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Predicting YouBike
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brandon liu
May 28, 2015
Research
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Predicting YouBike
Modeling demand for Taipei area bike share stations
brandon liu
May 28, 2015
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Transcript
Predicting YouBike YouBike 預測 youbikeforecast.com 劉知岳 (Brandon)
[email protected]
Why Forecast?
UNDERSTAND Observe past phenomena confirm or deny intuitions based on
data quantify service quality
MAKE DECISIONS See what is likely to happen in the
immediate future
What applications? http://pureinformation.net/transit-tracker/
None
Public YouBike API http://opendata.dot.taipei.gov.tw/opendata/ gwjs_cityhall.json
youbikeforecast.com
TOOLS LevelDB - data store Go, nginx, python, EC2 -
server Leaflet, d3 - web page
The shape of the data tells a story
How might we classify YouBike stations based on usage patterns?
Pattern: Morning/Evening Commute (信義/杭州路⼝口)
Pattern: Night Owls (國⽗父紀念堂)
Pattern: School (公館(台⼤大前⾯面)
Choosing a metric What can we measure that affects users?
How many minutes per day you can’t rent a bike (or what % of the day)
Pricing change March 2015(師⼤大)8% Unavailable
Pricing change April 2015(師⼤大)3% Unavailable
Improve the model? Weekend/Weekday (信義/杭州)
Improve the model? Weather (師⼤大) 下⼤大⾬雨
Adjustments
github.com/bdon/youbike-data