Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas

By S. Musti, Kara M. Kockelman. 2011

211 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/2f8d4dd830286fbdb484dd80c46c7ad5e15b2292

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

In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

Advances in consumer electric vehicle adoption research: A review and research agenda (2015, background): “Some studies have created models to estimate the demand for EVs based on non-attitudinal and behavioral variables such as oil prices and/or different scenarios of financial incentives (i.e. Musti and Kockelman, 2011).”
Consumer preferences for electric vehicles: a literature review (2017, background): “…(2011); Ziegler (2012) Non-monotonous: Qian and Soopramanien (2013) Income Qian and Soopramanien (2011); Rasouli and Timmermans (2013); PHEV: Musti and Kockelman (2011) Helveston et al. (2015) (US) PHEV: Helveston et al. (2015) (US) Education level Hidrue et al. (2011); Kim et al. (2014)…”
Predicting the Market Potential of Plug-in Electric Vehicles Using Multiday GPS Data (2012, methodology): “For comparison, behavioral microsimulations of Austin households by Musti and Kockelman (2011) suggest just a 19% fleet composition of PHEVs plus HEVs within 25-years.”
A comprehensive model of regional electric vehicle adoption and penetration (2017, background): “The study area could be a country (Krupa et al., 2014; Lieven et al., 2011; Schuitema et al., 2013), a state (Tamor et al., 2013), or a city (Carley et al., 2013; Khan and Kockelman, 2012; Musti and Kockelman, 2011).”
Size matters: How vehicle body type affects consumer preferences for electric vehicles (2017, methodology): “Others have captured different socioeconomic and demographic segments using interaction terms (e.g. Musti and Kockelman (2011), Potoglou and Kanaroglou (2007)), although Liao et al. (2016) argue this approach is explorative and has little theoretical basis.”
Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan (2014, background): “Particularly, PHEVs have recently received considerable attention in the transportation literature (Musti and Kockelman, 2011; Graham-Rowe et al., 2012; Krupa et al., 2014).”
Consumer Preferences for Alternative Fuel Vehicles: A Discrete Choice Analysis (2013, unknown): “In contrast to the studies of, for instance, Dagsvik et al. (2002), Batley et al. (2004), Caulfield et al. (2010), Mabit and Fosgerau (2011), Musti and Kockelman (2011), and Ziegler (2012), we did not find significant effects of, e.g. gender, the number of children or cars in the household, or the…”