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

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Improving the behavioral realism of global integrated assessment models.pdf

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Improving the behavioral realism of global integrated assessment models Supp_Material.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/52421 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/52421 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/52421 archive 353 disk0/00/01/30/86 2016-05-04 06:36:37 2021-08-27 17:26:55 2016-05-04 06:36:37 article show McCollum D. 8484 Wilson C. Pettifor H. Ramea K. Krey V. 8099 0000-0003-0307-3515 Riahi K. 1696 0000-0001-7193-3498 Bertram C. Lin Z. Edelenbosch O.Y. Fujisawa S. al1654 Improving the behavioral realism of global integrated assessment models: An application to consumers’ vehicle choices pub prog_ene Consumer choice; Human behavior; Transport; Light-duty vehicles; Climate change mitigation 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. More generally, 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. 2017-08-03 published Elsevier 10.1016/j.trd.2016.04.003 55, August 2017, Pages 322-342 203 166 250 2690 public Transportation Research Part D: Transport and Environment 55 322-342 TRUE 1361-9209 FALSE no info:eu-repo/semantics/article