#Data-driven #DataVisualization #Mapping #Emotion #Ambience
Street Life Map
; Adding an emotion layer on the urban area
Harvard Graduate School of Design | 2019
Advisor: David Malan (CS50)
Team: CY Chang, Shikun Zhu
Duration: 1 month
Role: Ideation, research, data collection, implementation
Tools: Mapbox API(JavaScript), Urban Network Analysis(Rhino)
︎ Interactive Prototype
> How might we improve the urban experience for the people who barely know the area?
![](https://freight.cargo.site/t/original/i/27b4cfe1413c5c057439eb111d42536d9a15d0a3cee1c24b6d856d740c1cbe5d/demo2.png)
| Problem |
Visitors, travelers, or newcomers often have a hard time understanding the neighborhood’s ambience just as looking at the maps.
| Goal |
Encouraging people to explore the city and improve their urban experience
>> A new way of visualizing urban street ambience by measuring the intensity of social activities that may happen on the streets
How it works
| Accessibility to Scores |
The scores are calculated based on certain types of geospatial point (POI) data
e.g., catering, leisure, shop, and tree cover ratio
e.g., catering, leisure, shop, and tree cover ratio
![](https://freight.cargo.site/t/original/i/650affe327e5c8521b790b6ac375faf4da857749c92096531590e413322c86ca/diagram-01.png)
| Scores to Line Weight |
Each street’s scores are normalized and converted to line weights to represent the intensity.
![](https://freight.cargo.site/t/original/i/7bdf78b9e1508bf0fe10d3acde2fb8570d09a09e0bed6256870540b781dd44a2/Screen-Shot-2020-04-20-at-9.28.53-AM.png)
Prototype
![](https://freight.cargo.site/t/original/i/4623a810f12d3c4d349a953d1d9ba0603fc50c3b3270468cd5c3dfb8c67a7a2c/ezgif.com-video-to-gif-7.gif)
︎ Interactive Prototype