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The Study On Inland Transportation Network Optimization Of Container Ports Based On Low-carbon

Posted on:2015-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y L LuoFull Text:PDF
GTID:2251330428981742Subject:Industrial Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of economy, the contradiction between the environment and economic development has even intensified in recent years. People pay more attention on carbon emissions. Carbon emissions of transportation attract people’s attention. The rapid development of container transport has become an important part of transportation industry. Now ports in our country have many problems of service bottleneck, facilities redundancy and repeated construction. It is of good significance to plan the collecting and distributing system. As large energy consumption, transportation has large room for energy-saving emission reduction. Adding analysis of carbon environmental cost is a historical mainstream and cannot be avoided in the process of planning. It has considerably practical significance to bring low-carbon concept into inland transportation network optimization of container ports.This thesis synthesizes related theories of collecting and distributing system in container port and carbon emissions, such as the meaning and composing of collecting and distributing system, meaning and principle of low-carbon transportation, present situation of collecting and distributing system and low-carbon transportation, network analysis of container ports and prediction method for OD flow. It transforms the carbon emissions into the carbon environmental cost, established in the inland container transportation network optimization model with the minimum total cost as the goal and answered by genetic algorithm. This thesis discusses the influence of the cost of carbon emissions on the optimization results by calculation and gives some advice. The result shows that the proposed model is reasonable and effective and can provide a theoretical basis for decision and some preliminary theory for the further study of low carbon transport.
Keywords/Search Tags:Low-carbon, Port collecting and distributing system, Networkoptimization, Genetic algorithm
PDF Full Text Request
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