The UC Berkeley Safe Transportation Research and Education Center (SafeTREC) has released the California Traffic Safety Survey 2024. The study was led by Ewald & Wasserman Research Consultants (E&W) and conducted on behalf of the California Office of Traffic Safety (OTS) and SafeTREC.
The California Traffic Safety Survey has been conducted annually since 2010 to gain a better understanding of a range of traffic safety behaviors, and to help inform traffic safety programs and public education campaigns. This year’s survey was conducted with an online panel of California...
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...
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...
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 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 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...
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...
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...
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...
