{"query_echo":{"q":"","filters":{"analysis_type":["socio-economic correlation"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'socio-economic correlation' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=socio-economic+correlation","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"climcent-000008","url":"https://climateinsightsdirectory.org/document/climcent-000008","title":"Urban Heat Hot Spots in 65 Cities","publisher":{"name":"Climate Central","organization":"climate-central"},"document_type":"research paper","language":"en","date_published":"2024-07-09","source_url":"https://www.climatecentral.org/climate-matters/urban-heat-islands-2024","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate Central analyzed the urban heat island (UHI) index across 65 major U.S. cities, finding that 68% of the 50 million residents in these cities live in areas where the built environment increases temperatures by 8°F or more. The study identifies albedo, green space, and population density as the primary drivers of this effect. It also highlights a link between historical redlining and current heat disparities, noting that in 84% of 179 analyzed cities, historically redlined areas experience hotter summers than non-redlined areas.","ai_generated":true,"unit":"climcent-000008#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Across 65 major U.S. cities, approximately 33.8 million people—representing 68% of the 50 million residents analyzed—live in census block groups with an urban heat island (UHI) index of 8°F or higher.","ai_generated":true,"unit":"climcent-000008#insight-1","date_modified":"2026-10-23"},{"text":"The per capita average UHI index varies by city, with New York City recording the highest at 9.7°F and Phoenix the lowest among the group at 7.4°F.","ai_generated":true,"unit":"climcent-000008#insight-2","date_modified":"2026-10-23"},{"text":"Six cities have at least 1 million people exposed to a UHI index of 8°F or higher: New York, Los Angeles, Houston, Chicago, San Antonio, and Dallas.","ai_generated":true,"unit":"climcent-000008#insight-3","date_modified":"2026-10-23"},{"text":"The three most significant factors influencing the UHI index are albedo (the reflection of solar radiation), the percentage of green space, and population density.","ai_generated":true,"unit":"climcent-000008#insight-4","date_modified":"2026-10-23"},{"text":"Urban heat is strongly linked to historical racial discrimination in housing; in 150 of 179 U.S. cities (84%), historically redlined Grade D areas experienced summer temperatures 6.5°F hotter on average between 2013 and 2023 than Grade A areas.","ai_generated":true,"unit":"climcent-000008#insight-5","date_modified":"2026-10-23"},{"text":"The highest disparities in summer heat due to redlining were found in Boston (14.3°F), Bergen County (13.8°F), Portland (13.3°F), and Oakland (12.6°F).","ai_generated":true,"unit":"climcent-000008#insight-6","date_modified":"2026-10-23"},{"text":"Long-term mitigation strategies to reduce the urban heat island effect include planting street trees, installing green roofs, using cool roofs with high albedo materials, and implementing cool pavements.","ai_generated":true,"unit":"climcent-000008#insight-7","date_modified":"2026-10-23"}],"climate_tags":["urban heat island","built environment","extreme heat","climate justice"],"geography_discussed":["New York City","Phoenix","San Francisco","Newark","Chicago","Cincinnati","Houston","Boston","Bergen County","Portland","Oakland"],"frame_perspective":[],"analysis_type":["spatial analysis","population exposure assessment","socio-economic correlation"]}]}