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Title: Modeling electric vehicle adoption considering a latent travel pattern construct and charging infrastructure

Journal Article · · Transportation Research. Part D, Transport and Environment
 [1];  [1];  [2]
  1. Univ. of Illinois, Chicago, IL (United States). Dept. of Civil and Materials Engineering
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
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This paper presents a behavioral model of public, revealed preferences (RP) for various types of electric vehicles (EVs) while accounting for a latent (green) travel pattern construct and charging infrastructure characteristics. Specifically, a two-level nested logit (NL) model is estimated to explain households' fuel type choice among five alternatives and three nests: (1) battery electric vehicles (BEVs); (2) hybrid vehicles including hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs); and (3) conventional vehicles including gasoline and diesel vehicles. Further, a latent travel pattern construct which captures a week-long number of trips by non-vehicle travel modes as well as daily vehicle and tollway use is estimated in a structural equation setting and subsequently fed into the NL model. Using a recent RP dataset from the California Household Travel Survey, we identify market segments for alternative fuel types based on households' socio-economic characteristics, built environment factors concerning public plug-in EV (PEV) charging infrastructure characteristics, latent and observable travel behavior factors of a household vehicle's principal driver, and vehicle attributes. The results highlight that the number of public PEV charging stations is only significant for households choosing PHEVs and interestingly insignificant in the BEV utility. Furthermore, the sensitivity analysis of the findings reveals that PHEV users are elastic with respect to household vehicle ownership ratio and the latent green travel pattern construct, while BEV users are inelastic to any explanatory variable.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V); USDOE
Grant/Contract Number:
AC02-06CH11357
OSTI ID:
1559870
Alternate ID(s):
OSTI ID: 1637039
Journal Information:
Transportation Research. Part D, Transport and Environment, Vol. 72, Issue C; ISSN 1361-9209
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 32 works
Citation information provided by
Web of Science

Figures / Tables (13)

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
battery electric vehicle
charging infrastructure
latent travel pattern
plug-in hybrid electric vehicle
revealed preferences