The Geography of Climate Inequity
summary
Uses FLIR surface imagery, volunteer-mounted thermometers and GPS rides at 6am/3pm/7pm, and a predictive infill model to map urban heat; Richmond 2017 shows a 16°F difference between neighborhoods at the same hour and ambulance dispatch data links heat responses to Black neighborhoods. Cross-city analysis finds the pattern in 94% of redlined cities. Adds land‑use, tree canopy LiDAR and First Street Foundation flood-factor overlays to show formerly redlined areas are hotter, wetter, higher in NO2 and lower in canopy, and evaluates interventions like tree planting and freeway cap parks.
AI-written summary · about
chapters (9)
- 0:00Introduction and speaker background
- 3:37Climate change basics and impacts
- 7:12Heat as a silent killer
- 10:01Urban heat mapping exercise
- 13:34Richmond heat study and findings
- 16:48Redlining and environmental inequity
- 20:18Redlining’s lasting climate effects
- 23:52Health disparities from redlining
- 24:56Climate adaptation and inequity
related talks
22mA Study of Urban Heat: Understanding the Challenges and Opportunities for Addressing Wicked ...
33mMapping the local heat transition
23mPowering Location Data for Good
12mVisualizing Disparity
26mKey to the City: Writing Code to Induce Social Change
14mGeographies of Linear Infrastructure
10mCivic Hacking & Urban Informatics: Mapping Data with GeoPandas
01h 18mWhite Supremacy Anthropogenic Climate Change, and What Lawyers Can Do