The paired combinatorial logit (PCL) model is one of the extended logit models recently developed from the generalized extreme value theory to handle the drawbacks of the multinomial logit (MNL) model. The PCL model is considered suitable for adaptation to the route choice problem to resolve the independence from irrelevant alternatives property inherited in the MNL model while keeping the analytical tractability of the logit choice probability function. In this paper, we adapt the PCL model to handle the two drawbacks of MNL in a route choice context: (1) inability to account for overlapping (or correlation) among routes, and (2) inability to account for perception variance with respect to trips of different lengths. Specifically, the effects of congestion, scaling, and overlapping on the PCL choice probabilities are examined using a set of carefully designed experiments and graphical illustrations. The experimental designs and graphical illustrations allow for intuitive explanation and comparison of the different effects on the calculation of the route choice probabilities.
ADAPTATION OF THE PAIRED COMBINATORIAL LOGIT MODEL TO THE ROUTE CHOICE PROBLEM
Transportmetrica ; 1 , 3 ; 223-240
2005-01-01
18 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Solving the Overlapping Problem in Route Choice with Paired Combinatorial Logit Model
Online Contents | 2003
|Solving the Overlapping Problem in Route Choice with Paired Combinatorial Logit Model
Transportation Research Record | 2003
|Combined multinomial logit modal split and paired combinatorial logit traffic assignment model
Taylor & Francis Verlag | 2018
|The paired combinatorial logit model: properties, estimation and application
Online Contents | 2000
|Adaptation of Logit Kernel to Route Choice Situation
Online Contents | 2002
|