01468546

Component

https://doi.org/10.3141/2299-03

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

Many transportation planners undertake local surveys for a better understanding of the levels of walking and cycling of residents in their city or town. This paper explores the challenges of designing a robust sampling strategy for such surveys. A review of existing surveys on nonmotorized transportation demonstrated that many existing surveys used less than ideal sampling approaches for communities that were aiming to collect populationwide data on cycling and walking and thereby jeopardized the strength of their conclusions. Either surveys used approaches that were too expensive and complex for most communities to implement or surveys generated data that were not applicable to all residents in a community (i.e., data that were not generalizable to the full population). In response to that sampling problem, this paper presents a new method for collecting generalizable data: the sampling method developed in the Pedestrian and Bicycling Survey (PABS) project. PABS offers a rigorous, yet inexpensive, simple, and well-documented method to conduct surveys. The PABS mail-out–mail-back survey and probabilistic (generalizable) sampling approach can be performed in-house within municipal agencies. With the use of PABS, transportation professionals can obtain higher-quality data about their community as a whole than they would obtain with many of the other existing approaches. PABS is thus a useful complement to other sampling approaches such as intercept surveys (an important way to collect data on the use of specific facilities) or surveys distributed to e-mail lists (a cheap and useful way to collect qualitative data).

01457870

12-1851

English

0000-0003-2328-0263

pp 22-30

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309223386

Print

Figures; References; Tables

Bicycling; Pedestrians; Statistical sampling; Surveys

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

TRIS, TRB, ATRI

Jan 4 2013 1:17PM

• 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
• Development and Application of a Pedestrian Volume Model in San Francisco, California
• 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
• 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