Project Assessment Tools Evaluation and Selection Using the Hierarchical Decision Modeling: Case of State Departments of Transportation in the United States
Sponsor
The research is partially funded by the Ministry of Higher Education and Scientific Research in Libya and the NCHRP 19-11 research project in the United States.
Published In
Journal of Management in Engineering
Document Type
Citation
Publication Date
10-2020
Abstract
: A considerable amount of research has been conducted on the performance of project delivery methods and applications in project development within the transportation industry. However, decision makers are still seeking a trusted decision model that considers all options and impacts of risk needed for successful project delivery. This study developed a comprehensive multicriteria decision making (MCDM) model capable of evaluating and choosing the most effective project assessment tool for measuring the success of project delivery performance and outcomes. A case study approach was adopted to explore and assess the assessment tools and innovative processes that are used in the development phase within transportation project life cycle phases. A scenario analysis technique was applied, and 62 subjectmatter experts from the transportation industry were interviewed. The data they provided were quantified, and they validated the study results. The results ranked the VE-RACRDAM as the most important project assessment alternative. This study significantly contributes to project management knowledge, decision modeling, project development, and delivery success. D
Rights
© 2020 American Society of Civil Engineers.
Locate the Document
https://doi.org/10.1061/(ASCE)ME.1943-5479.0000858
DOI
10.1061/(ASCE)ME.1943-5479.0000858
Persistent Identifier
https://archives.pdx.edu/ds/psu/36393
Citation Details
Khalifa, R. I., & Daim, T. U. (2021). Project Assessment Tools Evaluation and Selection Using the Hierarchical Decision Modeling: Case of State Departments of Transportation in the United States. Journal of Management in Engineering, 37(1), 1–16. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000858