隨著經濟發展與生活便利性的提升，公路運輸需求持續增加，提供安全可靠的道路服務品質，被視為民生基本要求。省道公路作為臺灣各市區鄉鎮間重要之交通連結，總長度超過五千公里，其道路層級僅次於高速公路，道路服務品質的提升、服務水準的被重視、及滿意度的受評，亦成為公部門施政參考重點。在有限度的契約經費預算下，如何研擬適當的養護策略成為路網維護管理亟為重要課題。
本研究建立並整合「鋪面績效指標決策模式」和「鋪面養護排序決策模式」兩種模式，提供一套適用於省道之養護策略。以台2線北海岸公路為例，收集每100公尺為單位之鋪面資料，並將養護策略分為兩個階段進行。
第一階段運用K-means集群分析法，針對平坦度(IRI)、裂縫率及車轍深度進行評級，將鋪面單元分為三級養護路段，並由分析結果得知裂縫率是影響決策之關鍵指標；第二階段則基於專家訪談結果計算各指標之養護權重，依據坑洞數量、鋪面損壞、平坦度等指標之權重進行養護排序，並據此決定養護優先順序。兩階段養護策略不僅提升決策的客觀性和可靠性，亦可將養護經費分配資源最大化。
建立適用於省道兩階段養護管理策略後，將進一步探討導入成效式契約於省道公路鋪面養護路網維護契約管理中的可行性，訂定對應之成效指標及管理方式，以符合省道公路路網養護策略之決策成果，提升整體養護管理效率及永續性。
為了提升管理效能，本研究建立一套省道公路鋪面管理系統，將上述兩階段之養護策略納入系統，並整合了相關的公路資料進行公路鋪面資產管理，此系統不僅可提供省道之養護決策，未來若導入省道公路鋪面養護路網維護成效式契約管理，廠商也可利用此系統進行契約管理，確保資源利用之最大化。
最後本研究將養護策略及鋪面管理系統應用於台2線之560個鋪面單元，並於現場進行實際驗證，由其結果可知本研究所建立之養護管理方式能有效評級各路段狀況，並根據優先順序進行資源分配，確保養護作業之客觀性及合理性。

As economic development and the convenience of daily life continue to improve, the demand for road transportation has steadily increased. Providing safe and reliable road service quality is regarded as a fundamental public need. Provincial highways, serving as key transportation links between cities and towns across Taiwan, span over 5,000 kilometers. Their road hierarchy is second only to expressways. Therefore, improving road service quality, placing emphasis on service standards, and assessing public satisfaction have become critical points of reference for government policy-making. Given the limited budget for maintenance contracts, developing appropriate maintenance strategies has become a pressing issue in road network management.
This study establishes and integrates two models—the "Pavement Performance Indicator Decision Model" and the "Pavement Maintenance Priority Decision Model"—to provide a maintenance strategy applicable to provincial highways. Using the North Coast Highway (Provincial Highway No. 2) as a case study, pavement data were collected at 100-meter intervals, and the maintenance strategy was implemented in two phases.
In the first phase, the K-means clustering method was employed to assess smoothness (International Roughness Index, IRI), crack rate, and rut depth, grading the pavement segments into three maintenance levels. The analysis revealed that the crack rate is the key indicator influencing decision-making. In the second phase, maintenance weights for each indicator were calculated based on expert interviews, and a maintenance priority ranking was determined according to the weights assigned to indicators such as the number of potholes, pavement distress, and smoothness. This two-phase maintenance strategy not only enhances the objectivity and reliability of the decision-making process but also maximizes the allocation of maintenance funding.
After establishing this two-phase maintenance management strategy for provincial highways, further exploration will be conducted into the feasibility of introducing performance-based contracts (PBC) into the contract management of the provincial highway pavement maintenance network. Corresponding performance indicators and management methods will be developed to align with the decision-making outcomes of the provincial highway maintenance strategy, ultimately improving overall management efficiency and sustainability.
To enhance management efficiency, this study developed a provincial highway pavement management system that incorporates the aforementioned two-phase maintenance strategy. This system integrates relevant road data for pavement asset management and not only provides decision-making support for provincial highway maintenance but also, when performance-based contracts are introduced, allows contractors to use the system for contract management, ensuring the optimal use of resources.
Finally, this study applied the maintenance strategy and pavement management system to 560 pavement segments along the North Coast Highway (Provincial Highway No. 2) and conducted on-site verifications. The results demonstrate that the maintenance management approach established in this study effectively evaluates the condition of each road section and allocates resources based on priority, ensuring the objectivity and rationality of maintenance operations.

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