Exposing disparities in flood adaptation for equitable future interventions in the USA
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s41467-024-52111-0.pdf
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1.11 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Pecharroman, Lidia Cano
Hahn, ChangHoon
Date Issued
September 27, 2024
Journal
Nature Communications
Publisher
Springer Nature
Citation
Cano Pecharroman, L., Hahn, C. Exposing disparities in flood adaptation for equitable future interventions in the USA. Nat Commun 15, 8333 (2024).
Version
Final published version
Abstract
As governments race to implement new climate adaptation solutions that prepare for more frequent flooding, they must seek policies that are effective for all communities and uphold climate justice. This requires evaluating policies not only on their overall effectiveness but also on whether they benefit all communities. Using the USA as an example, we illustrate the importance of considering such disparities for flood adaptation through a FEMA dataset of ~ 2.5 million flood insurance claims. We use CausalFlow, a causal inference method based on deep generative models, to estimate the treatment effect of flood adaptation interventions based on a community’s income, racial demographics, population, flood risk, educational attainment, and precipitation. We find that the program saves communities $5,000–15,000 per household. However, these savings are not evenly spread across communities. For example, for low-income communities savings sharply decline as flood-risk increases in contrast to their high-income counterparts. Even among low-income communities, savings are >$6,000 per household higher in predominantly white communities. Future flood adaptation efforts should go beyond reducing losses overall and aim to equitably support communities in the race for climate adaptation.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
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DOI of Published Version
https://doi.org/10.1038/s41467-024-52111-0
