Under high-density urban development, Residential Pilotis have been widely constructed in Chinese cities as a critical measure to mitigate public space shortages. However, a mismatch between spatial supply and residents’ needs remains prevalent. This study develops a resident satisfaction evaluation framework comprising 23 indicators across four dimensions: Spatial Usability and Sociality, Landscape and Visual Experience, Physical Environment Comfort, and Governance and Operational Maintenance. Using the Integrated KANO-IPA Model, 553 questionnaires from Hefei were analyzed to classify the quality attributes and improvement priorities of the indicators. Results suggest a structural supply–demand mismatch, with the Governance and Operational Maintenance dimension emerging as a particularly prominent area of concern. Satisfaction with Must-be and One-dimensional attributes, especially cleanliness and facility maintenance, age-friendly design, and resting facilities, all of which are highly valued by residents, is generally low. Conversely, landscape-related attributes receive higher satisfaction and have a lower priority for improvement. Based on these findings, a phased optimization strategy is proposed, encompassing short-term priority improvements, medium-term gradual enhancements, and long-term maintenance or flexible adjustments. This research provides an operable methodological framework for supply–demand diagnosis and optimization in similar spatial contexts.
Wang et al. (Sun,) studied this question.