Analysis of Satisfaction with Indoor Spatial Layout of Older Adults in Nursing Homes
Lifei Zhang (),
Qingyu Shi and
Jingyu Yu
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Lifei Zhang: Hefei University of Technology
Qingyu Shi: Hefei University of Technology
Jingyu Yu: Hefei University of Technology
Chapter Chapter 11 in Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, 2024, pp 149-163 from Springer
Abstract:
Abstract Due to accelerated population aging, nursing homes have been greatly developed in China. However, most of the indoor spatial layout design of nursing homes are independent respectively and lack of connection, which can not well meet the daily life requirements of older adults. In order to ease the pressure of aging and improve the quality of life of the elderly in nursing homes, this paper aims to analyze the indoor spatial layout of nursing homes for further optimization. The methods of field observation and on-site interview were used to investigate the satisfaction of elderly people with the indoor spatial layout of nursing homes. Data analysis software Nvivo11 was adopted to qualitatively analyze the content of interviews. Older adults’ general movement patterns in the nursing home were obtained using RFID positioning technology. The results revealed that the indoor space function allocation of the nursing home was unreasonable and some space utilization rates were low. The bedroom was the place where older adults spend their most time in the nursing home. The location of elevators in nursing homes was important for spatial cohesion. The diversity of spatial functions, spatial size, and relative distance between spaces would affect older adults’ satisfaction with the spatial layout of nursing homes. This study is expected to provide nursing homes with suggestions for both space design and management service to enhance older adults’ quality of life.
Keywords: Indoor spatial layout; Nursing homes; Older adults; Satisfaction; Qualitative analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-97-1949-5_11
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DOI: 10.1007/978-981-97-1949-5_11
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