DOI: 10.3390/buildings16163229 ISSN: 2075-5309

Development and Preliminary Empirical Examination of an Evaluation Framework for Women’s Perceived Safety in Micro-Public Spaces: A Case Study of Public Toilets

Xiangxiang Chen, Li Zhu, Haoyu Deng, Quhan Chen, Siyu Zhang, Chenxi Song

Women’s concerns about personal safety significantly affect their use of public spaces, particularly semi-enclosed micro-public environments such as public toilets. Existing studies have not fully clarified how different spatial elements influence women’s perceived safety or how perceived-safety-oriented design priorities should be determined. This study develops and preliminarily examines an evaluation framework for women’s perceived safety in public toilets, which are treated as a highly private type of micro-public space. Grounded in Crime Prevention Through Environmental Design theory, the framework integrates visual scenario simulation, the Kano model, and the Best–Worst Method. A total of 257 female participants evaluated simulated spatial scenarios, and 10 experts assessed the relative importance of key indicators. The Kano results show that Facility condition is a must-be requirement; Lighting, Degree of enclosure, Material transparency, Signage clarity, Entrance buffer zone, Surveillance cameras, Hygiene conditions, and Graffiti and advertisements are one-dimensional requirements; and Women’s care area, Auditory conditions, Olfactory conditions, Loitering detection, and Emergency support are attractive requirements. The weighting results identify Degree of enclosure, Facility condition, and Hygiene conditions as the most important indicators. Based on these findings, the study proposes an integrated framework of “evaluation dimensions–demand attributes–relative weights–design priorities” and a design path of “basic guarantee–priority improvement–support enhancement.” The findings provide design guidance for public toilets and a methodological reference for other micro-public spaces, although the specific Kano classifications and weights require contextual recalibration.

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