Arianna Salazar-Miranda, Claire Conzelmann, Toàn Phan, Jeremy Hoffman
4 min
This study investigates whether historical 'redlining'—the practice of grading neighborhoods based on race and class for mortgage lending in the 1930s and 1940s—continues to influence the climate risk exposure of urban residents today. The authors analyze 202 US cities using a boundary discontinuity design. By comparing properties on opposite sides of historical HOLC (Home Owners' Loan Corporation) borders, they isolate the effect of the assigned neighborhood grade on current and projected risks of flooding and extreme heat, effectively controlling for geographic fundamentals like elevation and slope.
The researchers find that properties in lower-graded (redlined) areas face significantly higher risks of flooding and extreme heat compared to adjacent properties in higher-graded areas. Specifically, properties on the lower-graded side of a boundary show a 5.5% increase in flood risk and a statistically significant increase in heat exposure. The study identifies 'environmental capital' as a key mechanism: redlined neighborhoods consistently exhibit less tree canopy, lower ground surface permeability, and lower construction foundation heights. Mediation analysis indicates that these deficiencies in infrastructure and vegetation account for 5–16% of the observed disparity in climate risk.
These findings demonstrate that historical discriminatory policies have long-term, tangible consequences for climate resilience. By linking past housing discrimination to modern environmental hazards, the study highlights how systemic inequality is embedded in the physical landscape of American cities. This suggests that current climate adaptation strategies must account for these historical legacies to avoid exacerbating existing disparities in urban vulnerability.
Alex: That's a genuinely elegant approach. And what did those comparisons show?
Sam: The study suggests the effect is persistent and measurable. Even after accounting for geographic factors, properties on the redlined side of these historical borders show a clear increase in exposure to both extreme heat and flooding. The evidence points to decades of underinvestment in trees, permeable surfaces, and adequate infrastructure as a direct, traceable consequence of those original policy decisions.
Alex: How do they actually quantify the risk? Is it based on past flood records?
Sam: They use projections from the First Street Foundation, which combines historical weather data with modern climate modelling. For flooding, the model produces a score that estimates how severe flood exposure is likely to be over a thirty-year period. It's a forward-looking measure, not just a record of where water has pooled in the past. That consistency across cities is what allows the researchers to draw broader conclusions.
Alex: So it's not just documenting history—it's pointing toward where the risk is headed.
Sam: Right. And that's where the practical application comes in. By identifying the specific boundaries where the risk gap is most pronounced, urban planners can target investment more precisely. Rather than general neighbourhood improvement, the data provides a basis for directing resources—tree planting, drainage upgrades, better building standards—to the places where a policy decision made ninety years ago created a measurable, ongoing disadvantage.
Alex: It's a sobering finding. The physical environment we live in today was shaped by decisions made before most people alive were born, and those decisions are still influencing who is most exposed to climate hazards.
Sam: That's the core of it. These boundaries didn't just affect who could get a mortgage. They shaped the land itself—what got built, what got planted, what got maintained. This study offers a quantitative basis for understanding why certain neighbourhoods remain more exposed, and it suggests that addressing climate resilience means grappling seriously with that history.
Alex: Thanks for listening to ResearchPod.