 摘要： The parking order of non-motor vehicles at a comprehensive transportation hub is a critical factor affecting transfer efficiency and travel experience. In this paper, the parking conditions of non-motor vehicles at all entrances and exits of Pingguoyuan Comprehensive Transportation Hub were studied through field observation and photographic documentation, and the parking issues and root causes at three typical access points (E, H, and B) were thoroughly discussed. It is found that non-motor vehicle parking at the hub faces three universal constraints, such as unbalanced supply and demand, uneven provision of supporting facilities, and weak parking order management. Each of the three entrances shows distinct challenges. Entrance E suffers from insufficient parking space and inadequate signage; entrance H lacks overhead shelters despite adequate basic supporting facilities; entrance B faces overloaded parking capacity and deficient on-site management. In response to these issues, differentiated improvement schemes were put forward, including expanding parking zones, installing overhead shelters, tapping underutilized space to increase parking capacity, and establishing standardized regular management mechanisms. The research findings can serve as a reference for improving the parking management of non-motor vehicles at Pingguoyuan Hub and other analogous comprehensive transportation hubs.

 摘要： To address the problems of low efficiency and poor precision in traditional forest disease monitoring, an automatic identification method for diseased trees was proposed by combining UAV multispectral remote sensing with deep learning. A vertical take-off fixed-wing UAV equipped with a Rededge-MX multispectral camera was used to acquire high-resolution multispectral images of forest areas. After preprocessing steps including radiometric calibration and aerial triangulation, the SCANet semantic segmentation model was introduced to achieve automated extraction of discolored diseased trees. The results showed that the proposed method achieved a precision of 0.909 3, a recall of 0.808 2, and a miss rate of only 0.191 8 for diseased tree identification, significantly outperforming traditional methods such as support vector machine (SVM) and BP neural network, as well as mainstream deep learning models including ResNet and DenseNet. This method enables efficient, high-precision, and automated monitoring of diseased trees in forest areas, providing technical support for the prevention and control of forest pests and diseases. 

 摘要： Exploring the evolution mechanisms of the spatial pattern of rural settlements in hilly and mountainous areas holds considerable theoretical and practical importance for advancing new urbanization and optimizing the spatial layout of rural territories. This study focuses on Chongyang County, a representative hilly and mountainous area in southern Hubei Province. Utilizing land use spatial data from three time points (2010, 2015, and 2020), an indicator system was developed from three dimensions: natural environment, geographical location, and socio-economic factors. The geodetector method and geographically weighted regression (GWR) model were employed in a comprehensive manner to quantitatively assess the primary driving factors influencing the spatial evolution of rural settlements and their spatiotemporal variations. The findings indicated that the spatial evolution of rural settlements in Chongyang County was influenced by multiple factors operating in a coordinated manner. Key determinants included slope, proximity to urban areas, geological disaster risk, and per capita GDP. Interactions between double factors exhibited either bi-factor enhancement (BE) or nonlinear enhancement (NE). The combined explanatory power of socio-economic factors and geographical location increased significantly over time. The GWR model revealed pronounced spatial heterogeneity in the driving forces. The rigid constraint of natural factors such as elevation and slope diminished progressively, whereas the positive driving effects of urban attraction, population agglomeration, and economic development intensified. This research demonstrates that the spatial reconstruction of rural settlements in the hilly and mountainous areas of southern Hubei has undergone a significant transformation, shifting from “a natural foundation-restricted type” to “one dominated by socio-economic factors and location”.

 摘要： Currently, the assessment of urban green spaces predominantly depends on macro-level statistical indicators, resulting in issues such as limited evaluation accuracy, disregard for population spatial distribution, and insufficient consideration of the needs of vulnerable groups. Focusing on urban park green spaces as the research subject and residential communities as the smallest evaluation units, this study employs open-source network data and GIS spatial analysis techniques to develop a green space equity evaluation system encompassing three dimensions: quantitative equity, spatial accessibility, and social equity. The study employs the location entropy method to assess the alignment of green space quantity, utilizes the Gaussian two-step floating catchment area method to measure spatial accessibility, and performs a social equity analysis by integrating socioeconomic attributes of communities, including housing prices, floor area ratios, and construction years. This approach facilitates a systematic examination of the issues present in the urban park green space layout. The research findings indicate the prevalence of several urban phenomena, including the uneven distribution of green spaces, marked disparities in resources between newly developed and older urban areas, and significant inequalities in green space accessibility among various social groups. Additionally, optimization strategies have been proposed. This study has enhanced the method for assessing green space equity at a fine spatial scale, thereby offering both theoretical insights and practical foundations for urban green space system planning, the advancement of equalization of green space services, and the promotion of park city development.

 摘要： Pocket parks play a positive role in enhancing the urban thermal environment and human thermal comfort. Existing research mostly emphasizes green space area, vegetation types, and the overall cooling effects of urban parks. However, investigations into the relationship between the internal green space layout pattern within pocket parks and their impact on thermal comfort remain limited. To systematically clarify the relationship between green space layout patterns and human thermal comfort, this study focused on pocket parks within the high-density urban environment of Beijing. The ENVI-met microclimate model was employed to simulate seven distinct green space layout patterns, using an all-hard pavement scenario as the control. The physiological equivalent temperature (PET) was employed to assess human thermal comfort across various scenarios. The findings showed the impact of green space fragmentation degree, shape complexity, and green belt orientation on thermal comfort. It was observed that the average temperature reduction among the seven green space layout patterns was relatively small overall. Altering the green space layout alone proved insufficient to significantly decrease the overall air temperature. In contrast, PET exhibited greater sensitivity to changes in green space layout, particularly indicating a more pronounced improvement in thermal comfort at 07:00 and 18:00. Further analysis indicated that increased fragmentation, edge density, and shape complexity did not necessarily enhance thermal comfort. Instead, the continuity of green spaces, the presence of tree canopy shading, and the organization of ventilation pathways were more critical factors in improving PET. This study offers valuable insights for optimizing the green space layout of pocket parks in Beijing and informs the design of climate-adaptive strategies in high-density urban environments.

