依據內政部「提升道路品質計畫(內政部)2.0」，對於提升道路品質的方式，主要工作分為工程面4 大主軸，分為人本環境、綠色交通、生態路網、智慧建設，雖然有執行項目、執行重點及評估原則對上述4 大主軸的改善目的進行相關交代，但均為定性指標，執行單位及地方政府在評估相關主軸上缺少量化指標，以致無法在爭取相關預算時，將地方需求重點及當前政策目標取得適當平衡做妥適規劃，中央對於計畫之審核缺乏客觀量化依據，且對完工後之成效評估亦無衡量標準，本計畫訂定出各面向之量化指標，使各單位有可依據的客觀指標。
本研究加上設計規畫階段的各項評分指標，將完成之指標運用於前瞻計畫規劃設計階段提案依據，以及完工後道路工程品質優劣評分判定，待案件量增加後，本KPI系統亦能作為優良廠商之評判，可依各指標達成績效，例如設計、材料選用、施工、以及完工後之維護，作為廠商選用標準。
除了將前瞻計畫指標量化之外，並將量化結果搭配藉由問卷結果所得之權重加入指標量化得出完整評分方式，該評分方式亦導入資訊管理平台，即可將各工程得分紀錄於平台上，以備後續工程上之所需。

According to the Ministry of the Interior's “Road Quality Improvement Program 2.0,” the primary strategies for enhancing road quality are divided into four engineering-focused pillars: human-centered environments, green transportation, ecological road networks, and smart infrastructure. Although implementation items, key tasks, and assessment principles have been proposed to support improvements in these areas, the current indicators are mostly qualitative. Executing agencies and local governments lack quantitative indicators for evaluating these key areas. This leads to difficulty in balancing local needs with current policy objectives during budget allocation, and the central government lacks objective, quantifiable criteria for both project approval and post-completion performance evaluation. This project establishes quantifiable indicators across multiple dimensions to provide objective references for each unit.
This study also incorporates evaluation indicators during the planning and design stage, enabling the use of completed indicators as a basis for project proposals under the Forward-looking Program and as criteria for assessing road construction quality after completion. Once more project data is available, the KPI system can also serve as a standard for evaluating excellent contractors. Contractors can be assessed based on their performance in areas such as design, material selection, construction, and post-completion maintenance.
In addition to quantifying the indicators for the Forward-looking Program, the quantified results are combined with weighting derived from questionnaire outcomes to produce a comprehensive scoring method. This method is also integrated into an information management platform, allowing each project’s score to be recorded and used as a reference for future engineering needs.

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