Generalized random utility model
By Joan L. Walker, Moshe E. Ben-Akiva. Mathematical Social Sciences, 2002
594 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Decision Sciences
View Paper: https://www.semanticscholar.org/paper/cda5acff3c68b9c998f72b3baa5e8b5781676fd6
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
- Stephane Hess
- Chandra R. Bhat
- Ricardo A. Daziano
- Denis Bolduc
- Caspar G. Chorus
- Moshe E. Ben-Akiva
- Maria Kamargianni
- Amalia Polydoropoulou
In General Decision Sciences
- Stephane Hess
- Caspar G. Chorus
- Ricardo A. Daziano
- Yutaka Motoaki
- Moshe E. Ben-Akiva
- Maya Abou-Zeid
- Henri Kuokkanen
- William Sun
Citations in the corpus
- Random Regret Minimization: An Overview of Model Properties and Empirical Evidence (2012, methodology): “…axioms (Small and Rosen, 1981), most alternative models have aimed at extending the family of so-called linear-additive RUM models to incorporate a richer representation of behaviour (e.g. Walker and Ben-Akiva, 2002; Zhang et al., 2004), rather than proposing completely different model structures.”
- Latent lifestyle preferences and household location decisions (2007, unknown): “(See Gopinath 1995; Walker 2001; Ben-Akiva et al. 2002; Walker and Ben-Akiva 2002, for methods associated with these extensions).”
- Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms (2014, background): “See Gopinath (1995), Walker (2001), Boxall and Adamowicz (2002), Greene and Hensher (2003), Provencher and Moore (2006), Walker and Ben-Akiva (2002), and Ben-Akiva et al. (2002) for examples andmore on latent class and related models.”
- Incorporating pro-environmental preferences towards green automobile technologies through a Bayesian hybrid choice model (2013, background): “Specifically, HCMs expand on discrete choice models by considering the following important extensions (Walker and Ben-Akiva 2002, see Figure 1): heterogeneity through flexible error structures (such as the use of mixed logit (MMNL)), the combination of revealed (RP) and stated preference (SP) data,…”
- Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour (2011, background): “Attitudes are formed over time and are affected by experience and external factors including socio-economic characteristics (Walker and Ben-Akiva 2002).”
- On the (im-)possibility of deriving transport policy implications from hybrid choice models (2014, background): “Starting with seminal work by Walker and Ben-Akiva (2002) and colleagues, hybrid choice models (or: integrated discrete choice latent variable models) have indeed become a trend lately.”
- The effect of social comparisons on commute well-being (2011, methodology): “The HCM has been developed to enrich the behavioral realism of discrete choice models by accounting for latent factors such as perceptions, attitudes, and decision protocols or employing more flexible error structures.”
- A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand (2015, methodology): “(2014) discuss the integration of discrete choice models of cycling decisions with subjective (latent) factors, using hybrid choice models (Walker and Ben-Akiva, 2002; Ben-Akiva et al., 2002; see also Bhat et al., 2015 and Kamargianni et al., 2015).”
- Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice (2014, background): “For a more general treatment the reader is referred to Ashok et al. (2002); Walker and Ben-Akiva (2002), and Bolduc et al. (2005).”