Traditional village landscapes have a cultural and regional significance, and the visual aesthetic quality of the landscape is widely regarded as a valuable resource to benefit the health and well-being of urban residents. Although the literature has analyzed the influential mechanism of landscape features on aesthetic senses, most were from a single dimension. To improve the precision of the landscape aesthetic evaluation method, this study expanded the indicators for landscape characteristics of public spaces in traditional villages by incorporating multiple dimensions, such as landscape visual attraction elements and landscape color. It explored their associations with sensory preferences in a case study in Dongshan (a peninsula) and Xishan (an island) of Taihu Lake. We used multi-source data, a semantic segmentation model, and R language to identify landscape characteristic indicators quantitatively. The research results indicated that the accuracy of the aesthetic sensory assessment model integrating multi-dimensional landscape characteristic indicators was significantly improved; in the open space of traditional villages, the public preferred a scenario with a high proportion of trees, relatively open space, mild and uniform color tones, suitability for movement, and the ability to produce a restorative and peaceful atmosphere. This study can provide a guarantee for the efficient use of village landscape resources, the optimization of rural landscapes, and the precise enhancement of traditional village habitat.

Dog ownership and dog walking brings various health benefits for urban dwellers, especially since the COVID-19 pandemic, but trigger a number of controversies. Dog parks have become increasingly significant public resources in the pandemic to support these benefits while facing intense conflicts. To develop effective dog parks in urban settings, growing numbers of scholars have provided insights into the design and management strategies for addressing the benefits and conflicts. The objective of this study is to synthesize and analyze various aspects of dog park design and management and to assess identified strategies for enhancing their benefits while mitigating their drawbacks. Following the PRISMA guidelines, a systematic study was conducted to synthesize the benefits, conflicts, and management strategies of dog parks, supported by Citespace. Benefits and conflicts in dog park design and management have been synthesized and organized according to their frequency of presence and the statistical results. We analyzed and assessed existing design and management strategies. Through this systematic study, we discovered the need obtain o po experimental evidence on effective dog park design and management to enhance their benefits while mitigating their sources of conflict and limitations in the intensity of park visitors’ physical activity in off-leash areas. Guidelines for the design and management strategies for effective dog parks were made to enhance their benefits while alleviating conflicts in the future development of sustainable dog parks that promote healthy relationships between canines and residents in urban built environments.

With global urbanization, rural tourism has become a thriving trend for urban-rural sustainable development in addition to the urban landscape. However, research on rural landscape planning is still lacking. The topography of the rural areas is complex, with mountains and buildings arranged in accordance with the terrain, and pedestrian data is difficult to collect. Therefore, this study adopts mixed methods to obtain high-precision data. This study aims to investigate the relationships between tourist behavior and spatial characteristics. The results indicated that (1) Different rural spaces formed an uneven distribution of tourists’ spatial-temporal behavior characteristics, which could be attributed to three potential factors: easy space accessibility, good visual permeability, and herd mentality; (2) Visual space had a strong influence on guiding tourists compared to the passable space; (3) Historical trees, heritage buildings and cultural legacy are the positive influencing cultural factors for tourist attraction in spaces. Furthermore, these findings provided rationales to mobilize the utilization of the rural landscape resources and enhance the sustainable urban-rural development. These findings and methods improve our understanding of the temporal–spatial tourist behavior in rural tourism, which is of great significance for rural tourism planning and cultural legacy protection.

Rapid urbanization has made urban forest scenes scarce resources, leading to a surge in the demand for high-quality rural forest scenes as alternative outdoor recreation spaces. Previous studies mainly applied survey methods, focusing on visitors’ feedback for different types of scenes from the perspective of visual quality evaluation. Nevertheless, the explanations of the relationships between various factors of scenes and visitors’ preferences are relatively superficial. This study sought to explore the distribution and characteristics of preferred rural forest scenes based on visitor reviews from social media, and using Geodetector, a geospatial statistics tool, to quantitatively analyzed the reasons for visitors’ preferences in terms of factors obtained from multi-source geospatial data. The findings are that (1) visitors are already satisfied with the natural environment but expect scenes that reflect the culture of tea; (2) spatial factor has a more robust interpretation of visitors’ preference, and although the Normalized Difference Vegetation Index (NDVI) and non-consumption indicators barely explain visitors’ preference solely when each of them is combined with other indicators, they can produce non-linear enhancement effects. Consequently, this study synthesizes visitors’ feedback and factors in rural forest scenes to understand visitors’ preferences, thus providing insights into human-centered planning.

Urban green spaces have emerged as a key outdoor natural space supporting social interaction since the pandemic and lockdowns, and particularly benefit the health and well-being of the elderly and children amid global population aging. However, the challenges of socialization among multi-age groups and the influence of green space quality on these interactions remain insufficiently understood. To create healthy multi-age spaces, this study aimed to compare the associations between urban green space quality and social interaction among the elderly, children, and the general population. To achieve this, we adopted a UAV vision method, integrating the SOSIP protocol with a vision-based behavioral recognition model to capture outdoor social interactions across multiple age groups. Multilevel regression models were applied to analyze the hierarchical data structure and assess the contributions of different green space quality indicators, including green space size, facility, amenity, aesthetic features, maintenance and cleanliness, incivility, and overall quality. The findings indicated that overall green space quality is the most significant contributor in promoting social interaction, while maintenance and cleanliness appeared equally important to children and the general population. The presence of facilities and a larger green space size encourage informal encounters and facilitate collective activities only among the general population. However, aesthetic features and the number of amenities had limited effects on the social interactions of multi-age groups. These results suggest that how green space quality influences social interaction varies among different age groups. Accordingly, targeted green space quality enhancement strategies are proposed to support the planning of sustainable, healthy multi-age spaces that could balance the needs of both the elderly and younger populations.