Elderly Residents’ Uses of and Preferences for Community Outdoor Spaces during Heat Periods

市中心 空格(标点符号) 老年人 人口 订单(交换) 人口老龄化 地理 老年学 心理学 应用心理学 业务 计算机科学 环境卫生 医学 操作系统 考古 财务
作者
Xiaolin Yang,Yini Fan,Dawei Xia,Yukai Zou,Yuwen Deng
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:15 (14): 11264-11264 被引量:9
标识
DOI:10.3390/su151411264
摘要

The downtown cores of many cities are characterized by aged communities that tend to host a relatively high population of elderly retirement residents. The availability and usage of outdoor spaces within these communities play a crucial role in promoting active aging, providing essential locations for rest, activities, and social interaction among the elderly. However, in the planning and design of these spaces, attention is often focused on the safety and mobility requirements of the elderly population, while a lack of research is apparent in the area of elderly-specific preferences for spaces designed for relaxation and communication. In this study, we selected an aging community as the research target and conducted a detailed investigation of the outdoor spaces where the elderly residents gather and build up spontaneously in summer. Our objective was to evaluate the environmental factors influencing the selection of these outdoor spaces by the elderly for relaxation and communication. We analyzed the correlations between these factors and the number of occupants in these spaces and developed predictive models accordingly. The findings indicate that the environmental factors impacting the utilization of outdoor spaces by the elderly during heat periods within the community are, in order of importance: temperature, relative humidity, human traffic flow, and noise levels. These factors include physical and social aspects; temperature is a negative correlation factor affecting the use of outdoor space by the elderly, and the rest are positive correlation factors. This shows that the elderly like to gather and chat in a cool, crowded, and lively environment. Through the data analysis, it was determined that the random forest regression model was the most effective in predicting the number of residents remaining in these spaces. With a coefficient of determination (R2) of 0.7958, the model can assist in community update planning and design, help in selecting outdoor spaces, and improve the quality of the outdoor environment. This study discusses the factors influencing the elderly’s use of community outdoor space from the physical and social levels, and the prediction model is significant for the optimization of spatial elements and spatial location.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
dypdyp应助飞云采纳,获得10
2秒前
砍柴少年发布了新的文献求助10
3秒前
3秒前
juju发布了新的文献求助10
3秒前
4秒前
wang完成签到,获得积分20
5秒前
o30发布了新的文献求助10
5秒前
汽水发布了新的文献求助10
5秒前
6秒前
WYR发布了新的文献求助10
6秒前
6秒前
6秒前
牛啊牛啊发布了新的文献求助10
6秒前
7秒前
Diaory2023完成签到 ,获得积分0
7秒前
SRQ发布了新的文献求助10
8秒前
8秒前
丘比特应助淡淡的新之采纳,获得10
8秒前
8秒前
kecheng应助xin采纳,获得10
9秒前
666发布了新的文献求助10
9秒前
善良飞丹发布了新的文献求助10
9秒前
9秒前
9秒前
9秒前
张浩发布了新的文献求助10
9秒前
心灵美的河马完成签到,获得积分20
9秒前
9秒前
何佳完成签到,获得积分10
10秒前
夜空中最亮的星完成签到,获得积分10
10秒前
10秒前
葡萄炖雪梨完成签到,获得积分10
10秒前
阿费发布了新的文献求助10
11秒前
wendy_1006完成签到 ,获得积分10
11秒前
小马哥完成签到,获得积分10
11秒前
千风完成签到,获得积分10
11秒前
11秒前
纪贝贝完成签到,获得积分10
11秒前
Akim应助akz采纳,获得10
12秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3969383
求助须知:如何正确求助?哪些是违规求助? 3514211
关于积分的说明 11172730
捐赠科研通 3249476
什么是DOI,文献DOI怎么找? 1794909
邀请新用户注册赠送积分活动 875441
科研通“疑难数据库(出版商)”最低求助积分说明 804827