Choice set generation within the generalized extreme value family of discrete choice models

By Joffre Swait. 2001

236 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Transportation

View Paper: https://www.semanticscholar.org/paper/f585ecce6c73e4322bea7059722fd64bc0501a45

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Citations in the corpus

The generalized nested logit model (2001, methodology): “Section 2 presents the formulation, description and estimation approach for the GNL model and shows that the NL, PCL, CNL, OGEV and PD models are special cases.”
Normalization and correlation of crossnested logit models (2007, methodology): “In another application, Swait (2001) suggests a CNL structure to model the choice set generation process.”
The Network GEV model (2002, methodology): “Recent research on the Cross-Nested logit model (Small, 1987, Vovsha, 1997, Vovsha and Bekhor, 1998, Ben-Akiva and Bierlaire, 1999, Papola, 2000, Bierlaire, 2001a, Wen and Koppelman, 2001, Swait, 2001) has slightly extended the number of GEV models used in practice.”
A method of integrating correlation structures for a generalized recursive route choice model (2016, methodology): “…the nested logit ( Ben-Akiva, 1973 ), the paired combinatorial logit ( Koppelman and Wen, 20 0 0 ), the generalized nested logit ( Wen and Koppelman, 2001 ), the ordered MEV model ( Small, 1987 ), the cross-nested logit model ( Vovsha and Bekhor, 1998 ) and the GenL model ( Swait, 2001 ) models.”
A MIXED SPATIALLY CORRELATED LOGIT MODEL: FORMULATION AND APPLICATION TO RESIDENTIAL CHOICE MODELING (2004, methodology): “Swait (2001), independently, proposed a similar structure, which he labels the choice set Generation Logit (GenL) model.”
A General and Operational Representation of Generalised Extreme Value Models (2006, methodology): “Recent research on the (two-level) cross-nested logit model (Small, 1987; Vovsha, 1997; Vovsha and Bekhor, 1998; Ben-Akiva and Bierlaire, 1999; Papola, 2004; Bierlaire, in press; Wen and Koppelman, 2001; Swait, 2001 ) has slightly extended the number of GEV models used in practice.”
Choice set generation in spatial contexts: a review (2009, methodology): “Later Swait (2001) presented an interesting feature that the choice set probabilities need make no use of exogenous information, but are instead taste-driven.”
Ridesourcing systems: A framework and review (2019, methodology): “Influential work on general models of travel mode choice include Ben-Akiva et al. (1985), Bhat (1995), Swait (2001), Wen and Koppelman (2001), Bhat (2003) , and Train (2009) .”
BIOGEME: a free package for the estimation of discrete choice models (2003, methodology): “Recently, research on the Cross-Nested logit model (Small, 1987, Vovsha, 1997, Vovsha and Bekhor, 1998, Ben-Akiva and Bierlaire, 1999, Papola, 2000, Bierlaire, 2001, Wen and Koppelman, 2001, Swait, 2001) has extended the number of GEV models used in practice.”
Recent Progress on Endogeneity in Choice Modeling (2005, methodology): “This approach has been widely used to estimate revealed-preference choice data models in transportation, geography, marketing, and environmental valuation (Swait and Ben-Akiva, 1987; Horowitz, 1991; Ben-Akiva and Boccara, 1995; Haab and Hicks, 1997; Dai, 1998; Swait, 2001; Basar and Bhat, 2004).”
Numerical Analysis of Effect of Sampling of Alternatives in Discrete Choice Models (2004, methodology): “The analyst can use Equation (3) with any sampling mechanism s/he chooses, and only has to incorporate an additional variable )|(ln iDqqπ in the utility of each alternative.”
Route choice modeling: past, present and future research directions (2009, background): “Stochastic choice set generation models could capture the latent nature of the considered choice set, and could take inspiration from random constraint approaches (see Swait and Ben-Akiva, 1987; Ben-Akiva and Boccara, 1995; Swait, 2001; Basar and Bhat, 2004).”