2019 CSCE Annual Conference - Laval (Greater Montreal) Conference
Post Occupancy Evaluation (POE) assesses building performance from the occupants’ perspective by exploring the links between satisfaction levels and users’ response behavior after they have adjusted to the building. It has been used to assess projects from the procurement and pre-design stages through building occupancy. Residents’ satisfaction level could be used to identify short- and long-term problems, designate feasible solutions, and provides an effective indicator to improve the living environment. This paper will use a POE survey to examine the existing situation of affordable housing in the USA, and to develop a set of indicators that can lead to create sustainable affordable housing for residents. The survey consists of ten parts that covered different aspects of affordable housing project that are related to the Triple Bottom Line plus One (TBL+1) pillars for sustainability. The survey respondents were asked to rank their level of satisfaction, which results in a natural ordering of very dissatisfied to very satisfied. Being that this variable is ordered, an ordered econometric modeling framework is considered: the ordered probit model. The ordered probit model identifies statistically significant indicators that impact a person’s probability of reporting a specific level of satisfaction. Responses from 72 residents of a family housing at Oregon State University were statistically modeled. The results of the survey analysis revealed a set of sustainable indicators that could be used to create sustainable affordable housing. Recommendations are presented to highlight the importance of those indicators that influence residents’ satisfaction level. In addition, suggestions are made to mitigate the weak points that have led to dissatisfaction among residents and so to improve affordable housing. A set of sustainable indicators based on residents’ point of view will provide a basis for designing sustainable affordable housing that satisfies its users. The results from this study could be used by housing authorities to achieve sustainable affordable housing.