Peter E.D. Love

TL;DR: This research presents a computer based mark-up decision support system called InMES (integrated mark- up estimation system) that integrates a rule-based expert system and an artificial neural network (ANN) based expert system.

TL;DR: In this article, the authors provide an ameliorated understanding about time-overrun and costoverrun phenomena in transport infrastructure projects and suggest suggestions to mitigate overruns based upon recent process and technological innovations.

TL;DR: In this paper, the predictive capabilities of the full job strain model (JSM) for construction project managers are examined, and the analysis of the results indicates that the JSM can significantly predict employees' psychological wellbeing in terms of worker health and job satisfaction.

TL;DR: In this article, the authors examine the underlying concepts of PPPs and the pertinent issues that have arisen during the procurement of infrastructure projects and suggest that future research should focus on examining how PPP delivery can be improved rather than on determining their usage within the marketplace.

TL;DR: In this article, the statistical characteristics of rework and cost and schedule overruns that are experienced from a project's contract award for 58 Australian transportation infrastructure projects are analyzed. But the best fitting distribution is the generalized logistic probability density function, which provides the best overall distribution fit.