Title:
Predicting Bicycle Ridership Volumes in Large Cities Using Big Crowdsourced Data from Strava using Linear Models from scikit learnDescription:
Traditional methods of collecting ridership data are expensive and time consuming.Crowdsource apps allow cyclists to track routes using GPS offer new data sources.We incorporate geolocated crowdsource data to predict cycling volumes at unknown locations using python scikit learn library for more detailed coverage of cycling volumes.
Presenter(s):
| Speaker: Avipsa Roy, School of Geographical Sciences and Urban Planning, Arizona State University | |
| Speaker: Trisalyn Nelson, School of Geographical Sciences and Urban Planning, Arizona State University |
