A statistical approach to estimating acceptance of electric vehicles and electrification of personal transportation

By M. Tamor, Chris Gearhart, C. Soto. 2013

153 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/06dc69501470d0e045a459715029cd2fcb7b901b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Makena Coffman
2. Roxana J. Javid
3. Ali Nejat
4. P. Bernstein
5. Sherilyn Wee
6. S. Hardman

In Electrical and Electronic Engineering

1. Makena Coffman
2. Roxana J. Javid
3. Ali Nejat
4. P. Bernstein
5. Sherilyn Wee
6. S. Hardman

In Renewable Energy, Sustainability and the Environment

1. Makena Coffman
2. Roxana J. Javid
3. Ali Nejat
4. P. Bernstein
5. Sherilyn Wee
6. S. Hardman

Citations in the corpus

• A comprehensive model of regional electric vehicle adoption and penetration (2017, background): “In terms of dataset, either small (Egbue and Long, 2012; Khan and Kockelman, 2012; Türnau, 2015) or large (Higgins et al., 2012; Tamor et al., 2013) surveys or questionnaires from conventional car buyers are used.”
• Electric vehicles revisited: a review of factors that affect adoption (2017, background): “In addition, Tamor, Gearhart, and Soto (2013) concluded through an EV cost-payback model for Minneapolis, with a particular consideration for trip chaining and range, that PHEVs will be more accepted than BEVs.”