Identification of Critical Transportation Risk Factors Using DEMATEL
Publication: Construction Research Congress 2024
ABSTRACT
Risk management on major transportation engineering and construction projects is a recognized necessity for successful delivery. Accurately identifying and assessing the probability and impact of each risk is complex. Risk events are often assumed to be independent, but neglecting the interactions and relationships among major risk factors can result in inaccurate risk ranking or cost and schedule model underestimates. This study explores the causal relationships between primary transportation risk factors using sentiment analysis of over 5,000 risk statements, and attempts to identify the most critical factors using the decision-making trial and evaluation laboratory (DEMATEL). The findings identify seven critical risk factors that have higher than average importance and are in the net cause group. Coordination with state and local agency stakeholders was the most critical factor, ranking highest in importance and fifth in its degree of effect on the network. The results can be incorporated into project risk assessments to more comprehensively evaluate the risk severity not only as an individual event, but considering its effect on the network of risk events as a whole.
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REFERENCES
Al‐Bahar, J. F., and K. C. Crandall. 1990. “Systematic Risk Management Approach for Construction Projects.” J. Constr. Eng. Manag., 116 (3): 533–546. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)0733-9364(1990)116:3(533).
Anderson, S., K. Molenaar, and C. Schexnayder. 2007. Guidance for Cost Estimation and Management for Highway Projects During Planning, Programming, and Preconstruction. 14014. Washington, D.C.: Transportation Research Board.
Andrić, J. M., J. Wang, P. X. W. Zou, J. Zhang, and R. Zhong. 2019. “Fuzzy Logic–Based Method for Risk Assessment of Belt and Road Infrastructure Projects.” J. Constr. Eng. Manag., 145 (12): 04019082. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001721.
Bayesteh, A., E. Pourrahimian, M. Lu, and S. AbouRizk. 2022. “Integrated DEMATEL and ANP-Based Framework to Model Construction Labor Productivity.” 370–380. American Society of Civil Engineers. https://doi.org/10.1061/9780784483978.039.
Chapman, R. J. 2001. “The controlling influences on effective risk identification and assessment for construction design management.” Int. J. Proj. Manag., 19 (3): 147–160. https://doi.org/10.1016/S0263-7863(99)00070-8.
Chien, K.-F., Z.-H. Wu, and S.-C. Huang. 2014. “Identifying and assessing critical risk factors for BIM projects: Empirical study.” Autom. Constr., 45: 1–15. https://doi.org/10.1016/j.autcon.2014.04.012.
Creedy, G. D., M. Skitmore, and J. K. W. Wong. 2010. “Evaluation of Risk Factors Leading to Cost Overrun in Delivery of Highway Construction Projects.” J. Constr. Eng. Manag., 136 (5): 528–537. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000160.
Diab, M. F., A. Varma, and K. Panthi. 2017. “Modeling the Construction Risk Ratings to Estimate the Contingency in Highway Projects.” J. Constr. Eng. Manag., 143 (8): 04017041. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001334.
Dicks, E. P., and K. R. Molenaar. 2022. “Analysis of Washington State Department of Transportation Risks.” Transp. Res. Rec., 03611981221109599. SAGE Publications Inc. https://doi.org/10.1177/03611981221109599.
Diekmann, J. E. 1992. “Risk analysis: lessons from artificial intelligence.” Int. J. Proj. Manag., 10 (2): 75–80. https://doi.org/10.1016/0263-7863(92)90059-I.
Dikmen, I., M. Birgonul, and G. Atasoy. 2007. “Using cognitive MAPS for risk modelling in construction projects.” CME 2007 Conf. - Constr. Manag. Econ. Past Present Future, 1461–1470.
El-Sayegh, S. M., and M. H. Mansour. 2015. “Risk Assessment and Allocation in Highway Construction Projects in the UAE.” J. Manag. Eng., 31 (6): 04015004. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000365.
