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GreenWheel

All components contained in the
back wheel. Easily retrofitted into
any standard bicycle



Regenerative Breaking



Intelligent Locking Mechanism

Electric motor turns on when extra
power is needed on hills


Sensors in back wheel monitor
• air quality,
• distances traveled
• journey’s made



Torque measured when pedaling to
give fitness readings


                                      63
66
67
Imagine we could use smart tags to reveal where our garbage
goes… we could follow the final journey of our everyday
objects and increase awareness of sustainable practices…
Waste and the city – does volume matter?
Are we aware how much waste we produce?
Why do we know so much about the supply chain and so little
about the ‘removal chain’?
What if waste collection suddendly stopped?
(Think about what happened recently in Naples, Italy, where the streets were
overwhelmed with garbage…)
Image a city entirely made of garbage




Wall-E’s post-human waste city of the future     2008’s waste emergency in Naples, Italy
the performance: from my house to the street… to where?
Disseminating tagged products into the city of New York
and following them in space and time
What we want to show…
                        We celebrate and document THE WASTE OBJECT
                        before throwing it away through portraits and in a
                        database. Afterwards, we follow it and visualize its
                        physical COORDINATES and its MOVEMENT
                        through space, tracing its PATH on the map and
                        displaying snapshots of the STREET VIEWS through
                        which the object travels. This takes the viewer along
                        the waste object’s end-of-life journey.
                        How far outside the city will the trash travel?
>MIT campus
          Location: Boston, MA
          Area: 168 acres
          People: 10, 320 students and 9, 414 total employees
          Buildings: over 190




Context        /    Test environment /                Data      /   Preliminary data interpretation   /   Conclusion
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels
Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels

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Carlo Ratti, The "real-time city"- the SENSEable City Laboratory at MIT - Interfacing Innovation Brussels

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  • 34. GreenWheel All components contained in the back wheel. Easily retrofitted into any standard bicycle Regenerative Breaking Intelligent Locking Mechanism Electric motor turns on when extra power is needed on hills Sensors in back wheel monitor • air quality, • distances traveled • journey’s made Torque measured when pedaling to give fitness readings 63
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  • 40. Imagine we could use smart tags to reveal where our garbage goes… we could follow the final journey of our everyday objects and increase awareness of sustainable practices…
  • 41. Waste and the city – does volume matter? Are we aware how much waste we produce? Why do we know so much about the supply chain and so little about the ‘removal chain’? What if waste collection suddendly stopped? (Think about what happened recently in Naples, Italy, where the streets were overwhelmed with garbage…) Image a city entirely made of garbage Wall-E’s post-human waste city of the future 2008’s waste emergency in Naples, Italy
  • 42. the performance: from my house to the street… to where? Disseminating tagged products into the city of New York and following them in space and time
  • 43. What we want to show… We celebrate and document THE WASTE OBJECT before throwing it away through portraits and in a database. Afterwards, we follow it and visualize its physical COORDINATES and its MOVEMENT through space, tracing its PATH on the map and displaying snapshots of the STREET VIEWS through which the object travels. This takes the viewer along the waste object’s end-of-life journey. How far outside the city will the trash travel?
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  • 57. >MIT campus Location: Boston, MA Area: 168 acres People: 10, 320 students and 9, 414 total employees Buildings: over 190 Context / Test environment / Data / Preliminary data interpretation / Conclusion