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Pedestrian Safety Countermeasures Deployment and Evaluation: Las Vegas Case Study

This study aims to improve pedestrian safety and minimize risk by identifying, developing, deploying, and evaluating various countermeasures in the Las Vegas metro area. The study includes before and after studies, comparative studies, data collection, and statistical analyses to measure the effectiveness of different countermeasures.

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Pedestrian Safety Countermeasures Deployment and Evaluation: Las Vegas Case Study

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  1. Pedestrian Safety Countermeasures Deployment and Evaluation: Las Vegas Case Study Shashi Nambisan Director, InTrans & Professor of Civil Engineering Iowa State University (shashi@iastate.edu) Srinivas Pulugurtha, The University of North Carolina at Charlotte Mukund Dangeti, University of Nevada, Las Vegas Vinod Vasudevan, University of Nevada, Las Vegas FHWA’s Pedestrian Safety Web Conference Washington, DC May 28, 2009

  2. Goals • Improve pedestrian safety, minimize risk • Identify, develop, deploy, and evaluate countermeasures • Case Study: Las Vegas metro area, Nevada

  3. Introduction • Significant growth for 20+ years • Wide, fast street grid network • High posted & operational vehicle speeds • Widely used transit system • High risk conditions for pedestrians • Demographics • Population ~ 1.8 million • Diversity: age, race • 85 percent of the crashes involved locals

  4. Pedestrian Crashes (2003 – 2006)

  5. Methodology • Identify candidate locations • GIS based analysis • Site characteristics • Problem characteristics • Develop, deploy, & evaluate countermeasures • Measures of effectiveness

  6. Study Design • Before and after Studies • Comparative studies (with control group) • Data collection ( ~18,000 pedestrians) • Statistical analyses • Parametric • Non-parametric

  7. Study Locations • Top priority / high risk locations • Crash index and crash rank • Site selection: 18 locations • Includes 4 control locations • Excluded the resort Corridor (The “Strip” and its proximity) • Different jurisdictions • City of Las Vegas • City of North Las Vegas • Clark County • Nevada Dept of Transportation (State)

  8. Study Locations

  9. Selection of Countermeasures • Site characteristics • Geometric conditions • Operating conditions • Light conditions • Demographics • Land-use • Costs

  10. Countermeasures • Engineering based countermeasures • ITS based countermeasures • Others

  11. Advanced Warning Signs / Yield Markings

  12. High Visibility Crosswalk Treatment

  13. In-Roadway Knockdown Signs 13

  14. Portable Speed Trailer 14

  15. Turning Vehicles Yield to Pedestrians 15

  16. Danish Offset and Median Refuge 16

  17. Pedestrian Activated Flashers 17

  18. Automatic Pedestrian Detection and Smart Lighting 18

  19. Pedestrian Buttons that Confirm “Call” 19

  20. Pedestrian Channelization 20

  21. ITS No-Turn on Red Blank out Signs 21

  22. Pedestrian Countdown Timers with Animated Eyes 22

  23. Measures of Effectiveness / Statistical Tests 23 • Pedestrian • Using the crosswalk • Captured / diverted • Looking for cars before crossing • Trapped in the middle of the street • Pedestrian-vehicle Conflicts • Pedestrian waiting for signal to cross • Delay • Driver • Yielding behavior, distance • Blocking crosswalk • Speed

  24. Speed Trailer Site Information 24

  25. Speed Trailer and Vehicle Speeds 25 64.3kph 54.6kph 51.3 kph 50.7kph

  26. Speed Trailer: Vehicle Speeds Analysis 26

  27. Speed Trailer: Analysis of Pedestrians 27

  28. Highly Effective Countermeasures 28

  29. Moderately Effective Countermeasures 29

  30. 30 Countermeasures with Low Effectiveness

  31. Summary Significant overall benefits Pedestrian Driver Permitting & deployment considerations Administrative / jurisdictional hurdles Vendor / procurement difficulties Education needs: pedestrians, motorists 31

  32. Acknowledgments US Dept of Transp., Federal Highway Admin Nevada Dept of Transportation Nevada Office of Traffic Safety Regional Transp Commission of So. Nevada Clark County, Nevada City of Las Vegas UNLV TRC: students, staff 32

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