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:
  • Highway maintenance
  • Decision support systems
  • Decision making
• 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."
  More +
• Format:
  PDF
• Funding:
  10727
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/23695/dot_23695_DS1.pdf
• File Type:
  [PDF - 441.15 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:271613994ebb7c26e590e19c0dd13ea3c7a64493091b2901fb349357680f930d8d48593de84932437932d87669f86b57e8e5c8478aa73e46c34c40f8609d72ea