settling the score: street performance measures--sensitivity analysis of multi-modal performance...
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Settling the Score:
Sensitivity Analysis of multi-
modal performance measures
Madeline Brozen
Pro Walk/Pro Bike 2014
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Agenda
• How is Level-of-Service used?
• Measures available for moving
towards MMLOS
• Highlight my previous work
• Improvement scenarios
• Results
• Conclusions
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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
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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?
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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.
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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
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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
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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
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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
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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
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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
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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
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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
www.its.ucla.edu