Making the invisible - visible. Kyiv, Ukraine
FC-01x Future Cities (1st Run) - Exercise 1 : "Making the Invisible - Visible"
Uploaded on 2015-05-01 by mtkachuk
![enter image description here][1] The photo was taken at 19.00. This is a picture of the Taras Shevchenko National University of Kyiv, situated in the city center. ***Visible information:*** an old building, appearance of it's facade, central entrance and height; streetlights over the road; coffee truck; type and number of cars on the street and on the parking lot; pedestrian crossing with traffic light and road sign; number and appearance of people walking by, public transport minibus en route, stops on the sidewalks, transmission facilities for trolleybus, trees and green spaces. **2. Identify and present two "invisible information" that can be extracted out of the visible information of this photo.** **1.** Taking into account the occupancy of the street we can make a conclusion that it's busy thruway across the city center with public transport routes. We can take different traking information about use of building and travel behavior. Also, we can marking out travel behavior of people going directly to the university - students and lecturers. **2.** Thanks to information about the building appearance and it purpose, we can better understand the historic aspects of this city quater, initiated in different times. **3. Select one of your choices from the previous question and describe how this invisible information can become knowledge and contribute to the planning of a more liveable urban space.** As an example, I take an invisible information about the transportation system to the University. Patterns of travel behaviors will provide the better transportation service and interchange patterns will provide the better connections for students and lecturers. For example, by analyzing information of how many students and lecturers using bikes we can make future decisions about neŃessity of new bycicle parking lots and lanes, or location of bycicle rental stations in main interchange stations (determined during analysis). [1]: https://edxuploads.s3.amazonaws.com/14304704228426904.jpg