• DocumentCode
    132013
  • Title

    Learning from tracking waste: How transparent trash networks affect sustainable attitudes and behavior

  • Author

    Lee, Daewoo ; Offenhuber, Dietmar ; Biderman, Assaf ; Ratti, C.

  • Author_Institution
    SENSEable City Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2014
  • fDate
    6-8 March 2014
  • Firstpage
    130
  • Lastpage
    134
  • Abstract
    Building on top of an experiment in tracking the movement of trash, we tested whether viewing this sensor data would change peoples´ sustainability attitudes and behaviors. We showed subjects real-time maps of trash tagged with networked GPS sensors, and surveyed them before and after seeing this information. Our results show that subjects did not significantly change their behavior in the long run, but they reported better understanding of where their trash went and how tracking technologies worked. Those who participated in deploying sensors reacted differently on some questions from those who had not volunteered. This study illustrates both limits and new opportunities for the Internet of Things to improve sustainability outreach and action at the grassroots level.
  • Keywords
    Global Positioning System; object tracking; waste; grassroots level; networked GPS sensors; real-time maps; sensor data; transparent trash networks; trash movement; waste tracking; Cities and towns; Internet; Real-time systems; Recycling; Sensors; Tracking; Waste disposal; Distributed sensing networks; behavior change; green IoT; real-time maps; smart cities; waste tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (WF-IoT), 2014 IEEE World Forum on
  • Conference_Location
    Seoul
  • Type

    conf

  • DOI
    10.1109/WF-IoT.2014.6803134
  • Filename
    6803134