Sensitivity of Cost Overrun Propensity and Severity to Highway Project Bundling
Publication: Journal of Management in Engineering
Volume 40, Issue 2
Abstract
This paper addresses the confluence of two issues associated with transportation construction: cost overruns, which represent a threat to cost savings, and project bundling, which represents an opportunity for cost savings. The paper hypothesizes that there exists a significant relationship between project bundling practice and the occurrence propensity and severity of cost overrun, and that the nature of this relationship varies across the different project types. Recognizing that current literature lacks adequate evidence regarding the nature of this specific relationship, this paper addresses the question using econometric modeling techniques. The study objective is to quantitatively assess project bundling impacts on the propensity and magnitude of cost overrun and how these impacts vary by project type. The methods used include binary logit and logistic regression specifications. The data were from a highway construction contract database involving 8,782 projects (consisting of 36 project types grouped into six work categories) and 5,180 contracts. The paper finds that, generally, project bundling does affect cost overruns, and that there exists variation of this relationship across the different types of projects. The outcomes of this study can help guide agencies on which project types could be bundled to reduce the occurrence propensity or magnitude of cost overrun as well as the bundling combinations for which cost savings may not be realized. As bundling practices become increasingly prevalent, public agencies interested in adjusting their financial estimates to accommodate possible cost overruns can replicate the study methodology provided in this paper. With the bundling and cost overrun relationship functions that could be developed using their local data, agencies can carry out, in a more reliable manner, the task of contract contingency sum estimation for bundled projects.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
References
AASHTO. 2012. Missouri DOT bundles three projects into one to finish ahead of schedule and under budget. Washington, DC: AASHTO.
Abioye, O. F., M. A. Dulebenets, E. E. Ozguven, R. Moses, W. R. Boot, and T. Sando. 2020. “Assessing perceived driving difficulties under emergency evacuation for vulnerable population groups.” Socio-Econ. Plann. Sci. 72 (1): 100878. https://doi.org/10.1016/j.seps.2020.100878.
Abusafiya, H. A., and S. M. Suliman. 2017. “Causes and effects of cost overrun on construction project in Bahrain.” Mod. Appl. Sci. 11 (7): 20. https://doi.org/10.5539/mas.v11n7p20.
Agarwal, R. S., S. Chandrasekaran, and M. Sridhar. 2016. Imagining construction’s digital future capital projects and infrastructure. Singapore: McKinsey Productivity Sciences Center.
Aho, K., D. Derryberry, and T. Peterson. 2014. “Model selection for ecologists: The worldviews of AIC and BIC.” Ecology 95 (3): 631–636. https://doi.org/10.1890/13-1452.1.
Akaike, H. 1974. “A new look at the statistical model identification.” IEEE Trans. Autom. Control 19 (6): 716–723. https://doi.org/10.1109/TAC.1974.1100705.
Al Amri, T., and M. Marey-Perez. 2020. “Project delays and cost overruns between public and private sectors in Oman.” J. Public Aff. 21 (3): 1–10. https://doi.org/10.1002/pa.2262.
Albtoush, A. F., S. I. Doh, and R. A. Rahman. 2021. “Underlying factors of cost overruns in developing countries.” Earth Environ. Sci. 682 (1): 012019. https://doi.org/10.1088/1755-1315/682/1/012019.
Al-Hazim, N., Z. Abu Salem, and H. Ahmad. 2017. “Delay and cost overrun in infrastructure projects in Jordan.” Procedia Eng. 182 (1): 18–24. https://doi.org/10.1016/j.proeng.2017.03.105.
Anastasopoulos, P., M. Volovski, and S. Labi. 2013. “Preservation: Are public private partnerships cutting costs?” Pavement Preserv. J. 6 (3): 33–35.
Antoine, A., D. Alleman, and K. R. Molenaar. 2019. “Examination of project duration, project intensity, and timing of cost certainty in highway project delivery.” J. Manage. Eng. 35 (1): 04018049. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000661.
Assaf, G., and R. H. Assaad. 2023. “Key decision-making factors influencing bundling strategies: Analysis of bundled infrastructure projects.” J. Infrastruct. Syst. 29 (2): 04023006. https://doi.org/10.1061/JITSE4.ISENG-2225.
Bhargava, A., S. Labi, S. Chen, T. Saeed, and K. Sinha. 2017. “Predicting cost escalation pathways and deviation severities of infrastructure projects using risk-based econometric models and Monte Carlo simulation.” Comput.-Aided Civ. Infrastruct. Eng. 32 (8): 620–640. https://doi.org/10.1111/mice.12279.
Bordat, C., B. G. McCullouch, S. Labi, and K. C. Sinha. 2004. An analysis of cost overruns and time delays of INDOT projects. West Lafayette, IN: Indiana Dept. of Transportation and Purdue Univ.
