Incorporating pro-environmental preferences towards green automobile technologies through a Bayesian hybrid choice model
By Ricardo A. Daziano, Denis Bolduc. 2013
260 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment, Transportation
View Paper: https://www.semanticscholar.org/paper/3b967a7c3833517c2ce9a639b7308806b8fec014
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Naveen Eluru
- Sabreena Anowar
- Subodh K. Dubey
- Chandra R. Bhat
- L. Miranda-Moreno
- Mikoaj Czajkowski
- Maria Kamargianni
- André Hackbarth
In Renewable Energy, Sustainability and the Environment
- Elisabetta Cherchi
- J. Bailey
- Naveen Eluru
- L. Miranda-Moreno
- Sabreena Anowar
- André Hackbarth
- Reinhard Madlener
- John Axsen
In Transportation
- Sabreena Anowar
- Naveen Eluru
- L. Miranda-Moreno
- Chandra R. Bhat
- Bert van Wee
- Eric Molin
- J. De Vos
- Maria Kamargianni
Citations in the corpus
- German car buyers’ willingness to pay to reduce CO2 emissions (2012, unknown): “Daziano and Bolduc (2011), who recently analyzed stated car choices made by Canadian consumers, provide stronger evidence for the existence of a gender effect.”
- A New Estimation Approach to Integrate Latent Psychological Constructs in Choice Modeling (2014, methodology): “The MCMC method also becomes very challenging when there are several ordinal indicators of the latent variables in an ICLV model, which is why one would assume Alvarez-Daziano and Bolduc (2013) chose to work with all continuous indicators of latent variables in their study.”
- On the (im-)possibility of deriving transport policy implications from hybrid choice models (2014, background): “Latent variable ‘environmental consciousness’ in the context of an alternative fuel vehicle type choice study (Daziano and Bolduc, 2013).”
- Investigating the subjective and objective factors influencing teenagers’ school travel mode choice – An integrated choice and latent variable model (2015, methodology): “2 Although the number of applications of ICLV models has been on the rise in the last decade (see, for example, Bolduc et al., 2005; Johansson et al., 2006; Temme et al., 2008; Abou-Zeid et al., 2011; Daly et al., 2012; Polydoropoulou et al., 2014; Kamargianni and Polydoropoulou, 2013; Alvarez-Dazia”
- Preference and lifestyle heterogeneity among potential plug-in electric vehicle buyers (2015, background): “, 2014); and linking pro-environmental consciousness to interest in “green” vehicles (Daziano and Bolduc, 2011).”
- A long panel survey to elicit variation in preferences and attitudes in the choice of electric vehicles (2014, background): “A few papers (Bolduc et al. 2008; Daziano and Chiew 2012; Daziano and Bolduc 2013; Glerum et al. 2014) have studied attitudes specifically regarding the choice of new car technologies, but there is no evidence of how direct experience with an EV affects individual preferences and attitudes.”
- Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model (2016, background): “making individual changes from current behavior to a more environmental-friendly behavior (Bamberg 2003; Daziano and Bolduc 2013).”
- Social Norms, Morals and Self-interest as Determinants of Pro-environment Behaviours: The Case of Household Recycling (2014, background): “For example, Daziano and Bolduc (2013) include environmental concern as a behavioural variable in the context of a simple multinomial logit model to explain automobile choices. Hess and BeharryBorg (2012) include pro-environmental attitude as a latent variable in a Latent Class model to explain pref”
- Willingness-to-Pay for Alternative Fuel Vehicle Characteristics: A Stated Choice Study for Germany (2014, background): “…subsidies were found to always do (e.g. Adler et al., 2003; Horne et al., 2005; Potoglou and Kanaroglou, 2007; Mau et al., 2008; Axsen et al., 2009; Qian and Soopramanien, 2011; Hess et al., 2012; Hoen and Koetse, 2012; Daziano and Bolduc, 2013; Hackbarth and Madlener, 2013; Glerum et al., 2013).”
- A New Generalized Heterogeneous Data Model (GHDM) to Jointly Model Mixed Types of Dependent Variables (2015, background): “This is particularly the case with the traditional mixture formulation of ICLV models in general, and particularly when there are several latent factors (see Daziano and Bolduc, 2013).”