摘要 : Electric Vehicles (EVs), including Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs), offer a key opportunity for reducing greenhouse gas emissions from the transportation sector. Understanding the drivers of EV adoption will help develop targeted EV promotion strategies. However, most existing studies focus on Europe and North America, with limited research on China, the world's largest market for both fuel vehicles and EVs. Using compulsory vehicle insurance data, this study investigates the factors driving EV adoption growth across 336 Chinese cities, particularly focusing on their differences between BEVs/PHEVs and regional variations in these effects. In China, BEV adoption growth is concentrated in urbanised, infrastructure-rich east and southeast areas, while PHEV adoption is surging in the less urbanised, harsher-climate northwest and north-central regions. The global regression results identified differing drivers of BEV/PHEV adoption growth. BEV adoption growth is associated only with environment factors, likely due to their impact on the BEV range and thus potential buyers' range anxiety. Conversely, PHEV adoption growth is driven by policy-related factors, which may be due to PHEVs are economical and flexible range option and are less dependent on charging facilities. MGWR results show demographic factors and slope have spatially consistent effects on EV adoption, whereas energy price, temperature, income, and charging facility exhibit regionally varying impacts and even different correlation directions across regions. These findings highlight the need for tailored EV policies for BEVs/PHEVs and specific regions to accelerate transportation electrification, optimise investments, and support carbon neutrality

摘要 : Lion Grove was established in 1342 during the Yuan Dynasty and is one of the four most famous classical gardens in China. It was recognized as a UNESCO World Heritage Site in 2000. Although Lion Grove is now regarded as a private garden representing the culture of Confucian scholars, it was originally a Chan Buddhist garden during its inception in the Yuan Dynasty. This study examines the natural landscapes of Lion Grove at its inception, focusing on four main aspects: the philosophy of nature, planning intent, creators, and the philosophical ideas they represent. Key findings include the following: Firstly, Lion Grove's attitude towards nature is rooted in China's indigenous culture, making it both a physical expression of Chan philosophy and a space reflecting the scholar–bureaucrats' vision of an ideal landscape. Secondly, from the perspective of landscape planning, the Lion Grove of the Yuan Dynasty placed greater emphasis on natural elements compared to its modern counterpart, with rock landscapes serving as the core element throughout the garden. Thirdly, hermitic philosophy emerged as a significant cultural theme alongside Chan Buddhism during the Yuan Dynasty. Fourthly, the landscape elements of Lion Grove symbolize Chan Buddhist wisdom and the hermit's idealism, with poetry playing a key role in conveying these cultural ideals, preserving the site's early philosophical significance.

摘要 : The underground living center (ULC) offers a new option to meet the daily life needs of urban residents. However, limited research from the urban centers system perspective has led to an insufficient understanding of the functional roles and hierarchical structure of ULCs. In this study, the central urban area of Nanjing serves as a case study. Two centrality indicators are selected: the spatial density of underground consumer service facilities and the spatial density of their popularity indices. Using multiple spatial analysis methods, ULCs are identified, classified, and their spatial distribution characteristics analyzed. Following this, a comparative analysis with the planned centers system is conducted, and targeted improvement suggestions are proposed. The results indicate that both facility density and popularity index exhibit a multi-center, ring-layered spatial distribution pattern, with popularity index displaying a more concentrated distribution. ULCs in Nanjing's central urban area form a three-tier hierarchy—city-level, sub-city-level, and district-level. ULCs in Nanjing remain concentrated in established urban cores, suggesting that physical connectivity alone is insufficient to achieve spatial integration underground. ULC formats are relatively homogeneous, with lower popularity indices in sectors outside the catering industry. Discrepancies between the planned centers system and those formed through actual development highlight the need for dynamic adjustments.

摘要 : This study addresses the sustainable retrofitting of heritage buildings, balancing modern efficiency with heritage preservation. Using a Suzhou case study, this research integrates multiobjective optimization and Space Syntax analysis to tailor sustainable retrofit strategies for a heritage complex. The framework balances energy efficiency, historical value, and architectural integrity by customizing measures for individual buildings. The proposed solution reduces energy consumption by up to 37% with lower negative historic impacts and initial costs compared with solutions proposed by conventional optimization methods. These results demonstrate that advanced optimization combined with spatial analysis provides a robust, quantitative basis for harmonizing energy performance with heritage conservation.

