Abstract

This paper demonstrates how a combination of qualitative and quantitative approaches following the scenario planning methodology can be used to identify driving forces (drivers) that might influence the future of the transportation system over a 30-year period. A case study of the highway transportation industry in the United States is presented. A causal loop diagram and cross-impact matrix were combined to understand the interactions among the drivers identified through a literature review, and then a hierarchical cluster analysis was performed to determine how the drivers could be grouped to understand their behaviors in the future. These behaviors were described in a baseline scenario and in six multidriver scenarios representing alternative futures. Scenarios were used to determine key implications for transportation agencies when addressing underlying challenges and potential opportunities which the transportation industry might entertain. The authors showed how agencies may use these scenarios to assess the performance of their plans or assumptions against potentially radical shifts in the future and develop strategies that could make the transportation system resilient to a wide variety of possible future conditions.

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Acknowledgments

The authors thank all the subject matter experts who contributed their expertise and time to refine this research. This material is also based upon work supported by the National Cooperative Highway Research Program under Project Series No. 20-83.

References

Amer, M., T. U. Daim, and A. Jetter. 2013. “A review of scenario planning.” Futures 46: 23–40. https://doi.org/10.1016/j.futures.2012.10.003.
Armstrong, J. S. 2007. Principles of forecasting: A handbook for researchers and practitioners. New York: Springer.
Asan, U., C. Erhan Bozdağ, and S. Polat. 2004. “A fuzzy approach to qualitative cross impact analysis.” Omega 32 (6): 443–458. https://doi.org/10.1016/j.omega.2004.02.006.
Banuls, V. A., and J. L. Salmeron. 2007. “A scenario-based assessment model—SBAM.” Technol. Forecasting Social Change 74 (6): 750–762. https://doi.org/10.1016/j.techfore.2006.05.015.
Bañuls, V. A., M. Turoff, and S. R. Hiltz. 2013. “Collaborative scenario modeling in emergency management through cross-impact.” Technol. Forecasting Social Change 80 (9): 1756–1774. https://doi.org/10.1016/j.techfore.2012.11.007.
Bien, J., and R. Tibshirani. 2011. “Hierarchical clustering with prototypes via minimax linkage.” J. Am. Stat. Assoc. 106 (495): 1075–1084. https://doi.org/10.1198/jasa.2011.tm10183.
Bishop, P., A. Hines, and T. Collins. 2007. “The current state of scenario development: An overview of techniques.” Foresight 9 (1): 5–25. https://doi.org/10.1108/14636680710727516.
Booz Allen Hamilton. 2014. Strategic issues facing transportation, Volume 4: Sustainability as an organizing principle for transportation agencies. Washington, DC: Transportation Research Board.
Caplice, C. G., and S. S. Phadnis. 2013. Strategic issues facing transportation: Scenario planning for freight transportation infrastructure investment. Washington, DC: Transportation Research Board.
Chang, S.-G. 2015. “A structured scenario approach to multi-screen ecosystem forecasting in Korean communications market.” Technol. Forecasting Social Change 94: 1–20. https://doi.org/10.1016/j.techfore.2014.04.005.
Cho, K.-T., and C.-S. Kwon. 2004. “Hierarchies with dependence of technological alternatives: A cross-impact hierarchy process.” Eur. J. Oper. Res. 156 (2): 420–432. https://doi.org/10.1016/S0377-2217(02)00907-4.
Glenn, J. C., and T. J. Gordon. 2009. Futures research methodology version 3.0. Washington, DC: Millennium Project.
Hall, J. W., et al. 2014. “Assessing the long-term performance of cross-sectoral strategies for national infrastructure.” J. Infrastruct. Syst. 20 (3): 04014014. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000196.
