Document Type

Dissertation

Degree

Doctor of Philosophy (PhD)

Department

Civil Engineering

First Advisor's Name

Mohammed Hadi

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Albert Gan

Second Advisor's Committee Title

Committee member

Third Advisor's Name

Xia Jin

Third Advisor's Committee Title

Committee member

Fourth Advisor's Name

Yan Xiao

Fourth Advisor's Committee Title

Committee member

Fifth Advisor's Name

Zhenmin Chen

Fifth Advisor's Committee Title

Committee member

Sixth Advisor's Name

Priyanka Alluri

Sixth Advisor's Committee Title

Committee member

Keywords

Road user costs, MCDM, Present worth analysis, TOPSIS fuzzy evaluation, Traffic diversion, Lane merging behavior

Date of Defense

3-31-2017

Abstract

The decision-making process in highway construction projects identifies and selects the optimal alternative based on the user requirements and evaluation criteria. The current practice of the decision-making process does not consider all construction impacts in an integrated decision-making process. This dissertation developed a multi-criteria evaluation framework to support the decision-making process in highway construction projects. In addition to the construction cost and mobility impacts, reliability, safety, and emission impacts are assessed at different evaluation levels and used as inputs to the decision-making process.

Two levels of analysis, referred to as the planning level and operation level, are proposed in this research to provide input to a Multi-Criteria Decision-Making (MCDM) process that considers user prioritization of the assessed criteria. The planning level analysis provides faster and less detailed assessments of the inputs to the MCDM utilizing analytical tools, mainly in a spreadsheet format. The second level of analysis produces more detailed inputs to the MCDM and utilizes a combination of mesoscopic simulation-based dynamic traffic assignment tool, and microscopic simulation tool, combined with other utilities.

The outputs generated from the two levels of analysis are used as inputs to a decision-making process based on present worth analysis and the Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Situation) MCDM method and the results are compared.

Identifier

FIDC001767

ORCID

0000-0002-2595-0139

Available for download on Sunday, April 22, 2018

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