System capacity model and algorithm for urban multimodal transport network with transfer
Document Type
Journal Article
Publication Date
2025
Subject Area
place - urban, operations - capacity, ridership - demand, ridership - modelling
Keywords
Multimodal network, network capacity, supernetwork, equilibrium assignment, bi-level programming
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.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Zhao, F., Si, B., Su, G., Lu, T., & Ramasco, J. J. (2025). System capacity model and algorithm for urban multimodal transport network with transfer. Transportation Planning and Technology, 48(1), 185-204.