Hamilton, M. C., J. H. Lambert, and L. J. Valverde. 2015. “Climate and related uncertainties influencing research and development priorities.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A Civ. Eng. 1 (2): 04015005. https://doi.org/10.1061/AJRUA6.0000814.
Harries, C. 2003. “Correspondence to what? Coherence to what? What is good scenario-based decision making?” Technol. Forecasting Social Change 70 (8): 797–817. https://doi.org/10.1016/S0040-1625(03)00023-4.
ICF International. 2008. “Long range strategic issues facing the transportation industry: Final research plan framework.” Accessed January 31, 2015. http://onlinepubs.trb.org/onlinepubs/archive/NotesDocs/NCHRP20-80(2)_FR.pdf.
John A. Volpe National Transportation Systems Center. 2011. Federal Highway Administration scenario planning guidebook. Washington, DC: Federal Highway Administration, Office of Planning.
Kahn, H., and A. J. Wiener. 1967. The year 2000: A framework for speculation on the next thirty-three years. New York: Macmillan.
Karamouz, M., K. Yaseri, and S. Nazif. 2017. “Reliability-based assessment of lifecycle cost of urban water distribution infrastructures.” J. Infrastruct. Syst. 23 (2): 04016030. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000324.
Kim, A. A., H. Sadatsafavi, S. D. Anderson, and P. Bishop. 2017. “Preparing for the future of transportation construction: Strategies for state transportation agencies.” J. Manage. Eng. 33 (3): 04016045. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000494.
Koike, A., L. Tavasszy, K. Sato, and T. Monma. 2012. “Spatial incidence of economic benefit of road-network investments: Case studies under the usual and disaster scenarios.” J. Infrastruct. Syst. 18 (4): 252–260. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000100.
Lambert, J. H., A. I. Parlak, Q. Zhou, J. S. Miller, M. D. Fontaine, T. M. Guterbock, J. L. Clements, and S. A. Thekdi. 2013a. “Understanding and managing disaster evacuation on a transportation network.” Accid. Anal. Prev. 50: 645–658. https://doi.org/10.1016/j.aap.2012.06.015.
Lambert, J. H., L. Tsang, and A. Thekdi. 2013b. “Risk-informed investment for tropical cyclone preparedness of highway signs, signals, and lights.” J. Infrastruct. Syst. 19 (4): 384–394. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000142.
Landeta, J. 2006. “Current validity of the Delphi method in social sciences.” Technol. Forecasting Social Change 73 (5): 467–482. https://doi.org/10.1016/j.techfore.2005.09.002.
Lindgren, M., and H. Bandhold. 2009. Scenario planning—Revised and updated—The link between future and strategy. London: Palgrave Macmillan.
Nowack, M., J. Endrikat, and E. Guenther. 2011. “Review of Delphi-based scenario studies: Quality and design considerations.” Technol. Forecasting Social Change 78 (9): 1603–1615. https://doi.org/10.1016/j.techfore.2011.03.006.
Parlak, A. I., J. H. Lambert, T. M. Guterbock, and J. L. Clements. 2012. “Population behavioral scenarios influencing radiological disaster preparedness and planning.” Accid. Anal. Prev. 48: 353–362. https://doi.org/10.1016/j.aap.2012.02.007.
Racoviceanu, A. I., and B. W. Karney. 2010. “Life-cycle perspective on residential water conservation strategies.” J. Infrastruct. Syst. 16 (1): 40–49. https://doi.org/10.1061/(ASCE)1076-0342(2010)16:1(40).
Saurin, R., and J. Ratcliffe. 2011. “Using an adaptive scenarios approach to establish strategies for tomorrow’s workplace.” Foresight 13 (4): 46–63. https://doi.org/10.1108/14636681111153968.
Sharma, R. S., and Y. Yang. 2015. “A hybrid scenario planning methodology for interactive digital media.” Long Range Plann. 48 (6): 412–429. https://doi.org/10.1016/j.lrp.2015.09.007.
Teng, K. Y., S. A. Thekdi, and J. H. Lambert. 2012. “Risk and safety program performance evaluation and business process modeling.” IEEE Trans. Syst. Man Cybern. Part A Syst. Humans 42 (6): 1504–1513. https://doi.org/10.1109/TSMCA.2012.2199306.