Erfani, A., Z. Ma, Q. Cui, and G. B. Baecher. 2023. “Ex Post Project Risk Assessment: Method and Empirical Study.” J. Constr. Eng. Manag., 149 (2): 04022174. American Society of Civil Engineers. https://doi.org/10.1061/JCEMD4.COENG-12588.
Eybpoosh, M., I. Dikmen, and M. Talat Birgonul. 2011. “Identification of Risk Paths in International Construction Projects Using Structural Equation Modeling.” J. Constr. Eng. Manag., 137 (12): 1164–1175. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000382.
Fang, C., and F. Marle. 2012. “A simulation-based risk network model for decision support in project risk management.” Decis. Support Syst., 52 (3): 635–644. https://doi.org/10.1016/j.dss.2011.10.021.
Gabus, A., and E. Fontela. 1972. “World problems, an invitation to further thought within the framework of DEMATEL.” Battelle Geneva Res. Cent. Geneva Switz., 1 (8).
Gao, N., A. Touran, and Q. Wang. 2022. “Mining and Visualizing Cost and Schedule Risks from News Articles with NLP and Network Analysis.” 314–324. American Society of Civil Engineers. https://doi.org/10.1061/9780784483961.034.
Goh, C. S., H. Abdul-Rahman, and Z. Abdul Samad. 2013. “Applying Risk Management Workshop for a Public Construction Project: Case Study.” J. Constr. Eng. Manag., 139 (5): 572–580. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000599.
Iqbal, S., R. M. Choudhry, K. Holschemacher, A. Ali, and J. Tamošaitienė. 2015. “Risk management in construction projects.” Technol. Econ. Dev. Econ., 21 (1): 65–78. https://doi.org/10.3846/20294913.2014.994582.
Isah, M. A., and B.-S. Kim. 2021. “Assessment of Risk Impact on Road Project Using Deep Neural Network.” KSCE J. Civ. Eng. https://doi.org/10.1007/s12205-021-1312-2.
Molenaar, K., S. Anderson, C. Schexnayder, and Transportation Research Board, National Cooperative Highway Research Program, and Transportation Research Board. 2010. Guidebook on Risk Analysis Tools and Management Practices to Control Transportation Project Costs. 14391. Washington, D.C.: National Academies Press.
Molenaar, K. R., J. A. Curtis, D. D’Angelo, and J. S. Dailey. 2012. Transportation Risk Management: International Practices for Program Development and Project Delivery. 80. Stafford, VA: American Trade Initiatives.
Molenaar, K. R., J. E. Diekmann, and D. B. Ashley. 2006. Risk Assessment and Allocation for Highway Construction Management. 73.
Tavakolan, M., and H. Etemadinia. 2017. “Fuzzy Weighted Interpretive Structural Modeling: Improved Method for Identification of Risk Interactions in Construction Projects.” J. Constr. Eng. Manag., 143 (11): 04017084. American Society of Civil Engineers. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001395.
Tran, D. Q., and K. R. Molenaar. 2014. “Exploring critical delivery selection risk factors for transportation design and construction projects.” Eng. Constr. Archit. Manag., 21 (6): 631–647. Emerald Group Publishing Limited. https://doi.org/10.1108/ECAM-11-2013-0103.
WSDOT (Washington State Department of Transportation). 2018. Project Risk Management Guide. Washington State Department of Transportation.
Zhao, Y., W. Chen, Z. Yang, Z. Li, and Y. Wang. 2022. “Analysis on risk factors related delay in PCPs.” Eng. Constr. Archit. Manag., ahead-of-print (ahead-of-print). https://doi.org/10.1108/ECAM-12-2021-1119.
Zhu, F., H. Hu, and F. Xu. 2022. “Risk assessment model for international construction projects considering risk interdependence using the DEMATEL method.” PLOS ONE, 17 (5): e0265972. Public Library of Science. https://doi.org/10.1371/journal.pone.0265972.
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Published online: Mar 18, 2024
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