The Optimization Of Port Hinterland Container Intermodal Transportation Network With Consideration Of Carbon Emissions

Increasing international container volume worldwide due to the intensification of global trade is creating pressures not only on maritime shipping,but also on the port hinterland freight transportation system.Port-hinterland connection,as an extension of maritime shipping in inland areas,is an indispensable part of the whole container supply chain.The efficiency of port hinterland transportation influences not only the service quality of entire container transportation chain,but also the port competitions on absorbing freight in hinterlands.The optimization of transportation system in the port-hinterland part is still facing complicated and challenges in achieving cost-saving,fast,safe,and environmentally friendly movement of goods and dealing with uncertain circumstances.Considering the advantages of intermodal transportation in cost,emissions and operational efficiency comparing with unimodal road transport,this dissertation constructs port hinterland container intermodal transportation network and integrates aspects of costs,time and emissions.The optimization of port hinterland intermodal transportation network considering carbon emissions is carefully analyzed in order to explore the transportation strategies in low-carbon development and that when facing uncertain circumstances.Specifically,the following studies are carried out in this dissertation:(1)Analysis on the port hinterland container transportation network considering carbon emissions.The characteristics of proposed port hinterland freight transportation network and cargo transportation patterns are identified firstly in this study.Then,the key factors influencing the performance of port-hinterland container transportation network under carbon emissions are analyzed in detail.And the impacts of low-carbon development requirements on the optimization decision of port hinterland transportation network are further investigated.(2)Analysis on the port hinterland container intermodal transportation network optimization considering the impacts of carbon tax policy and emissions trading scheme.Transportation costs,transferring costs,transportation time,transferring time,transportation emissions and transferring emissions are included simultaneously in this study.The objective is to minimize total social costs which include the internal logistics costs and external costs through the proposed network.And the models under carbon tax policy implementation and that under carbon trading scheme circumstance are established.Through the empirical study of the Yangtze River Economic Belt,the influence process of implementation of carbon tax policy and carbon trading scheme on the proposed network is analyzed,and the results of transportation network under these policies are compared.The findings help provide some strategies for low-carbon development in port hinterland freight system.(3)Analysis on the multi-uncertain optimization of port hinterland container intermodal transportation network with consideration of the fuzzy carbon emissions limits for different transportation modes and some interval parameters.This study establishes an interval-fuzzy credibility-constrained programming model for port hinterland intermodal transportation network based on the credibility theory.The objective of this model is to minimize total logistics costs.The changes of transportation network results under different levels of credibility constraints are analyzed in order to explore the low-carbon strategies under multiple uncertainties by application in the Yangtze River Economic Belt.(4)Analysis on the bi-objective optimization of port hinterland container intermodal transport network under uncertain demand considering cost and emission objectives.The partial information of the mean and variance is used to define the uncertainty of demand in this study.The objective is to minimize total logistics costs through the proposed transportation network by introducing the chance constraint set in which the worst case that transportation demand is satisfied is minimized.A bi-objective optimization model for port hinterland container intermodal transport network based on distributionally robust chance constraint is established.Through the application in the Yangtze River Economic Belt,the impacts of guarantying the demand uncertainty on total network logistics costs,total carbon emissions and the trade-off relationship between them are investigated.And sensitivity analysis of the lower bound of probability level of opportunity constraint is used to explore how these impacts would change with the increase of the lower bound of probability level for the purpose of low-carbon strategies.