Combined multinomial logit modal split and paired combinatorial logit traffic assignment model

To better address the route overlap problem of the multinomial logit model used in combined modal split and traffic assignment models in the literature, this study proposes a combined multinomial logit modal split and paired combinatorial logit traffic assignment (MNL-PCL) model. The PCL model can a...

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Bibliographic Details
Published in:Transportmetrica (Abingdon, Oxfordshire, UK) Oxfordshire, UK), 2018-10, Vol.14 (9), p.737-760
Main Authors: Wang, Jian, Peeta, Srinivas, He, Xiaozheng, Zhao, Jinbao
Format: Article
Language:English
Subjects:
'go-green' travel modes
Combinatorial analysis
combinatorial logit model
Decision analysis
Economic models
Logit models
Mathematical programming
Modal choice
Parameter estimation
Sensitivity analysis
Traffic assignment
Traffic congestion
Traffic modal split
Traffic models
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Summary:To better address the route overlap problem of the multinomial logit model used in combined modal split and traffic assignment models in the literature, this study proposes a combined multinomial logit modal split and paired combinatorial logit traffic assignment (MNL-PCL) model. The PCL model can account for the route overlap problem using a similarity index for each pair of routes in the network. It requires significantly fewer parameters to be calibrated using real-world data. Thereby, it circumvents parameter estimation issues associated with a cross-nested logit model. An equivalent mathematical programming problem is developed for the MNL-PCL model. Further, an analytical model is developed for sensitivity analysis of the MNL-PCL model. Several applications of the proposed MNL-PCL model are demonstrated using a numerical example by leveraging the results of sensitivity analysis. The study insights can assist decision-makers to design more effective strategies to promote 'go-green' travel modes and reduce network congestion.
ISSN:2324-9935
2324-9943
DOI:10.1080/23249935.2018.1431701