Trade-Off Analysis Approach for Multiobjective Transportation Investment Decision Making
Publication: Journal of Transportation Engineering
Volume 141, Issue 3
Abstract
Transportation planning is multidimensional, complex, and dynamic in nature. The decision-making process often involves multiple stakeholders with conflicting preferences. Effective decision outcomes can only be reached by explicitly addressing such conflicts. Over the last several decades, optimization techniques have been used for project-selection decisions to achieve maximized overall returns on investments. The existing methods for project selection capable of conducting trade-off analyses mainly focus on assessing trade-offs between project construction time, duration, and cost, as well as swapping between transportation agency costs and user costs. However, they have largely not addressed impacts on the overall economic returns by changing a few important decision factors such as differentiating relative importance of various transportation performance goals and measures, and different types of highway facilities, and further relaxing the budget constraints by management programs dealing with physical facilities and system operations while keeping the total budget unchanged. This paper introduces a trade-off analysis approach that uses a multicommodity minimum-cost network (MMCN) model to establish traffic details for the transportation network needed for estimating the benefits of implementing a single project or multiple projects jointly, and a surrogate worth trade-off (SWT) method for multiobjective project selection based on the estimated project benefits. A computational study has revealed that the proposed trade-off approach can generate noninferior solutions and increase the total benefits by 18–20%.
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Acknowledgments
The authors acknowledge the ITA, CMAP, and Chicago DOT for data support of this research. The researchers are grateful to Argonne National Laboratory for providing supercomputing facilities to conduct the computational analysis.
References
Abbasnia, R., Afshar, A., and Eshtehardian, E. (2008). “Time-cost trade-off problem in construction project management, based on fuzzy logic.” J. Appl. Sci., 8(22), 4159–4165.
Ahuja, R. K., Magnanti, T. L., and Orlin, L. B. (1993). Network flows: Theory, algorithms, and applications, Prentice Hall, Upper Saddle River, NJ.
Bai, Q., Labi, S., and Sinha, K. C. (2011). “Trade-off analysis for multiobjective optimization in transportation asset management by generating pareto frontiers using extreme points nondominated sorting genetic algorithm II.” J. Transp. Eng., 798–808.
Cambridge Systematics. (2004). Development of a multimodal tradeoffs methodology for use in statewide transportation planning, Oakland, CA.
Cohon, J. L., and Mark, D. H. (1975). “A review and evaluation of multiobjective programming techniques.” Water Resour. Res., 11(2), 208–220.
El-kholy, A. M. (2013). “Time-cost tradeoff analysis considering funding variability and time uncertainty.” Alexandria Eng. J., 52(1), 113–121.
Feng, C. W., Liu, L., and Burns, S. A. (2000). “Stochastic construction time-cost trade-off analysis.” J. Comput. Civ. Eng., 117–126.
Haimes, Y. Y. (1998). Risk modeling, assessment, and management, Wiley, New York.
Haimes, Y. Y., and Hall, W. A. (1974). “Multiobjective in water resource systems analysis: The surrogate worth tradeoff method.” Water Resour. Res., 10(4), 615–624.
Houmb, S. H., Georg, G., France, R., Bieman, J., and Jurjens, J. (2005). “Cost-benefit trade-off analysis using BBN for aspect-oriented risk-driven development.” Proc., 10th IEEE Int. Conf. Engineering of Complex Computer Systems, 195–204.
Korte, B., and Vygen, J. (2002). Combinatorial optimization: Theory and algorithms, Springer, New York.
Lee, E. B., Kim, C., Ghafari, N., and Brink, G. (2011a). “Value analysis using performance attributes matrix for highway rehabilitation projects.”, Transportation Research Board, Washington, DC, 34–43.
Lee, E. B., Kim, C., and Harvey, J. T. (2011b). “Selection of pavement for highway rehabilitation based on life-cycle cost analysis.”, Transportation Research Board, Washington, DC, 23–32.
Li, Z. (2009). “Stochastic model and O(N2) algorithm for highway investment decision-making under budget uncertainty.” J. Transp. Eng., 371–379.
Li, Z., Kaul, H., Kapoor, S., Veliou, E., and Zhou, B. (2012a). “A new model for transportation investment decisions considering project interdependencies.”, Transportation Research Board, Washington, DC, 36–46.
Li, Z., and Madanu, S. (2009). “Highway project-level life-cycle benefit/cost analysis under certainty, risk, and uncertainty: A methodology with case study.” ASCE J. Transp. Eng., 516–526.
Li, Z., Madanu, S., Wang, Y., Abbas, M., and Zhou, B. (2010). “A heuristic approach for selecting highway investment alternatives.” Wiley J. Comput. Aided Civ. Infrastruct. Eng., 25(6), 427–439.
Li, Z., Roshandeh, A. M., Zhou, B., and Lee, S. H. (2013). “Optimal decision-making of interdependent tollway capital investments incorporating risk and uncertainty.” J. Transp. Eng., 686–696.
Li, Z., Zavattero, D., Wies, K., Son, Y.-J., and Levinson, H. S. (2012b). “Development and application of the TRANSIMS toolbox for transportation operations management in and around Chicago central area.” Phase I Final Rep., Federal Highway Administration, U.S. Dept. of Transportation, Washington, DC.
Moussourakis, J., and Haksever, C. (2004). “Flexible model for time/cost tradeoff problem.” J. Constr. Eng. Manage., 307–314.
Nemhauser, G. L., and Wolsey, L. A. (1999). Integer and combinatorial optimization, Wiley, New York.
Orabi, W., and El-Rayes, K. (2011). “Optimizing the rehabilitation efforts of aging transportation networks.” J. Constr. Eng. Manage., 529–539.
Senouci, A. B., and Eldin, N. N. (2004). “Use of genetic algorithm in resource scheduling of construction projects.” ASCE J. Constr. Eng. Manage., 869–877.
Vahidi, R. (2013). “Do tradeoff models have what it takes to make a real tradeoff?” Procedia Social Behav. Sci., 74, 71–80.
Yang, I.-T. (2005). “Chance-constrained time-cost tradeoff analysis considering funding variability.” J. Constr. Eng. Manage., 1002–1012.
Zheng, D. X. M., Ng, T. S. T., and Kumaraswamy, M. M. (2004). “Applying a genetic algorithm-based multiobjective approach for time-cost optimization.” J. Constr. Eng. Manage., 168–176.
Zhou, B., Li, Z., Patel, H., Roshandeh, A. M., and Wang, Y. (2014). “Risk-based two-step optimization model for highway transportation investment decision-making.” J. Transp. Eng., 04014007.
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© 2014 American Society of Civil Engineers.
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Received: Aug 5, 2013
Accepted: Sep 10, 2014
Published online: Oct 17, 2014
Published in print: Mar 1, 2015
Discussion open until: Mar 17, 2015
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