Low-income groups, some racial/ethnic groups, people with disabilities, seniors, and rural communities are at higher risk of being injured or killed while walking and biking. Information on the safety needs of these communities is limited.
To help increase safety and to improve the street environment for road users, SafeTREC is developing Street Story, an online platform that allows residents to report transportation safety issues in their communities.
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.
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.
A strategic highway safety plan (SHSP) is a comprehensive, statewide, data-driven safety plan that coordinates activities across agencies to reduce traffic fatalities and serious injuries on all public roads. In 2015, California updated its SHSP with the input of hundreds of stakeholders. To implement a multiyear effort that involves many primary actors, the challenge is to track decisions and progress in an efficient manner as well as to have in place a state safety program that is accountable and transparent to its stakeholders.
In this paper, the non-motorized traffic safety concerns in and around three university campuses are evaluated by comparing police-reported crash data with traffic safety information sourced from the campus communities themselves. The crowdsourced traffic safety data comprise of both self-reported crashes as well as perceived hazardous locations. The results of the crash data analysis reveal that police-reported crashes underrepresent non-motorized safety concerns in and around the campus regions.
Objective: Addressing drinking and driving remains a challenge in the United States. The present study aims to provide feedback on driving under the influence (DUI) in California by assessing whether drinking and driving behavior is associated with the DUI arrest rates in the city in which the driver lives; whether this is due to perceptions that one can get arrested for this behavior; and whether this differed by those drivers who would be most affected by deterrence efforts (those most likely to drink outside the home).
Objective: To estimate the effectiveness of booster seats and of seatbelts in reducing the risk of child death during traffic collisions and to examine possible effect modification by various collision and vehicle characteristics.
Methods: A matched cohort study was conducted using data from the Fatality Analysis Reporting System. Death risk ratios were estimated with conditional Poisson regression, bootstrapped coefficient standard errors, and multiply imputed missing values using chained equations.
