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Study On Multimodal Transport Route Selection Model And Scheme Evaluation In Low Carbon Environment

Posted on:2023-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:S ZhangFull Text:PDF
GTID:2531307145967889Subject:Logistics Engineering and Management (Professional Degree)
Abstract/Summary:PDF Full Text Request
Economic and trade globalization has brought about the vigorous development of transportation industry and people’s increasing demand for transportation.Under this trend,energy consumption increases and environmental pollution becomes increasingly serious.Therefore,it is necessary to vigorously develop "low-carbon transportation".The logistics industry,as a major source of energy emissions in transportation,should play a significant role in mitigating greenhouse effect and transforming to low-carbon transportation.As a green transportation mode,multimodal transportation can reduce transportation cost and shorten transportation time compared with a single transportation mode.However,while multimodal transport promotes economic development,there are also many problems that can not be ignored.Therefore,how to choose a reasonable mode and route of transportation,reduce the cost of cargo transportation and reduce carbon emissions while considering the demand and satisfaction of enterprises is a new hot spot in the field of transportation research.Based on this,this paper studies multimodal transport route selection in low carbon environment.This paper takes X Company’s multimodal transportation as the background.By using the improved genetic algorithm and AHP-fuzzy comprehensive evaluation method,the multimodal transport route selection model and scheme evaluation model under low carbon environment are established respectively.First of all,in the establishment of the model,this paper adds the constraint of carbon emission quota into the three objectives of transportation cost,time and carbon emission,and sets the constraint of satisfaction of transportation time,and considers the transportation security cost in the cost.In terms of algorithm design,an improved genetic algorithm was designed according to the characteristics of the problem in this paper,and the encoding chromosome was improved and a new mutation operation was designed.In terms of optimal scheme selection,the sensitivity of different decision-makers to the objective function is considered,and the weight coefficient is added to adjust the objective function.However,as the heuristic algorithm is used to decode the improved genetic algorithm in this paper,the results of the optimal transportation scheme under different sensitivities will fluctuate slightly.In order to select the optimal scheme objectively and scientifically,ah P-fuzzy comprehensive evaluation method is used to analyze the four optimal schemes with significant differentiation characteristics.Finally,the optimal transport scheme is selected according to the score,and the advantages and disadvantages of these schemes are comprehensively analyzed to assist decision-makers to make better decisions from both qualitative and quantitative aspects,and further enrich the research on multimodal transport routes in low carbon environment.It is found that under different sensitivity weights,the optimal transportation scheme with the highest general density is water-iron combined transportation.Air-rail combined transportation is suitable for the situation with high sensitivity to time and low sensitivity to cost and carbon emissions;In this paper,when the sensitivity weight is set as(0,1,0),the optimal transportation scheme is aviation → aviation → railway.It can be seen that with the continuous improvement and rapid development of China’s railway transportation network,the transportation structure mode of railway transportation as the end of air freight will become possible.The results of AHP-fuzzy comprehensive evaluation show that water-rail combined transportation is superior to pure railway and air-rail combined transportation.
Keywords/Search Tags:Multimodal transport, Path selection, Low-carbon transportation, Improved genetic algorithm, AHP-fuzzy comprehensive evaluation method
PDF Full Text Request
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