Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices

McCollum, David L.; Wilson, Charlie; Pettifor, Hazel; Ramea, Kalai; Krey, Volker; Riahi, Keywan; Bertram, Christoph; Lin, Zhenhong; Edelenbosch, Oreane Y.; Fujisawa, Sei

doi:10.1016/j.trd.2016.04.003

Title: Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices

Journal Article · Tue May 03 00:00:00 EDT 2016 · Transportation Research. Part D, Transport and Environment

DOI:https://doi.org/10.1016/j.trd.2016.04.003· OSTI ID:1319234

McCollum, David L. ^[1]; Wilson, Charlie ^[2]; Pettifor, Hazel ^[2]; Ramea, Kalai ^[3]; Krey, Volker ^[4]; Riahi, Keywan ^[5]; Bertram, Christoph ^[6]; Lin, Zhenhong ^[7]; Edelenbosch, Oreane Y. ^[8]; Fujisawa, Sei ^[9]

International Institute for Applied Systems Analysis (IIASA), Laxenburg (Austria); Univ. of Tennessee, Knoxville, TN (United States)
Univ. of East Anglia (UEA), Norwich (United Kingdom)
Univ. of California, Davis, CA (United States)
International Institute for Applied Systems Analysis (IIASA), Laxenburg (Austria)
International Institute for Applied Systems Analysis (IIASA), Laxenburg (Austria); Graz Univ. of Technology, Graz (Austria)
Potsdam Institute for Climate Impact Research, Potsdam (Germany)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
PBL Netherlands Environmental Assessment Agency, Bilthoven (The Netherlands)
International Institute for Applied Systems Analysis (IIASA), Laxenburg (Austria); FUJISAWA Corp., Gunma (Japan)

A large body of transport sector-focused research recognizes the complexity of human behavior in relation to mobility. Yet, global integrated assessment models (IAMs), which are widely used to evaluate the costs, potentials, and consequences of different greenhouse gas emission trajectories over the medium-to-long term, typically represent behavior and the end use of energy as a simple rational choice between available alternatives, even though abundant empirical evidence shows that real-world decision making is more complex and less routinely rational. This paper demonstrates the value of incorporating certain features of consumer behavior in IAMs, focusing on light-duty vehicle (LDV) purchase decisions. An innovative model formulation is developed to represent heterogeneous consumer groups with varying preferences for vehicle novelty, range, refueling/recharging availability, and variety. The formulation is then implemented in the transport module of MESSAGE-Transport, a global IAM, although it also has the generic flexibility to be applied in energy-economy models with varying set-ups. Comparison of conventional and behaviorally-realistic model runs with respect to vehicle purchase decisions shows that consumer preferences may slow down the transition to alternative fuel (low-carbon) vehicles. Consequently, stronger price-based incentives and/or non-price based measures may be needed to transform the global fleet of passenger vehicles, at least in the initial market phases of novel alternatives. Otherwise, the mitigation burden borne by other transport sub-sectors and other energy sectors could be higher than previously estimated. Moreover, capturing behavioral features of energy consumers in global IAMs increases their usefulness to policy makers by allowing a more realistic assessment of a more diverse suite of policies.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). National Transportation Research Center (NTRC)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1319234

Journal Information:: Transportation Research. Part D, Transport and Environment, Vol. 1, Issue 1; ISSN 1361-9209

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 107 works

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