摘要：
This study presents a Euclidean distance-based framework for optimizing the layout of urban emergency rescue facilities. Traditional precinct-based (Type 1) and dynamic time-based (Type 2) models are compared with the proposed Euclidean distance-based (Type 3) model. The analysis uses geospatial and statistical methods to evaluate accessibility, variability, and fairness across different times of the day. The results indicate that the Euclidean distance-based model enhances rescue response efficiency and maintains a more equitable service distribution relative to traditional models. The study identifies a “threshold effect” in rescue times, emphasizing the critical distance beyond which rescue efficiency declines. By leveraging real-time traffic data and integrating Euclidean distance principles, the proposed framework offers a robust and practical approach for urban planners to improve emergency response capabilities and urban resilience. This research underscores the importance of considering both geometric proximity and dynamic traffic conditions in the strategic placement of rescue facilities, providing valuable insights for future urban emergency management and planning.
This study presents a Euclidean distance-based framework for optimizing the layout of urban emergency rescue facilities. Traditional precinct-based (Type 1) and dynamic time-based (Type 2) models are compared with the proposed Euclidean distance-based (Type 3) model. The analysis uses geospatial and statistical methods to evaluate accessibility, variability, and fairness across different times of the day. The results indicate that the Euclidean distance-based model enhances rescue response efficiency and maintains a more equitable service distribution relative to traditional models. The study identifies a “threshold effect” in rescue times, emphasizing the critical distance beyond which rescue efficiency declines. By leveraging real-time traffic data and integrating Euclidean distance principles, the proposed framework offers a robust and practical approach for urban planners to improve emergency response capabilities and urban resilience. This research underscores the importance of considering both geometric proximity and dynamic traffic conditions in the strategic placement of rescue facilities, providing valuable insights for future urban emergency management and planning.
通讯机构：
[Zheng, BH ] C;Cent South Univ, Sch Architecture & Art, Changsha 410083, Peoples R China.
关键词：
Urban microclimate;Outdoor thermal comfort;Street interface;Universal thermal climate index (UTCI);ENVI-met;Old city of Changsha
摘要：
The challenge of the urban thermal environment stands as a pivotal obstacle in enhancing urban habitation, with its most conspicuous manifestation occurring during the summer months. The urban configuration intertwines with the thermal milieu, and its meticulous refinement is critical to ameliorating thermal conditions. Notably, streets, constituting two-thirds of the urban expanse, assume paramount importance. Delving into the nexus between street interface morphology and the thermal environment carries practical implications. The current corpus of street form research exhibits a conspicuous oversight in attending to the street interface, with a noticeable need for more exploration into its symbiosis with the thermal ambience. This study, therefore, directs its focus toward the nuanced examination of street interface morphology. Employing the method of constructing morphological models, we utilize ENVI-met software to simulate and analyze the thermal environment. The Universal Thermal Climate Index (UTCI) serves as the yardstick for evaluating thermal conditions, elucidating the influence of street interface morphology on the summer thermal environment of streets. The findings unveil a discernible correlation: for east-west streets, diminished interface density and concavity, coupled with an augmented street aspect ratio and interface height dislocation, yield superior street pedestrian thermal comfort. The interface height ratio index emerges as a particularly noteworthy factor, with the nadir of thermal comfort occurring at an interface height ratio1. Moreover, streets boasting elevated interfaces on the north side exhibit enhanced thermal comfort within similar interface height ratios. In the case of north-south streets, heightened interface density and street aspect ratio, juxtaposed with diminished interface concavity and height dislocation, parallelly yield enhanced thermal comfort. Optimal thermal comfort materializes when the interface height ratio equals 1. Moreover, streets featuring elevated interfaces on the east side manifest superior thermal comfort within equivalent interface height ratios. The culminating phase of this inquiry entails the optimization simulation of select streets within the ancient precincts of Changsha. The outcomes underscore a discernible enhancement in the thermal comfort of both east-west and north-south streets post-optimization, affirming the efficacy of street interface shape transformations in efficaciously augmenting the summer thermal environment of urban streets.
