Measurement and Dependence Analysis of Cost Overruns in Megatransport Infrastructure Projects: Case Study in Hong Kong
Publication: Journal of Construction Engineering and Management
Volume 144, Issue 3
Abstract
This study investigates the characteristics of the cost performance of megatransport infrastructure projects in Hong Kong and performs dependence analysis of cost overruns. It is based on 57 samples of road, rail, bridge, and tunnel projects over the period of 1985–2015 and pursues the following two objectives: (1) it measures the characteristics of cost overruns in Hong Kong megatransport infrastructure projects using case data and statistical analysis method; and (2) it examines three independent explanatory variables (i.e., project type, size of the project, and length of the project implementation period) and their statistical relationship with cost overruns to determine whether there exist differences between Hong Kong infrastructure projects and the worldwide findings. The results indicate that, in Hong Kong, projects on average have a cost escalation of 39.18% and the average cost overrun is 34.83% for rail, 32.52% for road projects, and 37.48% for fixed-link (i.e., bridges and tunnels) projects. The year of the decision to build has no effect on cost escalation. The major findings concerning the dependence of cost escalations are as follows. In terms of project type, rail projects are most prone to cost increase, followed by fixed-links, whereas road projects are the least vulnerable to cost escalations. Cost overruns have no significant relationship with project size, but for road projects, smaller scale projects tend to be more prone to larger cost overruns. The cost overruns strongly depend on the length of the implementation phase; cost escalations increase 1.35% with each additional year of preconstruction period. This indicates that the preconstruction phase length can be viewed as a better indicator of cost escalations compared to the construction length. This can be an essential contribution to the existing literature on cost overruns as the stage in which the infrastructures are most prone to cost escalations is considerably narrowed down. The practical implications of this study are that decision makers should focus on this period and pay more attention to delays and longer preconstruction phases if they want to determine the causes and solutions of cost overruns.
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Data Availability Statement
All data generated or analyzed during the study are included in the published paper. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.
Acknowledgments
The authors would like to acknowledge fundamental research funds for the central universities (Nos. 106112015CDJSK03JD10 and 2017CDJSK03XK01) and the Social Science and Humanity on Young Fund of the Ministry of Education P.R. China (No. 15YJC630003).
References
Ameh, O. J., Soyingbe, A. A., and Odusami, K. T. (2010). “Significant factors causing cost overruns in telecommunication projects in Nigeria.” J. Constr. Dev. Countries, 15(2), 49–67.
Arkes, H. R., and Hutzel, L. (2000). “The role of probability of success estimates in the sunk cost effect.” J. Behav. Decis. Making, 13(3), 295–306.
Armstrong, J. S., ed. (2001). Principles of forecasting: A handbook for researchers and practitioners, Kluwer Academic Publishers, Norwell, MA.
Boulding, W., Morgan, R., and Staelin, R. (1997). “Pulling the plug to stop the new product drain.” J. Market. Res., 34(1), 164–176.
Cantarelli, C. C., Flyvbjerg, B., van Wee, B., and Molin, E. J. E. (2010). “Lock-in and its influence on the project performance of large-scale transportation infrastructure projects: Investigating the way in which lock-in can emerge and affect cost overruns.” Environ. Plann. B, 37(5), 792–807.
Cantarelli, C. C., Molin, E. J. E., Wee, B. V., and Flyvbjerg, B. (2012a). “Characteristics of cost overruns for Dutch transport infrastructure projects and the importance of the decision to build and project phases.” Transp. Policy, 22(22), 49–56.
Cantarelli, C. C., Wee, B. V., Molin, E. J. E., and Flyvbjerg, B. (2012b). “Different cost performance: Different determinants? The case of cost overruns in Dutch transport infrastructure projects.” Transp. Policy, 22(3), 88–95.
DB (Development Bureau). (2002). “Special conditions of contract for use in mega project contracts.”, Government of the Hong Kong Special Administrative Region, Hong Kong.
Ellis, R., Pyeon, J. H., Herbsman, Z., Minchin, E., and Molenaer, K. (2007). “Evaluation of alternative contracting techniques on FDOT construction projects.” Dept. of Transportation, Tallahassee, FL.
