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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65934

    Title: 道路環境和車輛因素對自行車騎乘行為影響之研究;The Impact of Road Environment and Vehicle on the Riding Behavior of Bikers
    Authors: 莊凱翔;Chuang,Kai-hsiang
    Contributors: 機械工程學系
    Keywords: 自行車騎士;行為觀察;自然騎乘行為;Bicyclist;Behavior observation;Naturalistic riding
    Date: 2014-07-18
    Issue Date: 2014-10-15 17:18:30 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 世界衛生組織調查全球75%國家的交通事故情形發現,各國交通事故中有自行車騎士死亡的比例約占總事故死亡人數的2至19%,自行車騎士於騎乘環境中所面對的道路風險已成為阻礙提升人民騎乘自行車使用率來達到節能減碳的最大原因之一。因此,了解自行車騎士騎乘時之風險因素來降低事故發生的比例成為很重要的研究課題。
    ;World Health Organization data have indicated that in 75% of countries worldwide, bicyclists accounted for 2–19% of crash deaths. This crash risk may hamper efforts to increase bicycle usage and take advantage of its low carbon emissions. Therefore, understanding the risks associated with bicyclists′ use of roads will likely reduce crashes and may facilitate the use of bicycles.
    This research fitted the sensor and device inclouding one global positioning system, 3-axis accelerometer, two ultrasonic distance sensors, eight proximity switches, one variable resistor, and five car camera DVR black boxes into an urban-style bicycle. Then, Using this bicycle to collect 40 bicyclists′ riding behavior data. In order to observe the valuable data from the great amount of row data, we established the data processing method to reduce the data and filter out the worthless data.
    Throught the data reduction method to find the valuable data, we investigated vehicle-related factors, road-related factors, and bicyclist-related factors influenced motorists′ decisions about initial passing distances and bicyclists′ behaviors after the motorists started to pass. We found that many facotrs including road factor, bicylists′ gender difference and passing vehicles affected the motorists′ initial passing distance. The present study demonstrated that the quasi-naturalistic riding method is capable of collecting rich data concerning bicyclists′ behaviors, which could potentially be utilized in various types of studies. 
    Appears in Collections:[機械工程研究所] 博碩士論文

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