Multi-Dimensional Selection Method of Port Logistics Location Based on Entropy Weight Method
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In order to effectively relieve the traffic pressure of the city, ensure the smooth flow of freight and promote thedevelopment of the logistics industry, the selection of appropriate port logistics location is the basis of givingfull play to the port logistics function. In order to better realize the selection of port logistics, this paper adoptsthe entropy weight method to set up a multi-dimensional evaluation index, and constructs the evaluation modelof port logistics location. Then through the actual case, from the environmental dimension and economiccompetition dimension to make choices and analysis. The results show that port d has the largest logisticscompetitiveness and the highest relative proximity among the three indicators of hinterland city economicactivity, hinterland economic structure, and port operation capacity of different port logistics locations, whichhas absolute advantages. It is hoped that the research results can provide a reference for the multi-dimensionalselection of port logistics site selections.
Abstract
In order to effectively relieve the traffic pressure of the city, ensure the smooth flow of freight and promote thedevelopment of the logistics industry, the selection of appropriate port logistics location is the basis of givingfull play to the port logistics function. In order to better realize the selection of port logistics, this paper adoptsthe entropy weight method to set up a multi-dimensional evaluation index, and constructs the evaluation modelof port logistics location. Then through the actual case, from the environmental dimension and economiccompetition dimension to make choices and analysis. The results show that port d has the largest logisticscompetitiveness and the highest relative proximity among the three indicators of hinterland city economicactivity, hinterland economic structure, and port operation capacity of different port logistics locations, whichhas absolute advantages. It is hoped that the research results can provide a reference for the multi-dimensionalselection of port logistics site selections.
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