Using Rasch Modeling to Explore the Motorcyclist's Behavioral Intention in Red-light Running

Abstract

An advisable 'evidence-based' strategy to reduce the red-light running should be built upon higher priorities of the driver's behavioral intention to run the red light under the common situations without the public controversies in the future. The purpose of this study is to use Rasch modeling with objective measurement to explore the priorities of the motorcyclist's behavioral intention in red-light running under the common situations. The results indicated that the participants reported higher levels of motorcyclist's behavioral intention in red-light running when there is nobody at night time, they are in a hurry, and they pass by not much heavy intersections; on the other hand, they reported lower levels of motorcyclist's behavioral intention in red-light running when there are passengers in the vehicle, and it is raining. In addition to red light cameras, this study provided traffic safety experts with objective evidence of other possible strategies to reduce the red-light running under the common situations from the behavioral science and Rasch modeling perspective.