Tracking Trash
Author(s)
Phithakkitnukoon, Santi; Wolf, Malima I.; Offenhuber, Dietmar; Lee, David; Biderman, Assaf; Ratti, Carlo; ... Show more Show less
DownloadRatti_Tracking trash.pdf (7.457Mb)
OPEN_ACCESS_POLICY
Open Access Policy
Creative Commons Attribution-Noncommercial-Share Alike
Terms of use
Metadata
Show full item recordAbstract
Using active self-reporting tags, the authors followed 2,000 objects through Seattle's waste management system. By making the waste "removal chain" more transparent, they help reveal the disposal process of everyday objects, highlighting potential inefficiencies in the current removal system.
Date issued
2013-04Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning; Massachusetts Institute of Technology. SENSEable City LaboratoryJournal
IEEE Pervasive Computing
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Phithakkitnukoon, Santi, Malima I. Wolf, Dietmar Offenhuber, David Lee, Assaf Biderman, and Carlo Ratti. “Tracking Trash.” IEEE Pervasive Computing 12, no. 2 (April 2013): 38–48.
Version: Author's final manuscript
ISSN
1536-1268