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Bogus, S M, Molenaar, K R and Diekmann, J E (2006) Strategies for overlapping dependent design activities. Construction Management and Economics, 24(08), 829-37.

Grosskopf, K R and Kibert, C J (2006) Economic incentive framework for sustainable energy use in US residential construction. Construction Management and Economics, 24(08), 839-46.

Lewis, T M and Hosein, R (2006) An estimation of the size of the hidden labour force in construction in Trinidad and Tobago. Construction Management and Economics, 24(08), 805-15.

Mattar, M H and Cheah, C Y J (2006) Valuing large engineering projects under uncertainty: private risk effects and real options. Construction Management and Economics, 24(08), 847-60.

Poh, Y P and Tah, J H M (2006) Integrated duration-cost influence network for modelling risk impacts on construction tasks. Construction Management and Economics, 24(08), 861-8.

  • Type: Journal Article
  • Keywords: Quantitative risk analysis; integrated duration-cost influence network; risk factors; risk modelling; risk propagation
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190600658891
  • Abstract:

    Quantitative risk analysis is usually ignored in construction risk management, although numerous techniques are available. One of the shortcomings of conventional quantitative risk analysis techniques is that they can only analyse either duration or cost risks. In view of this, an integrated duration–cost influence network that systematically represents the interdependencies among the duration and cost parameters of a construction task has been developed, and mathematical equations have been formulated to represent the dependencies. The generic structure of the influence network can be used for explicitly modelling risk impacts affecting any construction task, and the nature of risks can be investigated in the risk modelling process. In addition, risk impacts modelled can potentially be propagated through the influence network for quantifying the risk‐adjusted task duration and cost simultaneously. Thus, the influence network provides the basis for performing integrated duration–cost risk modelling and simulation in future research.

Raidén, A B, Dainty, A R J and Neale, R H (2006) Balancing employee needs, project requirements and organisational priorities in team deployment. Construction Management and Economics, 24(08), 883-95.

Sacks, R and Harel, M (2006) An economic game theory model of subcontractor resource allocation behaviour. Construction Management and Economics, 24(08), 869-81.

Skitmore, M and Runeson, G (2006) Bidding models: testing the stationarity assumption. Construction Management and Economics, 24(08), 791-803.

Zhang, S B and Liu, A M M (2006) Organisational culture profiles of construction enterprises in China. Construction Management and Economics, 24(08), 817-28.