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Driving the Future: A Management Flight Simulator of the US Automobile Market

Author

Listed:
  • David R. Keith
  • Sergey Naumov
  • John Sterman

Abstract

Background. A significant gap exists in the United States between ambitious regulatory goals requiring firms to introduce hybrid and electric vehicles, and consumer adoption of these technologies to date. However, the interventions required to close this gap are not obvious due to the complex feedbacks and time delays that govern alternative fuel vehicle (AFV) diffusion . Purpose. The purpose of this article is to introduce Driving the Future (DtF) , a free, web-based management flight simulator to explore the effects of automaker strategies and public policies on the US automotive market. Method. We develop a behavioral, dynamic model portraying multiple automobile and fuel types, fueling infrastructure, and consumer choices, enabling users to rapidly experiment with how a wide array of decisions and assumptions shape the dynamics of AFV diffusion out to 2050. Results. We describe how the simulator can be used to explore various scenarios for AFV adoption, and discuss how the simulator can help improve mental models and decision-making. We present evidence from classroom and online experiments, demonstrating that the simulation is both effective in developing users’ understanding of AFV diffusion dynamics, and enjoyable to use.

Suggested Citation

  • David R. Keith & Sergey Naumov & John Sterman, 2017. "Driving the Future: A Management Flight Simulator of the US Automobile Market," Simulation & Gaming, , vol. 48(6), pages 735-769, December.
  • Handle: RePEc:sae:simgam:v:48:y:2017:i:6:p:735-769
    DOI: 10.1177/1046878117737807
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    References listed on IDEAS

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    1. John Sterman, 2014. "Interactive web-based simulations for strategy and sustainability: The MIT Sloan LearningEdge management flight simulators, Part II," System Dynamics Review, System Dynamics Society, vol. 30(3), pages 206-231, July.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, Enero-Abr.
    3. Diamond, David, 2009. "The impact of government incentives for hybrid-electric vehicles: Evidence from US states," Energy Policy, Elsevier, vol. 37(3), pages 972-983, March.
    4. Alan Greenspan & Darrel Cohen, 1999. "Motor Vehicle Stocks, Scrappage, And Sales," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 369-383, August.
    5. Hauser, John R & Wernerfelt, Birger, 1990. "An Evaluation Cost Model of Consideration Sets," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 393-408, March.
    6. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    7. Sperling, Daniel & Gordon, Deborah, 2009. "Two Billion Cars: Driving Toward Sustainability," OUP Catalogue, Oxford University Press, number 9780195376647.
    8. Gallagher, Kelly Sims & Muehlegger, Erich, 2011. "Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 1-15, January.
    9. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    10. Jeroen Struben & John D. Sterman, 2008. "Transition Challenges for Alternative Fuel Vehicle and Transportation Systems," Post-Print hal-02312277, HAL.
    11. John Sterman, 2014. "Interactive web-based simulations for strategy and sustainability: The MIT Sloan LearningEdge management flight simulators, Part I," System Dynamics Review, System Dynamics Society, vol. 30(1-2), pages 89-121, January.
    12. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
    13. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
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    1. J.Tuomas Harviainen, 2017. "Gaming, Simulation/Gaming, and Simulation & Gaming," Simulation & Gaming, , vol. 48(6), pages 719-721, December.

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