Combining flow experience, personality and theory of planned behavior to investigate speeding behavior of heavyweight motorcyclists

碩士 === 國立成功大學 === 交通管理學系碩博士班 === 97 === Heavyweight motorcycles have become one of the most popular leisure activities since Taiwan joined World Trade Organization in year 2000. According to Statistics of Ministry of Transportation and Communications, the main purpose in adopting heavyweight motorcy...

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Bibliographic Details
Main Authors: Cheng-wen Chen, 陳正紋
Other Authors: Ching-fu Chen
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/68103352093300911680
Description
Summary:碩士 === 國立成功大學 === 交通管理學系碩博士班 === 97 === Heavyweight motorcycles have become one of the most popular leisure activities since Taiwan joined World Trade Organization in year 2000. According to Statistics of Ministry of Transportation and Communications, the main purpose in adopting heavyweight motorcycle in Taiwan is for leisure and entertainment. However, National Police Agency, Ministry of the Interior (NPA) reported that over-speed is considered to be the most servere among all violations. According to estimations of the NPA, average of 18 deaths per month or lots of injured occurred heavyweight motorcycle, thus, heavyweight motorcycle is one of the high-risk activities of outdoor recreations. An individual behavior of participating in high-risk recreations depends on one's Flow experience. Flow experience occurs whenever one's skill and challenge are in balance or overcome. As experience increased, the rider can gain more controllability on riding heavyweight motorcycle and his or her speeding behavior can also be expected. For all the reasons aforementioned, this study combines Flow experience, sensation seeking, driving experience and Theory of Planned Behavior (TPB) to discover speeding behavior of heavyweight motorcycles. Twenty hundred and seventy-seven riders of heavyweight motorcycle were recruited to participate in the study from a convenience sample, and SEM was applied to analyze speeding behavior of heavyweight motorcycles. The study demonstrates the validity of the Flow experience to predict self-reported speeding behavior of heavyweight motorcycle.