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Abraham, D (2011) Development of a true-cost concept for renewal of municipal underground pipeline systems, Unpublished PhD Thesis, , The University of Texas at Arlington.

Adepu, N (2023) Analysis of the impact of COVID-19 on construction cost and schedule overruns, Unpublished PhD Thesis, , The University of Texas at Arlington.

Florius, N A (2021) Decision tool for prioritizing bridge repair or replacement, Unpublished PhD Thesis, , The University of Texas at Arlington.

  • Type: Thesis
  • Keywords: highway; replacement; funding; rehabilitation; safety; regression analysis; analytic hierarchy process; bridge
  • ISBN/ISSN:
  • URL: https://www.proquest.com/docview/2640038666
  • Abstract:
    Bridges are typically damaged/deteriorated due to various factors that require close evaluation to make informed decisions about repair/replacement. There are several aspects of study to evaluate bridges for repair/replacement, such as age, structural adequacy, and frequent usage. Further, bridges which are in poor condition must be identified to mitigate their damage/deterioration and as a result, maintain a safe environment for users. Therefore, to assess the need for funding, state Departments of Transportation are required to evaluate bridges by considering several factors, while prioritizing safety. In Texas, the Highway Bridge Program is responsible for funding bridges which are listed for repair/replacement. This is typically decided through their sufficiency rating system. However, the existing sufficiency rating method utilizes a complex formula which lacks some key details. This method can be improved by incorporating additional factors that could potentially result in a better and more efficient methodology. Consequently, the purpose of this study is to develop a decision tool for bridge repair/replacement, that incorporates factors such as condition, cost, risk, ease of repair/replacement, age, importance, public use, and geometry. Some factors contain sub-elements which were evaluated and weighted according to importance. To pursue this, methods such as regression analysis, decision matrices and the analytic hierarchy process were used. The decision tool will be executed on an interactive Excel-based platform. Excel Visual Basic macro functions will be used to create a user-friendly platform. The proposed tool shall be useful in making objective and data-driven decisions for local bridge maintenance, rehabilitation, and replacement.

Kim, S (2023) Disaster management and recovery: Estimating the disaster impacts on construction costs and evaluating the policy effects on disaster recovery, Unpublished PhD Thesis, , The University of Texas at Arlington.