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| 題 名 | 國際自行車科學的回顧與展望=A Review and Prospects of International Cycling Science Research |
|---|---|
| 作 者 | 相子元; 周黎恩; 李尹鑫; 陳穎厚; | 書刊名 | 運動表現期刊 |
| 卷 期 | 12:S1 2025.06[民114.06] |
| 頁 次 | 頁129-140 |
| 專 輯 | 特刊:自行車運動表現 |
| 分類號 | 528.9012 |
| 關鍵詞 | 研究趨勢; 運動表現; 生理學; 生物力學; Research trends; Athletic performance; Physiology; Biomechanics; |
| 語 文 | 中文(Chinese) |
| DOI | 10.53106/2409965120250612S1001 |
| 中文摘要 | 本文回顧了2021至2023年間國際運動科學期刊(收錄於SCI.資料庫Sport Sciences領域之期刊)與自行車科學期刊(Journal of Science and Cycling)中的自行車研究,並將議題分為九大領域,包括生物力學、生理學、心理學、管理學、空氣動力學、設備與運動科技、訓練、競賽和營養學。結果顯示,運動科學期刊中自行車運動相關研究以運動表現為主軸,主要圍繞在如何提升各種的運動表現,而自行車科學期刊則強調應用性,更多探討單車量身設定與穿戴裝置在自行車領域中的應用。兩種不同類型期刊的差異反映出基礎研究與應用研究的不同,運動科學期刊重視生理機轉與運動表現的提升,自行車科學期刊則面向教練與愛好者,關注實際騎乘與設備創新,未來可聚焦於跨學科研究,整合生理學與生物力學等,並跟隨科技進步潮流,應用人工智慧,填補現有研究的空白,為理論與實務發展提供參考方向。 |
| 英文摘要 | This study reviews cycling-related research published between 2021 and 2023 in international sports science journals (Web of Science Core Collection) and the Journal of Science and Cycling (JSC). The topics were categorized into nine domains: biomechanics, physiology, psychology, management, aerodynamics, equipment and sports technology, training, competition, and nutrition. The results reveal that cycling-related studies in sports science journals predominantly focus on athletic performance, particularly in the areas of physiology and biomechanics, with an emphasis on strategies for enhancing various aspects of performance. The JSC. emphasizes practical applications, focusing on topics such as bike fitting and the integration of wearable devices in cycling. The differences between these two types of journals highlight the distinction between basic and applied research. Sports science journals prioritize understanding physiological mechanisms and enhancing athletic performance, whereas JSC caters to coaches and enthusiasts, focusing on real-world cycling experiences and equipment innovation. Future research could adopt interdisciplinary approaches by integrating physiology, biomechanics, and other related domains while leveraging technological advancements such as artificial intelligence. This approach would help bridge existing research gaps and provide valuable insights for both theoretical exploration and practical applications in cycling science. |
本系統中英文摘要資訊取自各篇刊載內容。