Journal
TRANSPORTMETRICA A-TRANSPORT SCIENCE
Volume 14, Issue 9, Pages 737-760Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/23249935.2018.1431701
Keywords
Traffic modal split; combinatorial logit model; sensitivity analysis; 'go-green' travel modes
Funding
- U.S. Department of Transportation [NEXTRANS Center]
- National Natural Science Foundation of China [51608313]
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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 'gogreen' travel modes and reduce network congestion.
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