1 / 29

STRAVA Spatial Data and Processes:

STRAVA Spatial Data and Processes: Utilizing GIS and spatial tools to generate new data products from raw GPS cycling tracks on Strava. Strava’s Big Spatial Data. 125+ million activities 300+ billion GPS points 60% international. Strava Labs Projects. How did the Geo Pod come to be?.

renee
Télécharger la présentation

STRAVA Spatial Data and Processes:

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. STRAVA Spatial Data and Processes: Utilizing GIS and spatial tools to generate new data products from raw GPS cycling tracks on Strava

  2. Strava’s Big Spatial Data 125+ million activities 300+ billion GPS points 60% international Strava, Inc. 2014

  3. Strava Labs Projects Strava, Inc. 2014

  4. How did the Geo Pod come to be? Geo Reporting Bad GPS data Segment corrections www.strava.com/routes Geo Team was created Strava, Inc. 2014

  5. Strava Metro Quick Timeline Data requests in early 2012 Planning, Research, Big Data Raw data No raw data sold or provided to groups Strava Metro was born and first release to Oregon DOT on February 12, 2014 Strava, Inc. 2014

  6. Huge Amounts of Data Needed:What can GEO/GIS fill in? • Restaurant Dev zones • Where do cyclist spend Money • Difference between men and women cyclists? • Bike peer-networks • Bike new or used • % restaurant sales by bike • How to gather feedback on design elements • Perceived dangerous or challenging areas • What is the mode share by street segments • Where do people ride vs where do the want to ride • bike ownership rates by location and demographics • Where are bikes stored • Bike purchasing after bike share opens • Heath insurance for those who work on a bike • Bike theft data • Crash data based on cause/mode • Bikes on transit • Perception of bikes and bicyclists • Locations of cycling habitat fragmentation • Perception of safety on various faculties • Bike tire and accessory sales data • What is the rate of adoption • Loner bike for visitors • Patterns of usage that suggest better, safer ways of designing streets • Bike share routes vs. bike network • Where are bikes parked • Health of riders over time • Locations of near-misses and close calls • Cycling demo- who is riding • Cycling lanes not used • Lidar of street surface • Traffic counters • % of journeys on bike lanes • Free indoor parking? • Structure, qualitive rating of route or route segment • What makes new bike commuters starts? • How many people starting or re-starting riding because of bike share Strava, Inc. 2014

  7. Who is Strava? Strava has grown into the leading online cycling and running community Our members cross all types of demographics Urban area uploads are around 40% commute Who makes up San Francisco Strava? • Athlete ID Count: 23,714 • Activity Count: 394,883 • Average Distance: 28,904 m • Median Distance: 19,409 m • Average Time: 6,442 sec • Median Time: 4,188 sec • Commute Counts: 183,155 • Male Count: 18,511 • Male Count Under 25: 670 • Male Count 25 - 34: 5,826 • Male Count 35 - 44: 5,145 • Male Count 45 - 54: 3,444 • Male Count 55 - 64: 1,129 • Male Count 65 - 74: 243 • Male Count 75 - 84: 22 • Male Count 85 - 94: 19 • Male Count No Bday: 2,004 • Female Count: 3,705 • Female Count Under 25: 123 • Female Count 25 - 34: 1,501 • Female Count 35 - 44: 841 • Female Count 45 - 54: 448 • Female Count 55 - 64: 166 • Female Count 65 - 74: 30 • Female Count 75 - 84: 1 • Female Count 85 - 94: 1 • Female Count No Bday: 591 • Blank Gender Count: 1,498 Strava, Inc. 2014

  8. Locating Commutes Strava, Inc. 2014

  9. Strava Metro is a Custom Built Product Vector GIS polyline Layers Basemap is user dependent (OSM, TomTom, City Provided) AM/PM commute times On and Off Season Polygon tables: Census Blocks, zip codes, wards or custom City Bike & CycleTracks GPS Tracks Integration Strava, Inc. 2014

  10. Strava, Inc. 2014

  11. Core Strava Metro Files Strava, Inc. 2014

  12. Minute View Strava, Inc. 2014

  13. Rolled Up View Strava, Inc. 2014

  14. Filtering by Commutes Strava, Inc. 2014

  15. Origin/Destination Matrix Strava, Inc. 2014

  16. Spatial Movement by Zones Strava, Inc. 2014

  17. Node Wait Times Strava, Inc. 2014

  18. Intersection Based Data Strava, Inc. 2014

  19. Strava Metro: The Big Picture Strava, Inc. 2014

  20. Strava Metro Infrastructure Change Adoption Strava, Inc. 2014

  21. Net Gain & Loss Strava, Inc. 2014

  22. Weekend vs Weekday Use Strava, Inc. 2014

  23. Peak Riding Times and Days Strava, Inc. 2014

  24. Strava Correlation: Oregon Sample Strava, Inc. 2014

  25. Web Interface: OD and Streets Example Strava, Inc. 2014

  26. Missing Cycling Corridors Strava, Inc. 2014

  27. Final Metro Points Strava is receiving over 3 million uploads a week and has doubled every year Strava is free to download/use, ad free and available on Iphone and Android phones Strava’s apps are translated in 13 languages and the website in 5 Strava GEO is pushing the edge of providing critical cycling data to planning groups Strava, Inc. 2014

  28. Animation Time http://vimeo.com/102942524 https://www.youtube.com/watch?v=QZ5DuQTUPqk&list=UUdO8l6B6yeRDcsP1snssTPw Strava, Inc. 2014

  29. Strava, Inc. 2014

More Related