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Abstract
A better understanding of attitudes and behavioral principles underlying driving behavior and
traffi c safety issues can contribute to design and policy solutions, such as speed limits and seat belt
legislation. This work examines the Motor Vehicle Occupant Safety Surveys (MVOSS) dataset to
illuminate drivers’ seatbelt use, driving speed choices, drinking-and-driving tendencies, along with
their attitudes towards speed limits and seat belt laws. Ordered probit, negative binomial, and linear
regression models were used for the data analysis, and several interesting results emerged. The
number and variety of results feasible with this single dataset are instructive as well as intriguing.