Older adults’ heterogeneous preferences for climate-proof urban blue-green spaces: A case of Chengdu, China

中国 地理 景观设计 概念证明 气候变化 心理学 人口 环境规划 环境资源管理 环境卫生 生态学 医学 计算机科学 环境科学 操作系统 生物 考古
作者
Sining Zhang,Xiaopeng Li,Yang Mian,Haoxiang Song
出处
期刊:Urban Forestry & Urban Greening [Elsevier]
卷期号:90: 128139-128139 被引量:5
标识
DOI:10.1016/j.ufug.2023.128139
摘要

Both global warming and population aging are key issues currently facing society. Urban blue-green space (UBGS) can effectively improve older adults' health by providing cooling and opportunities to experience nature, both of which are important factors affecting their health. A better understanding of the landscape preferences of older adults and the importance they assign to different landscape elements is key for the appropriate planning and design of climate-proof UBGS. Such UBGS may increase the visiting frequency and outdoor activities of older adults. Therefore, it is important to understand the climate-proof design of UBGS from an older adults' perspectives. However, the existing literature is insufficient, and only few studies have addressed climate-proof landscapes for older adults. To fill this gap, this study analyzed older adults' perceptions and preferences for climate-proof landscapes provided by UBGS in the city of Chengdu, China, using face-to-face questionnaires (n = 332) and interviews. The participants were asked to share their preferences for climate-proof facilities among photos of 13 landscape elements and 44 landscape features and indicate the importance of each one. The data were subsequently imported into SPSS22 and analyzed using chi-square tests, the analytic hierarchy process, and correlational analyses. The results showed that older adults attach almost equal importance to landscape features related to comfort and safety, while large differences were observed in their preferences for landscape elements related to aesthetics and sensory stimulation. These results can guide the scientific improvement of climate-proof landscape planning and design and provide new ideas for actively responding to aging issues.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
乔乔兔应助Marciu33采纳,获得10
刚刚
刚刚
刚刚
Silver完成签到 ,获得积分10
1秒前
HDM发布了新的文献求助10
1秒前
whogun给whogun的求助进行了留言
2秒前
小熊饼干发布了新的文献求助10
3秒前
咖啡本咖发布了新的文献求助10
3秒前
小溜溜发布了新的文献求助10
4秒前
黄则已发布了新的文献求助10
5秒前
英姑应助猜不猜不采纳,获得10
5秒前
5秒前
www发布了新的文献求助10
6秒前
Ava应助畅畅采纳,获得10
6秒前
6秒前
个性半山完成签到 ,获得积分10
7秒前
思源应助大苏采纳,获得20
8秒前
子星完成签到,获得积分20
9秒前
爱lx完成签到,获得积分10
10秒前
11秒前
12秒前
正直发箍发布了新的文献求助10
12秒前
12秒前
刘老板完成签到,获得积分20
13秒前
ohh发布了新的文献求助10
14秒前
直率虔关注了科研通微信公众号
14秒前
畅畅完成签到,获得积分10
15秒前
15秒前
liang完成签到,获得积分10
16秒前
16秒前
Jasper应助赵泳行采纳,获得30
17秒前
科研通AI2S应助fgs采纳,获得10
18秒前
18秒前
Rez完成签到,获得积分10
19秒前
荷月发布了新的文献求助10
20秒前
善学以致用应助七七采纳,获得10
20秒前
完美世界应助白华苍松采纳,获得10
21秒前
周一凡发布了新的文献求助10
21秒前
zzz发布了新的文献求助10
22秒前
23秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3306683
求助须知:如何正确求助?哪些是违规求助? 2940486
关于积分的说明 8497187
捐赠科研通 2614678
什么是DOI,文献DOI怎么找? 1428354
科研通“疑难数据库(出版商)”最低求助积分说明 663427
邀请新用户注册赠送积分活动 648259