Help improve safety in your community! Share stories on Street Story of where you've been in a crash or near miss, or where you feel safe or unsafe traveling.
We are proud to announce that SafeTREC researchers and staff co-authored a study for the March 2019 Journal of Transport and Health titled, “How effective are community pedestrian safety training workshops? Short-term findings from a program in California”.
Last week, during the California-wide PedsCount! Summit, we launched Street Story, SafeTREC’s new community engagement platform that allows residents, community groups and agencies to collect information about transportation collisions, near-misses, general hazards and safe locations to travel. In essence, the platform invites users to enter stories about travel experiences.
Crash data is readily available and accessible for public use through government information databases. Crash data typically entails vehicle-related injuries and fatalities that were reported to police authorities. But what about unreported incidents--incidents that only require exchange of contact and insurance information, incidents that may not involve an injury or injuries that might not have been reported?
Low-income groups, people with disabilities, seniors, and communities of color are at higher risk of being injured while walking and biking. Information on the safety needs of these groups is also limited.
Bicycle level of service (LOS) measures are essential tools for transportation agencies to monitor and prioritize improvements to infrastructure for cyclists. While it is apparent that different types of cyclists have varying preferences for the facilities on which they ride, in current research and practice, measures are used that are either insufficiently quantitative and empirical or lack cyclist segmentation.
This methodological report describes survey research and data collection methods employed for the second Observational Survey of Cell Phone and Texting Use among California Drivers study conducted in 2012. This study was conducted by Ewald & Wasserman Research Consultants (E&W) on behalf of the California Office of Traffic Safety and the Safe Transportation Research and Education Center at University of California at Berkeley.
To compare the risk of fatal injury across helmet types among collision-involved motorcyclists.
METHODS:
We used data from a cohort of motorcyclists involved in police-reported traffic collisions. Eighty-four law enforcement agencies in California collected detailed information on helmet and rider characteristics during collision investigations in June 2012 through July 2013. Multiply-adjusted risk ratios were estimated with log-binomial regression.
