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研究生: 陳威名
Chen, Wei-ming
論文名稱: 影響國道長途客運駕駛疲勞之可預防因素
Preventable Factors Affecting The Long-Haul Highway Coach Drivers’ Fatigue
指導教授: 林佐鼎
Lin, Tzuoo-ding
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: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 113
中文關鍵詞: 輪班工作睡眠剝奪駕駛疲勞
外文關鍵詞: Shift Work, Sleep Deprivation, Driving Fatigue
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  • 人為因素經常被認為是多數道路肇事主因之一,但現行制度對規範人為肇事因素中僅有酒駕取締較具成效。台灣的國道客運肇事主因多指向人為因素,而先進國家在排除人為因素肇事的努力除了酒駕外,普遍朝規範駕駛疲勞為優先方向。國道大客車肇事,不僅危害到乘客的安全,也威脅到其他行駛在國道的車輛。本研究對客運駕駛員進行問卷調查,探索誘發駕駛疲勞的因素,以排序普羅比模型建立駕駛疲勞模式,檢驗疲勞因素與駕駛疲勞間的關係。研究發現客運駕駛疲勞的主要誘發因素有:凌晨排班、違反睡眠習慣、班次間小睡不足、駕駛前一日睡眠不足、是否採取提神措施、座椅不適等。

    Human factors are considered as one common cause of crash incidents; however, the current Taiwanese regulations about human factors induced crashes include only preventing anti-alcoholic driving. Some advanced countries try to avoid fatigue-related crashes by requesting proper driving fatigue management, but no similar measure was taken in Taiwan to reduced incidents which can be attributed to driving fatigue. The coach crash incidents on highway threat not only the passengers but also other drivers and vehicles. This study tries to explore some preventable fatigue inducing factors through a survey to the commercial drivers. After examining these factors with an ordered probit model, the result of this study is to confirm some significant factors as followed: departing between midnight and daybreak, violating sleep habits, insufficient nap during two trips, partial sleep deprivation, refreshing countermeasures, and uncomfortable seats.

