Latent class nested logit model for analyzing high-speed rail access mode choice

2012 ◽  
Vol 48 (2) ◽  
pp. 545-554 ◽  
Author(s):  
Chieh-Hua Wen ◽  
Wei-Chung Wang ◽  
Chiang Fu
Keyword(s):  
Logit Model ◽  
High Speed ◽  
Latent Class ◽  
Mode Choice ◽  
Nested Logit ◽  
Nested Logit Model ◽  
High Speed Rail ◽  
Access Mode

Pricing and mode choice based on nested logit model with trip-chain costs

2015 ◽  
Vol 44 ◽  
pp. 76-88 ◽  
Author(s):  
Xiao-Shan Lu ◽  
Tian-Liang Liu ◽  
Hai-Jun Huang
Keyword(s):  
Logit Model ◽  
Mode Choice ◽  
Nested Logit ◽  
Nested Logit Model ◽  
Trip Chain

Application of Cross-Nested Logit Model to Mode Choice in Tel Aviv, Israel, Metropolitan Area

1997 ◽  
Vol 1607 (1) ◽  
pp. 6-15 ◽  
Author(s):  
Peter Vovsha
Keyword(s):  
Logit Model ◽  
Mode Choice ◽  
Choice Models ◽  
Urban Transport ◽  
Transport Systems ◽  
Light Rail ◽  
Nested Logit ◽  
Nested Logit Model ◽  
Proposed Model ◽  
The Cross

Currently, modal split modeling is done mainly by means of disaggregated mode choice models. The almost absolute dominance of multinomial and nested logit models over other mode choice models among applied transportation modelers is attributable to their theoretical soundness, to their simple and understandable analytical structure, and to the calibration procedures that have been developed. Typical urban transport systems, however, are characterized by a variety of modes including private (automobile), public transit (bus, suburban rail, light rail, and subway), and various combinations of these. Analysis reveals that the nested logit model based on the assumption of groupwise similarities among modes is not a suitable modeling tool in such situations. A cross-nested model that is derived from the generalized extreme value class and that can be thought of as a generalization of the nested logit model is proposed. The model takes into account the cross similarities between different pure and combined modes. The cross-nested structure allows for the introduction of the differentiated measurement of pairwise similarities among modes as opposed to the inflexible groupwise similarities permitted by the nested logit model. The proposed model is described, and it is compared with alternative modeling constructs.

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