A method for predicting related important indexes of newly-built logistics nodes in a freight transport network

Abstract

The invention discloses a method for predicting related important indexes of newly-built logistics nodes in a freight transport network, belonging to the field of complex network evolution and topological structure optimization. Firstly, the concept of logistics node attractiveness is put forward, and then the optimal freight network topology is obtained after a logistics node is newly built by the evolution and optimization of freight network topology, so as to determine the comprehensive value of the optimal attractiveness of the new logistics node. Finally, according to the comprehensive value of the optimal attractiveness of the newly-built logistics node, the index value of the newly-built logistics node is deduced by using the reverse method of the entropy weight comprehensive evaluation method, so as to realize the purpose of scientifically forecasting the freight volume, gross output value, occupied area, investment quota and other index values of the logistics node. Compared with the traditional blind investment and one step at a time construction, this method significantly improves the efficiency of decision-making, improves the accuracy and scientificity of decision-making and reduces the potential risks caused by the blind investment and one step at a time construction.

Description

technical field [0001] The invention belongs to the field of complex network evolution and topology optimization, and more specifically relates to a method for predicting important indicators related to new logistics nodes in a freight network. Background technique [0002] The planning of logistics nodes refers to considering the logistics needs in a specific area, and on the premise of the distribution and operation status of existing logistics nodes, determining the number and types of new logistics nodes, selecting the appropriate layout location, and Calculate a reasonable construction scale. In the specific planning process, it is often necessary to combine the characteristics of the location, material flow and flow direction to coordinate the relationship between different nodes, nodes and actual regional logistics demand, so as to improve the operation efficiency of the urban logistics network system and reduce the Cost, to achieve the optimization of logistics reso...

AI Technical Summary

Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a calculation method for scientifically predicting the logistics node freight volume, construction scale, investment quota and other index values. Optimization, to solve the problems that cannot be overcome by traditional construction methods, such as the difficulty in scientifically predicting the freight volume,...

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