This study examines the traditional villages of the Tujia and Miao ethnic groups in Xiangxi Prefecture, western Hunan, and clarifies their spatial distribution and residential cultures through ArcGIS-based spatial analysis combined with extensive field investigation. On the basis of a systematic comparative framework, it explores differences in village patterns, architectural forms, and folk belief systems between the two groups. The results indicate that (1) in terms of spatial distribution, Miao villages are mainly located to the south of the Wuling Mountains, while Tujia villages are concentrated to the north, with the mountainous ranges of Baojing and Guzhang counties forming a clear transitional belt; (2) regarding village layout, Miao villages are generally clustered with “mountain-backed and water-adjacent”, whereas Tujia villages tend to adopt a more dispersed and defensive pattern than “mountain-anchored and water-distanced”; (3) in dwelling form, both groups share similar basic spatial organization, yet Miao dwellings exhibit greater diversity in construction materials, including timber, stone, and rammed earth; (4) in terms of belief and ritual, distinct folk practices and symbolic systems are embedded in the spatial organization and decorative features of each group’s villages. These findings deepen the understanding of cultural diversity among ethnic minorities in western Hunan and provide a theoretical basis for authenticity-oriented conservation and the sustainable development of traditional villages in ethnic regions.

Urban living streets are core venues for promoting public health; however, existing studies often lack a multidimensional quantitative evaluation system that integrates physical, psychological, and social health dimensions. To address this gap, this study constructs a space quality evaluation model comprising 15 indicators across three health dimensions, integrating multi-source data (including Street View Imagery, POI data, and field measurements). Taking six typical living streets in the central urban area of Changsha as a case study, we applied the Analytic Hierarchy Process to determine indicator weights and evaluate space quality. The results reveal significant spatial heterogeneity: (1) The comprehensive quality scores vary markedly, with Cai’e South Road ranking highest (66.62) and Zengjiawan Lane lowest (28.37); (2) key factor analysis indicates that seven indicators—including Street Width, Motorization Level, and POI Functional Diversity—are significantly associated with space quality, among which Sidewalk Width and Relative Sidewalk Width are identified as critical determinants; (3) addressing identified deficits in slow-traffic spaces and service amenities, this study proposes health-oriented micro-renewal strategies. This study provides a transferable analytical framework and practical decision support for the assessment and improvement of urban living street space quality.