States, causing numerous deaths and damaging countless properties. To reduce the impact of flooding on communities, the U.S. government established the Community Rating System (CRS) in 1990 to reduce flood damages by incentivizing communities to engage in flood risk management initiatives that surpass those required by the National Flood Insurance Program. In return, communities enjoy discounted flood insurance premiums. Despite the fact that the CRS raises concerns about the potential for unevenly distributed impacts across different income groups, no study has examined the equity implications of the CRS. This study thus investigates the possibility of unintended consequences of the CRS by answering the question: What is the effect of the CRS on poverty and income inequality? Understanding the impacts of the CRS on poverty and income inequality is useful in fully assessing the unintended consequences of the CRS. The study estimates four fixed-effects regression models using a panel data set of neighborhood-level observations from 1970 to 2010. The results indicate that median incomes are lower in CRS communities, but rise in floodplains. Also, the CRS attracts poor residents, but relocates them away from floodplains. Additionally, the CRS attracts top earners, including in floodplains. Finally, the CRS encourages income inequality, but discourages income inequality in floodplains. A better understanding of these unintended consequences of the CRS on poverty and income inequality can help to improve the design and performance of the CRS and, ultimately, increase community resilience to flood disasters.