The challenge of the urban thermal environment stands as a pivotal obstacle in enhancing urban habitation, with its most conspicuous manifestation occurring during the summer months. The urban configuration intertwines with the thermal milieu, and its meticulous refinement is critical to ameliorating thermal conditions. Notably, streets, constituting two-thirds of the urban expanse, assume paramount importance. Delving into the nexus between street interface morphology and the thermal environment carries practical implications. The current corpus of street form research exhibits a conspicuous oversight in attending to the street interface, with a noticeable need for more exploration into its symbiosis with the thermal ambience. This study, therefore, directs its focus toward the nuanced examination of street interface morphology. Employing the method of constructing morphological models, we utilize ENVI-met software to simulate and analyze the thermal environment. The Universal Thermal Climate Index (UTCI) serves as the yardstick for evaluating thermal conditions, elucidating the influence of street interface morphology on the summer thermal environment of streets. The findings unveil a discernible correlation: for east-west streets, diminished interface density and concavity, coupled with an augmented street aspect ratio and interface height dislocation, yield superior street pedestrian thermal comfort. The interface height ratio index emerges as a particularly noteworthy factor, with the nadir of thermal comfort occurring at an interface height ratio1. Moreover, streets boasting elevated interfaces on the north side exhibit enhanced thermal comfort within similar interface height ratios. In the case of north-south streets, heightened interface density and street aspect ratio, juxtaposed with diminished interface concavity and height dislocation, parallelly yield enhanced thermal comfort. Optimal thermal comfort materializes when the interface height ratio equals 1. Moreover, streets featuring elevated interfaces on the east side manifest superior thermal comfort within equivalent interface height ratios. The culminating phase of this inquiry entails the optimization simulation of select streets within the ancient precincts of Changsha. The outcomes underscore a discernible enhancement in the thermal comfort of both east-west and north-south streets post-optimization, affirming the efficacy of street interface shape transformations in efficaciously augmenting the summer thermal environment of urban streets.
通讯机构：
[Chen, B ] H;Hunan Univ Technol, Sch Civil & Environm Engn, Zhuzhou 412007, Peoples R China.
关键词：
construction industry;human habitat;coupling coordination;Gini coefficient;grey forecasting
摘要：
High-quality growth of the construction industry and an improved human settlements environment are essential to sustainable urbanization. Existing studies have paid limited systematic attention to the spatial and temporal dynamics of the coordinated development between the construction industry and human settlements, as well as the underlying factors driving regional disparities. This gap restricts the formulation of precise, differentiated sustainable policies tailored to regions at different development stages and with varying resource endowments. Southern China, characterized by pronounced spatial heterogeneity and unique development trends, offers a natural laboratory for examining the spatio-temporal interaction between these two dimensions. Using panel data for 15 southern provinces (2013-2022), we applied the entropy method, coupling coordination model, Dagum Gini coefficient, spatial trend surface analysis, gravity model, and grey forecasting to evaluate current conditions and predict future trends. The main findings are as follows. (1) The coupling coordination degree rose steadily, forming a stepped spatial pattern from the southwest through the center to the southeast. (2) The coupling coordination degree appears obvious polarization effect, presenting a spatial linkage pattern with Jiangsu-Shanghai-Zhejiang, Hubei-Hunan-Jiangxi, and Sichuan-Chongqing as the core of the three major clusters. (3) The overall Dagum Gini coefficient declined, but intra-regional disparities persisted: values were highest in the southeast, moderate in the center, and lowest in the southwest; inter-regional differences dominated the total inequality. (4) Forecasts for 2023-2027 suggest further improvement in the coupling coordination degree, yet spatial divergence will widen, creating a configuration of "eastern leadership, central catch-up acceleration, and differentiated southwestern development." This study provides an evidence base for policies that foster high-quality construction sector growth and enhance the living environment. The findings of this study indicate that policymaking should prioritize promoting synergistic regional development, enhancing the radiating and driving role of core regions, and establishing a multi-level coordinated governance mechanism to bridge regional disparities and foster more balanced and sustainable development.
