Off the rails: The cost performance of infrastructure rail projects

Peter E.D. Love, Jingyang Zhou, David J. Edwards, Zahir Irani, Chun Pong Sing

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)

Abstract

Governments in Australia place great emphasis on the development and expansion of their rail networks to improve productivity and service the increasing needs and demands from businesses and commuters. A case study approach is used to analyze the cost performance of 16 rail projects constructed by a contractor between 2011 and 2014, which ranged from AU$3.4 to AU$353 million. Findings indicate that scope changes during construction were the key contributors that lead to the amendment of each project's original contractual value. As a result, there is a need for public and private sector asset owners to establish a cost contingency using a probabilistic rather than a deterministic approach to accommodate the potential for scope changes during construction. To improve cost certainty during the construction of rail projects, it is suggested that use of collaborative forms of procurement juxtaposed with the use of Building Information Modelling and Systems Information Modelling are implemented. The utilization of such technological and process innovations can provide public and private sector asset owners charged with delivering and maintaining their rail networks with confidence projects can be delivered within budget and are resilient to unexpected events and adaptable to changing needs, uses or capacities.

Original languageEnglish
Pages (from-to)14-29
Number of pages16
JournalTransportation Research, Part A: Policy and Practice
Volume99
DOIs
Publication statusPublished - 1 May 2017
Externally publishedYes

Keywords

  • Australia
  • BIM
  • Collaboration
  • Contingency
  • Cost overrun
  • SIM
  • Scope changes

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Business, Management and Accounting (miscellaneous)
  • Transportation
  • Aerospace Engineering
  • Management Science and Operations Research

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