Data collection

The California Speeding and Aggressive Driving Study 2019

September 24, 2019
SUBMITTED BY LISA PETERSON

UC Berkeley SafeTREC is excited to release the California Speeding and Aggressive Driving Study 2019 led by Ewald & Wasserman Research Consultants (E&W). This study was conducted on behalf of the California Highway Patrol (CHP) and the Safe Transportation Research and Education Center (SafeTREC) at the University of California, Berkeley.

The 2019 Survey

The Speeding and Aggressive Driving Study 2019 report describes the analysis results of the second wave of a statewide California Public Opinion Survey on driver perceptions on speeding and aggressive driving on California...

New Research Brief: Community Trainings at Work

September 22, 2019
SUBMITTED BY LISA PETERSON

The Community Pedestrian Bicycle Safety Training (CPBST) program trains and mobilizes communities to address pedestrian and bicycle safety and strengthens collaboration with local officials and agency staff. This research brief summarizes an evaluation of the CPBST program completed in 2018. Read the full research brief.

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Community Trainings at Work: An Evaluation of Community Pedestrian and Bicycle Safety Trainings

Beck, Kate M.
2019

The Community Pedestrian Bicycle Safety Training (CPBST) program trains and mobilizes communities to address pedestrian and bicycle safety and strengthens collaboration with local officials and agency staff. This research brief summarizes an evaluation of the CPBST program completed in 2018.

Why Don't Women Cycle? A Case Study of Women's Perceptions of Cycling in San Francisco

Funaki, Dorry
2019

Safety and women’s perceptions of safety is a prevalent factor affecting the gender gap of cycling within the US. In this study, the use of bike lanes in the South of Market Area of San Francisco found that only 29% of the cyclists were female despite accounting for 50% of the population in the area. This research brief summarizes key issues found in this study of women’s perceptions of safety when cycling.

Investigating the underreporting of pedestrian and bicycle crashes in and around university campuses - a crowdsourcing approach

Medury, Aditya
Grembek, Offer
Loukaitou-Sideris, Anastasia
Shafizadeh, Kevan
2017

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. The spatial distribution of police-reported crashes shows that police-reported crashes are...

Evaluating Research on Data Linkage to Assess Underreporting of Pedestrian and Bicyclist Injury in Police Crash Data

Doggett, Sarah
Ragland, David R.
Felschundneff, Grace
2018

Traffic safety decisions are based predominantly on information from police collision reports. However, a number of studies suggest that such reports tend to underrepresent bicycle and pedestrian collisions. Underreporting could lead to inaccurate evaluation of crash rates and may under- or overestimate the effects of road safety countermeasures. This review examined ten studies that used data linkage to explore potential underreporting of pedestrian and/or bicyclist injury in police collision reports. Due to variations in definitions of reporting level, periods of study, and study...

Emergency Medical Services (EMS) and the California EMS Information System (CEMSIS) Working Paper

Doggett, Sarah
Ragland, David R.
Felschundneff, Grace
2019

This study examines data from the California EMS Information System (CEMSIS) to identify factors that influence prehospital time for EMS events related to motor vehicle collisions (MVCs). While only 19 percent of the United States population resides in rural areas, over half of all traffic fatalities involve rural motor vehicle collisions. Rural and urban MVCs result in similar injury severities, however relative inaccessibility of trauma centers and prehospital EMS time (activation, response, and transport time) likely contribute to the generally higher mortality rate in rural areas...

New Publication: How effective are community pedestrian safety training workshops?

January 29, 2019
by Ali von Klan

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”. The paper, written by Jesus Barajas, Kate Beck, Jill Cooper, Ana Lopez and Amanda Reynosa, assesses the efficacy of SafeTREC’s Community Pedestrian Bicycle Safety Training (CPBST) program using a process and outcome...

Street Story Pilot

June 22, 2018
Submitted by Frances Fu

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? As a way to understand perceptions and experiences of safety in communities, UC Berkeley SafeTREC is developing an online data tool that allows people to self-report...

Street Story: Mapping Transportation Safety Issues

December 27, 2017
SUBMITTED BY LISA PETERSON

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.

To address these challenges, a team from SafeTREC is creating Street Story, an online platform that will allow the public to report transportation safety issues in their community. Residents will be able to enter various types of information, such as photos, voice recordings, near-misses and perceptions of dangerous areas for walking and bicycling. This will...