 摘要： In accordance with the requirements of curriculum ideological and political education and ecological civilization education, this paper took the course History of Chinese and Foreign Gardens as the research basis to sort out the traditional ecological wisdom accumulated in Chinese and foreign gardens and analyze its educational value for ideological and political cultivation. Drawing on frontline teaching practice, it explored the integration path of ecological wisdom and ideological-political elements from 4 dimensions: classroom design, teaching methods, extracurricular practice and assessment evaluation. The implementation strategies proposed in this paper provided practical references for the construction of curriculum ideological and political education in similar professional history and theory courses.

 摘要： To systematically elucidate the adaptation mechanism of Zenia insignis to karst drought habitats and to provide theoretical support for the rational development and utilization of its resources as well as ecological restoration of rocky desertification, this paper systematically reviews research findings on Z. insignis at home and abroad. It summarizes research progress from the perspectives of provenance reproductive characteristics, morphological anatomy and physiological drought resistance mechanisms, rhizosphere symbiotic microbial interaction, community site adaptation characteristics, molecular biology, and resource utilization. Existing studies have confirmed that Z. insignis can adapt to karst drought stress through multiple pathways, including specialized root architecture, physiological osmotic regulation, antioxidant system modulation, and synergistic symbiosis with arbuscular mycorrhizal fungi. However, there remain issues such as fragmented research on adaptation mechanisms, insufficient exploration of indigenous microbial resources, an imperfect multi-trait breeding system for superior varieties, and a lack of mixed afforestation models.  In the future, it is necessary to rely on multi-omics joint analysis and in-situ field controlled experiments to systematically elucidate the multi-dimensional synergistic drought resistance mechanisms of Zenia insignis, screen indigenous microbial strains and superior provenances adapted to karst habitats, and establish a scientific and large-scale ecological restoration afforestation system for rocky desertification. All these efforts will promote the coordinated development of ecological governance and forestry carbon sink industry in the karst region of northwestern Guangxi. 

 摘要： In the context of global warming and the in-depth advancement of China’s dual carbon strategy, high-energy-consuming commercial blocks have emerged as critical breakthrough points for energy conservation and emission reduction in the urban architecture field. This study introduces the local climate zone (LCZ) theory and develops a parametric numerical simulation platform by selecting ten typical dense low-rise commercial blocks (LCZ3) within the central area of Beijing as case studies. Using Pearson correlation analysis and multiple linear regression models, the research quantitatively clarifies the regulatory effects and transmission mechanisms of spatial form factors on the carbon emission intensity associated with building operations. Research has indicated that the sensitivity of each factor decreases in the following order: building density (BD) > sky visibility factor (SVF) > building height-to-width ratio (H/D) > floor area ratio (FAR). Based on these findings, the study proposes differentiated low-carbon planning and design strategies across dimensions such as development intensity, surface coverage, three-dimensional geometry, and spatial permeability. These strategies offer scientific quantitative guidelines for the renewal of existing high-density urban blocks and for refined low-carbon governance in cold regions.

 摘要： The flower border is a distinctive landscape element that integrates ecological, artistic, and cultural functions in garden landscapes, playing an increasingly important role in urban renewal and cultural inheritance. Based on the theory of cultural landscape gene translation and practical experience in flower border competitions, this article constructs a technical framework consisting of three links: “cultural decoding,technical translation and practical implementation”. A themed flower border case in Henan Province verifies the practicability of the three-tier translation model encompassing symbolic, ecological and emotional dimensions, and systematically sorts out the organization mechanism, evaluation standards, plant matching principles, and spatial design techniques of flower border competitions. Furthermore, this study proposes the application approaches of flower borders in urban renewal, including strategies such as cultural gene implantation, long-term plant community construction, and promotion of refined construction techniques. The results show that the dual-engine model of cultural translation and competition practice can not only address prominent drawbacks of traditional flower borders that focus on visual appeal at the expense of cultural depth and prefer the short-term effects to long-term sustainability, but also provide replicable and cost-effective technical solutions for the landscape upgrading of existing urban spaces, thus providing a new perspective for academic innovation and practical promotion of flower border design.

 摘要： Under the backdrop of rural revitalization, rural landscapes serve as the core attraction of rural tourism, with their quality directly influencing visitor experiences. However, current rural landscape planning often adheres to the traditional "top-down" material zoning model, and neglects the perceptual experiences from the visitor's perspective, leading to a misalignment between landscape offerings and public emotional value demands. To address this core issue, Yanshou Town in Changping District, Beijing is taken as the research object in this paper, and a classification and reconstruction method for rural landscape features from a visitor-oriented perspective is explored. By scraping relevant travelogue data from RedNote, the study constructs an unsupervised machine learning framework based on the LDA topic model, conducting in-depth clustering of the semantic space perceived by visitors. The rural landscapes of Yanshou Town from the perspective of tourists are categorized into five types: mountainous agricultural and forestry landscapes, historical and cultural landscapes, seasonal floral landscapes, artistic experiential landscapes, and linear recreational landscapes. Each category is analyzed individually, and corresponding improvement suggestions are provided, offering a reference pathway for the precise governance and differentiated enhancement of rural landscape spaces in Yanshou Town.