Pedestrian and Bicycle Volumes

Community Pedestrian and Bicycle Safety Program (CPBSP) releases first annual report for 2023

June 28, 2024

The Community Pedestrian and Bicycle Safety Program (CPBSP), created in collaboration with UC Berkeley SafeTREC and California Walks, has released its first annual report for the 2023 calendar year. CPBSP works with communities at disproportionate risk for road traffic injuries to address the safety needs of people...

Pedestrian Count Expansion Methods: Bridging the Gap between Land Use Groups and Empirical Clusters

April 16, 2019
New Paper Published by SafeTREC Researcher Aditya Medury

SafeTREC postdoctural researcher Aditya Medury has co-authored a newly published paper, "Pedestrian Count Expansion Methods: Bridging the Gap between Land Use Groups and Empirical Clusters" with researchers Julia B. Griswold, Louis Huang and Offer Grembek in the Transportation Research Record: Journal of the Transportation Research Board.

Count expansion methods are a useful tool for creating long-term pedestrian or cyclist volume estimates from short-term counts for safety analysis or planning purposes. Expansion factors can...

Pedestrian Count Expansion Methods: Bridging the Gap between Land Use Groups and Empirical Clusters

Medury, Aditya
Griswold, Julia B.
Huang, Louis
Grembek, Offer
2019

Count expansion methods are a useful tool for creating long-term pedestrian or cyclist volume estimates from short-term counts for safety analysis or planning purposes. Expansion factors can be developed based on the trends from automated counters set up for long periods of time. Evidence has shown that the activity patterns can vary between sites so that there is potential to create more accurate estimates by grouping similar long-term count trends into factor groups. There are two common approaches to developing factor groups in pedestrian and cyclist count expansion studies. The land...

A Pedestrian Exposure Model for the California State Highway System

Griswold, Julia B.
Medury, Aditya
Schneider, Robert J.
Amos, Dave
Li, Ang
Grembek, Offer
2019

For this study, we developed one of the first statewide pedestrian exposure models, using log-linear regression to estimate annual pedestrian crossing volumes at intersections on the California State Highway System. We compiled a database of more than 1,200 count locations, one of the largest ever used to create a pedestrian volume mode. We initially evaluated 75 explanatory variables for the model. The final model is based on the three land-use variables (employment density, population density, number of schools), four roadway network variables (number of street segments, intersections...

New Publication: A Pedestrian Exposure Model for the California State Highway System

April 10, 2019
New Paper Published by SafeTREC Researcher Julia Griswold

SafeTREC researcher Julia B. Griswold has co-authored a newly published paper, "A Pedestrian Exposure Model for the California State Highway System" with researchers Aditya Medury, Robert J. Schneider, Dave Amos, Ang Li and Offer Grembek in the Transportation Research Record: Journal of the Transportation Research Board.

This paper describes the process to develop one of the first statewide pedestrian exposure models, using log-linear regression to estimate annual pedestrian crossing volumes at intersections on the California...

New Publication: Comparison of Pedestrian Count Expansion Methods

September 11, 2018
NEW PAPER PUBLISHED BY SAFETREC RESEARCHER JULIA GRISWOLD

SafeTREC researcher Julia B. Griswold has co-authored a newly published paper, "Comparison of Pedestrian Count Expansion Methods: Land Use Groups versus Empirical Clusters" with researchers Aditya Medury, Robert J. Schneider and Offer Grembek in the Transportation Research Record: Journal of the Transportation Research Board.

This paper compares two approaches to developing factor groups for hour-to-week pedestrian count expansion factors. The land use (LU) classification approach assumes that surrounding LUs...

Comparison of Pedestrian Count Expansion Methods: Land Use Groups versus Empirical Clusters

Griswold, Julia B.
Medury, Aditya
Schneider, Robert J.
Grembek, Offer
2018

Expansion factors based on the trends in long-term count data are useful tools for estimating daily, weekly, or annual volumes from short-term counts, but it is unclear how to differentiate locations by activity pattern. This paper compares two approaches to developing factor groups for hour-to-week pedestrian count expansion factors. The land use (LU) classification approach assumes that surrounding LUs affect the pedestrian activity at a location, and it is easy to apply to short-term count locations based on identifiable attributes of the site. The empirical clustering (EC) approach...

Guidebook on Pedestrian and Bicycle Volume Data Collection

Ryus, Paul
Ferguson, Erin
Laustsen, Kelly M.
Schneider, Robert J.
Proulx, Frank R.
Hull, Tony
Miranda-Moreno, Luis
2014

NCHRP Report 797: Guidebook on Pedestrian and Bicycle Volume Data Collection is directed to practitioners involved in collecting non-motorized count data. The Guidebook (1) describes methods and technologies for counting pedestrians and bicyclists, (2) offers guidance on developing a non-motorized count program, (3) gives suggestions on selecting appropriate counting methods and technologies, and (4) provides examples of how organizations have used non-motorized count data to better fulfill their missions. The research behind the Guidebook can be found on the TRB website as NCHRP Web-Only...

Pilot Models for Estimating Bicycle Intersection Volumes

Griswold, Julia B.
Medury, Aditya
Schneider, Robert J.
2011

Bicycle volume data are useful to practitioners and researchers to understand safety, travel behavior, and development impacts. This paper describes the methodology used to develop several simple models of bicycle intersection volumes in Alameda County, California. The models are based on two-hour bicycle counts performed at a sample of 81 intersections in the Spring of 2008 and 2009. Study sites represented areas with a wide range of population density, employment density, proximity to commercial property, neighborhood income, and street network characteristics. The explanatory variables...

Space Syntax: The Role of Urban Form in Cyclist Route Choice in Central London

Raford, Noah
Chiaradia, Alain
Gil, Jorge
2007

This paper presents a new method for forecasting cyclist volume and route choice based on space syntax techniques for urban analysis. Space syntax has been shown to correlate strongly with pedestrian and vehicular trips in a number of international studies, but little research to date has focused on the role of urban form and street network design in cyclist route choice. This paper addresses this gap by analyzing the distribution of cycling trips in the central London area, focusing on a sample of work-based commuting trips. A sample of 423 cyclists from 50 organizations was combined with...