System capacity model and algorithm for urban multimodal transport network with transfer

Fang Zhao, Bingfeng Si, Guanghui Su, Tianwei Lu and Jose J. Ramasco

Transportation Planning and Technology, 2025, vol. 48, issue 1, 185-204

Abstract: This paper proposes a method for calculating transport networks capacity in dealing with multimodal transfers. Multimodal networks are represented by a modified ‘supernetwork’, while the passenger’s travels are defined as ‘superpaths’. Within this framework, the relation between the travel demand from O-D matrices and the resulting link flows in the supernetwork is modelled as a relationship matrix to describe urban mobility by using a logit-based stochastic user equilibrium. Based on this relationship matrix, an approximate iteration algorithm (AIA) is developed. Our numerical results show that the AIA performs better than the sensitivity analysis-based algorithm (SAB) and genetic algorithm (GA) regarding the execution-time, and that the capacity of multimodal transport networks can be underestimated if the combined travels are neglected.

Date: 2025
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DOI: 10.1080/03081060.2024.2338185

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