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Developing an integrated indoor built environment–quality of life model for the elderly in public and subsidized housing

Author(s):


Medium: journal article
Language(s): English
Published in: Engineering, Construction and Architectural Management, , n. 7, v. 26
Page(s): 1498-1517
DOI: 10.1108/ecam-02-2018-0054
Abstract:

Purpose

The growth rate of the aging population raises the demand for and challenges of public and subsidized (P&S) housing for the elderly. The decline in elderly ability increases their dependence on the quality of facilities provided by their residential apartment. Hence, the purpose of this paper is to develop an integrated indoor built environment–quality of life model for the elderly in P&S housing estates.

Design/methodology/approach

A questionnaire survey, including scales for 4 quality of life (QoL) domains (physical health, psychological health, social relationships and overall QoL), and 13 indoor built environment (BE) components were identified. In total, 365 survey data were collected from the elderly in 18 political districts of Hong Kong, while reliability analysis, multiple regression analysis and structural equation modeling were adopted in the data analysis.

Findings

Based on the congruence of results of these statistical analyses, it was revealed that: furniture and fixtures predict all the four QoL domains of the elderly; lighting and color induce social relationships; and overall QoL is predicted by distance and handrails.

Originality/value

Several recommendations were made in accordance with the research results, such as review minimum spacing requirements to provide walking distance for elderly physical activity, investigate the micro-climate for appropriate building orientation, consider the changing body size of the elderly for supply of furniture, use warm colors with high levels of illumination, and so on.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/ecam-02-2018-0054.
  • About this
    data sheet
  • Reference-ID
    10576747
  • Published on:
    26/02/2021
  • Last updated on:
    26/04/2021
 
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