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

STRAVA Spatial Data and Processes:

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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?. - PowerPoint PPT Presentation

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Page 1: 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

Page 2: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Strava’s Big Spatial Data125+ million activities300+ billion GPS points60% international

Page 3: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Strava Labs Projects

Page 4: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

How did the Geo Pod come to be?

Geo ReportingBad GPS dataSegment correctionswww.strava.com/routesGeo Team was created

Page 5: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Strava Metro Quick Timeline

Data requests in early 2012Planning, Research, Big DataRaw data

No raw data sold or provided to groupsStrava Metro was born and first release to Oregon DOT on February 12, 2014

Page 6: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

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

Page 7: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Who is Strava?Strava has grown into the leading online cycling and running communityOur members cross all types of demographicsUrban area uploads are around 40% commute

• 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

• 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

Who makes up San Francisco Strava?

Page 8: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Locating Commutes

Page 9: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Strava Metro is a Custom Built Product

Vector GIS polyline LayersBasemap is user dependent (OSM, TomTom, City Provided)

AM/PM commute timesOn and Off Season Polygon tables: Census Blocks, zip codes, wards or customCity Bike & CycleTracks GPS Tracks Integration

Page 10: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Page 11: STRAVA Spatial Data and Processes:

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Core Strava Metro Files

Page 12: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Minute View

Page 13: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Rolled Up View

Page 14: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Filtering by Commutes

Page 15: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Origin/Destination Matrix

Page 16: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Spatial Movement by Zones

Page 17: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Node Wait Times

Page 18: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Intersection Based Data

Page 19: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Strava Metro: The Big Picture

Page 20: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Strava Metro Infrastructure Change Adoption

Page 21: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Net Gain & Loss

Page 22: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Weekend vs Weekday Use

Page 23: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Peak Riding Times and Days

Page 24: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Strava Correlation: Oregon Sample

Page 25: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Web Interface: OD and Streets Example

Page 26: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

Missing Cycling Corridors

Page 27: STRAVA Spatial Data and Processes:

Strava, Inc. 2014

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

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Strava, Inc. 2014