Using data collected in Hong Kong Lou, Wang, Yuan, and Lu assessed WTP (willingness to pay) for various design features in homes. They report that “We first simulate the metrics of five housing attributes under different layouts, i.e., spatial daylight autonomy (sDA), spatial glare autonomy (sGA), natural ventilation effectiveness (NVE), predicted mean vote (PMV) [temperature], and energy use intensity (EUI). Then, WTP for these attributes is disentangled from housing prices. . . . findings demonstrate that a 1 % increase in sDA, sGA, and NVE corresponds to respective increases of 1.342 %, 0.694 %, and 2.842 % in housing prices, showing that residents value greatly the presence of natural ventilation and well-lit spaces with appropriate daylight. However, no significant correlations are found for PMV and EUI, suggesting a lack of a general preference towards thermal comfort or energy consumption in the Hong Kong context. This study contributes to a deeper knowledge of key well-being attributes in housing design as well as practical insights to create housing environments that prioritise occupant well-being and enhance market value.”
Jinfeng Lou, Bolun Wang, Ziqing Yuan, and Weisheng Lu. 2024. “Willingness to Pay for Well-Being Housing Attributes Driven by Design Layout: Evidence from Hong Kong.” Building and Environment, vol. 251, 111227, https://doi.org/10.1016/j.buildenv.2024.111227