1 / 26

Update on Bicyclist & Pedestrian Data Collection and Modeling Efforts

Update on Bicyclist & Pedestrian Data Collection and Modeling Efforts. Transportation Research Board January 2010 Charlie Denney, Associate Michael Jones, Principal. Four concurrent efforts. #1: Seamless Travel: 2.5 year study of San Diego County

audrey-cunningham
Télécharger la présentation

Update on Bicyclist & Pedestrian Data Collection and Modeling Efforts

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. Update on Bicyclist & Pedestrian Data Collection and Modeling Efforts Transportation Research Board January 2010 Charlie Denney, Associate Michael Jones, Principal

  2. Four concurrent efforts • #1: Seamless Travel: 2.5 year study of San Diego County • For Caltrans with UC Berkeley Traffic Safety Center

  3. Four concurrent efforts • #2: National Bicycle & Pedestrian Documentation Project • Free, unfunded service • With ITE, Texas Transportation Institute, and others since 2002

  4. Four concurrent efforts • #3: Non-motorized Transportation Pilot Project • With Volpe National Transportation Systems Center since 2006 • #4: Trip generation study with ITE: initiated in 2009

  5. Collected and Analyzed to Date • NBPD count/survey data from 320+ agencies nationwide • NHTS add-on for San Diego County (2010) • Count/survey data at over 150 locations for 4 NTPP communities + mail travel diary surveys • 365-day/yr 24 hr counts for 2 years at 5 locations • Manual counts/intercept surveys at 80 locations over 2 years

  6. Result • Largest collection of usable count and intercept survey data in the U.S. • Count data = validation = model accuracy

  7. Key Seamless Findings • 76% of walk and 29% of bicycle trips are for transportation (v. recreation) = • Integral parts of transportation system • Deserve more funding

  8. Key Seamless Findings • Multi use pathways carry the most transportation trips = • Should be funded as transportation projects

  9. Key Seamless Findings • Multi use pathway free flow capacity is 120 persons per hour per foot of width = • Pathway design should be based on projected volumes

  10. Key Seamless Findings • Multi use pathway ‘design day’ is July 4th, 11am-1pm = • Conduct counts on this date

  11. Key Seamless Findings • Given seasonal & regional variations, annual volumes should be standard unit of measurement = • Versus ADT, peak hour, etc.

  12. Key Seamless Findings • Low volumes = high variability • High volumes = low variability = • Conduct multiple counts at low volume locations for model validation

  13. Key Seamless Findings • Monthly volumes highly related to regional variations = • Automatic counters needed in each region of the country to calibrate models

  14. Monthly Variation: East/Midwest

  15. Monthly Variation: San Diego

  16. How can we model behavior? • Four types of models needed • Each with different data needs and uses

  17. Model #1 • Aggregate Model • Measures overall trip making in an area • Used in Non-motorized Transportation Pilot Project • Cross checked with NHTS & U of Minnesota Surveys

  18. NBPD Aggregate Model Work CommuteEmployed adults riding bicycles/walking (US Census) School CommuteSchool children riding bicycles/walking (US Census and available sources) College CommuteCollege students riding bicycles/walking (UC Census) Utilitarian TripsNon-work or school trips by bicycle/walking (surveys, other) Recreational/DiscretionaryRecreational/discretionary trips by bicycle/walking (surveys, studies) Total daily estimated bicycle and walking trips Average trip length, trip purpose Replaced vehicle miles, health, transportation, other benefits

  19. Model #2 • Trip Generation • Measures trip making by land use • Will be used as part of impact analysis, localized models • Data being collected by ITE

  20. Model #3 • Gravity Model • Measures volumes using 4-step process • Usable at bottlenecks and where there is a regular street grid, developed bike network, and level terrain

  21. Can we use existing models? • Existing 4-step (gravity) travel models will not work for bicyclists and pedestrians for most areas

  22. 4-Step Models • Most trips within a TAZ • Most ped trips linked • Most factors affecting trip making can’t be modeled: • Topography • Abilities, interests, aesthetics • Concerns about security & traffic • Quality of facilities & network

  23. How can we model behavior? • GIS-based (Seamless) Model • Estimates bicyclist and pedestrian volumes anywhere in a community • Can be used to develop collision rates, prioritize improvements, plan and design facilities and communities

  24. Seamless Model (Bike Module)

  25. GIS-based Seamless Model • 30+ variables correlated with counts • Highest = Employment density and population density • Misleading R2 factors. Over 50% of locations off by more than 100% • Refinement factors resulted in R2 of .94, with mean residuals of -21

  26. Summary More information or to participate: Alta Planning + Design www.altaplanning.com mgjones@altaplanning.com Michael Jones (415) 482-8660

More Related