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Abstract
This research examines how drivers conduct themselves at stop signs by looking at the effect of
different compositional variables (socio-demographic attributes) and ecological variables (physical
attributes that affect people’s behavior) on drivers’ decisions to make a complete stop, as required
by law. Observational study was designed to collect data at different parts of an urban area, and
the binary logit model is used for the analysis. The modeling results show that five variables (age
of the driver, number of passengers in the vehicle, presence of law enforcement officers within a
block radius, using headlights, and time of the day the trip took place) are statistically significant in
explaining relationships between those variables and the stopping behavior of drivers.