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Bajaj, D, Oluwoye, J O and Lenard, D (1997) An analysis of contractors' approaches to risk identification in New South Wales, Australia. Construction Management and Economics, 15(04), 363-9.

Bowles, G, Dagpunar, J S and Gow, H (1997) Financial management of planned maintenance for housing associations. Construction Management and Economics, 15(04), 315-26.

Chau, K W (1997) Note - The ranking of construction management journals. Construction Management and Economics, 15(04), 387-98.

Fenn, P (1997) Note - Rigour in research and peer review. Construction Management and Economics, 15(04), 383-5.

Griffith, A and Headley, J D (1997) Using a weighted score model as an aid to selecting procurement methods for small building works. Construction Management and Economics, 15(04), 341-8.

Hatush, Z and Skitmore, M R (1997) Assessment and evaluation of contractor data against client goals using PERT approach. Construction Management and Economics, 15(04), 327-40.

Punwani, A (1997) A study of the growth-investment-financing nexus of the major UK construction groups. Construction Management and Economics, 15(04), 349-61.

Songer, A D, Diekmann, J E and Pecsok, R (1997) Note - Risk analysis for revenue dependent infrastructure projects. Construction Management and Economics, 15(04), 377-82.

  • Type: Journal Article
  • Keywords: computer; Monte Carlo; privatization; project finance; risk analysis
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/014461997372935
  • Abstract:

    Recent trends in the construction industry indicate continued use of alternative procurement methods such as design-build, construction management, build-operate-transfer, and privatization. Increased use of these evolving methods produces higher levels of uncertainty with respect to long term performance and profitability. The uncertainties inherent in implementing new procurement methods necessitate investigation of enhanced methods of pre-project planning and analysis. This is particularly true for revenue dependent privatization projects such as toll roads. Poor initial performance of toll road projects suggests traditional methods of project analysis are inadequate. Sustaining investor and stakeholder support of privatized revenue dependent projects is dependent upon successful financial performance. Enhanced risk analysis tools provide improved information for pre-project decision making and performance outcome. One such risk analysis method is the Monte Carlo. Monte Carlo methods are especially useful in evaluating which of several uncertain quantities most significantly contributes to the overall risk of the project. This paper demonstrates a Monte Carlo risk assessment methodology for revenue dependent infrastructure projects.

Tse, R Y C and Ganesan, S (1997) Note - Causal relationship between construction flows and output: evidence from Hong Kong. Construction Management and Economics, 15(04), 371-6.