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Using Transportation to Improve Public Health

Using Transportation to Improve Public Health. Ashley Tracy, Andrea Trabelsi, Scott Thompson-Graves (WRA) Mike DuRoss (DelDOT) 15 th TRB National Transportation Planning Applications Conference Raleigh, NC May 15, 2017. The Question.

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Using Transportation to Improve Public Health

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  1. Using Transportation to Improve Public Health Ashley Tracy, Andrea Trabelsi, Scott Thompson-Graves (WRA) Mike DuRoss (DelDOT) 15th TRB National Transportation Planning Applications Conference Raleigh, NC May 15, 2017

  2. The Question • Delaware Planners: How can we advance transportation projects that will improve public health? How should we prioritize trails for funding?

  3. The Question • Modelers: How can we enhance the existing statewide modeling tools to be sensitive to land use, accessibility, and multimodal projects and produce quantifiable health MOEs?

  4. The Answer • Enhanced travel survey • Active transportation behavior • Ties to built environment • Refined travel demand model • Trip prediction & assignment • Interagency coordination & communication • Common goals • Data! • Current health research • ITHIM, health MOEs

  5. Interagency Coordination

  6. Travel Survey • Delaware Travel Monitoring System Survey • Annually since 1995 • 48,000 people surveyed • 117,000 trips documented • +5-6k trips annually • OD Data geolocated

  7. Travel Survey • Under-reported • Enhanced in 2012 • Capture more walk & bike trips • Loop trips, home-home • Dog walking • Recreation • Over 26,000 enhanced trip data records from 2012-2015 • ~3,000 walk, 300 bike

  8. Travel Demand Model • Peninsula Model • Motorized travel • Delaware • Maryland’s Eastern Shore • 1.3 million+ population • Four-step TDM

  9. Travel Demand Model • Travel Analysis Zones • Multi-resolution at 3 levels • Peninsula zones • Census Block zones • Tax Parcel zones • Travel Network • Non-motorized travel • GIS Data • Emergency 911 shapefile • Routable • Trails • Sidewalk database • Multi-resolution • Standard resolution • High resolution

  10. Travel Demand Model Peninsula Model

  11. Travel Demand Model E911 Network

  12. Travel Demand Model Peninsula Zones

  13. Travel Demand Model Census Block Zones

  14. Travel Demand Model Parcel Zones

  15. Travel Demand Model • TDM Outputs • Feeds the ITHIM Calibration Data • Active transportation minutes and distance per capita • Sensitivity • Accessibility • Land use mix and density, urban form • Transportation plan investment scenarios - multimodal, transit, highway

  16. Health MOEs • Components • Physical activity • Travel related • Non-travel related • Air pollution • Grams per VMT • Traffic Injuries • Exposure by mode • Relative Risk • ITHIM • Integrated Transport and Health Impact Modelling Tool • Developed by Dr. James Woodcock et al at CEDAR • Dr. Neil Maizlish California model

  17. Calibration Data • Delaware Specific Calibration Data • Peninsula TDM • Per capita mean daily travel time • Per capita mean daily travel time by mode • Per capita mean daily travel distance • VMT by facility type • American Community Survey 5-Year (2011-2015) • Distribution of population by age and gender

  18. Calibration Data • Delaware Specific Calibration Data • Delaware Health Statistics Center Mortality Database (2009-2013) • Age-sex specific ratio of disease-specific mortality rate between geographic area and United States • Proportion of colon cancers from all colo-rectal cancers • WILMAPCO (2014) • Population forecasts future year

  19. Calibration Data • Delaware Specific Calibration Data • DTMS & BRFSS • Per capita weekly non-travel related physical activity • DelDOT Crash History (2011-2015) • 5-year annual average number of road traffic injuries

  20. Health MOEs • Case Study • 5 minutes walking daily increase per capita • Decrease in morbidity measures • Road traffic injuries increases due to exposure • Overall DALYs • Value of a Statistical Life (HEAT methodology)

  21. The Story So Far • Travel survey • Encouraged self-reporting of walk & bike trips • Travel demand model • Refined to predict and assign walk & bike trips • Interagency coordination • Data for ITHIM and produced health MOEs • Provides more well rounded factors for decision makers to consider when prioritizing projects

  22. NextSteps • Low Stress Routes • Health & trail user survey • Validation data • Sensitivity analyses • Keep pace as ITHIM evolves

  23. Questions Ashley Tracy atracy@wrallp.com Mike DuRoss michael.duross@state.de.us Andrea Trabelsi atrabelsi@wrallp.com Scott Thompson-Graves sthompson-graves@wrallp.com

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