Catalão, F. P., C. O. Cruz, and J. M. Sarmento. 2020. “Public management and cost overruns in public projects.” Int. Public Manage. J. 25 (5): 677–703. https://doi.org/10.1080/10967494.2020.1804498.
CBO (Congressional Budget Office). 2012. Using public-private partnerships to carry out highway projects. Washington, DC: CBO.
Chang, A. S.-T. 2002. “Reasons for cost and schedule increase for engineering design projects.” J. Manage. Eng. 18 (1): 29–36. https://doi.org/10.1061/(ASCE)0742-597X(2002)18:1(29).
Chen, F., X. Ma, and S. Chen. 2014. “Refined-scale panel data crash rate analysis using random-effects Tobit model.” Accid. Anal. Prev. 73 (Dec): 323–332. https://doi.org/10.1016/j.aap.2014.09.025.
D’Angelo, D., B. Benton, T. Bishop, R. Garcia, and K. Atkins. 2019. Bridge bundling guidebook: An efficient and effective method for maintaining and improving bridge assets. Washington, DC: Federal Highway Administration.
D’Angelo, D., D. Gransberg, B. Benton, R. McCleary, R. Garcia, and D. Unkefer. 2021. Advanced project bundling: A reference for getting started. FHWA-RC-21-0008. Washington, DC: Federal Highway Administration.
D’Angelo, D., R. E. Minchin, Y. Tian, and B. An. 2020. “Bundling: An innovation in bridge delivery.” In Proc., Int. Structural Engineering and Construction Holistic Overview of Structural Design and Construction, edited by Y. Vacanas, C. Danezis, A. Singh, and S. Yazdani. Fargo, ND: International Structural Engineering and Construction Society.
Dulebenets, M. A., O. F. Abioye, E. E. Ozguven, R. Moses, W. R. Boot, and T. Sando. 2019. “Development of statistical models for improving efficiency of emergency evacuation in areas with vulnerable population.” Reliab. Eng. Syst. Saf. 182 (Feb): 233–249. https://doi.org/10.1016/j.ress.2018.09.021.
Durdyev, S. 2020. “Review of construction journals on causes of project cost overruns.” Eng. Constr. Archit. Manage. 28 (4): 1241–1260. https://doi.org/10.1108/ECAM-02-2020-0137.
Edwards, C., and N. Kaeding. 2015. “Federal government cost overruns.” Cato Inst. Tax Budget J. 72 (1): 1–8.
Elbashbishy, T. S., O. A. Hosny, A. F. Waly, and E. M. Dorra. 2022. “Assessing the impact of construction risks on cost overruns: A risk path simulation–driven approach.” J. Manage. Eng. 38 (6): 04022058. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001090.
Estache, A., and A. Iimi. 2011. “(Un)bundling infrastructure procurement: Evidence from water supply and sewage projects.” Util. Policy 19 (2): 104–114. https://doi.org/10.1016/j.jup.2010.12.003.
FHWA (Federal Highway Administration). 2006. “Summary of responses—AASHTO / FHWA survey on construction cost increases and competition.” Accessed December 10, 2022. https://www.fhwa.dot.gov/programadmin/contracts/priccomp.cfm.
FHWA (Federal Highway Administration). 2018. “Project bundling: A strategic program delivery solution that saves bundles, resource guide, every day counts, innovation initiative, national webinar.” Accessed December 14, 2022. https://www.fhwa.dot.gov/innovation/everydaycounts/edc_5/docs/project-bundling-webinars-resource.pdf.
Flyvbjerg, B., M. K. Shamris Holm, and S. L. Buhl. 2004. “What causes cost overrun in transport infrastructure projects?” Transport Rev. 24 (1): 3–18. https://doi.org/10.1080/0144164032000080494a.
Frank, M., and T. Merna. 2003. “Portfolio analysis for a bundle of projects.” J. Struct. Project Finance 9 (3): 80–87. https://doi.org/10.3905/jsf.2003.320322.
Frimpong, Y., J. Oluwoye, and L. Crawford. 2003. “Causes of delay and cost overruns in construction of groundwater projects in a developing countries; Ghana as a case study.” Int. J. Project Manage. 21 (5): 321–326. https://doi.org/10.1016/S0263-7863(02)00055-8.
Gelman, A., and J. Hill. 2007. Data analysis using regression and multilevel/hierarchical models. New York: Cambridge University Press.
Grau, D., W. E. Back, and G. Mejia-Aguilar. 2017. “Organizational-behavior influence on cost and schedule predictability.” J. Manage. Eng. 33 (5): 04017027. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000542.
