Understanding the landscape of overruns in transport infrastructure projects

Peter E D Love, Jim Smith, Ian Simpson, Michael Regan, Oluwole Olatunji

Research output: Contribution to journalArticleResearchpeer-review

26 Citations (Scopus)

Abstract

Cost and schedule overruns are endemic features of transport infrastructure projects. Despite the considerable amount of research within the field of transport and planning in the past thirty years, limited progress has been made to improving the performance of projects. We contend that this will continue to be an issue as long as research efforts focus on the ‘outside view’ with emphasis being placed upon strategic misrepresentation and optimism bias. Understanding ‘why’ and ‘how’ projects overrun, particularly from both ‘outside’ and ‘inside’ perspectives, is pivotal to reducing their impact and occurrence. Thus, in conjunction with the transport and planning literature, references to cost-overrun studies undertaken within the field of construction and engineering are examined. Our objective is to provide policy makers, industry, voluntary organizations, and the public at large with an ameliorated understanding about time-overrun and costoverrun phenomena. Suggestions to mitigate overruns based upon recent process and technological innovations are identified and discussed.

Original languageEnglish
Pages (from-to)490-509
Number of pages20
JournalEnvironment and Planning B: Planning and Design
Volume42
Issue number3
DOIs
Publication statusPublished - 2015

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Cite this

Love, Peter E D ; Smith, Jim ; Simpson, Ian ; Regan, Michael ; Olatunji, Oluwole. / Understanding the landscape of overruns in transport infrastructure projects. In: Environment and Planning B: Planning and Design. 2015 ; Vol. 42, No. 3. pp. 490-509.
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Understanding the landscape of overruns in transport infrastructure projects. / Love, Peter E D; Smith, Jim; Simpson, Ian; Regan, Michael; Olatunji, Oluwole.

In: Environment and Planning B: Planning and Design, Vol. 42, No. 3, 2015, p. 490-509.

Research output: Contribution to journalArticleResearchpeer-review

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