Method for defining service range of urban public service facilities

Abstract

The invention relates to the technical field of public service facility planning management. The invention particularly relates to a method for defining the service range of urban public service facilities. The method comprises the following steps: a data preparation step, a facility information table construction step, a population information table construction step, an edge set population-facility list construction step, a public service facility service range generation step, a public service facility force range generation step and a public service facility range generation step. According to the method, a bipartite graph network model of a population point-facility point is constructed; each population point corresponds to a plurality of selectable facility points; each facility point can provide service for a plurality of population points; and the probability value of each facility selected by each population point is calculated by further researching the game strategy of the network model, and the division of space classification is completed by selecting the maximum probability value, so that the relatively accurate facility service range is obtained, and the technical support is provided for optimizing the planning and layout of the facilities, and the efficient utilization of public facility resources is promoted.

Description

technical field [0001] The invention relates to the technical field of planning and management of public service facilities, in particular to a method for defining the service scope of urban public service facilities. Background technique [0002] The more practical method of defining the service scope of public facilities is the adjacent allocation method. This method needs to set a maximum distance value, that is, the service radius, and then use a certain similarity principle to allocate locations. The more classic method is based on Euclidean distance. The classic method of this method can be considered as the combination of simple radius method and Thiessen polygon method. The simple radius method draws a circle with the facility point as the center and the facility service radius as the radius. The circle obtained is the service range of the facility, and the service radius itself is an empirical value, and the current service radius is only based on the type of publi...

AI Technical Summary

Problems solved by technology

The Thiessen polygon method is reasonable for the specific space division rules, but in actual situations, people do not necessarily follow the nearest neighbor principle when choosing a facility. When choosing a facility nearby, it is more likely to consider multiple candidate facilities comprehensively. It is very common to choose the optimal facility based on factors such as its service capability and the cost required to reach the facility; for facilities, due to factors such as the late start of the planning discipline, unreasonable layout is very common, and it is very difficult to divide the sphere of influence simply by the nearest neighbor principle. It may happen that facilities with strong service capabilities have a small sphere of influence while facilities with weak service capabilities have a large sphere of influence, which will lead to tension and waste of public service facility resources

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