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Title: Spatial effects on hybrid electric vehicle adoption

This paper examines spatial effects on hybrid-electric vehicle (HEV) adoption. This is in contrast to most existing analyses, which concentrate on analyzing socioeconomic factors and demographics. This paper uses a general spatial model to estimate the strength of ‘neighbor effects’ on HEV adoption—namely that each consumer’s HEV-adoption decision can be influenced by the HEV-adoption decisions of geographic neighbors. We use detailed census tract-level demographic data from the 2010 United States Census and the 2012 American Community Survey and vehicle registration data collected by the Ohio Bureau of Motor Vehicles. We find that HEV adoption exhibits significant spatial effects. We further conduct a time-series analysis and show that historical HEV adoption has a spatial effect on future adoption. Lastly, these results suggest that HEVs may appear in more dense clusters than models that do not consider spatial effects predict.
Authors:
 [1] ;  [1] ; ORCiD logo [1]
  1. The Ohio State Univ., Columbus, OH (United States)
Publication Date:
Grant/Contract Number:
PI0000012
Type:
Accepted Manuscript
Journal Name:
Transportation Research. Part D, Transport and Environment
Additional Journal Information:
Journal Volume: 52; Journal Issue: PA; Journal ID: ISSN 1361-9209
Publisher:
Elsevier
Research Org:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org:
USDOE Office of International Affairs (IA)
Contributing Orgs:
SMART@CAR Consortium
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; hybrid electric vehicle; technology adoption; spatial effects
OSTI Identifier:
1346139
Alternate Identifier(s):
OSTI ID: 1416755

Liu, Xiaoli, Roberts, Matthew C., and Sioshansi, Ramteen. Spatial effects on hybrid electric vehicle adoption. United States: N. p., Web. doi:10.1016/j.trd.2017.02.014.
Liu, Xiaoli, Roberts, Matthew C., & Sioshansi, Ramteen. Spatial effects on hybrid electric vehicle adoption. United States. doi:10.1016/j.trd.2017.02.014.
Liu, Xiaoli, Roberts, Matthew C., and Sioshansi, Ramteen. 2017. "Spatial effects on hybrid electric vehicle adoption". United States. doi:10.1016/j.trd.2017.02.014. https://www.osti.gov/servlets/purl/1346139.
@article{osti_1346139,
title = {Spatial effects on hybrid electric vehicle adoption},
author = {Liu, Xiaoli and Roberts, Matthew C. and Sioshansi, Ramteen},
abstractNote = {This paper examines spatial effects on hybrid-electric vehicle (HEV) adoption. This is in contrast to most existing analyses, which concentrate on analyzing socioeconomic factors and demographics. This paper uses a general spatial model to estimate the strength of ‘neighbor effects’ on HEV adoption—namely that each consumer’s HEV-adoption decision can be influenced by the HEV-adoption decisions of geographic neighbors. We use detailed census tract-level demographic data from the 2010 United States Census and the 2012 American Community Survey and vehicle registration data collected by the Ohio Bureau of Motor Vehicles. We find that HEV adoption exhibits significant spatial effects. We further conduct a time-series analysis and show that historical HEV adoption has a spatial effect on future adoption. Lastly, these results suggest that HEVs may appear in more dense clusters than models that do not consider spatial effects predict.},
doi = {10.1016/j.trd.2017.02.014},
journal = {Transportation Research. Part D, Transport and Environment},
number = PA,
volume = 52,
place = {United States},
year = {2017},
month = {3}
}