Accessibility Analysis of Public Service Facilities in Chengdu Based on Crowdsourcing Geographic Data

Zaipeng Lou, Baolei Zhang
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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.
基于众包地理数据的成都市公共服务设施可达性分析
基于众包地理数据和大数据平台,从供需角度对成都市教育、医疗、购物等四类公共服务设施的可达性和供需匹配度进行评估。采用比值法和最短时间距离法计算公共服务设施可达性。采用等级相关和空间叠加方法,分析了可达性的供需失配。我们发现:成都市的购物和医疗公共服务资源高度集中在一环内,而教育公共服务资源大多分布在三环外。二环内四类公共服务设施的利用与布局较为均衡;全市70%以上的居住区和65%以上的街道通达性在20分钟内,城市整体通达性水平较高。二环内居住区可达性水平较高,外居住区可达性水平较低。四类公共服务设施中,小学的可达性水平最高;除老年人获得医疗服务外,大多数公共资源的分布与人口需求呈负相关,公共资源的分布存在一定的错位。在公共服务需求高的地区,超过50%的公共服务设施的可达性水平较好,中学与购物中心的资源分配公平性存在一定差距。根据不同区域的可达性和供需情况,建议采取不同适宜的交通方式,丰富公共交通线路和干线,减少需求高、可达性低的区域,根据居民需求完善公共服务设施,实现效率匹配,减少供需矛盾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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