摘要 : Attractive territorial space research in the context of national spatial planning is an important way to build and improve the new period of national spatial pattern, explore its connotation mechanism and spatial identification path is important for enhancing regional cultural confidence, enriching social life, and protecting the ecological environment. Taking Dunhuang City, a typical city in the desert oasis area of northwest China, as an example, we constructed the evaluation index system for the identification of Dunhuang's attractive territorial space, used the gray correlation model, kernel density analysis, standard deviation ellipse and other spatial analysis methods to comprehensively identify the attractive territorial space of Dunhuang City, and put forward a spatial development strategy for the identification results. The results of the study show that: (1) Dunhuang's attractive territorial space is a spatial distribution situation of "large dispersion, small concentration", and the attractive territorial space is a continuous spatial pattern in the southeast and dispersed spatial pattern in the northwest. (2) Dunhuang's existing attractive territorial space is closely related to the high-density areas in the attractive territorial space, and the historical and humanistic value is the main evaluation factor affecting the existing attractive land space. Potentially attractive territorial space is positively correlated with the low-density area of attractive territorial space, and the natural ecological value is the main evaluation factor affecting the potentially attractive territorial space. (3) Dunhuang's attractive territorial space is oriented in an east-west direction, and Dunhuang's attractive territorial space is most influenced by the Gobi Desert, the oasis water system, and history and culture. (4) Dunhuang's attractive territorial space has formed a charismatic spatial system structure of "charismatic cities leading development, charismatic corridors linking development, and charismatic nodes shaped by classification", and the six high-quality attractive spaces constitute Dunhuang's high-quality territorial spatial development pattern.

摘要 : A well-designed visual environment in community third places has significant positive effects on residents' emotional well-being. Only a few studies have examined these effects' therefore, this study comprehensively explores the effect of the visual environment on emotions through perception evaluations and physio-logical feedback data in a community café. The results show that light color temperature, light illuminance, spatial scale, interface decoration, illumination mode, and table and chair layout have significant effects on perception evaluation, while physiological feedback is significantly affected by light illuminance, spatial scale, illumination mode, and indoor plants. Neutral or warm light color temperatures, moderate or larger spatial scales, more interface decorations, and arranged table and chair layouts can significantly enhance positive emotions such as joy and optimism. Larger or smaller spatial scales, mixed or natural illumination modes, and fewer indoor plants significantly improve the fixation count and saccade count. In addition, there is a weak correlation between perception evaluation of emotions and physiological feedback. The findings of this study provide a scientific basis for improving the visual environment of the community third places and promoting the emotional recovery of residents.

摘要 : Urban regeneration is pivotal to sustainable development, requiring innovative strategies that align social dynamics with spatial configurations. Traditional paradigms increasingly fail to tackle systemic challenges—neighborhood alienation, social fragmentation, and resource inequality—due to their inability to integrate human-centered spatial governance. This study addresses these shortcomings with a novel multidimensional framework that merges social perception (life satisfaction) analytics with spatial quality (GIS-based) assessment. At its core, we utilize geospatial and machine learning models, deploying an ensemble of Gradient Boosted Decision Trees (GBDT), Random Forest (RF), and multiscale geographically weighted regression (MGWR) to decode nonlinear socio-spatial interactions within Suzhou's community environmental matrix. Our findings reveal critical intersections where residential density thresholds interact with commercial accessibility patterns and transport network configurations. Notably, we highlight the scale-dependent influence of educational proximity and healthcare distribution on community satisfaction, challenging conventional planning doctrines that rely on static buffer-zone models. Through rigorous spatial econometric modeling, this research uncovers three transformative insights: (1) Urban environment exerts a dominant influence on life satisfaction, accounting for 52.61% of the variance. Air quality emerges as a critical determinant, while factors such as proximity to educational institutions, healthcare facilities, and public landmarks exhibit nonlinear effects across spatial scales. (2) Housing price growth in Suzhou displays significant spatial clustering, with a Moran's I of 0.130. Green space coverage positively correlates with price appreciation (β = 21.6919 ), whereas floor area ratio exerts a negative impact (β = −4.1197 ), highlighting the trade-offs between density and property value. (3) The MGWR model outperforms OLS in explaining housing price dynamics, achieving an R2 of 0.5564 and an AICc of 11, 601.1674. This suggests that MGWR captures 55.64% of pre- and post-pandemic price variations while better reflecting spatial heterogeneity. By merging community-expressed sentiment mapping with morphometric urban analysis, this interdisciplinary research pioneers a protocol for socio-spatial integrated urban transitions—one where algorithmic urbanism meets human-scale needs, not technological determinism. These findings recalibrate urban regeneration paradigms, demonstrating that data-driven socio-spatial integration is not a theoretical aspiration but an achievable governance reality.

