01515756

Component

https://doi.org/10.3141/2468-10

Metropolitan planning organizations and other planning agencies increasingly are asked to evaluate proposed bicycle facilities and to select the most promising facilities for funding. The objective was to develop models of utilitarian and recreational bicycling and to implement these models in a unified geographic information system–based framework that the Los Angeles County, California, Metropolitan Transportation Authority could use for planning purposes. Statistical models that evaluate bicycling to work and bicycling for recreation were estimated and implemented in the framework. A logistic regression model was used to estimate bicycle-to-work mode share at the level of census tracts or traffic analysis zones. Furthermore, a pair of disaggregate models was estimated to evaluate bicycle trips made for recreation. The bicycle-to-work model estimation generated parameter estimates that were consistent with previous literature and added to the literature by demonstrating the importance of well-connected and accessible bicycle networks for utilitarian bicycling. The recreational models provide a new way to estimate the impacts of bicycle facilities on leisure or fitness-based bicycle trips. Like the work trip model, the recreational bicycling models show the importance of proximity to trails and the impact of distance as a barrier to reaching the nearest trails on the decision to bicycle for recreation.

01557587

14-3904

English

pp 84–91

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295659

Print

Figures (1) ; Maps; References (39) ; Tables (4)

Bicycle commuting; Bicycle facilities; Bicycling; Land use planning; Logistic regression analysis; Modal split; Recreational trips; Work trips

Los Angeles County (California)

Pedestrians and Bicyclists; Planning and Forecasting; Safety and Human Factors; Terminals and Facilities; I72: Traffic and Transport Planning

PRP, TRIS, TRB, ATRI

Jan 27 2014 3:21PM

• Bicyclists as Consumers: Mode Choice and Spending Behavior in Downtown Davis, California
• Characterizing Usage Patterns for Powered Two-Wheelers from Automatic Vehicle Identification Data in Melbourne, Australia
• Computer Vision Techniques to Collect Helmet-Wearing Data on Cyclists
• Cost–Benefit Analysis of Added Cycling Facilities
• Day-of-Year Scaling Factors and Design Considerations for Nonmotorized Traffic Monitoring Programs
• Disaggregate-Level Assessment of Changes to Michigan’s Motorcycle Helmet Use Law: Effects on Motorcyclist Injury Outcomes
• Dispersion Effect in Left-Turning Bicycle Traffic and Its Influence on Capacity of Left-Turning Vehicles at Signalized Intersections
• Electric Bikes in North America: Results of an Online Survey
• Evaluation of Interactions Between Buses and Bicycles at Stops
• Identifying the Leaders: Applying Diffusion of Innovation Theory to Use of a Public Bikeshare System in Vancouver, Canada
• Incorporating Weather: Comparative Analysis of Annual Average Daily Bicyclist Traffic Estimation Methods
• Measuring Traffic Reduction from Bicycle Commuting
• Multimodal Commuting to Work by Public Transport and Bicycle: Attitudes Toward Mode Choice
• Red Light Running Behavior of Electric Bicycles at Signalized Intersections in China
• StreetSeen Visual Survey Tool for Determining Factors That Make a Street Attractive for Bicycling