Thekdi, S. A., and N. N. Joshi. 2016. “Prioritization of capacity investment projects with stakeholder divergence criteria for coordinated infrastructure development.” J. Infrastruct. Syst. 22 (2): 04015019. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000276.
Thekdi, S. A., and J. H. Lambert. 2012. “Decision analysis and risk models for land development affecting infrastructure systems.” Risk Anal. 32 (7): 1253–1269. https://doi.org/10.1111/j.1539-6924.2011.01719.x.
Thekdi, S. A., and J. H. Lambert. 2014. “Quantification of scenarios and stakeholders influencing priorities for risk mitigation in infrastructure systems.” J. Manage. Eng. 30 (1): 32–40. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000170.
Thorisson, H., and J. H. Lambert. 2017. “Multiscale identification of emergent and future conditions along corridors of transportation networks.” Reliab. Eng. Syst. Saf. 167 (7): 255–263. https://doi.org/10.1016/j.ress.2017.06.005.
Thorisson, H., J. H. Lambert, J. J. Cardenas, and I. Linkov. 2017. “Resilience analytics with application to power grid of a developing region.” Risk Anal. 37 (7): 1268–1286. https://doi.org/10.1111/risa.12711.
Transportation Research Board. 2014. Foresight NCHRP Report 750 Series: Informing transportation’s future. Washington, DC: Transportation Research Board.
Tsang, J. L., J. H. Lambert, and R. C. Patev. 2002. “Extreme event scenarios for planning of infrastructure projects.” J. Infrastruct. Syst. 8 (2): 42–48. https://doi.org/10.1061/(ASCE)1076-0342(2002)8:2(42).
Twaddell, H., A. McKeeman, M. Grant, J. Klion, U. Avin, K. Ange, and M. Callahan. 2016. Supporting performance-based planning and programming through scenario planning. Washington, DC: USDOT and Federal Highway Administration.
US Department of Commerce. 2017. “The logistics and transportation industry in the United States.” Accessed March 17, 2017. https://www.selectusa.gov/logistics-and-transportation-industry-united-states.
Van der Heijden, K. 1996. Scenarios: The art of strategic conversation. Hoboken, NJ: Wiley.
Varho, V., and P. Tapio. 2013. “Combining the qualitative and quantitative with the Q2 scenario technique: The case of transport and climate.” Technol. Forecasting Social Change 80 (4): 611–630. https://doi.org/10.1016/j.techfore.2012.09.004.
Varum, C. A., and C. Melo. 2010. “Directions in scenario planning literature—A review of the past decades.” Futures 42 (4): 355–369. https://doi.org/10.1016/j.futures.2009.11.021.
Warfield, J. N. 1989. Societal systems: Planning, policy and complexity. Salinas, CA: Intersystems.
Whittington, A. 2014. “Family vacation 2050: Socially and technologically-driven scenarios of the future of family travel, recreation and tourism.” Tourism Recreation Res. 39 (3): 379–396. https://doi.org/10.1080/02508281.2014.11087007.
You, H., J. H. Lambert, A. F. Clarens, and B. J. McFarlane. 2014. “Quantifying the influence of climate change to priorities for infrastructure projects.” IEEE Trans. Syst. Man Cybern. Syst. 44 (2): 133–145. https://doi.org/10.1109/TSMC.2013.2248709.

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Go to Journal of Infrastructure Systems
Journal of Infrastructure Systems
Volume 25Issue 2June 2019

History

Received: Aug 29, 2017
Accepted: Sep 4, 2018
Published online: Jan 28, 2019
Published in print: Jun 1, 2019
Discussion open until: Jun 28, 2019

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Hessam Sadatsafavi, Ph.D. [email protected]
Postdoctoral Associate, Cornell Institute for Healthy Futures, Dept. of Design and Environmental Analysis, Cornell Univ., Ithaca, NY 14853 (corresponding author). Email: [email protected]; [email protected]
Amy A. Kim, Ph.D., A.M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA 98195. Email: [email protected]
Stuart D. Anderson, Ph.D., M.ASCE [email protected]
P.E.
Professor, Dept. of Civil Engineering, Texas A&M Univ., College Station, TX 77843. Email: [email protected]
Peter Bishop [email protected]
P.E.
Executive Director, Teach the Future, Inc., Houston, TX 77004. Email: [email protected]

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