Measuring Access to Amenities and Exposure to Risks among Manufactured Housing Units

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Abstract In this study, we conduct the first national analysis of environmental amenities and risks among manufactured housing units in the United States. We use building footprints to develop a machine learning model that predicts the location of single-wide manufactured housing units nationwide. We use publicly available datasets to measure exposure to risks, including air pollution, facilities/sites regulated by the EPA, floodplains, and industrial jobs. We also measure access to amenities, including different types of land cover (e.g., green space, trees, and water), schools, SNAP retailers, transit stops, and walkability. Finally, we examine differences in access/exposure by census region, city governance and population, and neighborhood income. Our results highlight substantial differences in access and exposure to amenities and risks between manufactured housing units and other buildings. These risks vary by neighborhood income and city size, as well as across incorporated cities and unincorporated areas.
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Measuring Access to Amenities and Exposure to Risks among Manufactured Housing Units | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Measuring Access to Amenities and Exposure to Risks among Manufactured Housing Units Noah Durst, Elise Breshears, Zachary Lamb This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8008160/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In this study, we conduct the first national analysis of environmental amenities and risks among manufactured housing units in the United States. We use building footprints to develop a machine learning model that predicts the location of single-wide manufactured housing units nationwide. We use publicly available datasets to measure exposure to risks, including air pollution, facilities/sites regulated by the EPA, floodplains, and industrial jobs. We also measure access to amenities, including different types of land cover (e.g., green space, trees, and water), schools, SNAP retailers, transit stops, and walkability. Finally, we examine differences in access/exposure by census region, city governance and population, and neighborhood income. Our results highlight substantial differences in access and exposure to amenities and risks between manufactured housing units and other buildings. These risks vary by neighborhood income and city size, as well as across incorporated cities and unincorporated areas. Social science/Geography Social science/Environmental studies Earth and environmental sciences/Environmental social sciences/Environmental impact Full Text Additional Declarations There is NO Competing Interest. Supplementary Files Jobcounts.txt Jobs script Foottransitdistances.txt Transit script MHCountySampleSelection.txt Sample selection script Floodloop.r Flood script OSMroads.txt Road cleaning script Schooldistance.txt School distance script Intersectioncounts.txt Intersection script Roadtypeanddistance.txt Road distance script Landcover.txt Land cover script Analysis.txt Analysis script WeightedCDFFunction.txt CDF script MHPredictionFinal.txt Prediction Script MHCountySampleSelectionProbability.r Sampling weight script BuildingsPredictionFinal.gz Building Footprints ManufacturedHomesDataBuildingsFinalpart1.unk Data Part 1 ManufacturedHomesDataBuildingsFinalpart2.unk Data Part 2 ManufacturedHomesDataBuildingsFinalpart3.unk Data Part 3 Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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