期刊论文

Planning and Layout of Facilities for the Elders Based on POI and Machine Learning:A Case Study of Wuhan

中文

经济地理

1000-8462

2021

41

06

49-56

10.15957/j.cnki.jjdl.2021.06.006

国家自然科学基金项目（71774066）； 教育部人文社会科学基金项目（19YJC630179）； 湖北省教育厅人文社会科学研究项目（18Q004、18Q014）；

本校为其他机构

文章以武汉市为研究对象,在500 m网格尺度上,以POI数据与"六普"人口数据为基础,结合现有的城市养老设施分布特征,运用机器学习算法,对养老设施选址布局进行定量模拟。文章先从武汉市31 390个网格中模拟出4 878个适合选址点位,然后根据各区域老龄化程度,进一步筛选出1 366个需要优先布局的点位,初步实现精细化尺度下养老设施定量化选址。研究发现:（1）模型模拟结果与现有养老设施对比,准确度为95.7%,方法可靠。（2）预测结果表明武汉市新增养老设施主要布局在三环以内等老龄化人口集聚区;同时,部分远城区街道人口老龄化也比较严重,需尽快新建养老设施。（3）研究尝试采用机器学习算法进行养老设...

Under the background of increasingly aging population, it is very important to speed up the construction of urban facilities for the elders and quantitatively do research on their site selection. Taking Wuhan City as the research object and based on POI data and the sixth national census, this paper quantitatively simulates the location and layout of facilities for the elders on a 500m grid scale by the means of machine learning algorithms, which combines with the distribution characteristics of current urban facilities for the elders. Firstly, it simulates 4 878 suitable sites from the 31 390...