Endut, I. R., Akintoye, A., and Kelly, J. (2009). “Cost and time overruns of projects in Malaysia.” 21, 243–252.
Flyvbjerg, B., et al. (2002). “Underestimating costs in public works projects: Error or lie?” J. Am. Plann. Assoc., 68(3), 279–295.
Flyvbjerg, B. (2007). “Cost overruns and demand shortfalls in urban rail and other infrastructure.” Transp. Plann. Technol., 30(1), 9–30.
Flyvbjerg, B. (2014). “What you should know about megaprojects and why: An overview.” Quant. Finance, 45(2), 6–19.
Flyvbjerg, B., Bruzelius, N., and Rothengatter, W. (2003a). Megaprojects and risk: An anatomy of ambition, Cambridge University Press, Cambridge, U.K.
Flyvbjerg, B., Holm, M., and Buhl, S. L. (2005). “How (in)accurate are demand forecasts in public works projects? The case of transportation.” Town Country Plann. Q. Rev. Town Country Plann. Assoc., 71(2), 131–146.
Flyvbjerg, B., Skamris Holm, M. K., and Buhl, S. L. (2003b). “How common and how large are cost overruns in transport infrastructure projects?” Transp. Rev., 23(1), 71–88.
Flyvbjerg, B., Skamris Holm, M. K., and Buhl, S. L. (2004). “What causes cost overrun in transport infrastructure projects?” Transp. Rev., 24(1), 3–18.
Hussin, J. M., Rahman, I. A., and Memon, A. H. (2013). “The way forward in sustainable construction: issues and challenges.” Int. J. Adv. Appl. Sci., 2(1), 15–24.
Ibrahim, A. R., Roy, M. H., Ahmed, Z., and Imtiaz, G. (2010). “An investigation of the status of the Malaysian construction industry.” Benchmarking Int. J., 17(2), 294–308.
Jha, K. N., and Devaya, M. N. (2008). “Modelling the risks faced by Indian construction companies assessing international projects.” Constr. Manage. Econ., 26(4), 337–348.
Kaliba, C., Muya, M., and Mumba, K. (2009). “Cost escalation and schedule delays in road construction projects in Zambia.” Int. J. Project Manage., 27(5), 522–531.
Kardes, I., Ozturk, A., Cavusgil, S. T., and Cavusgil, E. (2013). “Managing global megaprojects: Complexity and risk management.” Int. Bus. Rev., 22(6), 905–917.
Koushki, P. A., Al-Rashid, K., and Kartam, N. (2005). “Delays and cost increases in the construction of private residential projects in Kuwait.” Constr. Manage. Econ., 23(3), 285–294.
Lee, J. K. (2008). “Cost overrun and cause in Korean social overhead capital projects: Roads, rails, airports, and ports.” J. Urban Plann. Dev., 59–62.
Le-Hoai, L., Lee, Y. D., and Lee, J. Y. (2008). “Delay and cost overuns in Vietnam large construction projects: A comparison with other selected countries.” KSCE J. Civ. Eng., 12(6), 367–377.
Liu, B., Huo, T., Liang, Y., Sun, Y., and Hu, X. (2016a). “Key factors of project characteristics affecting project delivery system decision making in the Chinese construction industry: Case study using Chinese data based on rough set theory.” J. Prof. Issues Eng. Educ. Pract., 05016003.
Liu, B., Huo, T., Liao, P., Gong, J., and Xue, B. (2015a). “A group decision-making aggregation model for contractor selection in large scale construction projects based on two-stage partial least squares (PLS) path modeling.” Group Decis. Negotiation, 24(5), 855–883.
Liu, B., Huo, T., Liao, P. C., Yuan, J., Sun, J., and Hu, X. (2017a). “A special partial least squares (PLS) path decision modeling for bid evaluation of large construction projects.” KSCE J. Civ. Eng., 21(3), 579–592.
Liu, B., Huo, T., Meng, J., Gong, J., Shen, Q., and Sun, T. (2016b). “Identification of key contractor characteristic factors that affect project success under different project delivery systems: Empirical analysis based on a group of data from China.” J. Manage. Eng., 05015003.
