Prioritization of highway maintenance functions using multi-attribute decision making with fuzzy pairwise comparison.

Details

• Creators:
  Liu, Wenxing ; Zhang, Zhanmin
• Corporate Creators:
  University of Texas at Austin. Center for Transportation Research
• Corporate Contributors:
  Southwest Region University Transportation Center (U.S.) ; Texas
• Subject/TRT Terms:
  Decision Making Decision Support Systems Highway Maintenance
• Publication/ Report Number:
  SWUTC/11/161128-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Corporate Publisher:
  Southwest Region University Transportation Center (U.S.)
• Abstract:
  "As is the case for most of the Departments of Transportation in the U.S., the Texas Department of
  
  Transportation has been experiencing fluctuations of budget for maintaining and preserving its highway
  
  infrastructure over the recent years. If the maintenance budget shortfall lasts for an extended period of time,
  
  the condition of the highway network would be harmed directly or indirectly since some maintenance work
  
  would be deferred or cancelled. Thus, in order to control and minimize the risk caused by maintenance
  
  budget reductions, it is important for highway agencies to adjust their maintenance and rehabilitation policies
  
  to accommodate budget fluctuations. This report presents a methodological framework that helps highway
  
  agencies quantify the risks to highway networks, and revise the highway routine maintenance work plans to
  
  minimize the impact of budget fluctuations. The proposed methodology aims to assist highway agencies in
  
  prioritizing and selecting maintenance functions according to the risk of not performing a specific
  
  maintenance activity. Also, this methodology considers the subjective nature of decision makers’
  
  assessments, allowing different levels of confidence and different attitudes toward risk to be captured as the
  
  uncertainty and imprecision involved in the decision making process. In the case study, the proposed
  
  methodology is tested with a set of data obtained from the Texas Department of Transportation. The result is
  
  compared with the outcome obtained from the crisp Analytical Hierarchy Process using the same set of data.
  
  The outcomes from the two methodologies are very close, validating the effectiveness of prioritizing
  
  highway maintenance functions using Multi-Attribute Analysis with Fuzzy Pairwise Comparison."
  
  
• Format:
  PDF
• Funding:
  10727
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha256:e42f92546b006e120644c3a47e03789e81a37bdb4ef6b590ab0bdc08d78dea44
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23695/dot_23695_DS1.pdf
• File Type:
  [PDF - 441.15 KB ]