Abstract

Sustainable development of transport systems is a common topic of concern and effort in multiple countries, in which reducing carbon emissions is one of the core goals. Multimodal transport is an effective way to achieve carbon emission reduction and to efficiently utilize transport resources. The intercontinental transport system, represented by the Euro–China Expressway, is a prominent exploration that has recently received attention, which promotes the sustainable development of transport between countries and carbon emission reduction. In the intercontinental multimodal transport system, the reasonable connection of roads and railways, especially the optimization of consolidation, is an important link which affects the system's carbon emissions. This paper focuses on the consolidation of sustainable multimodal transport and summarizes the multimodal transport two-echelon location-routing problem with consolidation (MT-2E-LRP-C). We aim to solve multimodal consolidation optimization problem, especially locations of multimodal station, by routing of highway and railway. We propose a two-layer mixed integer linear problem (MILP) model, which highlights the consolidation of roads and railways, focuses on road and rail transport connections, and optimizes road routes and railway schemes. To validate the MT-2E-LRP-C model, we design a series of random instances for different quantities of nodes. In order to solve large-scale instances and realistic transport problems, we propose a hybrid differential evolution algorithm, which decomposes the problem into a railway layer and a highway layer for heuristic algorithm solving. Furthermore, the MILP model and algorithm are tested by small-scale random instances, and the hybrid differential evolution algorithm is solved for the large-scale random instances. Finally, we solve the realist instance from the Euro–China Expressway to develop instructive conclusions.

Highlights

  • As the transport system moves toward sustainability, improving the efficiency of the transport system and strengthening the connection of low-carbon modes of transport are becoming important topics

  • We propose a series of computational results to compare mixed integer linear problem (MILP) with a heuristic algorithm

  • We refined the practical problems of multimodal transport sustainability and proposed an MT-2E-location routing problem (LRP)-C, which is an intercontinental transport dispatching problem

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Summary

Introduction

As the transport system moves toward sustainability, improving the efficiency of the transport system and strengthening the connection of low-carbon modes of transport are becoming important topics. Conversion from highway to railway and creating a green and efficient modern logistics system are key aspects of sustainable development and low-carbon transport. In this situation, land bridge transportation has gradually reflected its unique advantages regarding sustainability, cost-effectiveness, and reliability in the international supply chain compared with other modes of transport. An intermodal road–rail operation would reduce emissions by up to 77.4%, be up to 43.48% more fuel-efficient, and be up to 80% cheaper than operating solely with road transport [4]. Optimizing the consolidation is a key procedure to reduce carbon emissions of the sustainable multimodal transport system

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