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騎乘自行車之潛在風險分析

Analysis of Potential Risks for Bicyclist

摘要


本研究針對都會區自行車使用者之潛在風險進行分析,期望了解造成自行車使用者所感知主觀風險之情境為何,本研究透過羅序(Rasch)模式分析自行車騎主觀風險認知;另一方面,則是透過自行車事故之客觀歷史資料進行迴歸分析,建構潛在風險因素和意外事故死亡人數之邏輯斯迴歸分析模式,並比較自行車使用者主觀風險和客觀資料所呈現之風險差異。本研究並透過羅序模式之DIF檢測與ANOVA分析,依基本特性將自行車使用者分類,找出風險感知度低之族群,並與自行車事故死亡機率的邏輯斯迴歸模型比較分析,進而找出對於行車環境中的高危險因子,但自行車使用者風險感知度低之高風險族群,並期望利用工程、教育與執法不同層面之改善來減少主觀和客觀因素間的風險落差,以提供自行車使用者一個安全舒適的行車環境。

並列摘要


This study aims to investigate the potential risks for bicyclists. The Rasch model is used to measure bicyclists’ subjective perceived risk, and logistic regression is constructed to find contributor to the bicycle accidents casualty. Besides, we compare the Rasch and logistic model to discuss the gap between subjective and objective view of the potential risks. Our result also demonstrates some situations may be dangerous but cyclist did not aware of it which is high potential risk. Furthermore, we characterize bicyclist by DIF test and ANOVA shows that male and older bicyclist ride at night has a higher risk to casualty accident. The finding of this study can help government to build a more safety riding environment for bicyclists.

並列關鍵字

Bicycle Perceived risk Rasch model Logistic model

參考文獻


交通部運輸研究所,自行車使用狀況調查,民國99 年
交通部運輸研究所(2004)。腳踏車肇事特性分析及因應措施
Wang, Y.,Nihan, N. L.(2004).Estimating the Risk of Collisions between Bicycles and Motor Vehicles at Signalized Intersections.Accident Analysis & Prevention.36(3),313-321.
Anderson, S. A.,Sloss, G. S.(2002).Analysis of Traffic Collisions Involving Pedestrians and Bicycles During 2000 and 2001 in Louisville, Kentucky Bicycle and Pedestrian Coordinator Jefferson County Planning & Development Services.Proceedings of the 16th Biennial Symposium on Visibility and Simulation.(Proceedings of the 16th Biennial Symposium on Visibility and Simulation).
Summala, H.,Pasanen, E.,Räsänen, M.,Sievänen, J.(1996).Bicycle Accidents and Drivers' Visual Search at Left and Right Turns.Accident Analysis & Prevention.28(2),147-153.

被引用紀錄


徐婉庭(2017)。探討資訊系統持續使用模式-以線上模擬自行車訓練平台為例〔碩士論文,朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-2712201714442244

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