Inland Container Station Multi-period Location Optimization Based On The Industrial Transfer Effect

With the rapid development of economy,the manufacturing industry in the southeast coastal areas of China is more and more limited by the raw materials,labor and land resources,and gradually transferred to the central and western provinces.At the same time,in order to promote the coordinated development of regional economy,the central and western provinces actively undertake the industry transfer of southeast coastal areas.In the process of industr:ial transfer,the demand for import and export has been spreading to the inland areas.Under the current inland transportation network,the transport distance of containerized goods has increased greatly,resulting in increased transportation costs,more frequent traffic accidents and more serious environmental pollution.Therefore,there is an urgent need to optimize the coastal container transport network and logistics system to improve the status.In this paper,the concept of time dimension is introduced,and the location method of inland container station based on industrial transfer effect is proposed.First,this study sorts out the relevant literature at home and abroad,then describes the concept of inland container terminal,defines the measurement method of relevant station site construction costs.Secondly,the selection probability of industrial transfer is calculated based on multiple Logit selection model,and the measurement method of container transport demand under industrial transfer effect is proposed.Then,the station is regarded as a virtual link connected with highway and railway.The multi-modal container transportation network is constructed.Then,the container demand model distribution model is established based on cost equilibrium using UE balance principle.Then,a multi-stage bi-level programming model for inland container station decision is proposed.The upper model is double objects function.The decision variables of the upper model are the location and construction period of the station,and the double object of the upper model is to minimize the general cost and maximize the service level of the regional container transportation network.The decision variables of the lower model are road container flow.The lower model is used to distribute the container flow under the multi-modal transportation network decided by the upper model,and feed the flow of each road back to the upper model.Because of the high complexity of the model and the large number of decoding elements,a multi-objective genetic algorithm is used to solve the model.Finally,the paper takes the Pan-Pearl River Delta(PRD)as an example to analyze the results,and obtains the staging layout scheme of the stations,and analyzes the sensitivity of the model parameters to test the model validity.The results show that the method of location selection of inland container stations considering the industrial transfer effect is scientific and reasonable.The proposed bi-level programming model of multi-stage location of inland container yards is feasible and effective.The service level and related factors of station transportation are well quantified in the model.Therefore,this study can provide the theoretical guidance for inland container station layout planning.