Abstract
The nexus of thermal comfort, affordability, and resilient buildings is receiving great attention in the rapidly urbanizing world. Understanding the thermal comfort needs, and preferences of the low-income population are crucial in developing an equitable approach to fight climate change and meet sustainable development goals. However, thermal comfort is a contextual construct that requires a localized rather than a universal one-size-fits-all approach. This study proposes a novel AdaptiveComfort forLow-Income Housing (ACL) model for the free-running low-income housing of Mumbai, India through a longitudinal field study method. 6266 observations from low-income housing located within the warm humid region were gathered to examine the thermal comfort conditions of the vulnerable population. Lower thermal sensitivity and a wider comfort temperature band of 25.1 °C to 31.9 °C for occupants were observed as compared to their affluent counterparts. The existing national and international comfort standards proved to be ineffective in predicting comfort conditions for Indian low-income occupants. The localized ACL model developed here is a first-of-its-kind attempt in the Indian context toward improving thermal comfort and built environment sustainability in low-income housing.
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