摘要 : Ancient architecture in Tibet has attracted considerable research attention because of its historical, religious, and artistic significance. Because the design and construction of ancient buildings often do not have the same detailed documentation as modern buildings, it is difficult to accurately simulate their structural properties. To study the structural performance of ancient buildings, the Tibetan ancient architecture structural performance analysis method based on finite element analysis is proposed. To better reflect the actual situation of engineering, the genetic algorithm is introduced to fine-tune the finite element calculation. The results of the experiments showed that the column compressive strain was maximum at 700 με . Moreover, the plastic strain occurred only when the compressive strain reached more than 1, 900, so the column was in the elastic strain stage during the process. When subjected to a vertical load, the upper part of the beam was compressed and the lower part was stretched. Furthermore, the lower part of the bow wood was stressed, and the upper part was stretched. The proposed method effectively improves the accuracy of the structural performance analysis of ancient buildings, and the results can be used for reference in ancient buildings.

摘要 : Learning spaces are the primary activity spaces for students' daily lives on campuses, and their thermal, luminous, and acoustic environments significantly affect users' comfort and emotional perception. To investigate the combined effects of thermal-luminous-acoustic environments on environmental and emotional perceptions in learning spaces and the relationship between environmental comfort and emotional perception, this study investigated the temperature, illumination, and sound pressure levels in a learning space in a severe cold city, selecting 27 different environmental conditions for controlled experiments. Results indicate that temperature affected subjective loudness and acoustic comfort, rating poorly in hotter environment. Illumination affected acoustic acceptability and was lower in brighter luminous environment. Additionally, temperature affected luminous sensation and visual comfort, with significantly poorer results in hotter environment. The sound pressure level affected luminous sensation, visual comfort, and luminous acceptability, and it was rated better in a moderately quiet sound environment. Overall comfort was affected by thermal, acoustic, and luminous environments, while the acoustic environment having the greatest effect. The overall comfort level was the highest at 22 °C, 35 dB, and 100 lx. Environmental factors also affected emotional perception, mainly affecting emotional valence. A significant correlation was noted between environmental and emotional perception, while acoustic comfort and overall comfort had the strongest correlation with emotional perception.

摘要 : Community regeneration plays a pivotal role in creating human-centered spaces by transforming spatial configurations, enhancing multifunctional uses, and optimizing designs that promote sustainability and vibrancy. However, the influence of such regeneration on spatial vitality—particularly its spatial heterogeneity and nonlinear effects—remains insufficiently explored. This study presents a comprehensive framework that combines the Difference-in-Differences (DID) method with multiple socio-spatial correlated factors, including place agglomeration, individual agglomeration, and social perception, offering a systematic assessment of urban vitality and evaluating the impact of regeneration interventions. By leveraging street-level imagery to capture environmental changes pre- and post-regeneration, this research applies Gradient Boosting Decision Tree Regression (GBDT) to uncover nonlinear built environment dynamics affecting urban vitality. Empirical analysis from six districts in Suzhou reveals the following: (1) A pronounced increase in urban vitality is seen in core areas, while peripheral districts exhibit more moderate improvements, highlighting spatially uneven regeneration outcomes. (2) In historically significant areas such as Wuzhong, limited vitality gains underscore the complex interplay among historical preservation, spatial configurations, and urban development trajectories. (3) Furthermore, environmental transformations, including variations in sky visibility, nonprivate vehicles, architectural elements, and the introduction of glass-wall structures, exhibit nonlinear impacts with distinct threshold effects. This study advances the discourse on sustainable urban regeneration by proposing context-sensitive, data-driven assessment tools that reconcile heritage conservation with contemporary urban regeneration goals. It underscores the need for integrated, adaptive regeneration strategies that align with local conditions, historical contexts, and urban development trajectories, informing policies that promote green, inclusive, and digitally transformed cities.