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自行車活動參與者休閒涉入與休閒效益之研究

A Study of Cyclists' Leisure Involvement and Leisure Benefits

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摘要


本研究旨在探討屏東縣自行車道自行車活動參與者休閒涉入與休閒效益之關係。採用問卷調查法,以自編之「自行車活動參與者行為涉入量表、社會心理涉入量表與休閒效益量表」為研究工具,針對屏東蘭花蕨鐵馬道之自行車騎乘者為研究對象,共發出問卷數450份,有效問卷數424份。使用SPSS For Windows 12.0版統計軟體進行資料分析,以因素分析、描述性統計、卡方檢定、單因子多變量變異數分析及Pearson積差相關進行考驗與分析,得到以下結論:一、自行車參與者基本資料分析:以男性、已婚、30-39、軍公教、大學學歷、30,001-50,000元最多及騎乘同伴與家人或朋友/同事/同學者居多。二、自行車參與者休閒涉入及休閒效益現況分析:在行為涉入方面,自行車活動參與者以參與年資1-2、每月1-2次、騎乘時間以1-2小時、相關裝備花費方面以5,000元以及未加入車隊或自組社團居多。在社會心理涉入部分,自行車活動參與者其認同度最高為「吸引性」,其次為「自我表現」,最低為「中心性」。在休閒效益部分,自行車活動參與者其認同度最高為「生理效益」,其次為「社交效益」,最低為「心理效益」。三、不同性別、年齡、婚姻狀況、教育程度、職業及個人月收入在行為涉入之部分構面達顯著差異;而在不同騎乘同伴在行為涉入之各構面則皆達顯著差異。四、不同行為涉入程度在休閒效益各構面的差異分析:在不同參與年資、參與頻率、參與時間、裝備花費與是否加入社團之自行車活動參與者在休閒效益全部達顯著差異。

並列摘要


The purpose of this study was to research the relationship between leisure involvement and leisure benefits of cyclists on Pingtung Orchid Fern Bicycle Lane. This study adopted questionnaire survey. The participants were the cyclists on Pingtung Orchid Fern Bicycle Lane. 450 questionnaires were sent out and there were 424 valid questionnaires. The collected data were analyzed through SPSS 12.0 for Windows with item analysis, reliability analysis, descriptive statistics, chi-square test, one-way MANOVA, and Pearson Product-moment Correlation. The findings are as followed: 1. The background variables of cyclist analysis: male, married, 30-39 years old, public servants, college degree, monthly income $30001-50000, riding companies with family, friends, colleagues, and classmates were most.2. Behavior involvement: 1-2 years, 1-2 times per month, riding time 1-2 hours, equipment expenditure mostly is under $5000, didn't join club were most. As for the social psychological involvement: the approval of three construction surface in turn is ”attraction”, ”self-expression”, and ”centrality”. As for the leisure benefits, the approval of three construction surface in turn is ”physical benefits”, ”social benefits”, and ”psychological benefits”.3. Different background variables of leisure involvement: All background variables had remarkable differences in behavior involvement, such as sex, age, education level, monthly income, and riding company.4. Different items of behavior involvement had remarkable differences in leisure benefits, such as participation period, participation frequency, participation time, equipment expenditure, and participation of club.5. The leisure involvement and leisure benefits are positively-related.

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