Abstract

Based on crowdsourcing geographic data and big data platforms, this paper evaluates the accessibility and supply-demand matching of four types of public service facilities in Chengdu from the perspective of supply and demand, including education, medical care and shopping. Ratio and shortest time distance methods were applied to calculate public service facility accessibility. By employing the rank correlation and spatial overlay methods, this study analyzed the mismatch between supply and demand of accessibility. We found that: The shopping and medical public service resources of Chengdu are highly concentrated in the first ring road, while the education public service resources are mostly located outside the third ring road. The utilization and distribution of the four types of public service facilities in the second ring road are relatively balanced; More than 70% of residential communities and more than 65% of JieDao accessibility in the city are within 20 minutes, indicating a high level of overall urban accessibility. The accessibility level of residential areas within the Second Ring Road area is high, while the accessibility level of the outside area is low. Among the four types of public service facilities, the accessibility level of primary schools is the highest; Except for the elderly's access to medical care, the distribution of most public resources is negatively correlated with the needs of the population, and there is a certain dislocation in the distribution of public resources. In areas with high demand for public services, more than 50% of public service facilities have a good level of accessibility, and there is a certain gap in the fairness of resource allocation between middle schools and shopping centers. According to the accessibility and supply and demand of different regions, it is suggested to adopt different appropriate transportation modes, enrich public transportation lines and trunk lines, reduce areas with high demand and low accessibility, and improve public service facilities based on residents' demand to match the efficiency and reduce the contradiction between supply and demand.

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