Abstract

The urban multimodal transport network is composed of multiple layers of networks; thus, coordinating the capacity equilibrium among different sub-transport networks plays a crucial role to keep the entire network running efficiently. To quantify and evaluate the passenger flow distribution in an urban multimodal transport network, this research proposes a method to evaluate the capacity coordination in an urban multimodal transport network on the basis of assignment results calculated by the Stochastic User Equilibrium (SUE) model considering the link and path impedance of different sub-transport networks. It suggests evaluation functions for the indicator level of service (LOS) of the multimodal transport network, Gini coefficient of transport network, and mode share of transport modes, and it shows how the functions were estimated. Then, it reports on results with the evaluation scheme collected in a multimodal example application for roadway network, transit networks (bus transit network and urban rail transit network), and connection network. The evaluation results under different assumed origin–destination (OD) demand show the coordination degree and can be used to recognize shortcomings of the network. Moreover, the OD demand interval of real network with good coordination can be deduced, which can also help transport planners to find the optimal strategy.

Highlights

  • The multimodal transport concept was first proposed by the United Nations in 1980 [1], defined as “carriage of goods by at least two different modes of transport”

  • The urban multimodal transport network consisted of roadway network, transit networks, and a connection network, in which we considered five typical transport modes

  • Where a1 is the link of the access connection network, a2 is the link of the bus transit network, a3 is the link of the virtual bus–metro transfer network, a4 is the link of the urban rail transit network, a5 is the link of the egress connection network, a6 is the link of the access connection network, a7 is the link of the roadway network, a8 is the link of the virtual P + R transfer network, a9 is the link of the urban rail transit network, and a10 is the link of the egress connection network

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Summary

Introduction

The multimodal transport concept was first proposed by the United Nations in 1980 [1], defined as “carriage of goods by at least two different modes of transport”. For the urban multimodal transport network, which is regarded as efficient, it is self-evident that the different subtransport networks should be highly connected, synchronized, and complementary to each other in terms of network capacity and travel utility. Considering all mentioned facts, our approach was developed because the evaluation of an entire urban multimodal network from different perspectives is seldom addressed. A capacity coordination evaluation approach was developed for an urban multimodal transport network. Travelers choose the mode and route whose generalized cost is the minimum between OD pairs, and the passenger flow of the whole network is assigned into different sub-networks according. The capacity of an urban multimodal transport network is a measure of the maximum number of passengers that can be transported over a given period.

Evaluation Process of Capacity Coordination
Topology of Urban Multimodal Transport Network
Model Formulation and Solution Algorithm
LOS of Multimodal Transport Nerwork
Gini Coefficient of Multimodal Transport Network
Lorenz
Mode Share of Transport Modes
Numerical Example
Topology
Results and Discussion
Evaluation Results
Conclusions

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