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Bhagwat, K and Venkata Santosh Kumar, D (2022) A systematic review of construction safety research: quantitative and qualitative content analysis approach. Built Environment Project and Asset Management, 12(2), 243-61.

Chipozya Kosta, T, Muleya, F and Phiri, E (2022) Demystifying performance difference between local and foreign contractors through organisational culture. Built Environment Project and Asset Management, 12(2), 325-44.

Henry Duncan John, M, Amoah, C and Ayesu-Koranteng, E (2022) Causes of road projects' delays: a case of Blantyre, Malawi. Built Environment Project and Asset Management, 12(2), 293-308.

Heravi, G, Taherkhani, A H, Sobhkhiz, S, Mashhadi, A H and Zahiri-Hashemi, R (2022) Integrating risk management's best practices to estimate deep excavation projects' time and cost. Built Environment Project and Asset Management, 12(2), 180-204.

  • Type: Journal Article
  • Keywords: deep excavation; risk management; fuzzy method; Bayesian belief networks; fault-tree analysis; root cause analysis; construction costs; risk analysis; Monte Carlo simulation; Bayesian analysis
  • ISBN/ISSN:
  • URL: http://dx.doi.org/10.1108/BEPAM-11-2020-0180
  • Abstract:
    This study provides an integrated risk-based cost and time estimation approach for deep excavation projects. The purpose is to identify the best practices in recent advances of excavation risk analysis (RA) and integrate them with traditional cost and time estimation methods. The implemented best practices in this research are as follows: (1) fault-tree analysis (FTA) for risk identification (RI); (2) Bayesian belief networks (BBNs), fuzzy comprehensive analysis and Monte Carlo simulation (MCS) for risk analysis; and (3) sensitivity analysis and root-cause analysis (RCA) for risk response planning (RRP). The proposed approach is applied in an actual deep excavation project in Tehran, Iran. The results show that the framework proposes a practical approach for integrating the risk management (RM) best practices in the domain of excavation projects with traditional cost and time estimation approaches. The proposed approach can consider the interrelationships between risk events and identify their root causes. Further, the approach engages different stakeholders in the process of RM, which is beneficial for determining risk owners and responsibilities. This research contributes to the project management body of knowledge by integrating recent RM best practices in deep excavation projects for probabilistic estimation of project time and cost.

Jayantha Wadu, M and Maqsood, T (2022) Transport infrastructure, accessibility and residential property values: evidence from Hong Kong. Built Environment Project and Asset Management, 12(2), 163-79.

Kaluarachchi, M, Waidyasekara, K and Rameezdeen, R (2022) Antecedents of noise pollution control behaviour of employees of construction companies. Built Environment Project and Asset Management, 12(2), 277-92.

Kamardeen, I (2022) Work stress related cardiovascular diseases among construction professionals. Built Environment Project and Asset Management, 12(2), 223-42.

Martek, I, Edwards, D J, Seaton, S and Jones, D (2022) An appraisal of Australia's approach to promoting urban sustainability. Built Environment Project and Asset Management, 12(2), 262-76.

Nguyen Van, D, Le Dinh, T and Tran, H-B (2022) Assessing stakeholder satisfaction in PPP transport projects in developing countries: evidence from Vietnam. Built Environment Project and Asset Management, 12(2), 309-24.

Nyamagere Gladys, S, Rwelamila, P D and Gimbi, J J (2022) A conceptual framework for managing post-disaster reconstruction projects in emerging economies: the case of Angola. Built Environment Project and Asset Management, 12(2), 205-22.

Stanitsas, M and Kirytopoulos, K (2022) Underlying factors for successful project management to construct sustainable built assets. Built Environment Project and Asset Management, 12(2), 129-46.

Zeb, J (2022) A level of service framework for service-centric asset management planning. Built Environment Project and Asset Management, 12(2), 147-62.