Thursday, August 30, 2018, 12:00PM (ET)

Motorcycle Safety Programs Using Public Health Approach

Florida is one of the most beautiful states in which to ride a motorcycle, but motorcyclists in Florida are disproportionately vulnerable road users. Motorcyclists accounted for nearly 17% of all traffic fatalities in Florida in 2016, even though motorcycles account for only 3% of registered vehicles in Florida. This session will describe how the public health approach has been applied to motorcycle safety by the Motorcycle Injury Prevention team at the USF Center for Urban Transportation Research. In particular, examples of motorcycle safety programs that have been developed and implemented using well known public health theories and models will be shared in the session. Download Handout

Presenter: Siwon Jang, Ph.D., Center for Urban Transportation Research

Dr. Siwon Jang has a strong commitment to empirical research and practice in injury prevention, including traffic injury prevention for vulnerable road users. Her areas of interest include theory-based behavior change and behavioral safety program development and evaluation. She has been involved in designing safety education materials for children, parents, and teachers, funded by Safe Kids Worldwide, and currently is working on behavioral safety program development and evaluation for motorcyclists in Florida, funded by the National Highway Traffic Safety Administration (NHTSA), and development of a Community-based Healthy Buddy Program for transportation-disadvantaged older adults, funded by the Center for Transportation, Environment and Community Health (CTECH). She has taught a variety of public health courses at the University of South Florida (USF) and serves as a journal reviewer for several academic journals. Dr. Jang holds a Ph.D. in Public Health from the USF College of Public Health and undergraduate and graduate degrees in Health Education.


Please take a few minutes to complete the evaluation.

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.