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Tracking trash

Phithakkitnukoon, Santi; Wolf, Malima I.; Offenhuber, Dietmar; Lee, David; Biderman, Assaf and Ratti, Carlo (2013). Tracking trash. IEEE Pervasive Computing, 12(2) pp. 38–48.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1109/MPRV.2013.37
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Abstract

Using active self reporting tags we were able to follow the journey of 2,000 objects through the waste management system of Seattle. We used this data to define measures of efficiency for what could be called the ‘removal chain’. We found that over 95% of the traces reached a compliant end destination. However, there were concerns with special categories of waste (cellphones, e-waste, and household hazardous waste) and specific geographic locations (trash from Bellevue and Redmond in particular did not follow the recommended best practices). We believe that similar studies may increase knowledge and systemic performance of waste management systems and, at a personal level, reduce the ‘out of sight out of mind’ attitude to trash.

Item Type: Journal Item
Copyright Holders: 2013 IEEE
ISSN: 1558-2590
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 35876
Depositing User: Santi Phithakkitnukoon
Date Deposited: 06 Jun 2013 08:39
Last Modified: 23 Sep 2018 19:49
URI: http://oro.open.ac.uk/id/eprint/35876
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