Abstract
In any industrial planning project in Vietnam, housing for workers is always a top concern. However, these planned accommodations have not met workers' needs; Instead, they usually opted for housing out of planning. By carrying out a field survey, using exploratory factor analysis (EFA) and multiple regression methods, this research will discover new factors and examine the relationships among variables to determine the elements that influence the workers' choice in Ho Chi Minh City (HCMC). It may lead to the planning re-evaluation and adjustments to meet the demands of workers. Keywords: Workers' decision; Accommodation types; Exploratory factor analysis (EFA); Multiple regression analysis. eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5i15.2460.
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