機車因結構與設計上之特性,致機車使用者身體暴露於外,使得機車用者成為機動車輛最脆弱的族群,因此機車傷亡事故常佔校園意外安全或職業災害統計的半數。 本研究主要在探討長榮大學的學生騎機車的行為,希望研究的結果可以做為後續的改善措施或騎車安全教育設計的參考。第一階段研究以長榮大學的學生為研究對象,以問卷調查的方式探討影響大學生騎車行為的主要因素。問卷內容分為八個面向,分別為:號誌違規、騎快車習慣、轉彎等行為;第二階段同樣以問卷調查方式,保留部分第一階段之騎機車的不安全行為調查題目(40題)外,另探討不同的行為,在計畫行為理論所能解釋的程度差異(26題)。第二階段研究所專注的行為有喝酒、酒後騎車、抽菸、闖紅燈與超速。 第一階段研究針對職安系、企管系、醫管系和護理系學生進行調查,共發放700份問卷,回收652份,回收率為93.14%。第二階段以職安系與企管系大一學生為主,發放190份問卷,回收190份,回收率為100.0%。研究使用SPSS 12.0 for windows進行因素分析、Pearson積差相關、獨立樣本t檢定、徑路分析。 第一階段結果顯示,號誌遵守、騎快車習慣與騎車經驗和收到罰單存在顯著相關,但轉彎行為、騎車時安全態度則是與發生車禍有顯著相關。第二階段顯示計畫行為理論幾乎可以完全地解釋喝酒、酒後騎車;但僅可解釋部分的抽菸、闖紅燈與超速行為。
The characteristic design and structure of motorcycles expose motorcycle rider without any protection to accidents. Motorcycle riders become the most vulnerable group in the road. Thus, motorcycle accidents often account for half of statistics in the campus or workplace. The study is aimed to explore the patterns of at-risk riding behaviors. The results hopefully could be applied to enhance safety measures or to improve the education materials for the motorcycle rider. In the first phase of study, the subjects are the students from Chang Jung Christian University. A questionnaire survey was used to explore the main factors which influence the riding behaviors of university students, including eight dimensions, such as traffic light compliance, speeding habits, making turns behaviors, etc. As to the second phase of study, in addition to the retaining 40 questions from the first phase, another 26 questions were added to explore how much Theory of Planned Behavior could explain regarding different types of behaviors. It focused on the behaviors, like drinking, drunk riding, smoking, running red light and speeding. The subjects of the first phase of study are the students from Department of Occupational Safety and Health, Department of Business Administration, Department of Health Care Administration and Department of Nursing. A total of 700 questionnaires were distributed. 652 of them were recovered and the recovery rate was 93.14%. Regarding the second phase, the participants were mainly the freshmen from Department of Occupational Safety and Health and Department of Business Administration. 162 of 190 distributed questionnaires were recovered and the recovery rate was 85.52%. This study used the SPSS 12.0 for windows to analyze the data. The following statistical methods are conducted, namely, Factor Analysis, t- test, Pearson Correlation and Path Analysis The finding of the first research phase indicates that traffic light compliance and speeding habits are significantly correlated to riding experience and receiving a fine ticket; however, behaviors of making turns and attitude toward riding safety significantly relate to accidents. The result of the second phase shows that Theory of Planned Behavior can almost completely explain drinking, drunk riding; but only partly explain smoking, running red light and speeding.