Determining predictors of residential satisfaction and intention to move during the covid-19 pandemic among white-collar employees with work-from-home experience in landed dwelling housing in Bangkok

The Novel Coronavirus 2019 (COVID-19) pandemic has caused societal changes, including in terms of work from home (WFH). Since January 2020 in Thailand, several companies have shifted from office workplaces to full-scale or temporary WFH for white-collar employees who achieve professional tasks remotely. Insofar as worker time spent indoors has increased, what is the overall residential satisfaction (ORS) and intention to move (ITM) under WFH during the COVID-19 pandemic? The objective of this research was to investigate overall residential satisfaction and intention to move predictors for housing, neighborhood, and relevant variables of WFH characteristics pertinent to the COVID-19 pandemic. Data was collected by online and onsite questionnaires from 293 samples, all white-collar employees who inhabit landed houses. This study consisted of two models: ORS was analyzed by multiple linear regression, satisfaction level, the relationship between sample socio-demographics, independent-samples t-test, and one-way analysis of variance (ANOVA); and ITM was computed by binary logistic regression and Pearson's chi-squared test. Results predicting overall residential satisfaction comprised eight vital predictors: 1) neighborhood appearance; 2) house size; 3) ventilation; 4) privacy; 5) comfort without air conditioning; 6) distance from healthcare centers; 7) domestic design, and 8) neighborhood cleanliness, at a significance level of p<0.05. Higher overall residential satisfaction levels were observed to be statistically significant in terms of private transportation mode, private garden, inhabiting a housing estate, age, marital status, household income, homeownership, number of WFH days, private workroom, house size, house vintage, and single-detached housing status. Results for determinants of intention to move: a) marital status; b) personal monthly income < 25,000 THB; c) household monthly income > 80,000 THB; d) more than four family members; and satisfaction with e) the number of bathrooms; f) house appearance; g) population density; with less satisfaction about h) green areas/open spaces were likely to decrease intention to move from current house. Finally, associations were observed among WFH satisfactions with the intention to move from variables such as ventilation, workspace, visual comforts, quiet, and personal data, including a private garden, larger home, single-detached house, and private transportation use.

2019新型冠状病毒（COVID-19）疫情引发了社会层面的诸多变革，居家办公（work from home, WFH）便是其中之一。自2020年1月起，泰国多家企业已将白领员工的办公模式从线下办公室转为全面或临时居家办公，允许其远程完成专业工作任务。随着员工室内停留时间显著增加，新冠疫情期间采用居家办公模式的员工，其整体居住满意度（overall residential satisfaction, ORS）与搬家意愿（intention to move, ITM）状况如何？本研究旨在探究新冠疫情背景下，与居家办公特征相关的住房、社区及其他相关变量对整体居住满意度与搬家意愿的预测作用。本研究通过线上与线下问卷共收集到293份有效样本，受访者均为居住于独栋住宅的白领员工。本研究构建了两类分析模型：针对整体居住满意度，采用多元线性回归进行建模，并通过独立样本t检验与单因素方差分析（analysis of variance, ANOVA）探究样本社会人口学特征与满意度水平的相关关系；针对搬家意愿，则采用二元逻辑回归与皮尔逊卡方检验开展计算分析。整体居住满意度的八项关键预测因子分别为：1）社区外观；2）房屋面积；3）通风条件；4）隐私性；5）无空调环境下的舒适度；6）距医疗中心的距离；7）家居设计；8）社区清洁度，上述因子均达到p<0.05的显著性水平。研究发现，以下因素与更高的整体居住满意度存在显著统计学关联：私人交通出行方式、私人花园、居住于住宅小区、年龄、婚姻状况、家庭月收入、房屋所有权、每周居家办公天数、专属工作间、房屋面积、房屋房龄以及独栋住宅身份。影响搬家意愿的决定因素包括：a）婚姻状况；b）个人月收入低于25000泰铢；c）家庭月收入高于80000泰铢；d）家庭常住人口超过4人；以及对e）卫生间数量、f）房屋外观、g）人口密度的满意度水平，且对h）绿地/开放空间满意度较低的群体，其从现有住房搬家的意愿会有所降低。最终，研究观察到居家办公满意度与搬家意愿之间存在多项关联，相关变量涵盖通风条件、工作空间、视觉舒适度、静谧性与个人数据，同时也涉及私人花园、更大户型住房、独栋住宅以及私人交通出行等因素。