Accessibility Analysis Method of Medical Facilities Based on Vehicle Trajectory Data and Population Distribution

Abstract

The invention discloses a vehicle track data and population distribution-based medical facility reachability analysis method. The method comprises the steps of according to initial land utilization data and driving force data, performing future land utilization simulation on a research region in a FLUS model to generate a simulation result, and according to the simulation result, a distance valueand a quantity relationship, performing solving through a first linear regression model to obtain future population distribution data of the research region; and in combination with vehicle track data, medical facility data, initial population distribution data and traffic distances, mining internal potential relationships, accurately calculating out an uncertain elastic coefficient in an improvedgravity model, and performing calculation through a corrected gravity model to obtain a medical facility reachability value. The accuracy and operability of medical facility reachability analysis canbe improved; the deficiency of medical facility reachability research of a single time period of a current situation is effectively overcome; and scientific guidance is provided for future medical resource equalization and city population reasonable guidance.

Description

technical field [0001] The invention relates to the technical field of geographic information science, in particular to a method for analyzing the accessibility of medical facilities based on vehicle trajectory data and population distribution. Background technique [0002] Commonly used quantitative models for the spatial accessibility of medical services include the supply-demand ratio method, the closest distance method, the mobile search method, and the gravity model. The advantage of the Gravity Model is that it comprehensively considers the factors that affect residents’ travel choices, such as the service capacity of facilities, residents’ competition for services, and traffic distance, and introduces the distance attenuation coefficient, that is, the competitiveness of residents and the service capacity of medical facilities. It gradually weakens with the increase of traffic distance. The gravity model is logically more rigorous and more realistic, so it is widely u...

AI Technical Summary

Problems solved by technology

However, it is difficult for the traditional gravity model to choose an accurate and appropriate friction coefficient in different cases. In addition, previous studies have paid more attention to the analysis of the accessibility of medical facilities in a single period of time, ignoring the impact of future urban expansion and population growth on the rationality of the layout of current medical facilities. renewed challenge

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