應用Rasch模式量測機車騎士之闖紅燈行為意向

Applying the Rasch Model to Measure Motorcyclists' Behavior Intention of Red Light Running

本研究建立足以誘發闖紅燈之交通情境發展衡量機車騎士闖紅燈行為意向之量表，並研究其影響因素，共用十項不同騎乘或交通狀況量測機車騎士之闖紅燈行為意向。借助Rasch模式能夠轉換「原始順序尺度得分資料」成「具等距尺度得分」之優勢進行量測。本研究利用新竹地區490位機車騎士之量測資料進行實證研究，其結果顯示「夜間無人時」、「趕時間」、「通過小路口時」是激發機車騎士闖紅燈較為主要之因素。本研究並發現年輕、未婚、無兒女、自己居住在外、大專以上學歷、具無照駕駛機車經驗之機車騎士均具有顯著較高之闖紅燈行為意向。本研究最後更根據研究結果提出減少機車騎士闖紅燈行為之對策與建議。

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.