Heritage buildings are significant humanistic tourism resources for a city. Yangzhou’s heritage buildings have conservation and utilization value and are a key vehicle for promoting urban tourism development. However, there is a lack of research on their spatiotemporal distribution characteristics and subdivision types. This study aims to explore the spatial and temporal clustering and distribution characteristics of Yangzhou’s heritage buildings, as well as the factors contributing to the formation of these distribution patterns, as a means of promoting the tourism development of Yangzhou. Using mathematical statistics and GIS spatial analysis methods, this study analyzes the geographical distribution patterns of 528 heritage buildings and their influencing factors by using average nearest neighbor analysis, an imbalance index, and density mapping. This study reveals the following findings: (1) The temporal distribution shows an “Λ” shape, in which ancient buildings, modern historical sites, and important modern historical sites and representative buildings account for a significant proportion. (2) The temporal center shows a trend of shifting over time, moving from the southwest to the northwest and then to the northeast. (3) The spatial distribution is uneven; most of these are clustered in Hanjiang District, Gaoyou District, and Baoying County, while few are distributed in other regions. (4) The distribution is influenced by both natural and human factors, including topography, water resources, salt merchant culture, revolutionary culture, war culture, and canal transportation culture, with humans and human factors having a more profound impact than natural factors. Based on these findings, strategies such as regional integration and route planning, the prioritization of sustainable tourism development and preservation, and culture fusion and innovative promotion are proposed in this study as references for the all-for-one tourism development and cultural dissemination of Yangzhou.

With the acceleration of global urbanisation, the pace of evolution in urban waterfront areas has intensified, consequently hastening the renewal rate of their constituent public spaces. Compared to the macro-level planning and regulation of traditional port and coastal waterfronts, balancing the historical preservation of urban heritage waterfront public spaces with contemporary demands has emerged as a critical issue in urban regeneration. This study examines the historical waterfront area of the Xiaoqinhuai River in Yangzhou, establishing a public space perception evaluation framework encompassing five dimensions: spatial structure, landscape elements, environmental perception, socio-cultural context, and facility systems. This framework comprises 33 secondary indicators. The perception assessment system was developed through a literature review, field research, and expert interviews, refined using the Delphi method, and weighted via the Analytic Hierarchy Process (AHP). Finally, cloud modelling was employed to evaluate perceptions among residents and visitors. Findings indicate that spatial structure and socio-cultural dimensions received high perception ratings, highlighting historical layout and cultural identity as strengths of the Xiaoqinhuai Riverfront public space, while significant shortcomings were noted in terms of landscape elements, environmental perception, and facilities. These deficiencies manifest primarily in limited vegetation diversity, inadequate hard paving and surface materials, insufficient landscape node design, poor thermal comfort, suboptimal air quality and olfactory perception, uncomfortable resting facilities, limited activity diversity, and inadequate slip-resistant surfaces. Further analysis reveals perceptual differences between residents and visitors: the former prioritise daily living needs, while the latter emphasise cultural experiences and recreational facilities. Based on these findings, this paper proposes targeted optimisation strategies emphasising the continuity of historical context and enhancement of spatial inclusivity. It recommends improving public space quality through multi-dimensional measures including environmental perception enhancement, landscape system restructuring, and the tiered provision of facilities. This research offers an actionable theoretical framework and practical pathway for the protective renewal, public space reconstruction, and optimisation of contemporary urban historic waterfront areas, demonstrating broad transferability and applicability.

As the development of “smart villages” and “sustainable rural tourism” increasingly becomes a focal point on the global policy agenda, tourism-oriented villages are experiencing a growing demand for digital infrastructure transformation. Against this backdrop, smart outdoor furniture emerges as a noteworthy intervention. However, existing designs for smart outdoor furniture predominantly originate from urban contexts, often failing to align with the distinct preferences, behavioural patterns, and cultural identity of rural users. This study employs a mixed-methods approach, combining Q-methodology with an extended Technology Acceptance Model (TAM), to explore rural users’ technology acceptance pathways. Through Q-sorting, four typical attitude structures were identified: Pragmatic Function-Oriented, Cultural Concern-Oriented, Smart Enhancement-Oriented, and Technology Anxiety-Oriented. These qualitative insights were integrated into an extended TAM framework and validated through a structured survey (n = 319) using Partial Least Squares Structural Equation modelling (PLS-SEM). Findings confirm that Perceived Usefulness and Perceived Ease of Use remain the strongest predictors of user attitude and behavioural intention. Among contextual factors, Function Configuration exerts significant positive influence on both PU and PEOU; Cultural Adaptation significantly enhances PU; Social Influence primarily affects PEOU; Smart Features moderately influence both dimensions; and Perceived Cost Structure affects only PU. This research extends the applicability of the TAM model within rural socio-technical contexts. It provides empirical reference for inclusive and sustainable digital infrastructure design in tourism-oriented villages, while offering practical insights and dissemination pathways for smart design strategies in public spaces within similar socio-cultural environments.