Uploaded on 2014-10-17 by Aaron_Thibeault

[1]: https://edxuploads.s3.amazonaws.com/14135570807233789.jpg This is Queen St. East near Woodbine Ave in the Beaches community in Toronto, Canada. 1) The visible information in this photo includes the following: traffic flows (represented by cars and trucks, buses and streetcars, pedestrians and cyclists); residential, retail and commercial space and activity (represented by buildings short and tall); infrastructure and infrastructure flows (represented by concrete roads and sidewalks and steel streetcar lines, electrical wiring and street and traffic lighting, and street furniture); and green elements/public space (represented by trees, and a park and public square [the latter two of which are difficult to see, but are located off to the left between the two sets of traffic lights]). 2) One piece of invisible information that could be extracted out of this photo includes that pertaining to the specific nature of the traffic flows. Specifically, how many car trips are taken through this thoroughfare (and how many passengers do these cars have on average), compared with how many pedestrian trips, compared with how many bus and streetcar trips--and, of course, what is the level of gridlock in the area at different times of the day as measured by average vehicle speed. A second piece of invisible information that could be extracted out of the photo includes that pertaining to the use of energy. Specifically, how much energy is being used to power the buildings, transportation vehicles and infrastructure elements, and what is the source of this energy, both grid and non-grid (either fossil fuels, nuclear, hydroelectric, renewables etc.) 3) In terms of using invisible information to generate knowledge to make this a more livable urban space I would refer to the energy information. Specifically, the energy information could be used to determine the most (and least) efficient and sustainable sources of energy in play (both in terms of cost and environmental impact). This could then be cross-referenced with the performance of potential alternatives to propose possible changes.