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Traffic safety - answering tough questions with open data

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Presentation by Christina Franken at Open Belgium 2018 - http://2018.openbelgium.be/session/traffic-safety-answering-really-tough-question-open-data

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Traffic safety - answering tough questions with open data

  1. 1. Mapbox Cities Mentorship program for cities to get smarter at making data-driven decisions Open by default Urban challenges New technologies
  2. 2. Improving cities faster Return on Investment (RoI) Organizations can expect increased RoI when investing in open source technology (World Bank) Traditional “closed-by-default” Open Source at least 200%
  3. 3. Open Source for Cities: Get better, faster!
  4. 4. Copy what works.
  5. 5. Repeat.
  6. 6. Alarming rise in traffic fatalities 2014 Traffic fatalities in the United States 2015 Sharp increase of traffic fatalities by 7.2% A wave of ‘Vision Zero’ initiatives... 35,09232,675
  7. 7. Alarming rise in traffic fatalities 2014 Traffic fatalities in the United States 2015 Sharp increase of traffic fatalities by 7.2% 35,09232,675 37,461 2016 Number continued to rise... ?
  8. 8. Vision Zero “No loss of life is acceptable.”
  9. 9. Vision Zero DC
  10. 10. Data - driven decision making www.dcvisionzero.com
  11. 11. Washington, DC
  12. 12. Census data on race and ethnicity in DC
  13. 13. Goal: Act faster OPEN DATA POLICY ACTION Time
  14. 14. Timeline 2017 Dec 2016 Start conversations with DDOT Kicking off In-person meeting in DC Smart Cities Week DC Deadline to present some insights to the public Open Belgium Sharing our take aways 2016 2017 April - Aug - Oct Nov Dec 2018 - Mar
  15. 15. How can we better prioritize where measures are needed?
  16. 16. DC’s crash data 150,000+ entries 45+ attributes Data quality Cause of errors obscured by complex internal processes Format changes Split data into two separate sets that couldn’t be joined b/c of #1
  17. 17. Assumption 1 More vehicles or pedestrians = more opportunities for incidents
  18. 18. Assumption 2 Higher speeds = more crashes
  19. 19. Assumption 3 More shops, restaurants & schools = higher frequency of crashes CC BY-ND 2.0 by Daniel M. Hendricks | Flickr
  20. 20. Data available opendata.dc.gov Crash data (before 2017) Census data Intersection data DDOT + Howard University Traffic Data Center Traffic counts Mapbox Mobile sensor data (speeding)
  21. 21. Modeling Collision Frequency Various conditions Traffic counts Employment data census block Intersections School locations Mapbox speed data* Density of crashes
  22. 22. Lively urban streets. More accidents.
  23. 23. Intersection density matters. CC BY-ND 2.0 by Sonara Arnav | Flickr
  24. 24. Higher speeds More incidents = unrelated
  25. 25. School locations Crash frequency = unrelated
  26. 26. Why took it so long? Dec 2016 Start conversations with DDOT Talking legalese Finally we agreed that no contract is ok, since only using open data. Testing datasets With distributed team, no clear guidance from the DDOT team Smart Cities Week DC Deadline to present some insights to the public Open Belgium Sharing our take aways 2016 2017 April - Aug - Oct Nov Dec 2018 - Mar Smart City Expo Barcelona Presenting the project
  27. 27. Team involved Ramya FARS data analysis, front end Bangalore Bhargav Dana Data analysis, preparation Bangalore Testing additional datasets Washington, DC Michele Research, data prep, statistics PhD, King’s College London Ryan Technical scope of the project San Francisco
  28. 28. Final team Rasagy UX design, data visualization Bangalore Eric Morgan Data modelling. Creator of tippecanoe. San Francisco Data analysis, data prep. Creator of turf.js San Francisco Mikel Local coordination, data prep Washington, DC
  29. 29. Take aways working with local government on (open) data-driven tools
  30. 30. MVPs Prototype - “Show don’t just tell.” Deadlines Set external deadlines Passion Assemble a diverse team that’s passionate about the cause Feedback Give recommendations to improve data quality Plan B Have an alternative in case not all data is accessible
  31. 31. Newsletter mapbox.com/cities Questions christina@mapbox.com

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