# Post-Occupancy Evaluation in High-Rise Apartent Buildings in Vietnam
## 1 Introduction
### Existing POE Research and Limitations  
Despite increasing POE studies in recent years, they have mainly focused on non-residential buildings, such as office buildings [10], academic buildings, and sports buildings [11; 12]. In contrast, POE studies in residential buildings remain limited, often characterized by small sample sizes, short monitoring durations, and restricted measurement parameters due to privacy concerns and logistical challenges.  
Several studies have attempted to analyze occupant behavior and energy consumption in residential environments. [PERSON] and [PERSON] [13] explored energy-related values and occupant satisfaction in U.S. residential and office buildings using 618 online questionnaires; however, the study lacked direct indoor environmental measurements. [PERSON] et al. [14] investigated the relationship between relative humidity levels and multiple factors related to building characteristics and occupants using measurements provided by the BETSI database. Their analysis revealed the low indoor humidity issue in Swedish dwellings during the heating season. [PERSON] et al. [15] evaluated compliance with commonly used overheating criteria defined by existing standards based on data from post-occupancy measurements and survey campaigns in 23 nearly zero-energy houses in Wallonia, Belgium. Despite the temperate local climate, summer thermal discomfort was frequently identified in their study. [PERSON] and [PERSON] [16] analyzed the indoor environment in four energy-certified buildings located in Switzerland. Design factors related to personal control of the indoor environment and personal factors were found to affect comfort ratings. [PERSON] et al. [17] investigated building and occupancy factors affecting the indoor environment quality based on three-week measurements of 42 rooms in 12 apartments in Porto, Portugal. The presence of smokers, room ventilation rates, floor area, and the number of occupants were identified as the main impact factors.  
POE studies have primarily focused on the relationship between AC use and building performance in hot and humid regions. [PERSON] et al. [18] analyzed the electricity consumption and thermal conditions in 19 Malaysian dwellings, observing that AC usage peaked at night. Understanding detailed AC usage characteristics can contribute to predicting electricity demand. However, the study lacked direct occupancy measurements, making quantifying the behavioral impact on cooling demand difficult. [PERSON] et al. [19] incorporated the occupancy rates from household surveys in their analysis of AC use in high-rise apartments in Changsha, China, but their findings were based on only six households, limiting the generalizability of their results. Other studies [20; 21; 22] have identified occupant behavior as a key factor influencing AC usage, but they often suffer from narrow scopes, small sample sizes, and inadequate measurement coverage, which hinder the ability to derive broadly applicable insights.  
Even in similar climates, variations in building typology, socio-economic conditions, and cultural preferences result in distinct OB patterns [19]. Large-scale POE studies from Southeast Asia are still scarce, particularly those incorporating the long-term monitoring of both occupancy and cooling behaviors. This gap underscores the region's need for broader POE research.