CityWays Data Visualization
by Hyemi Song
- Awarded April 15, 2018
- CLIENT: MIT Senseable City Lab
- 34.253
CityWays is a research to reveal human's recreational patterns through visualizing datasets from self-tracking applications, quantifying the effects of temperature, precipitation, and other environmental factors. Through finding factors that affect pedestrian activities, we also found implications on street design and zoning policies, possibly leading to a re-definition of well-known static metrics of walkability.
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