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Applying the Rasch Model to Measure Motorcyclists' Behavior Intention of Red Light Running
This study was conducted to develop an approach to measuring motorcyclists' behavior intention of red-light running and exploring its affecting factors. Ten different traveling and traffic situations which may cause motorcyclists running red light are collected as the items of scale to measure motorcyclists' behavior intention of red-light running. The Rasch model, which can convert the original ordinal data into the scores on an interval scale, is used to disclose the information behind the original ordinal scores collected from 490 motorcyclists by face-to-face interviews in Hsinchu city. The study results show that "No body around me in the night", "When I am in a hurry," and "Through a narrow intersection" are the three traveling situations which are most likely to cause motorcyclists running red light. The young, unmarried, and college educated motorcyclists are found to have higher intention to run red light, and those motorcyclists having no kids or having experience in riding a motorcycle without a license are also found to have higher tendency for red-light running. Some strategies are finally suggested to reduce motorcyclists' behavior of red-light running.
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