The Landscape of Health Behavior Bads in Greater Los Angeles: Estimating Population Exposure with Local Colocation Quotients (LCLQ)

Authors: Robert Vos*, University of Southern California, Spatial Sciences Institute, Jasmine Wu*, University of Southern California, Spatial Sciences Institute, Orhun Aydin, University of Southern California, Spatial Sciences Institute, Jane Steinberg, University of Southern California, Keck School of Medicine, Department of Preventive Medicine, Jennifer Unger, University of Southern California, Keck School of Medicine, Department of Preventive Medicine, Mengya Xu, University of Southern California, Spatial Sciences Institute
Topics: Health and Medical, Geography and Urban Health, Spatial Analysis & Modeling
Keywords: Local Colocation Quotient, Health Geography, Environmental Bads, Social Determinants of Health
Session Type: Virtual Paper
Day: 4/10/2021
Start / End Time: 11:10 AM / 12:25 PM
Room: Virtual 8
Presentation File: No File Uploaded


Some studies suggest that behaviors related to bad health outcomes, such as smoking, vaping, and heavy drinking, are influenced by the spatial concentration of facilities related to these behaviors, especially in relation to socioeconomically disadvantaged populations. Nevertheless, spatial methods in many studies that analyze the exposure of socioeconomically disadvantaged populations to such facilities are inaccurate and imprecise. This paper uses a suite of methods that treats populations and facilities as points which are then related using local colocation quotients. The analysis shows where clusters of multiple types of facilities related to health behavior bads intersect with clusters of socioeconomically disadvantaged populations. The study provides improved methods and visualizations that would allow policymakers and regulators (e.g., in the licensing process) to assess and correct for the spatial influences of inequitable exposure to health behavior bads.

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