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Iowa pavement asset management decision-making framework.

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English


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  • Abstract:
    Most local agencies in Iowa currently make their pavement treatment decisions based on their limited experience due primarily to ; lack of a systematic decision-making framework and a decision-aid tool. The lack of objective condition assessment data of ; agency pavements also contributes to this problem. ; This study developed a systematic pavement treatment selection framework for local agencies to assist them in selecting the most ; appropriate treatment and to help justify their maintenance and rehabilitation decisions. The framework is based on an extensive ; literature review of the various pavement treatment techniques in terms of their technical applicability and limitations, ; meaningful practices of neighboring states, and the results of a survey of local agencies. The treatment selection framework ; involves three different steps: pavement condition assessment, selection of technically feasible treatments using decision trees, ; and selection of the most appropriate treatment considering the return-on-investment (ROI) and other non-economic factors. ; An Excel-based spreadsheet tool that automates the treatment selection framework was also developed, along with a standalone ; user guide for the tool. The Pavement Treatment Selection Tool (PTST) for Local Agencies allows users to enter the severity and ; extent levels of existing distresses and then, recommends a set of technically feasible treatments. The tool also evaluates the ROI ; of each feasible treatment and, if necessary, it can also evaluate the non-economic value of each treatment option to help ; determine the most appropriate treatment for the pavement. ; It is expected that the framework and tool will help local agencies improve their pavement asset management practices ; significantly and make better economic and defensible decisions on pavement treatment selection.
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    PDF
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    Filetype[PDF - 1.75 MB]
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    urn:sha-512:930f7299bf061199a8150b5164e6edd4416b332ec19cc3d010d63fb615569e34b0117360e0d40f6ebd206a9bc5c94236a7713f49929d772f052b41c4c5b84a87
File Language:
English
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