Publication Type

Conference Proceeding Article

Publication Date

3-2017

Abstract

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.

Keywords

Choropleth Mapping, Geospatial Policy Analytics, Geographic Weighted Regression, Household Hazardous Waste, Waste Management

Discipline

Computer Sciences | Environmental Sciences | Management Information Systems

Research Areas

Information Systems and Management

Publication

iConference 2017: Proceedings, Wuhan, China, March 22-25

First Page

13

Last Page

27

Identifier

10.9776/17003

Publisher

iSchool

City or Country

University of Illinois

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://hdl.handle.net/2142/96678

Comments

Awarded Best Completed Research Paper. DOI not working

Share

COinS