Hosani, I. A. A., F. T. Dweiri, and U. Ojiako. 2020. “A study of cost overruns in complex multi-stakeholder road projects in the United Arab Emirates.” Int. J. Syst. Assur. Eng. Manage. 11 (6): 1250–1259. https://doi.org/10.3141/2613-05.
Jahren, C., and A. Ashe. 1990. “Predictors of cost-overrun rates.” ASCE J. Constr. Eng. Manage. 116 (3): 548–552. https://doi.org/10.1061/(ASCE)0733-9364(1990)116:3(548).
Johnson, R. M., and R. I. I. Babu. 2020. “Time and cost overruns in the UAE construction industry: A critical analysis.” Int. J. Constr. Manage. 20 (5): 402–411. https://doi.org/10.1080/15623599.2018.1484864.
Kaming, P. F., P. O. Olomolaiye, G. D. Holt, and F. C. Harris. 1997. “Factors influencing construction time and cost overruns on high rise projects in Indonesia.” Construct. Manage. Econ. 15 (1): 83–94. https://doi.org/10.1080/014461997373132.
Karaca, I., D. D. Gransberg, and H. D. Jeong. 2020. “Improving the accuracy of early cost estimates on transportation infrastructure projects.” J. Manage. Eng. 36 (5): 04020063. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000819.
Larsen, J. K., G. Q. Shen, S. M. Lindhard, and T. D. Brunoe. 2016. “Factors affecting schedule delay, cost overrun, and quality level in public construction projects.” J. Manage. Eng. 32 (1): 04015032. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000391.
Leon, H., H. Osman, M. Georgy, and M. Elsaid. 2018. “System dynamics approach for forecasting performance of construction projects.” J. Manage. Eng. 34 (1): 04017049. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000575.
Love, P. E., X. Wang, C. P. Sing, and R. L. Tiong. 2013. “Determining the probability of project cost overruns.” J. Constr. Eng. Manage. 139 (3): 321–330. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000575.
Mansfield, N. R., O. O. Ugwu, and T. Doran. 1994. “Causes of delay and cost overruns in Nigeria construction projects.” Int. J. Project Manage. 12 (4): 254–260. https://doi.org/10.1016/0263-7863(94)90050-7.
McCarthy, L. A., D. Mensching, and A. Horgan. 2011. Effective delivery of small-scale federal-aid projects. NCHRP Synthesis 414. Washington, DC: Transportation Research Board.
McCullagh, P. 1980. “Regression models for ordinal data.” J. R. Stat. Soc. B 42 (2): 109–142.
Moon, H., M. Park, Y. Ahn, and N. Kwon. 2023. “Moderating effect of project type on the relationship between project delivery systems and cost performance.” J. Manage. Eng. 39 (1): 04022066. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001097.
Nabi, N. A., and I. H. El-adaway. 2021. “Understanding the key risks affecting cost and schedule performance of modular construction projects.” J. Manage. Eng. 37 (4): 04021023. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000917.
Nega, F. 2008. “Causes and effects of cost overrun on public building construction projects in Ethiopia, Addis Ababa University repository.” Accessed December 10, 2022. https://etd.aau.edu.et/handle/123456789/1246.
Park, J. E. 2021a. “Cost overruns and schedule delays of major projects: Why we need reference class forecasting.” Ph.D. dissertation, School of Arts and Sciences, Columbia Univ.
Park, J. E. 2021b. “Curbing cost overruns in infrastructure investment: Has reference class forecasting delivered its promised success.” Eur. J. Transp. Infrastruct. Res. 21 (2): 120–136. https://doi.org/10.18757/ejtir.2021.21.2.5504.
Qiao, J., S. Labi, and J. D. Fricker. 2019a. “The influence of project bundling on maintenance of traffic (MOT) costs across highway project types.” J. Constr. Eng. Manage. 145 (8): 05019010. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001676.
Qiao, Y. 2019. “Bundling effects on contract performance of highway projects: Quantitative analysis and optimization framework.” Doctoral dissertation, Lyles School of Civil Engineering, Purdue Univ. Graduate School.
Qiao, Y., J. D. Fricker, and S. Labi. 2019b. “Effects of bundling policy on project cost under market uncertainty: A comparison across different highway project types.” Transp. Res. Part A Policy Pract. 130 (Dec): 606–625. https://doi.org/10.1016/j.tra.2019.10.001.
Qiao, Y., J. D. Fricker, and S. Labi. 2019c. “Quantifying the similarity between different project types based on their pay item compositions: Application to bundling.” J. Constr. Eng. Manage. 145 (9): 04019053. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001689.
Qiao, Y., S. Labi, and J. D. Fricker. 2019d. “Hazard-based duration models for predicting actual duration of highway projects using nonparametric and parametric survival analysis.” J. Manage. Eng. 35 (6): 04019024. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000700.