Liu, B., Huo, T., Shen, Q., Yang, Z., Meng, J., and Xue, B. (2015b). “Which owner characteristics are key factors affecting project delivery system decision making? Empirical analysis based on the rough set theory.” J. Manage. Eng., 05014018.
Liu, B., Yang, X., Huo, T., Shen, G. Q., and Wang, X. (2017b). “A linguistic group decision-making framework for bid evaluation in mega public projects considering carbon dioxide emissions reduction.” J. Cleaner Prod., 148(1), 811–825.
Love, P. E., Sing, C. P., Wang, X., Irani, Z., and Thwala, D. W. (2014). “Overruns in transportation infrastructure projects.” Struct. Infrastruct. Eng., 10(2), 141–159.
Mackie, P., and Preston, J. (1998). “Twenty-one sources of error and bias in transport project appraisal.” Transp. Policy, 5(1), 1–7.
Mok, K. Y., Shen, G. Q., and Yang, J. (2015). “Stakeholder management studies in mega construction projects: A review and future directions.” Int. J. Project Manage., 33(2), 446–457.
Morris, P. W., and Hough, G. H. (1987). The anatomy of major projects: A study of the reality of project management, Wiley, Chichester, U.K.
Morris, S. (1990). “Cost and time overruns in public sector projects.” Econ. Political Weekly, 15(47), 154–168.
Moura, H. P., and Teixeira, J. C. (2007). Dealing with cost and time in the Portuguese construction industry, International Council for Research & Innovation in Building & Construction, Queensland, Australia.
Nijkamp, P., and Ubbels, B. (1999). “How reliable are estimates of infrastructure costs? A comparative analysis.” Int. J. Transp. Econ., 26(1), 23–53.
Odeck, J. (2004). “Cost overruns in road construction—What are their sizes and determinants?” Transp. Policy, 11(1), 43–53.
Olawale, Y. A., and Sun, M. (2010). “Cost and time control of construction projects: inhibiting factors and mitigating measures in practice.” Constr. Manage. Econ., 28(5), 509–526.
Omoregie, A., and Radford, D. (2006). “Infrastructure delays and cost escalation: Causes and effects in Nigeria.” Proc., 6th Int. Postgraduate Research Conf. in the Built and Human Environment, International Council for Research and Innovation in Building and Construction, Delft, Netherlands.
Park, Y. I., and Papadopoulou, T. C. (2012). “Causes of cost overruns in transport infrastructure projects in Asia: Their significance and relationship with project size.” Built Environ. Project Asset Manage., 2(2), 195–216.
Reichelt, K., and Lyneis, J. (1999). “The dynamics of project performance: Benchmarking the drivers of cost and schedule overrun.” Eur. Manage. J., 17(2), 135–150.
Sambasivan, M., and Soon, Y. W. (2007). “Causes and effects of delays in Malaysian construction industry.” Int. J. Project Manage., 25(5), 517–526.
Sharp, D. J., and Salter, S. B. (1997). “Project escalation and sunk costs: A test of the international generalizability of agency and prospect theories.” J. Int. Bus. Stud., 28(1), 101–121.
Tan, H. T., and Yates, J. F. (1995). “Sunk cost effects: The influences of instruction and future return estimates.” Organizational Behav. Hum. Decis. Process., 63(3), 311–319.
Wachs, M. (1989). “When planners lie with numbers.” J. Am. Plann. Assoc., 55(4), 476–479.
Wachs, M. (1990). “Ethics and advocacy in forecasting for public policy.” Bus. Prof. Ethics J., 9(1), 141–157.
Yang, Y. L., and Hu, X. Y. (2005). “Hong Kong government construction management model and its reference.” Forward Position Econ., 1(9), 32–35.
Zou, P. X., Zhang, G., and Wang, J. (2007). “Understanding the key risks in construction projects in China.” Int. J. Project Manage., 25(6), 601–614.
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Journal of Construction Engineering and Management
Volume 144 • Issue 3 • March 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Mar 30, 2017
Accepted: Sep 12, 2017
Published online: Jan 15, 2018
Published in print: Mar 1, 2018
Discussion open until: Jun 15, 2018
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