TY - JOUR
T1 - Driving the Future
T2 - A Management Flight Simulator of the US Automobile Market
AU - Keith, David R.
AU - Naumov, Sergey
AU - Sterman, John
N1 - Publisher Copyright:
© 2017, © The Author(s) 2017.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
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U2 - 10.1177/1046878117737807
DO - 10.1177/1046878117737807
M3 - Article
AN - SCOPUS:85033496034
SN - 1046-8781
VL - 48
SP - 735
EP - 769
JO - Simulation and Gaming
JF - Simulation and Gaming
IS - 6
ER -