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OTREC counting-bikes&peds

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  • 1. We are Traffic: Creating Robust Bicycle and Pedestrian Count Programs Krista Nordback, Ph.D., P.E. Oregon Transportation Research and Education Consortium (OTREC) Portland State University
  • 2. Overview • • • • Introduction Traffic Monitoring Programs Non-Motorized Count Programs Conclusions & Recommendations
  • 3. INTRODUCTION
  • 4. Why measure walking & biking?
  • 5. Why measure walking & biking? • Funding & policy decisions
  • 6. Why measure walking & biking? • Funding & policy decisions • To show change over time
  • 7. Why measure walking & biking? • Funding & policy decisions • To show change over time • Facility design
  • 8. Why measure walking & biking? • • • • Funding & policy decisions To show change over time Facility design Planning (short-term, long-term, regional…)
  • 9. Why measure walking & biking? • • • • • Funding & policy decisions To show change over time Facility design Planning (short-term, long-term, regional…) Economic impact
  • 10. Why measure walking & biking? • • • • • • Funding & policy decisions To show change over time Facility design Planning (short-term, long-term, regional…) Economic impact Public health
  • 11. Why measure walking & biking? • • • • • • • Funding & policy decisions To show change over time Facility design Planning (short-term, long-term, regional…) Economic impact Public health Safety
  • 12. How many bike and walk? • Surveys – National – Regional – Local • Counts – Permanent – Short duration
  • 13. TRAFFIC MONITORING PROGRAMS
  • 14. State Traffic Monitoring Permanent Counters Commonly inductive loops Metro Count Accessed 6/13/13 http://mtehelp.tech-metrocount.com/article.aspx?key=mc5805 Short Duration Counters Commonly pneumatic tubes
  • 15. Colorado’s Permanent Counters
  • 16. Colorado’s Short Duration Traffic Counts CDOT OTIS Accessed 6/18/13 http://dtdapps.coloradodot.info/Otis/HighwayData#/ui/0/1/criteria/~/184.667/210.864
  • 17. Permanent Counter Data Short Duration Counts Annual Average Daily Traffic (AADT) Vehicle Miles Traveled (VMT)
  • 18. Use AADT to Estimate VMT COLORADO HIGHWAYS Sum (AADT X Segment Length) over network to compute Vehicle Miles Traveled (VMT)
  • 19. Can we apply these methods to biking and walking?
  • 20. Compute Annual Average Daily Bicyclists (AADB) AADT for bicyclists!
  • 21. Traffic Monitoring Guide 2013: Chapter 4 for Nonmotorized Traffic
  • 22. NON-MOTORIZED COUNT PROGRAMS
  • 23. The TMG 2013 Approach
  • 24. The TMG 2013 Approach
  • 25. National Bicycle and Pedestrian Documentation Project Manual Counts: 2 hours 5 to 7pm Tues, Wed, or Thurs in mid-September http://bikepeddocumentation.org/
  • 26. Passive Infrared Counters
  • 27. Inductive loop counters in bike lanes
  • 28. Combined Bicycle and Pedestrian Continuous Counter
  • 29. The TMG 2013 Approach
  • 30. Permanent Count Program
  • 31. Permanent Count Program
  • 32. Geographic/Climate Zones
  • 33. Urban vs. Rural
  • 34. 600 Continuous Count Stations Annual Average Daily Bicyclists (AADB) High Medium 200 Low Volume Categories 0 500 AADB 1,000
  • 35. Traffic Monitoring Guide 2013 Update, Chapter 4.
  • 36. Permanent Count Program
  • 37. Daily Patterns 180% 160% 140% % of AADB 120% 100% 80% 60% 40% 20% 0% Colorado Example (Bikes only)
  • 38. 12:00 AM 1:00 AM 2:00 AM 3:00 AM 4:00 AM 5:00 AM 6:00 AM 7:00 AM 8:00 AM 9:00 AM 10:00 AM 11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 9:00 PM 10:00 PM 11:00 PM % of AADB Hourly Commute Pattern 25% 20% 15% 10% 5% 0% City of Boulder Example (Bikes only)
  • 39. 0:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 Average Hourly Volume Hourly Non-commute Pattern 400 Jan 350 Feb Mar 300 Apr 250 May 200 Jun Jul 150 Aug 100 Sep 50 Oct Nov 0 Source: Pam Johnson, PSU Dec
  • 40. Permanent Count Program
  • 41. 12 Possible groups 3 Daily Patterns Commute In Between Non-Commute
  • 42. 12 Possible groups 3 Daily Patterns 2 Weekly Patterns Commute Commute In Between Non-Commute Non-Commute
  • 43. 12 Possible groups 3 Daily Patterns 2 Weekly Patterns 2 Annual Patterns Commute Commute Commute In Between Non-Commute Non-Commute Non-Commute
  • 44. 12 Possible groups 3 Daily Patterns 2 Weekly Patterns 2 Annual Patterns Commute Commute Commute In Between Non-Commute Non-Commute Non-Commute
  • 45. 12 Possible groups 3 Daily Patterns 2 Weekly Patterns 2 Annual Patterns Commute Commute Commute In Between Non-Commute Non-Commute Non-Commute
  • 46. 12 Possible groups 3 Daily Patterns 2 Weekly Patterns 2 Annual Patterns Commute Commute Commute In Between Non-Commute Non-Commute Non-Commute
  • 47. Weekly Pattern Higher Weekends? No Location Yes Rural Mtn Trail? Mountain Non-commute Yes No Urban Plains Non-commute Commute
