01473446

Component

https://doi.org/10.3141/2339-08

http://scholar.google.com...oulx&publication_year=2013

This study used a unique database of long-term bicycle counts from 38 locations in five North American cities and along the Route Verte in Quebec, Canada, to analyze bicycle ridership patterns. The cities in the study were Montreal, Quebec; Ottawa, Ontario; and Vancouver, British Columbia, in Canada and Portland, Oregon, and San Francisco, California, in the United States. Count data showed that the bicycle volume patterns at each location could be classified as utilitarian, mixed utilitarian, mixed recreational, and recreational. Study locations classified by these categories were found to have consistent hourly and weekly traffic patterns across cities, despite considerable differences between the cities in their weather, size, and urban form. Seasonal patterns across the four categories and in the cities also were identified. Expansion factors for each classification are presented by hour and day of the week. Monthly expansion factors are presented for each city. Finally, traffic volume characteristics are presented for comparison purposes.

01516644

13-3007

English

pp 68–79

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309287098

Print

Figures (7) ; References (22) ; Tables (6)

Bicycle counts; Bicycle travel; Bicycles; Ridership; Traffic volume; Travel patterns

Montreal (Canada); Ottawa (Canada); Portland (Oregon); San Francisco (California); Vancouver (Canada)

Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

PRP, TRIS, TRB, ATRI

Feb 5 2013 12:37PM

• Correlation-Based Clustering of Traffic Data for the Mechanistic–Empirical Pavement Design Guide
• Estimating Annual Average Daily Bicyclists: Error and Accuracy
• Evaluation of Axle-Based and Length-Based Vehicle Classification Stations
• Generating Site-Specific Axle Load Factors for the Mechanistic–Empirical Pavement Design Guide
• Hybrid Approach for Clustering Vehicle Classification Data to Support Regional Implementation of the Mechanistic–Empirical Pavement Design Guide
• Impact of Various Trucks on Pavement Design and Analysis: Mechanistic–Empirical Pavement Design Guide Sensitivity Study with Truck Weight Data
• Length-Based Vehicle Classification Schemes and Length Bin Boundaries
• Locating Traffic Sensors on a Highway Network: Models and Algorithms
• Quality Counts for Pedestrians and Bicyclists: Quality Assurance Procedures for Nonmotorized Traffic Count Data
• Sensor Performance in Measuring Vehicle Length
• Tablet-Based Traffic Counting Application Designed to Minimize Human Error
• Toward a Flexible System for Pedestrian Data Collection with a Microsoft Kinect Motion-Sensing Device
• Use of Reduction-Effectiveness Ratios to Evaluate Reduced Traffic Data Collection Plans