State-of-the-Art Reviews
Aug 25, 2023

The Cost Drivers of Infrastructure Projects: Definition, Classification, and Conceptualization

Publication: Journal of Construction Engineering and Management
Volume 149, Issue 11

Abstract

Reducing cost is a critical objective for project teams. However, unlike the research on topics such as cost overruns, cost reduction literature is limited. Previous studies have primarily examined cost estimation and reduction models or high-level cost reduction strategies. Therefore, it is necessary to identify specific actions that project teams can take to reduce cost. By focusing on the “cost drivers” of infrastructure projects, researchers have a practically relevant lens through which cost reduction can be promoted and studied. Thus, this integrative literature review establishes a foundation for infrastructure project cost drivers knowledge, addressing three research questions revolving around deriving a definition, classification scheme, and conceptual framework of cost drivers. This paper first produces a definition of cost drivers by critically analyzing cost driver concepts and perspectives and existing definitions. Second, cost drivers were drawn from relevant articles and classified to produce a taxonomy of 14 key cost drivers. Third, a conceptual framework (two-by-two matrix) of cost driver types was developed to acknowledge the influence project teams can have. Finally, a research agenda proposes further investigation in cost drivers and reduction research regarding each cost driver, apt research methods, and necessary project contexts. This paper’s theoretical contribution is a deepening of infrastructure project cost drivers knowledge using a definition, taxonomy, and conceptual framework. The practical contribution is a deepened awareness of the key opportunities for—and threats to—cost reduction for project teams, as well as knowledge of those cost drivers that they actually have an influence over, that is, to reduce their project’s cost.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

The authors would like to thank the funder of this research, the National Nuclear Laboratory (NNL), for making it possible to conduct this research (Research Grant NNL/UA/115). In particular, the authors would like to thank Mr. Karl Sanderson from the Nuclear Decommissioning Authority (NDA) for his valuable feedback on earlier versions of this manuscript. The ideas and opinions in this paper represent only the point of view of the authors, and only the authors are responsible for any omission or mistake. This paper should not be taken to represent in any way the point of view of NNL, NDA, or any other organization either in the UK or abroad.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 149Issue 11November 2023

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Published online: Aug 25, 2023
Published in print: Nov 1, 2023
Discussion open until: Jan 25, 2024

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Joseph Watton, S.M.ASCE [email protected]
Ph.D. Candidate, Project Management Group, School of Civil Engineering, Univ. of Leeds, Leeds LS2 9JT, UK (corresponding author). Email: [email protected]
Associate Professor, Project Management Group, School of Civil Engineering, Univ. of Leeds, Leeds LS2 9JT, UK. ORCID: https://orcid.org/0000-0001-5815-9127. Email: [email protected]
Giorgio Locatelli, Ph.D. [email protected]
Professor, School of Management, Politecnico Di Milano, Via Labruschini 4/B, Milano 20156, Italy. Email: [email protected]
Diletta Colette Invernizzi, Ph.D. [email protected]
Project Manager, Jacobs Engineering Group, 305 Bridgewater Place, Birchwood Park, Warrington, WA3 6XG, UK. Email: [email protected]

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