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Ahmadian, F F A, Rashidi, T H, Akbarnezhad, A and Waller, S T (2017) BIM-enabled sustainability assessment of material supply decisions. Engineering, Construction and Architectural Management, 24(04), 668-95.
Al-Hammad, A M, Al-Mubaiyadh, S and Mahmoud, T (1996) Public versus private sector's assessment of problems facing the building maintenance industry in Saudi Arabia. Building Research & Information, 24(04), 245–54.
Best, R and Langston, C (2006) Evaluation of construction contractor performance: a critical analysis of some recent research. Construction Management and Economics, 24(04), 439-45.
Buijs, A and Silvester, S (1996) Demonstration projects and sustainable housing. Building Research & Information, 24(04), 195–202.
Cheung, F K T and Skitmore, M (2006) A modified storey enclosure model. Construction Management and Economics, 24(04), 391-405.
Ejohwomu, O A, Oshodi, O S and Lam, K C (2017) Nigeria’s construction industry: Barriers to effective communication. Engineering, Construction and Architectural Management, 24(04), 652-67.
Enshassi, A (1996) Training for Palestinian engineers to face the challenges of multinational enterprises in the Gaza Strip. Building Research & Information, 24(04), 222–7.
GhaffarianHoseini, A, Tien, D D, Naismith, N, Tookey, J and GhaffarianHoseini, A (2017) Amplifying the practicality of contemporary building information modelling implementations for New Zealand green building certification (green star). Engineering, Construction and Architectural Management, 24(04), 696-714.
Gunning, J G and Cooke, E (1996) The influence of occupational stress on construction professionals. Building Research & Information, 24(04), 213–22.
Hassanein, A A G (1996) Factors affecting the bidding behaviour of contractors in Egypt. Building Research & Information, 24(04), 228–36.
Hassanein, A A G and Hakam, Z H R (1996) A bidding decision index for construction contractors. Building Research & Information, 24(04), 237–44.
Hu, X and Liu, C (2017) Total factor productivity measurement with carbon reduction. Engineering, Construction and Architectural Management, 24(04), 575-92.
Huang, Y-L and Chou, S-P (2006) Valuation of the minimum revenue guarantee and the option to abandon in BOT infrastructure projects. Construction Management and Economics, 24(04), 379-89.
Johnson, C, Lizarralde, G and Davidson, C H (2006) A systems view of temporary housing projects in post-disaster reconstruction. Construction Management and Economics, 24(04), 367-78.
Kazemi, R M, Riley, D, Asadi, S and Delgoshaei, P (2017) Improving the performance profile of energy conservation measures at the Penn State University Park campus. Engineering, Construction and Architectural Management, 24(04), 610-28.
Kindangen, J I (1996) Artificial neural networks and naturally ventilated buildings. Building Research & Information, 24(04), 203–8.
Panahi, B, Moezzi, E, Preece, C N and Wan, Z W N (2017) Value conflicts and organizational commitment of internal construction stakeholders. Engineering, Construction and Architectural Management, 24(04), 554-74.
Parchami, J M and Shoar, S (2017) A hybrid SD-dematel approach to develop a delay model for construction projects. Engineering, Construction and Architectural Management, 24(04), 629-51.
Rahmani, F, Maqsood, T and Khalfan, M (2017) An overview of construction procurement methods in Australia. Engineering, Construction and Architectural Management, 24(04), 593-609.
Stewart, R A and Spencer, C A (2006) Six-sigma as a strategy for process improvement on construction projects: a case study. Construction Management and Economics, 24(04), 339-48.
Tang, C M, Wong, C W Y, Leung, A Y T and Lam, K C (2006) Selection of funding schemes by a borrowing decision model: a Hong Kong case study. Construction Management and Economics, 24(04), 349-65.
Thomas, A V, Kalidindi, S N and Ganesh, L S (2006) Modelling and assessment of critical risks in BOT road projects. Construction Management and Economics, 24(04), 407-24.
- Type: Journal Article
- Keywords: BOT projects; risk modelling; risk assessment; fuzzy sets; possibility distribution
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446190500435275
- Abstract:
Over the years, many private sector participation (PSP) models have been evolved for infrastructure procurement and the Build-Operate-Transfer (BOT) model is one of the most common approaches used for the same. Private infrastructure projects under BOT arrangement have a complex risk profile and to a considerable extent, the success of any BOT project is influenced by the degree to which various project risks are managed. The major steps involved in risk management of a project are risk identification, risk assessment and the processes of prioritization and response to the risks. The conventional risk assessment approaches may not be effective in privatized infrastructure projects because of the fact that, they have very long project lifecycle with many country and sector specific risk factors. The assessment of complex risks is often a difficult task when past data on similar risks are not available. In this research, a risk probability and impact assessment framework based on fuzzy-fault tree and the Delphi method is proposed. The framework includes extensive scenario modelling of critical risks in projects and systematic processing of professional judgement (subjective knowledge) of experts and is developed and demonstrated in the context of critical risks in Indian BOT road projects. Detailed scenario modelling of most critical risks such as traffic revenue risk, delay in land acquisition, demand risk and delay in financial closure are also presented. The proposed risk assessment framework is generic and can be applied with appropriate modifications to suit any complex developmental project where past data is inadequate for risk assessment.
Wilson, J G and Gupta, N K (1996) Assessment of structure formation in fresh concrete by measurement of its electrical resistance. Building Research & Information, 24(04), 209–12.
Wong, J T Y and Hui, E C M (2006) Construction project risks: further considerations for constructors' pricing in Hong Kong. Construction Management and Economics, 24(04), 425-38.