Sustainable Urban Landscape Quality: A User-Perception Framework for Public Space Assessment and Development
Yanyan Huang, L Ye, Ye Chen
Abstract
With rapid urbanization, enhancing the quality of public spaces is critical to residents’ well-being and sustainable urban development. However, user perceptions of these spaces remain insufficiently quantified. This study introduces a perception-based evaluation framework encompassing four dimensions: service, spatial, cultural, and aesthetic. A three-dimensional importance-performance analysis (3-D IPA) model is applied to assess two multifunctional public spaces in Wuhan—the Citizens’ Home (CH) and the Creative World Industrial Park (CWIP)—with the aim of identifying user-prioritized attributes that inform sustainable design interventions. The findings reveal the following: (1) At CH, spatial perception (importance = 3.93; performance = 4.02) received the highest ratings, particularly for openness and ecological pavement, highlighting areas for green infrastructure improvement. (2) At CWIP, cultural perception (importance = 3.75; performance = 3.73) dominated, with a need to enhance the signage systems and cultural integration for greater place identity. (3) Optimization priorities included energy-efficient lighting, entrance enhancements, and recreational layout improvements at CH, and thematic diversity and wayfinding systems at CWIP. (4) The 3-D IPA framework effectively identifies user-perceived priorities and supports experience-driven, resource-conscious spatial improvements. This study provides a user-centered, data-informed approach for evaluating and optimizing urban public spaces, offering practical strategies to align spatial quality with long-term sustainability goals.