  • 48. Permanent Count Program
  • 49. Factoring Method Adapted from Traffic Monitoring Guide AADB = Cknown* D * M Cknown = 24-hour count D = Daily Factor M = Monthly Factor
  • 50. Factoring Method Adapted from Traffic Monitoring Guide AADB = Cknown* D * M Cknown = 24-hour count D = Daily Factor M = Monthly Factor
  • 51. Monthly Factor M= AADB MADB where MADB = Ave daily bike count in that month
  • 52. Monthly Factor June M= AADB MADB = 500 1,000 where MADB = Ave daily bike count in that month
  • 53. Monthly Factor June M= AADB MADB = 500 1,000 = 0.5 where MADB = Ave daily bike count in that month
  • 54. Monthly Factor June M= AADB MADB = 500 1,000 = 0.5 Daily counts in June are twice AADB. where MADB = Ave daily bike count in that month
  • 55. Groups: Colorado Monthly Factors Mountain NonCommute Front Range NonCommute Commute January 3.90 1.54 February 3.15 2.00 March 1.26 1.23 April 2.16 1.07 1.05 May 1.04 0.75 0.93 June 0.52 0.76 0.71 July 0.42 0.76 0.82 August 0.51 0.74 0.67 September 0.71 0.76 0.78 October 1.73 0.99 1.04 November 1.46 1.36 December 2.52 2.28
  • 56. Groups: Colorado Monthly Factors Mountain NonCommute Front Range NonCommute Commute January 3.90 1.54 February 3.15 2.00 March 1.26 1.23 April 2.16 1.07 1.05 May 1.04 0.75 0.93 June 0.52 0.76 0.71 July 0.42 0.76 0.82 August 0.51 0.74 0.67 September 0.71 0.76 0.78 October 1.73 0.99 1.04 November 1.46 1.36 December 2.52 2.28
  • 57. Permanent Count Program
  • 58. Precision of Monthly Factors How many counters/group? 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Non-Commute Factors Commute Counters Average 0 1 2 3 4 5 6 7 8 9 1011121314 Number of Counters
  • 59. Permanent Count Program
  • 60. The TMG 2013 Approach
  • 61. The TMG 2013 Approach
  • 62. The TMG 2013 Approach
  • 63. Short Duration Count Program
  • 64. Short Duration Count Program
  • 65. Turning Movement Counts
  • 66. Segment Count A B
  • 67. Short Duration Counters • Pedestrian Manual Infrared • Bicycle Manual Pneumatic Tube Counters
  • 68. Traffic Monitoring Guide 2013 Update, Chapter 4.
  • 69. Short Duration Count Program
  • 70. Potential Selection Criteria • Variety of facility types – On-street – Path • Variety of land uses – Central business district – Residential – School/University • Technology related criteria
  • 71. Short Duration Count Program
  • 72. Average Absolute % Difference Count Duration 70% 60% 50% 1 week 40% 30% 20% 10% 0% 0 200 400 Count Duration (hours) 600
  • 73. Short Duration Count Program
  • 74. Absolute % Error in AADT Estimate Schedule Counts 100% 80% 60% 40% 20% 0% 1 2 3 4 5 6 7 8 Month 9 10 11 12 May to October best for Colorado
  • 75. The TMG 2013 Approach
  • 76. Factoring Method Adapted from Traffic Monitoring Guide AADB = Cknown* D * M Cknown = 24-hour count D = Daily Factor M = Monthly Factor
  • 77. AADB
  • 78. VMT for bicycles
  • 79. CONCLUSIONS & RECOMMENDATIONS
  • 80. Summary • Traffic Monitoring Guide Approach: – Permanent Count Program – Short Duration Count Program – Compute AADT for Bikes and Pedestrians
  • 81. On-line Guide www.pdx.edu/ibpi/guide-to-bicycle-pedestrian-count-programs
  • 82. Recommendations • Both permanent and short duration count programs are needed. • Continuous counters are needed! • Prefer 1 week short count • Short duration counts in high volume months – summer • Integrate bike/ped counts into traffic data for preservation and access
  • 83. Balance Permanent and Short Duration Programs SHORT PERMANENT COUNT PROGRAM DURATION COUNT PROGRAM
  • 84. Iterative Process
  • 85. Iterative Process
  • 86. Example
  • 87. 1st Year SHORT PERMANENT COUNT PROGRAM 1 Permanent Counter DURATION COUNT PROGRAM 20 Manual Counts
  • 88. 2nd Year SHORT PERMANENT COUNT PROGRAM 1 Permanent Counter Rotate 1 counter all summer DURATION COUNT PROGRAM 24 Automated Short Duration Sites (one week per site)
  • 89. 3rd Year PERMANENT COUNT PROGRAM 5 Permanent Counters SHORT DURATION COUNT PROGRAM Rotate 2 counters all summer 48 Automated Short Duration Sites (one week per site)
  • 90. 4th Year SHORT DURATION COUNT PROGRAM PERMANENT COUNT PROGRAM 6 Permanent Counters Rotate 5 counters all summer 120 Automated Short Duration Sites (one week per site)
  • 91. 10th Year SHORT DURATION COUNT PROGRAM PERMANENT COUNT PROGRAM 12 Permanent Counters Rotate 10 counters all summer on 3 year rotation 720 Automated Short Duration Sites (one week per site) on 3 year rotation
  • 92. On-going Work • Colorado, Vermont, Minnesota, Oregon, North Carolina, Washington State DOT’s are developing programs. • TRB Bike/Ped Data Subcommittee • FHWA to include bike/ped counts in Travel Monitoring Analysis System (TMAS) • OTREC’s Bike/Ped Data Archive
  • 93. Questions? Krista Nordback Nordback@pdx.edu 503-725-2897

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