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DATA MORPHOSIS
Design Research of Dynamic Systems | by Waishan QIU
EXPLORE YOUR TRAVEL COST BY SIMPLE CLICK
About Riyadh GO
Riyadh GO is a comprehensive visualization of your real-world travelling cost in terms of Money and Time from Riyadh hotspots. You can easily explore how far can you travel by Uber within 30 minutes and 50 SAD (local currency).
Our Methodology
Foursquare checkin data of Riyadh are visualized as node size and heat gradient to define the hotspots. Riyadh transportation OD analysis data and congession simulation data from MIT HuMNet LAB are deployed to visualize the real time cost. Uber cost estimate algorithm is deployed to assess the comprehensive real-world cost of Money, which is a combination of time and distance.
Special thanks to technical supports from Civic Data Design Lab, especially Prof. Sarah Williams, TA Carlos and Mike. Without them, the website and service cannot be fully realized.
Uber Cost Estimate
Data Flow
Incremental Cost Algorithm in Python
Our Team
xuzhang
Waishan QIU
M.CP 2017, MIT
Networkx, Prototype, Python
Xu ZHANG
M.ARCH 2017, MIT
Interface, UIUX, Javascript
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