Sampling of Alternatives for Route Choice Modeling

By Emma Frejinger, Michel Bierlaire, Moshe E. Ben-Akiva. 2009

298 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability, Transportation

View Paper: https://www.semanticscholar.org/paper/e306c9971a0e4a2868e273cde03d301cbc711127

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Citations in the corpus

Route choice modeling: past, present and future research directions (2009, methodology): “Granted proper correction for unequal selection probabilities (Frejinger, 2007; Bovy et al., 2009; Frejinger et al., 2009), stochastically generated choice sets are suitable for model estimation and also for flow prediction, conditional on the definition of a large number of routes that most likely…”
A link based network route choice model with unrestricted choice set (2013, methodology): “(1956), Johnson (1966), Oort (1969) and DeSerpa (1971).”
A nested recursive logit model for route choice analysis (2015, methodology): “Many different algorithms exist for sampling choice sets (for reviews, see e.g. Frejinger et al., 2009, Prato, 2009) and they all correspond to importance sampling protocols where paths have non-equal probabilities of being sampled.”
Analysis of Implicit Choice Set Generation Using a Constrained Multinomial Logit Model (2010, background): “0 otherwise. ( 6 ) The choice model can be equivalently written as”
Modeling Micro-Level Crime Location Choice: Application of the Discrete Choice Framework to Crime at Places (2010, unknown): “There are various cases in the literature that have followed this approach (Chattopadhyay 2000; Duncombe et al. 2001; Frejinger et al. 2009; Li et al. 2005; Nerella and Bhat 2004).”
STRATEGIC SAMPLING FOR LARGE CHOICE SETS IN ESTIMATION AND APPLICATION (2012, methodology): “Others have turned to importance sampling to generate choice sets for model estimation (see, e.g., BenAkiva and Lerman 1985, Ben-Akiva and Bowman 1998, Frejinger et al. 2009) and application (see, e.g., Ben-Akiva and Watanatada 1981).”