Location matters: Geospatial policy analytics over time for household hazardous waste collection in California

• Main Authors: LIM-WAVDE, Kustini, KAUFFMAN, Robert John, KAM, Tin Seong, DAWSON, Gregory S.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Choropleth Mapping; Geospatial Policy Analytics; Geographic Weighted Regression; Household Hazardous Waste; Waste Management; Computer Sciences; Environmental Sciences; Management Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3686; https://ink.library.smu.edu.sg/context/sis_research/article/4688/viewcontent/1.3_57_Lim_Wavde_Location_Matters.pdf
• Institution: Singapore Management University

By integrating mapping and geospatial data into a county-level datasetfor exploratory analysis, we will demonstrate how to provide useful insightsfor waste managers and local governments regarding spatial patterns ofhousehold hazardous waste (HHW) collection and how it changes over time. We usemap-based visualization to display patterns of spatial intensity and countylocations for HHW collection in California from 2004 to 2015. We use exploratory spatial data analyticsmethods to characterize the spatial distribution of HHW collected per person.When we considered the spatial relationships, we were able to develop andestimate a geographically-weighted regression to explain how different regionalfactors influence the amount of HHW collected. These factors includedemographic characteristics, HHW management policy instruments, andenvironmental quality enforcement and consideration of these factors isnecessary to create a successful recycling program.