OTREC counting-bikes&peds

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OTREC counting-bikes&peds

  1. 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. 2. Overview • • • • Introduction Traffic Monitoring Programs Non-Motorized Count Programs Conclusions & Recommendations
  3. 3. INTRODUCTION
  4. 4. Why measure walking & biking?
  5. 5. Why measure walking & biking? • Funding & policy decisions
  6. 6. Why measure walking & biking? • Funding & policy decisions • To show change over time
  7. 7. Why measure walking & biking? • Funding & policy decisions • To show change over time • Facility design
  8. 8. Why measure walking & biking? • • • • Funding & policy decisions To show change over time Facility design Planning (short-term, long-term, regional…)
  9. 9. Why measure walking & biking? • • • • • Funding & policy decisions To show change over time Facility design Planning (short-term, long-term, regional…) Economic impact
  10. 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. 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. 12. How many bike and walk? • Surveys – National – Regional – Local • Counts – Permanent – Short duration
  13. 13. TRAFFIC MONITORING PROGRAMS
  14. 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. 15. Colorado’s Permanent Counters
  16. 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. 17. Permanent Counter Data Short Duration Counts Annual Average Daily Traffic (AADT) Vehicle Miles Traveled (VMT)
  18. 18. Use AADT to Estimate VMT COLORADO HIGHWAYS Sum (AADT X Segment Length) over network to compute Vehicle Miles Traveled (VMT)
  19. 19. Can we apply these methods to biking and walking?
  20. 20. Compute Annual Average Daily Bicyclists (AADB) AADT for bicyclists!
  21. 21. Traffic Monitoring Guide 2013: Chapter 4 for Nonmotorized Traffic
  22. 22. NON-MOTORIZED COUNT PROGRAMS
  23. 23. The TMG 2013 Approach
  24. 24. The TMG 2013 Approach
  25. 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. 26. Passive Infrared Counters
  27. 27. Inductive loop counters in bike lanes
  28. 28. Combined Bicycle and Pedestrian Continuous Counter
  29. 29. The TMG 2013 Approach
  30. 30. Permanent Count Program
  31. 31. Permanent Count Program
  32. 32. Geographic/Climate Zones
  33. 33. Urban vs. Rural
  34. 34. 600 Continuous Count Stations Annual Average Daily Bicyclists (AADB) High Medium 200 Low Volume Categories 0 500 AADB 1,000
  35. 35. Traffic Monitoring Guide 2013 Update, Chapter 4.
  36. 36. Permanent Count Program
  37. 37. Daily Patterns 180% 160% 140% % of AADB 120% 100% 80% 60% 40% 20% 0% Colorado Example (Bikes only)
  38. 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. 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. 40. Permanent Count Program
  41. 41. 12 Possible groups 3 Daily Patterns Commute In Between Non-Commute
  42. 42. 12 Possible groups 3 Daily Patterns 2 Weekly Patterns Commute Commute In Between Non-Commute Non-Commute
  43. 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. 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. 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. 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. 47. Weekly Pattern Higher Weekends? No Location Yes Rural Mtn Trail? Mountain Non-commute Yes No Urban Plains Non-commute Commute
  48. 48. Permanent Count Program
  49. 49. Factoring Method Adapted from Traffic Monitoring Guide AADB = Cknown* D * M Cknown = 24-hour count D = Daily Factor M = Monthly Factor
  50. 50. Factoring Method Adapted from Traffic Monitoring Guide AADB = Cknown* D * M Cknown = 24-hour count D = Daily Factor M = Monthly Factor
  51. 51. Monthly Factor M= AADB MADB where MADB = Ave daily bike count in that month
  52. 52. Monthly Factor June M= AADB MADB = 500 1,000 where MADB = Ave daily bike count in that month
  53. 53. Monthly Factor June M= AADB MADB = 500 1,000 = 0.5 where MADB = Ave daily bike count in that month
  54. 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. 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. 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. 57. Permanent Count Program
  58. 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. 59. Permanent Count Program
  60. 60. The TMG 2013 Approach
  61. 61. The TMG 2013 Approach
  62. 62. The TMG 2013 Approach
  63. 63. Short Duration Count Program
  64. 64. Short Duration Count Program
  65. 65. Turning Movement Counts
  66. 66. Segment Count A B
  67. 67. Short Duration Counters • Pedestrian Manual Infrared • Bicycle Manual Pneumatic Tube Counters
  68. 68. Traffic Monitoring Guide 2013 Update, Chapter 4.
  69. 69. Short Duration Count Program
  70. 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. 71. Short Duration Count Program
  72. 72. Average Absolute % Difference Count Duration 70% 60% 50% 1 week 40% 30% 20% 10% 0% 0 200 400 Count Duration (hours) 600
  73. 73. Short Duration Count Program
  74. 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. 75. The TMG 2013 Approach
  76. 76. Factoring Method Adapted from Traffic Monitoring Guide AADB = Cknown* D * M Cknown = 24-hour count D = Daily Factor M = Monthly Factor
  77. 77. AADB
  78. 78. VMT for bicycles
  79. 79. CONCLUSIONS & RECOMMENDATIONS
  80. 80. Summary • Traffic Monitoring Guide Approach: – Permanent Count Program – Short Duration Count Program – Compute AADT for Bikes and Pedestrians
  81. 81. On-line Guide www.pdx.edu/ibpi/guide-to-bicycle-pedestrian-count-programs
  82. 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. 83. Balance Permanent and Short Duration Programs SHORT PERMANENT COUNT PROGRAM DURATION COUNT PROGRAM
  84. 84. Iterative Process
  85. 85. Iterative Process
  86. 86. Example
  87. 87. 1st Year SHORT PERMANENT COUNT PROGRAM 1 Permanent Counter DURATION COUNT PROGRAM 20 Manual Counts
  88. 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. 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. 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. 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. 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. 93. Questions? Krista Nordback Nordback@pdx.edu 503-725-2897

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