自民國91年臺灣開放大型重型機車進口以來，大型重型機車成為休閒遊憩活動的另一項選擇。事實上國內大型重型機車主要用途的確為休閒娛樂及旅遊，但根據內政部警政署統計大型重型機車違反道路交通管理舉發中，以超速違規為最嚴重，高速駕駛將會帶來較高的意外發生，平均而言大型重型機車每月造成18人死亡或傷害，因此大型重型機車屬於帶有危險的冒險性遊憩活動，個人參與冒險性遊憩與否取決於流暢體驗，而流暢體驗的發生與個人的技能及活動的挑戰有關，由於大型重型機車操控不易，駕駛經驗的增加將提升個人對大型重型機車的掌控度與技能，此外個人的駕駛經驗將會影響超速行為的發生。因此針對大型重型機車的超速行為，本研究除了透過計畫行為理論（Theory of Planned Behavior, TPB），更進一步結合流暢體驗（Flow）、刺激尋求與駕駛經驗，以便更有效、深入地瞭解大型重型機車的超速行為。
本研究有效樣本共277份，透過結構方程模式分析大型重型機車超速行為。研究結果發現知覺愉悅性與專注性將會影響超速行為態度及超速行為意圖；計畫行為理論中主觀規範及知覺行為控制對超速行為意圖與超速行為的影響則不顯著，顯示流暢體驗為影響大型重型機車超速行為之重要因素，即對大型重型機車騎士而言超速時其感受流暢體驗將會使他們忽略主觀規範、知覺行為控制之認知因素。此外不同的刺激尋求程度及駕駛經驗，趨使超速行為發生的因素將不同。

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.

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