摘要
本文主要探讨人工智能技术在养老设施规划布局方面的应用方向,以我国城乡养老服务水平发展差异为切入点,选取江西省宜春市袁州区作为研究对象,基于决策树模型与机器学习,对研究范围内未来养老设施可能的布局区域进行定量模拟;并以此为基础,分析模拟结果在城乡空间分布上存在的差异。为进一步探究人工智能选址的可行性与应用方向,本文提取袁州区寨下镇作为实证案例,利用交通可达性覆盖范围与现状老年人口分布之间的空间关系作为判断依据,结合运筹学理论的分析方法优化模拟选址点位。研究结果表明,基于决策树模型生成的模拟结果在乡镇层面的参考价值大于中心城区,并能有效补充乡村地区养老配套设施的缺位,提高养老服务设施布局的科学性。此外,本文的研究方法和技术手段也可为其他地区的同类设施布局提供借鉴和参考。
This article mainly discusses the application directions of artificial intelligence technology in the planning and layout of elderly care facilities.Taking the development differences in urban and rural elderly care service levels in China as the entry point,this study selects Yuanzhou District,Yichun City,Jiangxi Province as the research object.Based on decision tree models and machine learning,this study quantitatively simulates potential layouts for future elderly care facilities in the research scope and analyzes the spatial distribution differences in urban and rural areas based on simulation results.To further explore the feasibility and application direction of artificial intelligence site selection,this article extracts Zhaixia Town in Yuanzhou District as an empirical case,uses the spatial relationship between traffic accessibility coverage and the distribution of current elderly population as the judgment basis,and optimizes simulated site selection points using the analysis method of operations research theory.The research results indicate that the simulated results generated based on the decision tree model have greater reference value at the township level than in the central urban areas.It can effectively supplement the lack of elderly care facilities in rural areas and improve the scientific layout of elderly care service facilities.Additionally,this study's research methods and technical means can provide references for similar facility layout in other regions.
出处
《小城镇建设》
2023年第12期22-29,共8页
DEVELOPMENT OF SMALL CITIES & TOWNS
关键词
人工智能
决策树模型
养老设施
规划选址
乡镇地区
宜春市袁州区
artificial intelligence
decision tree model
elderly care facility
planning site selection
rural area
Yuanzhou District in Yichun City