| 研究生: |
陳乃郡 Chen, Nai-Chun |
|---|---|
| 論文名稱: |
日常行為與駕駛安全之關聯性研究-以台南市高齡者為例 The Correlation between the Everyday Behavior and Driving Safety - A Case Study of the Tainan Elderly Drivers |
| 指導教授: |
魏健宏
Wei, Chien-Hung |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 交通管理科學系 Department of Transportation and Communication Management Science |
| 論文出版年: | 2013 |
| 畢業學年度: | 101 |
| 語文別: | 中文 |
| 論文頁數: | 136 |
| 中文關鍵詞: | 高齡駕駛者 、交通事故 、家庭成員 、日常行為問卷 |
| 外文關鍵詞: | elderly drivers, traffic accidents, family members, Everyday Behavior Questionnaire |
| 相關次數: | 點閱:126 下載:31 |
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隨著台灣社會高齡化程度逐漸加深,高齡駕駛者將日益增加,所衍生的交通安全問題將更顯重要。台灣地區交通事故致死案件中,每四人有一人是高齡者,而台南市交通事故致死案件中每三到四人就有一人為高齡者,其中又以高齡駕駛者為最應優先探討之高危險族群。為了提升安全駕駛的品質,以降低高齡駕駛者交通事故的發生可能,先前研究多針對交通安全事故影響因子或駕駛行為進行探討,且將焦點放在高齡駕駛者。對此,本研究不同於以往,將以高齡駕駛者之「家庭成員」作為研究探討的切入點。主要原因為,高齡駕駛者是否停止駕駛應和家庭成員有密切關連性,且透過家庭成員對高齡駕駛者之正面影響力,將是未來政府持續推動高齡者交通事故防制的新契機。本研究透過台南市老人福利團體為媒介,發放日常行為問卷(Everyday Behavior Questionnaire)給台南市高齡駕駛者之家庭成員填寫,最後共回收407份有效問卷,並以相關統計驗證方法得到假設驗證成立之結果。
基於此等資料,本研究進一步建立「台南市高齡者日常行為問卷」和問卷總得分對照表,該問卷有兩個單元分別為潛在交通事故次數與潛在受傷程度,其中影響交通事故次數之因素依重要性由高至低排序為:認知、聽力、反應與視力因素;而影響受傷程度之因素由高至低重要性排序為:認知、反應與聽力因素。本研究建立之日常行為問卷,可引導家庭成員與家中高齡駕駛者一同正視高齡者安全駕駛的重要性,研究結果將提供給有關單位在發展交通政策時作參考。
According to the related statistical data, elderly population is expending in our country. Driving safety of the elderly has become an important issue to discuss. Elderly people proportion of Taiwan traffic accident death is about 26.3%; Tainan is about 33.6% higher than Taiwan average. Among elderly drivers should be given to explore, because they are the high-risk groups. To improve elderly people traffic safety environment, previous studies are aimed at factors of traffic fatality and driver behavior, usually focus on elderly drivers themselves. Therefore, unlike previous studies, this study’s questionnaire answered by elderly drivers’ family members. First, because when or whether elderly drivers stop driving is concerning not only to the drivers themselves but also to their family members. Second, government needs to enhance force in elderly traffic accident prevention. In this study, we will use an elderly drivers’ Everyday Behavior Questionnaire (EBQ), and answered by elderly drivers’ family members. The total effective sample size for this study is 407, we use many statistical methods, and our hypotheses are established.
Because our hypotheses are established, we create two chapters in the Tainan Everyday Behavior Questionnaire and scoring tables for the questionnaire. The main objectives of this study are established the Tainan Everyday Behavior Questionnaire, and confirm family members are important when promoting elderly traffic accident prevention.
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