EconPapers    
Economics at your fingertips  
 

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

David R. Keith, Sergey Naumov and John Sterman

Simulation & Gaming, 2017, vol. 48, issue 6, 735-769

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.

Keywords: alternative fuel vehicles; management flight simulator; simulation; strategy; policy analysis (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1046878117737807 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:simgam:v:48:y:2017:i:6:p:735-769

DOI: 10.1177/1046878117737807

Access Statistics for this article

More articles in Simulation & Gaming
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:simgam:v:48:y:2017:i:6:p:735-769