Offenhuber, Dietmar; Lee, David; Wolf, Malima; Phithakkitnukoon, Santi; Biderman, Assaf and Ratti, Carlo
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|DOI (Digital Object Identifier) Link:||http://doi.org/10.1080/01944363.2012.677120|
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Reliable information on trash disposal is crucial but becomes difficult as waste removal chains grow increasingly complex. Lack of firm data on the spatial behavior of waste hampers effective recycling strategy design. In particular, the environmental impact of electronic and household hazardous waste is poorly understood. Our study investigates waste processing in an environmental, economic, and geographic context, using novel methods to track municipal solid waste in the city of Seattle (WA). We observed the movement of 2,000 discarded items using attached active GPS sensors, recording an unprecedented spatial dataset of waste trajectories. We both qualitatively identified facilities visited along each item's trajectory, then statistical modeled characteristic transportation distance and the likelihood of ending up at a specific type of facility by product categories, place of disposal, and collection mechanism. We show that a) electronic and household hazardous waste items travel significantly longer and have more arbitrary trajectories than other types of waste and b) that existing models for waste emissions may underestimate the environmental impact of transportation by not accounting for very long trajectories.
|Item Type:||Journal Article|
|Copyright Holders:||2012 American Planning Association,|
|Keywords:||waste management; environmental impact; pervasive sensing; recycling; transportation emissions|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Santi Phithakkitnukoon|
|Date Deposited:||30 Oct 2012 10:25|
|Last Modified:||02 Aug 2016 14:21|
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