Development and Application of Performance Index for Comparative Assessment of Public Capital Projects
Publication: Journal of Construction Engineering and Management
Volume 147, Issue 2
Abstract
Studies have estimated that infrastructure investment in the US will fall short by USD over the next decade due to growing urbanization. Public entities should seek to maximize the use of their available funds by increasing efficiency, supporting collaborative environments, and promoting value over initial low cost. This comprehensive study provides public entities with factual evidence of the performance of their projects under various delivery methods and bidding systems, as well as guidance toward practical implementations to increase their projects’ success using a unique data-driven mathematical model, the Project Performance Index (PPI), introduced in this paper. This index is a multivariate performance assessment metric that incorporates schedule, communication, change management, and spending metrics and is validated using confirmatory factor analysis. The results concluded that design–build (DB) projects outperformed each of hybrid single prime (HSP) and multiple prime (MP) projects (by 39% on average), construction manager at risk (CMAR) outperformed each of HSP and MP (by 32% on average), and also HSP outperformed MP (by 7.8% on average). Additionally, the study found that a 40%–45% enhancement in performance can be achieved by employing alternative delivery methods like DB and CMAR.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request (analysis R code and raw data).
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© 2020 American Society of Civil Engineers.
History
Received: Dec 28, 2019
Accepted: Sep 16, 2020
Published online: Dec 11, 2020
Published in print: Feb 1, 2021
Discussion open until: May 11, 2021
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