01587793

Component

https://doi.org/10.3141/2586-14

Automated computer vision video analysis techniques were used to analyze video data during the operation of New York City’s Summer Streets Program at a major signalized intersection. The main objectives of this study were to diagnose pedestrian and cyclist safety issues during the shared space operation and to demonstrate the feasibility of the automatic extraction of road user data (e.g., pedestrian, runner, rollerblader, or cyclist) required for microscopic behavior analysis. Road users’ speeds and pedestrian gait parameters (step frequency and step length) were automatically extracted and analyzed. Results show that pedestrian walking speed was highest during the Summer Streets operation (1.49 ± 0.54 m/s) because pedestrians had more street space to use and slowest during normal operations (1.30 ± 0.22 m/s). Bike speeds were low during the Summer Streets event (3.62 ± 0.97 m/s), likely because of interaction with pedestrians, but these speeds increased during normal traffic operations. Pedestrians and cyclists moving in groups tended to be slower and confirmed results found in previous studies. The safety analysis was conducted with traffic conflict techniques. It was observed that the lowest rate of conflicts between pedestrians and cyclists and between cyclists was found to be during Summer Streets operations. In addition, an analysis of spatial violations showed that some road users were not observing traffic rules in the transition period after Summer Streets ceased to operate.

01595162

16-3394

English

pp 120–130

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441322

Print

Figures (7) ; Photos; References (42) ; Tables (5)

Behavior; Computer vision; Cyclists; Pedestrians; Safety; Signalized intersections; Traffic conflicts; Travelers; Urban design

Summer Streets (New York City)

New York (New York)

Highways; Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors

PRP, TRIS, TRB, ATRI

Jan 12 2016 5:29PM

• Adaptive Walk Intervals
• Countdown Pedestrian Signals With and Without the Flashing Hand: Field Study
• Effect of Distractions on a Pedestrian’s Waiting Behavior at Traffic Signals: Observational Study
• Effectiveness of Changes in Street Layout and Design for Reducing Barriers to Walking
• Facility-Demand Models of Peak Period Pedestrian and Bicycle Traffic: Comparison of Fully Specified and Reduced-Form Models
• How Far Is Too Far? Providing Safe and Comfortable Walking Environments
• Multiobjective Evaluation of Midblock Crosswalks on Urban Streets Based on TOPSIS and Entropy Methods
• Panic That Spreads Sociobehavioral Contagion in Pedestrian Evacuations
• Pedestrian Crosswalk Safety at Nonsignalized Crossings During Nighttime: Use of Thermal Video Data and Surrogate Safety Measures
• Pedestrian Gap Acceptance Behavior in Street Designs with Elements of Shared Space
• Road User Behaviors at Pedestrian Hybrid Beacons
• Road, Traffic, and Human Factors of Pedestrian Crossing Behavior: Integrated Choice and Latent Variables Models
• Variables Influencing Efficacy of Gateway In-Street Sign Configuration on Yielding at Crosswalks