近年永續工程持續發展，永續評估系統亦被提出，各種評估指標也隨之建立，然而評估指標之重要性目前尚無簡明評估方法判斷。
本研究提出以投入-產出-成果模式的永續指標評估方法，以美國綠道路評估系統(Greenroads)及指標為對象，分階段分析指標內容，檢討指標分配之分數或權重。
首先分類永續指標，主要在環境、經濟、社會三面向歸類指標之分佈。Greenroads的指標可分為文書、環境衝擊、效益、社會四類，依各類別特性說明指標的作用。然後將永續指標全生命週期分為投入、產出、成果三階段。每一階段各包含4個分項，投入階段含有規劃設計、措施執行、材料使用、機具設備；產出階段包含報告書、設施（副產品）、碳排放、廢棄物（其他）；成果階段有減少資源使用、減少生態影響、增加經濟效益、增加社會效益。
最後將綠道路指標依三階段評分。於投入階段的成本與困難兩類中，各別依照對應的分項由易至難給予1至3分，而產出階段因包含正面與負面兩類，對應各項的評分範圍由-2分至3分，成果階段皆屬正面評分，分別給予1至3分。
將依模式對指標的評分結果比較Greenroads之指標分數，總體相關係數為0.501，中度相關。環境衝擊與社會類指標二者權重差異小，文書與效益類指標權重差異較大。評估結果可對應Greenroads指標權重，以不同分類下比較相關性與差異原因，檢視權重分配。

More and more sustainability evaluation systems and indicators have been proposed with the development of sustainable development. However, there is no method to evaluate the importance and effect brought by the implementation of the indicators. This study established an Input-Output-Outcome Model for evaluating the importance of sustainable indicators. With the established model, sustainability indicators can be evaluated systematically.
In the model, the inputs, outputs, and outcomes were taken into consideration for individual indicators. The input stage includes the efforts, costs, resources devoted to achieve indicator requirements. The output stage refers to the products, byproducts, wastes, and emissions produced right after the indicator requirements are fulfilled. The outcome stage refers to the influences, benefits, impacts caused by the implementation of the sustainable initiatives or indicators.
There are 4 work items or effects in each stage, and 12 in total. The inputs, outputs, and outcomes of the indicators are evaluated according to the 12 items and the corresponding scores given. The sum of the scores in the items represents the weight of an indicator. With this model, the comparison between the original and evaluated weights can be done for a sustainable rating system.
In this study, the Greenroads rating system was evaluated by using this model. The results showed that, in Greenroads system, the indicators of Material and Design categories have the highest correlation between the original weights and evaluated results. On the other hand, the indicators of Access and Livebility have the lowest correlation, which means that the weights of the indicators might not be reasonable.

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