Market models for predicting PHEV adoption and diffusion
dc.contributor.author | McManus, W. S. | en_US |
dc.contributor.author | Senter, Richard, Jr. | en_US |
dc.date.accessioned | 2009-11-19T19:04:57Z | |
dc.date.available | NO_RESTRICTION | en_US |
dc.date.available | 2009-11-19T19:04:57Z | |
dc.date.issued | 2009-07 | |
dc.identifier | 102399 | en_US |
dc.identifier.other | UMTRI-2009-37 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/64436 | |
dc.description.abstract | This is the final report on market models for predicting Plug-In Hybrid Electric Vehicles (PHEV) adoption. The work was one of the tasks carried out by the University of Michigan on the technical challenges of PHEVs and impacts to the U.S. power system. We first examine benchmark market models with fixed saturation levels. On balance, we conclude that their weaknesses dominate their strengths. We then examine two alternative approaches to predicting PHEV adoption and diffusion using models without a fixed saturation level: Centrone et al. (2007) and the consideration-purchase model (suggested by Struben and Sterman (2008)). The consideration-purchase model makes the market behavior of consumers the focus of attention, and it is our preferred market model. | en_US |
dc.description.sponsorship | U.S. Department of Energy | en_US |
dc.format.extent | 32 | en_US |
dc.format.extent | 1910394 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | en_US |
dc.publisher | University of Michigan, Ann Arbor, Transportation Research Institute | en_US |
dc.subject.other | Hybrid Vehicles | en_US |
dc.subject.other | Consumer Behavior | en_US |
dc.subject.other | Predictive Modeling | en_US |
dc.subject.other | Electric Vehicles | en_US |
dc.title | Market models for predicting PHEV adoption and diffusion | en_US |
dc.title.alternative | Market models for predicting plug-in hybrid electric vehicles adoption and diffusion | en_US |
dc.type | Technical Report | en_US |
dc.subject.hlbsecondlevel | Transportation | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/64436/1/102399.pdf | |
dc.owningcollname | Transportation Research Institute (UMTRI) |
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