Study On The Optimization Of Green Multi-Modal Transport Network Based On The Dependence Of Transshipment Nodes And Multi-Attribute Path

Along with the economic globalization and market competition of natural,logistics has become a basic and strategic industry for supporting economic and social development,However,with the rapid expansion of social logistics,the situation of energy consumption and environmental pollution is becoming more and more serious.Therefore,whether the enterprise is responsible for the society's responsibility to consider the green logistics into the actual operation,or they are limited to the government's mandatory carbon emission abatement policy,or they notices the potential market value of low carbon transportation in the green stream,predictably green low carbon transport in logistics management in the future will be one of the core competitiveness.This study focuses on the transportation mode and transportation vehicle,fully considers the influence of the combination and their influence on the dependence of transshipment nodes and multi-attribute path in the green multimodal transport network.Then analyzes the benefit back behaviors and characteristics of the total transportation cost and transportation total emissions under this influence,and establishes the nonlinear integer programming Model-1 without resource constraints,and Model-2 with resource constraints,as well as the multi-objective optimization model of resource constraints optimization Model-3.Based on the CPLEX software to solve and analyze these models respectively,the following conclusions are drawn: when the cost is the minimum,the model is prefer to choose the highway and diesel vehicles' combination,while the long-distance transportation is prefer to choose various modes of transportation and transportation' combination of the water transport ship and the highway diesel vehicle.When the carbon emission is the minimum,it is more likely to choose the railway trains.When the resources are limited,the total transportation costs and total carbon emissions will increase correspondingly,but carbon emission is more sensitive to resource capacity constraint.