Qiao, Y., S. Labi, and J. D. Fricker. 2021. “Does highway project bundling policy affect bidding competition? Insights from a mixed ordinal logistic model.” Transp. Res. Part A Policy Pract. 145 (Mar): 228–242. https://doi.org/10.1016/j.tra.2021.01.006.
Qiao, Y., T. U. Saeed, S. Chen, R. Nateghi, and S. Labi. 2018a. “Acquiring insights into infrastructure repair policy using discrete choice models.” Transp. Res. Part A Policy Pract. 113 (Jul): 491–508. https://doi.org/10.1016/j.tra.2018.04.020.
Qiao, Y. J., J. D. Fricker, S. Labi, and T. Mills. 2018b. “Bundling bridge and other highway projects: Patterns and policies.” Transp. Res. Rec. 2672 (12): 167–178. https://doi.org/10.1177/0361198118797804.
Ridderstedt, I., and J. Nilsson. 2022. “Economies of scale versus the costs of bundling in the procurement of highway pavement replacement.” Accessed February 15, 2023. https://www.diva-portal.org/smash/get/diva2:1701765/FULLTEXT01.pdf.
Rosenfeld, Y. 2014. “Root cause analysis of construction cost overruns.” J. Constr. Eng. Manage. 140 (1): 04013039. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000789.
Sediq, M. Y. M., A. N. Bhavsar, and J. R. Pitroda. 2021. “Causes of time and cost overruns in construction projects.” Solid State Technol. 64 (2): 2524–2531.
Shrestha, S., Y. Shan, and P. M. Goodrum. 2022. “Mapping of state transportation agencies’ practices and perceptions in project bundling.” Transp. Res. Rec. 2676 (7): 597–607. https://doi.org/10.1177/03611981221080129.
Simushi, S., and J. Wium. 2020. “Time and cost overruns on large projects: Understanding the root cause.” J. Constr. Dev. Countries 25 (1): 129–146. https://doi.org/10.21315/jcdc2020.25.1.7.
Teicholz, P. M. 1993. “Forecasting final cost and budget of construction projects.” J. Comput. Civ. Eng. 7 (4): 511–529. https://doi.org/10.1061/(ASCE)0887-3801(1993)7:4(511).
Ulak, M. B., E. E. Ozguven, O. A. Vanli, M. A. Dulebenets, and L. Spainhour. 2018. “Multivariate random parameter Tobit modeling of crashes involving aging drivers, passengers, bicyclists, and pedestrians: Spatiotemporal variations.” Accid. Anal. Prev. 121 (Dec): 1–13. https://doi.org/10.1016/j.aap.2018.08.031.
United States General Accounting Office. 2002. Transportation infrastructure—Cost and oversight issues on major highway and bridge projects. Washington, DC: United States General Accounting Office.
US Congress. 2015. “Fixing America’s Surface Transportation Act.” Accessed December 20, 2023. https://www.congress.gov/114/plaws/publ94/PLAW-114publ94.htm.
US Congress. 2021. “H.R.3684—Infrastructure Investment and Jobs Act.” Accessed December 19, 2023. https://www.congress.gov/bill/117th-congress/house-bill/3684/text.
Vegas-Fernández, F. 2022. “Project risk costs: Estimation overruns caused when using only expected value for contingency calculations.” J. Manage. Eng. 38 (5): 04022037. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001064.
Washington, S., M. G. Karlaftis, F. Mannering, and P. Anastasopoulos. 2020. Statistical and econometric methods for transportation data analysis. 3rd ed. New York: Chapman & Hall.
Xiong, Y., J. D. Fricker, and S. Labi. 2017. “Bundling or grouping pavement and bridge projects: Analysis and strategies.” Transp. Res. Rec. 2613 (1): 37–44. https://doi.org/10.3141/2613-05.
Yin, Y., K. Choi, H. D. Jeong, and A. Touran. 2022. “Integration of schedule, cost, traffic, and risk into the determination of construction contract times.” J. Manage. Eng. 38 (6): 04022061. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001089.
Yuan, J., H. Zou, K. Xie, and M. A. Dulebenets. 2021. “An assessment of social distancing obedience behavior during the COVID-19 post-epidemic period in China: A cross-sectional survey.” Sustainability 13 (14): 8091. https://doi.org/10.3390/su13148091.
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Journal of Management in Engineering
Volume 40 • Issue 2 • March 2024
Copyright
© 2023 American Society of Civil Engineers.
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Received: Jan 5, 2023
Accepted: Jun 8, 2023
Published online: Dec 14, 2023
Published in print: Mar 1, 2024
Discussion open until: May 14, 2024
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