    表目錄 IV 圖目錄 VII 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 5 1.3 研究範圍 5 1.4 研究限制 6 1.4.1 研究架構限制 6 1.4.2 研究方法限制 6 1.4.3 模式運用上之限制 7 1.5 研究流程 7 第二章 文獻回顧 9 2.1 國道客運安全 9 2.1.1 大客車之安全性 9 2.1.2 客運駕駛管理之相關文獻 10 2.1.3 國道客運肇事紀錄 12 2.2 駕駛疲勞 18 2.2.1 超時工作 21 2.2.2 輪班工作與睡眠擾亂 23 2.2.3 長途客運駕駛工作特質 25 2.3 睡眠因素 26 2.3.1 駕駛員的睡眠需求 26 2.3.2 睡眠不足之影響 27 2.3.3 生理時鐘之影響 30 2.4 分析方法相關文獻 33 2.4.1 排序性機率方法(Ordered Probability Method) 33 2.4.2 排序普羅比模型(Ordered Probit Model) 35 第三章 研究方法 37 3.1 研究架構 37 3.2 研究假設 37 3.3 操作性變數定義與衡量 40 3.3.1 駕駛疲勞 40 3.3.2 個人特性 41 3.3.3 體重過重 41 3.3.4 睡眠習慣 42 3.3.5 駕駛環境 43 3.3.6 凌晨排班 43 3.3.7 提神措施 44 3.3.8 小睡不足 44 3.3.9 睡眠不足 44 3.4 研究設計 45 3.4.1 調查方法 45 3.4.2 問卷設計 46 3.4.3 問卷內容 46 3.4.4 問卷修正 47 3.5 分析方法 48 3.5.1 敘述性統計 48 3.5.2 信度分析 48 3.5.3 t檢定 48 3.5.4 排序性普羅比模式 49 第四章 資料分析與結果 54 4.1 問卷調查與回收 54 4.1.1 問卷調查 54 4.1.2 問卷回收 54 4.2 敘述性統計分析 55 4.2.1 駕駛員基本資料 55 4.2.2 變數之敘述性統計 56 4.3 信度分析 59 第五章 實證疲勞模式之建構 60 5.1 單一變數排序性普羅比模式 60 5.2 多變數排序性普羅比模式建構之步驟 66 5.3 第一階段模式建構 68 5.4 第二階段模式建構 70 5.4.1 t檢定 70 5.4.2 第二階段模式建構 71 5.5 第三階段模式建構 72 5.5.1 凌晨排班 72 5.5.2 小睡不足 73 5.5.3 睡眠不足 74 5.5.4 疲勞模式 77 5.5.5 模式預測準確率 79 5.6 重新定義疲勞程度後完整的模式建構過程 81 5.6.1 單變數模式 81 5.6.2 多變數模式-第一階段 87 5.6.3 多變數模式-第二階段 88 5.6.4 多變數模式-第三階段 89 第六章 結論與建議 96 6.1 結論 96 6.2 建議 97 表目錄 表1.1 國道肇事件數各類車種所佔比率 2 表1.2 國道各車種每百萬輛次肇事件數 3 表2.1 尊龍客運近年國道肇事紀錄 12 表2.2 阿羅哈客運近年國道肇事紀錄 13 表2.3 國光客運近年國道肇事紀錄 13 表2.4 建明客運(飛狗巴士)近年國道肇事紀錄 14 表2.5 統聯客運近年國道肇事紀錄 15 表2.6 和欣客運近年國道肇事紀錄 16 表2.7 其他客運公司國道肇事紀錄 16 表2.8 遊覽車近年於國道肇事紀錄 17 表2.9 睡眠剝奪的臨床症狀 30 表2.10 文獻回顧相關變數整理 32 表2.10 文獻回顧相關變數整理(續) 33 表3.1 成人之BMI值與體重分級標準 42 表3.2 調查方法優缺點比較表 45 表4.1 駕駛員基本資料之敘述性統計分析表 55 表4.1 駕駛員基本資料之敘述性統計分析表(續) 56 表4.2-1 駕駛疲勞變數之敘述性統計表 56 表4.2-2 個人特性變數之敘述性統計表 57 表4.2-3 睡眠相關變數之敘述性統計表 58 表4.2-4 駕駛環境之敘述性統計表 59 表4.3 駕駛環境之信度分析 59 表5.1 年齡(AGE)之模式 60 表5.2 是否過重(BMIDUM)之模式 60 表5.3 睡眠時延後時間(CADT)之模式 61 表5.4 座椅不舒服(STCODE2)之模式 61 表5.5 車內震動(VICODE2)之模式 61 表5.6 車內噪音(NINCODE2)之模式 62 表5.7 任一班次凌晨排班(SCH3D)之模式 62 表5.8 第一班次凌晨排班(SCH1D)之模式 62 表5.9 第二班次凌晨排班(SCH2D)之模式 63 表5.10 開車前飲用提神飲料(COF1)之模式 63 表5.11 開車中飲用提神飲料(COF2)之模式 63 表5.12 小睡時間(TPS)之模式 64 表5.13 小睡不足5小時(TPSCODE2)之模式 64 表5.14 前一夜(日)睡眠時間(EXSP)之模式 64 表5.15 睡眠不足7小時(EXSP_7D)之模式 65 表5.16 睡眠少於平常時數(LACK)之模式 65 表5.17 顯著單一變數彙整之模式 68 表5.17-1 駕駛環境之相關性 69 表5.18 第一階段之模式-模式1 69 表5.19 年齡以40歲分組(AGE40)之t檢定表 70 表5.20 開車中飲用提神飲料(COF2)之t檢定表 71 表5.21 不同凌晨排班變數之模式2-1、2-2、2-3 72 表5.22 不同休息不足變數之模式3-1、3-2 73 表5.23 不同睡眠不足變數之模式4-1、4-2、4-3 74 表5.24 模式4-2完整統計量值 77 表5.25 模式4-2預測結果分配表 79 表5.26 重新定義疲勞程度後之疲勞模式(模式5-1) 80 表5.27 模式5-1的預測結果分配表 80 表5.28 年齡(AGE)之模式 81 表5.29 是否過重(BMIDUM)之模式 82 表5.30 睡眠時延後時間(CADT)之模式 82 表5.31 座椅不舒服(STCODE2)之模式 82 表5.32 車內震動(VICODE2)之模式 83 表5.33 車內噪音(NINCODE2)之模式 83 表5.34 任一班次凌晨排班(SCH3D)之模式 83 表5.35 第一班次凌晨排班(SCH1D)之模式 84 表5.36 第二班次凌晨排班(SCH2D)之模式 84 表5.37 開車前飲用提神飲料(COF1)之模式 84 表5.38 開車中飲用提神飲料(COF2)之模式 85 表5.39 小睡時間(TPS)之模式 85 表5.40 小睡不足5小時(TPSCODE2)之模式 85 表5.41 前一夜(日)睡眠時間(EXSP)之模式 86 表5.42 睡眠不足7小時(EXSP_7D)之模式 86 表5.43 睡眠少於平常時數(LACK)之模式 86 表5.44-1 顯著單一變數彙整之模式 87 表5.44-2 第一階段結果(模式6-2) 88 表5.45 車內噪音(NINCODE2)之t檢定表 88 表5.46 車內震動(VICODE2)之t檢定表 89 表5.47 不同年齡變數之模式6-3A、6-3B 89 表5.48 體重過重之模式(模式6-4) 90 表5.49 引用提神飲料之模式6-5A、6-5B 91 表5.50 小睡不足之模式6-6A、6-6B 91 表5.51 不同睡眠不足變數之模式6-7A、6-7B、6-7C 92 表5.52 重新定義疲勞程度與完整篩選過程之疲勞模式(模式6-7B) 94 表5.53 模式6-7B的預測結果分配表 94 表5.54 模式5-1與模式6-7B的比較 95 圖目錄 圖1.1 高速公路各車種每百萬輛次肇事件數 3 圖1.2 研究流程圖 8 圖3.1 研究架構圖 37 圖3.2 方案選擇機率與效用門檻值 52 圖3.3 解釋變數變動對方案選擇機率的影響 53 圖5.1 多變數模型建構之流程圖 67 圖5.2 各階段檢驗變數之架構圖 76 圖5.3 研究假設驗證 78 圖5.4 重新定義疲勞程度後檢驗變數之架構圖 93

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