A Causal Model for Environmental Design of Residential Community for Elderly Well-Being in Thailand
Authors: Porntip Ruengtam
Abstract:
This article is an extension of previous research presenting the relevant factors related to environmental perceptions, residential community, and the design of a healing environment, which have effects on the well-being and requirements of Thai elderly. Research methodology began with observations and interviews in three case studies in terms of the management processes and environment design of similar existing projects in Thailand. The interview results were taken to summarize with related theories and literature. A questionnaire survey was designed for data collection to confirm the factors of requirements in a residential community intended for the Thai elderly. A structural equation model (SEM) was formulated to explain the cause-effect factors for the requirements of a residential community for Thai elderly. The research revealed that the requirements of a residential community for Thai elderly were classified into three groups when utilizing a technique for exploratory factor analysis. The factors were comprised of (1) requirements for general facilities and activities, (2) requirements for facilities related to health and security, and (3) requirements for facilities related to physical exercise in the residential community. The results from the SEM showed the background of elderly people had a direct effect on their requirements for a residential community from various aspects. The results should lead to the formulation of policies for design and management of residential communities for the elderly in order to enhance quality of life as well as both the physical and mental health of the Thai elderly.
Keywords: Elderly, environmental design, residential community, structural equation modeling.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1340238
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[1] United Nations, Department of Economic and Social Affairs, Population Division, World Population Ageing 2015. New York, 2015.
[2] P. Ruengtam, “Modelling Design and Management of Residential Community for Enhancing Elderly Well-Being in Thai Cultural and Spiritual Environments,” Journal of Environmental Design and Planning Nakhara, Vol. 12, pp.1-12, October, 2016.
[3] The Thailand Nation Elderly Committee, the Yearly Report of Thai Elderly Situation 2012. Bangkok: The Ministry of Social Development and Human Security Thailand, 2012.
[4] The National Committee on the Elderly, the Ministry of Social Development and Human Security Thailand. The 2nd National Plan on the Elderly (2002-2021). Bangkok: The Ministry of Social Development and Human Security Thailand, 2009.
[5] World Health Organization; WHO. Retrieved from http://www.who.int/healthinfo/survey/ageingdefnolder/en/. Accessed on 18/12/2016.
[6] R. Plunz, Design and the Public Good. Massachusetts: MIT, 1982.
[7] University at Buffalo, Environmental Design. Retrieved from http://admissions.buffalo.edu/academics/programs/env.php, accessed on 18/12/2016.
[8] W.B. Jonas, R.A. Chez, “Toward Optimal Healing Environments in Health Care,” The Journal of Alternative and Complementary Medicine, Volume 10, pp. S-1–S-6, Supplement 1, 2004.
[9] C. Nelson, T. West, C. Goodman, “The hospital built environment: what role might funders of health services research play?” Rockville, MD: Agency for Healthcare Research and Quality; 2005. Aug, Contract no: 290-04-0011. AHRQ Publication No. 06–0106-EF, 2005.
[10] J. Paul, Nadarajah, Yaso, H. Karen, and S. Victoria, Sustainable Communities, Sustainable Development: Other Paths for Papua New Guinea (p. 14). Honolulu: University of Hawaii Press, 2012.
[11] WHO Regional Office for Europe. Policies and Practices for Mental Health in Europe, Copenhagen, Denmark, 2008, p. 71.
[12] B. Perkins, J. D. Hoglund, D. King, and E. Cohen, Building Type Basics for Senior Living, New Jersey: John Wiley & Sons, Inc, 2004.
[13] J. C. Nunnally, Psychometric Theory, 2nd, New York: McGraw-Hill Inc, 1978.
[14] B. G. Tabachnik, L. S. Fidel, Using multivariate statistics, 4th ed. Massachusetts: Allyn & Bacon, 2001.
[15] B. Xiong, M. Skitmore, and B. Xia, “A critical review of structural equation modeling applications in construction research,” Automation in Construction, 49, pp. 59-70, 2015.
[16] B. M. Byrne, Structural Equation Modeling with AMOS, basic concepts, applications, and programming, New York: Routledge Taylor & Francis Group, 2010.
[17] J. L. Arbuckle, IBM SPSS Amos 20 User’s Guide, Crawfordville: IBM Corporation, 2011.