Household Vehicle Type Holdings and Usage: An Application of the Multiple Discrete-Continuous Extreme Value (MDCEV) Model

By Chandra R. Bhat, S. Sen. 2006

283 citations recorded by the source corpus.

Subfields: Renewable Energy, Sustainability and the Environment, Transportation

View Paper: https://www.semanticscholar.org/paper/67d5f3e43f174552e4aa32e0eb85845555c394ec

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In Renewable Energy, Sustainability and the Environment

In Transportation

Citations in the corpus

Modelling the effects of COVID-19 on travel mode choice behaviour in India (2020, background): “Examples include applications to the choice of vehicle type and mileage (Bhat and Sen, 2006), time‐use (Bhat, 2005; Calastri et al., 2020; Enam et al., 2018; Pendyala and Bhat, 2004; Srinivasan and Bhat, 2005); multi‐buy alcohol promotions (Lu et al., 2017), patterns of social interaction between…”
The Impact of Demographics, Built Environment Attributes, Vehicle Characteristics, and Gasoline Prices on Household Vehicle Holdings and Use (2009, background): “…(Train and Lohrer, 1982; Train, 1986), number of vehicles owned and usage (Golob and Wissen, 1989; Jong, 1990), and vehicle body type and usage (Bhat and Sen, 2006). travel perceptions on vehicle type choice (Choo and Mokhtarian, 2004), while another recent study recognized the impact of the…”
The multiple discrete-continuous extreme value (MDCEV) model : Role of utility function parameters, identification considerations, and model extensions (2008, methodology): “The data set used for these illustrations is the same as that used by Bhat and Sen (2006), and is drawn from the 2000 San Francisco Bay Area Travel Survey (BATS).”
Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, methodology): “For instance, it is derived from the basic random utility theory with closed-form probability expressions and is practical even for situations with a large number of discrete consumption alternatives (Bhat & Sen, 2006; Bhat et al., 2009).”
A discrete–continuous model of households’ vehicle choice and usage, with an application to the effects of residential density (2008, background): “E-mail: hfang@uci.edu.”
Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types (2015, background): “…has been considerable research into modeling consumer choice of vehicle types, particularly in the context of the emergence of hybrid and electric vehicles in the marketplace (e.g., Bhat and Sen, 2006; Bunch et al, 1993; Ewing and Sarigollu, 2000; Shin et al., 2012; van Rijnsoever et al, 2013).”
How Consumers Value Fuel Economy: A Literature Review (2010, methodology): “…Price U.S., 2002 90% Espey & Nair (2005) Hedonic Price U.S., 2001 109% Arguea, Hsiao & Taylor (1994) Hedonic Price U.S., 1969 to 1986 3% to 46% xii Bhat & Sen (2006) Sallee, West & Fan (2010) Choice model Price Regression San Francisco Bay Area, 2000 Aggregate U.S., Used Cars, 1978- 2009…”
Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China (2015, methodology): “…value (MDCEV) model used to model vehicle type and use in cases where households may hold multiple vehicle types with different usage patterns (Bhat and Sen, 2006; Shin et al., 2012).6 Over time, the literature has expanded beyond examining vehicle attributes to stress the importance of…”