Large-Scale Transport Infrastructure Project Performance: Generating a Narrative of Context and Meaning

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Abstract

In this article, we go beyond the proverbial appreciation that context matters and provide a deep exploration of how and why it can help make sense of cost deviations in large-scale transport projects (>$500 million). Using abductive inference in combination with a multiple case study approach, the criteria of planning, funding, scope, contract, challenges/issues, and benefits are used to understand and interpret the context and meaning of project cost performance. By comparing two light rail transit systems and conducting an in-depth examination of a road project, this article examines the differences between procurement approaches and worldviews and how they can introduce bias into a project's cost performance outlook. The contributions of this research are threefold as it provides an avenue for a new line of inquiry to help better understand causal inferences, thus contributing to the development of a plausible theory of project cost performance; highlights the ambiguity associated with cost performance assessment and calls for the use of standardized definitions and terminologies so that evidence-based decision surrounding risk and uncertainty can be enacted; and suggests that by engaging in a collaborative benchmarking process of project completion data, the context and meaning of a project's performance can be documented.

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APA

Love, P. E. D., Ika, L. A., Matthews, J., & Fang, W. (2023). Large-Scale Transport Infrastructure Project Performance: Generating a Narrative of Context and Meaning. IEEE Transactions on Engineering Management, 70(10), 3637–3652. https://doi.org/10.1109/TEM.2021.3094511

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