01363736

Component

https://doi.org/10.3141/2299-08

http://scholar.google.com...hler&publication_year=2012

The process used to develop the San Francisco, California, pedestrian volume model refined the methodology used for previous intersection-based models and incorporated locally significant variables to estimate walking activity in the local urban context. The methodology included two main steps. First, manual and automated pedestrian counts were taken at a sample of 50 study intersections with a variety of characteristics. A series of factor adjustments was applied to produce an annual pedestrian crossing estimate for each intersection. Second, log-linear regression modeling was used to identify statistically significant relationships between the annual pedestrian volume estimate and land use, transportation system, local environment, and socioeconomic characteristics near each intersection. Twelve alternative models were considered, and the preferred model had a good overall fit (adjusted R² = 0.804). As identified in other communities, pedestrian volumes were positively associated with the number of households and the number of jobs near each intersection. Uniquely, this San Francisco model also found significantly higher pedestrian volumes at intersections in high-activity zones with metered on-street parking, in areas with fewer hills, near university campuses, and controlled by traffic signals. The model was based on a relatively small sample of intersections, so the number of significant factors was limited to six. Results are being used by public agencies in San Francisco to better understand pedestrian crossing risk and to inform citywide pedestrian safety policy and investment.

01457870

12-4224

English

pp 65–78

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309223386

Print

Figures; Maps; References; Tables

Data collection; Intersections; Mathematical models; Pedestrian counts; Pedestrian safety; Walking

Pedestrian volume

San Francisco (California)

Highways; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

PRP, TRIS, TRB, ATRI

Feb 8 2012 5:22PM

• Analysis of Pedestrian Exposure to Risk in Relation to Crossing Behavior
• Analysis of Pedestrian Travel with Static Bluetooth Sensors
• Automated Collection of Pedestrian Data Through Computer Vision Techniques
• Bicycle and Pedestrian Studies Based on Data from National Household Travel Survey
• Dedicated Short-Range Communication System for Pedestrians and Vehicles During Right Turns
• Developing Standard Pedestrian-Equivalent Factors: Passenger Car–Equivalent Approach for Dealing with Pedestrian Diversity
• Documenting Targeted Behaviors Associated with Pedestrian Safety
• Evaluating Effectiveness of Infrastructure-Based Countermeasures for Pedestrian Safety
• How Common Is Pedestrian Travel to, from, and Within Shopping Districts?
• Measuring Nonmotorized Accessibility and Connectivity in a Robust Pedestrian Network
• Nature of Modeling Boundary Pedestrian Crashes at Zones
• Pedestrian Safety at Intersections Under Control of Permissive Left-Turn Signal
• Pedestrian Safety at Slip Lanes and Alternative Turn Lane Treatments
• Perception of Pedestrian Traffic Signals by Pedestrians with Varying Levels of Vision
• Safer Midblock Environments for Pedestrian and Bicycle Crossings: Experiment with Zigzag Pavement Markings
• Simple, Inexpensive Approach to Sampling for Pedestrian and Bicycle Surveys: Approach Developed in Pedestrian and Bicycling Survey
• To Go or Not To Go: Pedestrian Behavior at Intersections with Standard Pedestrian Call Buttons
• Using Free and Proprietary Data to Compare Shortest-Path Lengths for Effective Pedestrian Routing in Street Networks