ABSTRACT Thermal comfort is essential for optimized performance of daily activities. Continuous variation in the thermal conditions of the environment influences humans' thermoregulation adaptive behaviour, in which people seek to find the most preferred places. Detecting individuals' behaviour and correlated physical adaption measures can help in enhancing the built environment and minimizing energy consumption. Occupants' behaviour in buildings has been widely investigated, focusing largely on energy consumption, however, fewer studies have examined the socio-economic aspects in domestic spaces. This study investigates the relationship between indoor thermal conditions of dwellings and occupants' adaptive behaviour in response to thermal seasonal variations. A field survey was conducted in a residential compound in Amman, Jordan, to detect occupants' spatial behaviour in 35 apartments in response to thermal seasonal changes. The results revealed that spatial behaviour was used as an effective adaptive thermoregulation technique, driven by socio-economic aspects. Seasonal thermal variation motivated occupants to move across their apartment seeking the most thermally preferred zones. The occupants' behaviour was based on achieving thermal satisfaction, and on their performed activity at the occupied zone. The developed model is based on family size and other family characteristics; and is proposed to optimize domestic spatial needs in apartment buildings.

中文翻译：

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住宅空间的热季节变化和居住者的空间行为

摘要 热舒适性对于优化日常活动的表现至关重要。环境热条件的持续变化会影响人类的体温调节适应性行为，人们在其中寻求找到最喜欢的地方。检测个人的行为和相关的身体适应措施有助于改善建筑环境并最大限度地减少能源消耗。居住者在建筑物中的行为已被广泛调查，主要集中在能源消耗上，然而，很少有研究调查家庭空间的社会经济方面。本研究调查了住宅的室内热条件与居住者响应热季节变化的适应性行为之间的关系。在约旦安曼的一个住宅区进行了实地调查，检测居住者在 35 间公寓中响应热季节变化的空间行为。结果表明，空间行为被用作一种有效的适应性体温调节技术，受社会经济方面的驱动。季节性热变化促使居住者在他们的公寓中移动，寻找最热的首选区域。居住者的行为基于达到热满意度，以及他们在居住区进行的活动。开发的模型基于家庭规模和其他家庭特征；并建议优化公寓楼的家庭空间需求。受社会经济因素驱动。季节性热变化促使居住者在他们的公寓中移动，寻找最热的首选区域。居住者的行为基于达到热满意度，以及他们在居住区进行的活动。开发的模型基于家庭规模和其他家庭特征；并建议优化公寓楼的家庭空间需求。受社会经济因素驱动。季节性热变化促使居住者在他们的公寓中移动，寻找最热的首选区域。居住者的行为基于达到热满意度，以及他们在居住区进行的活动。开发的模型基于家庭规模和其他家庭特征；并建议优化公寓楼的家庭空间需求。