本研究旨在檢視與探討臺灣現行鐵路道岔之養護標準，並借鏡歐洲（特別是英國 Network Rail, NR）的規範理念，為臺灣 1067mm 軌距系統提出具體的改善建議。道岔作為引導列車轉換軌道的關鍵結構，因其幾何形狀的不連續性，列車通過岔心時會產生極大的高頻動態衝擊，導致道床發生局部塑性變形與差異性沉陷，進而引發軌道幾何不整與衝擊力增加的惡性循環。
透過系統性比較臺歐規範發現，臺灣現行的《1067mm軌距軌道養護檢查規範》偏向被動式維修，多以絕對的靜態檢測數值作為緊急抽換門檻，缺乏與行車速度連動的明確修復時限及預防性降速機制。相反地，英國 NR 規範將軌道缺陷依風險嚴重程度分級，強制結合行車速度制定修復時限（如13、26、52週）與臨時限速（Temporary Speed Restriction, TSR）機制，強調動態監測以彌補靜態人工檢查。
結合臺鐵高雄工務段的實地養護數據（如 109A、202號道岔）與第一線人員訪談，本研究證實轉轍區與岔心轉移區為幾何劣化的高風險熱點。實務上，基層人員高度仰賴人工砸道或墊片調整等手段，極端偏差往往容易反覆發生；此外，現有紙本工作日誌缺乏精確的定位與數位化追蹤，難以將重複性的保養紀錄轉化為治本的工程決策。
基於上述發現，本研究建議臺灣鐵路規範應引入時限分級管理與降速配套，發展狀態維修（Condition Based Maintenance），並配發第一線人員動態量測儀器。同時，應優化檢修數據管理系統，建立重複維修熱點的工程自動介入機制，從根本提升道岔養護的安全與效率。

This study aims to improve Taiwan's 1067 mm railway switch and crossing (S&C) maintenance standards by adopting the risk-based philosophies of the UK's Network Rail (NR). S&C geometric discontinuities inherently induce dynamic impacts and differential settlement, causing a vicious cycle of track degradation. A comparative analysis reveals that Taiwan's standards are predominantly reactive, relying on static thresholds. In contrast, NR classifies defects by risk severity, mandating speed-linked repair timescales, Temporary Speed Restrictions (TSR), and dynamic monitoring.
Field data from the TRA Kaohsiung Public Works Segment (e.g., Turnouts No. 109A and 202) and frontline interviews confirm that the switch and crossing panels are high-risk degradation hotspots. Currently, reliance on surface-level remedies (e.g., manual tamping) and imprecise paper-based logs hinders root-cause engineering solutions, leading to recurring defects.
Consequently, this study recommends transitioning to a Condition-Based Maintenance (CBM) model. Key proposals include introducing hierarchical repair timescales, TSR mechanisms, and dynamic measurement tools. Additionally, optimizing data management to trigger automated root-cause engineering interventions—such as drainage improvements or PC sleeper replacements—at recurring hotspots will fundamentally enhance S&C safety and maintenance efficiency.

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