Abstract
The rational layout of prefecture city rail transit network is of great significance to the coordinated development of urban and rural areas. This paper analyses five related factors that affect the layout of rail transit and grey relation analysis is used to analyse the correlation degree and weight of five related factors. Based on this, an improved gravity model describing the attraction between towns is built. The improved gravity model is used as the road weight, and the urban rail transit network layout is obtained by graph theory Kruskal algorithm. Finally, taking the urban rail transit network in Handan as an example, the rationality and feasibility of the model and layout method are checked.
Highlights
The overall development of urban and rural areas is an important measure to build a well-off society in an allround way in the new era
Intercity rail transit can meet the needs of medium and long-distance, high-density passenger travel between large cities, but it cannot meet the convenient requirements of small and medium-sized cities, medium and short-distance passenger travel
It is necessary to study the layout method of urban rail transit network
Summary
The overall development of urban and rural areas is an important measure to build a well-off society in an allround way in the new era. Zhiming Zhao et al analysed the importance and economic gravity index of intercity rail transit nodes by using AHP, and put forward the dual optimization model of intercity rail main framework layout [4]. Most of the analysis methods of rail transit network planning are qualitative analysis, considering urban spatial layout, land use, passenger flow distribution, line network structure, social economy, etc. Scholars at home and abroad, based on the minimum spanning tree in the graph theory, have not considered the selection factors of the road weight in the layout planning of rail transit network, most of which are one or two, and have not considered the related factors such as political economy, tourism, population flow among cities and towns comprehensively. Through the establishment of an improved gravity model to describe the mutual attraction between urban nodes, determine the weight of the road between urban nodes, use Kruskal algorithm to solve the minimum spanning tree, and provide a quantitative analysis method for the determination of urban rail transit network
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