Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Settling the Score: Street Performance Measures--Sensitivity Analysis of multi-modal performance measures


Published on

Settling the Score: Street Performance Measures

In an effort to better quantify the pedestrian and bicycle experience, this panel discusses multi-modal level of service and alternative methodologies for evaluating how well streets welcome walking and biking. The speakers will explore perspectives from practice and academia, as well as regional versus street segment approaches.
Presenter: Madeline Brozen UCLA Complete Streets Initiative
Co-Presenter: David Anspacher Montgomery County Planning Department
Co-Presenter: Jessica Horning Oregon DOT
Co-Presenter: Mike Lowry Dept. of Civil Engineering, University of Idaho
Co-Presenter: Conor Semler Kittelson & Associates, Inc.

  • Be the first to comment

  • Be the first to like this

Settling the Score: Street Performance Measures--Sensitivity Analysis of multi-modal performance measures

  1. 1. Settling the Score: Sensitivity Analysis of multi- modal performance measures Madeline Brozen Pro Walk/Pro Bike 2014
  2. 2. Agenda •How is Level-of-Service used? •Measures available for moving towards MMLOS •Highlight my previous work •Improvement scenarios •Results •Conclusions
  3. 3. How is LOS used? •Assess current situations •Understand the affect of future development –Assess developer mitigation fees –Traffic impact analyses in environmental review •Understand differences between improvement scenarios
  4. 4. New measures in our analysis 1.BEQI/PEQI 2.City of Charlotte Urban Street Design Guidelines performance measures 3.Highway Capacity Manual 2010 Other similar measures •Level of Traffic Stress •Danish Bicycle Level of Service •City of Fort Collins multi-modal performance measures •Others?
  5. 5. Previous work •Selected 5 street segments in the City of Santa Monica •Compared the different measurement tools to each other •Places that ranked well, the scores were fairly in agreement •As the environment degraded, the scores disagreed more.
  6. 6. Current and Proposed Scenarios Intersection changes •Right turn on red restrictions •Leading pedestrian intervals •Perpendicular curb ramps •Bicycle boxes •Protected left turns •Bus bulb •Nose on median
  7. 7. Scenario cheat sheet Scenario Change 1 5-3 ‘road diet’ reconfiguration with 4’ painted buffers 2 Scenario 1 with physical barrier 3 Alternate ‘road diet’ 5-4 with 1 lane in one direction, 2 lanes in other direction. 4 Scenario 3 with bicycle lane between parking and sidewalk 5 Scenario 1 with raised median
  8. 8. BEQI/PEQI Results •Bicycle scores all increased from current scores •Bicycle scenarios had little variation from each other; nothing got to ideal category •Pedestrian improvement along link was minor •Ped. Intersection scores did not change
  9. 9. Charlotte Results •Both modes improved by the same amount for all scenarios •Intersection scores take all 4 intersections into consideration, improvements must be made to perpendicular approach •Does not distinguish between turn lanes and general lanes
  10. 10. HCM Results •Scenarios 1 and 2 were off the charts because both painted and physical barrier interpreted as additional bike lane width • Scenario 3 was least promising because added on-street parking (assumed at 75% occupancy) reduced the score •Pedestrian scores largely unchanged. •On-street parking addition was greatest benefit to pedestrians
  11. 11. Limitations across the board •No measure was able to score a cycle track •Measures could not distinguish between painted and physical buffer •Painted lane also not in any tool input •All tools are rather inflexible; while a spreadsheet tool is easier to manipulate than software
  12. 12. Conclusion and future direction •No tool conclusively helped to select “the best” improvement scenario •Across the three tools; scenario 3 (alternate road diet) appeared to be best, but through combination of analyses •Conflict between what improves pedestrian score vs. bicycle score •Each measure is mired in time they are created which may be problematic as toolbox continues to grow
  13. 13. For more information attend our webinar! Tuesday, September 16th, 12:00 PST. Thank you to research team: Herbie Huff Robin Liggett Tim Black Madeline Brozen