作者机构：
[Qian Wang] School of Architecture, Changsha University of Science and Technology, Changsha, 410076, PR China;[Ping Zhao; Xiuhua Zhao; Liwei Zhu] South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, PR China;[Xia Chen] College of forestry and biotechnology, Zhejiang A&F University, Hangzhou, 311300, PR China
通讯机构：
[Ping Zhao] S;South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, PR China
摘要：
Exotic broadleaf Acacia mangium Willd., native broadleaf Schima wallichii Choisy, and native coniferous Cunninghamia lanceolata (Lamb.) Hook are main species for vegetation restoration in southern China. To assess whether these plantations remain suitable for continued planting after more than 30 years on degraded hilly lands, we investigated the hydrological effects of their canopy, litter, and soil layers. Canopy interception was calculated by subtracting measured throughfall and stemflow from total rainfall, while the water-holding capacities of litter and soil were measured using indoor immersion and ring knife methods, respectively. Our results show that the hydrological effects of the canopy and litter layers in the two broadleaf plantations were superior to those in the coniferous C. lanceolata plantation. In 2017 and 2018, the canopy interception/precipitation ratios ranked: S. wallichii (13.1–20.7%)> A. mangium (16.2–10.2%) > C. lanceolata (11.3–11.6%). Among the three plantations, the native broadleaf species S. wallichii exhibited the highest canopy interception under extreme rainfall, suggesting it may be better suited for afforestation in southern China, where extreme rainfall events are becoming increasingly frequent. For the total effective water storage capacity of litter, the ranking was: A. mangium (4.6±2.4 t·hm⁻²) > S. wallichii (2.7±1.8 t·hm⁻²) > C. lanceolata (2.4±1.4 t·hm⁻²). Exotic A. mangium had the highest water-holding capacity in both undecomposed and decomposed litter layers, and its soil water-holding capacity was superior to the native species. These results indicate that A. mangium improves hydrological functions in litter and soil layers, conserving water, delaying surface runoff, and reducing soil erosion, while its potential invasive risks to biodiversity and ecosystem stability should also be considered. For average soil water storage capacity, the ranking was: A. mangium (6373.0±54.4 t hm -2 ) > C. lanceolata (5955.1±43.0 t hm -2 ) > S. wallichii (5909.8 ±102.4 t hm -2 ). Since there were no significant differences in soil hydrological effects between S. wallichii and C. lanceolata, C. lanceolata exhibited the weakest overall hydrological benefits. Our findings highlight the critical importance of selecting appropriate species for afforestation projects to optimize hydrological functions and adapt to changing rainfall patterns in southern China.
Exotic broadleaf Acacia mangium Willd., native broadleaf Schima wallichii Choisy, and native coniferous Cunninghamia lanceolata (Lamb.) Hook are main species for vegetation restoration in southern China. To assess whether these plantations remain suitable for continued planting after more than 30 years on degraded hilly lands, we investigated the hydrological effects of their canopy, litter, and soil layers. Canopy interception was calculated by subtracting measured throughfall and stemflow from total rainfall, while the water-holding capacities of litter and soil were measured using indoor immersion and ring knife methods, respectively. Our results show that the hydrological effects of the canopy and litter layers in the two broadleaf plantations were superior to those in the coniferous C. lanceolata plantation. In 2017 and 2018, the canopy interception/precipitation ratios ranked: S. wallichii (13.1–20.7%)> A. mangium (16.2–10.2%) > C. lanceolata (11.3–11.6%). Among the three plantations, the native broadleaf species S. wallichii exhibited the highest canopy interception under extreme rainfall, suggesting it may be better suited for afforestation in southern China, where extreme rainfall events are becoming increasingly frequent. For the total effective water storage capacity of litter, the ranking was: A. mangium (4.6±2.4 t·hm⁻²) > S. wallichii (2.7±1.8 t·hm⁻²) > C. lanceolata (2.4±1.4 t·hm⁻²). Exotic A. mangium had the highest water-holding capacity in both undecomposed and decomposed litter layers, and its soil water-holding capacity was superior to the native species. These results indicate that A. mangium improves hydrological functions in litter and soil layers, conserving water, delaying surface runoff, and reducing soil erosion, while its potential invasive risks to biodiversity and ecosystem stability should also be considered. For average soil water storage capacity, the ranking was: A. mangium (6373.0±54.4 t hm -2 ) > C. lanceolata (5955.1±43.0 t hm -2 ) > S. wallichii (5909.8 ±102.4 t hm -2 ). Since there were no significant differences in soil hydrological effects between S. wallichii and C. lanceolata, C. lanceolata exhibited the weakest overall hydrological benefits. Our findings highlight the critical importance of selecting appropriate species for afforestation projects to optimize hydrological functions and adapt to changing rainfall patterns in southern China.
期刊：
Journal of Urban Management,2025年 ISSN：2226-5856
通讯作者：
Sheng Song
作者机构：
[Sheng Song] School of Architecture, Changsha University of Science & Technology, Changsha, PR China;[Krzysztof Nawratek] School of Architecture, University of Sheffield, Sheffield, United Kingdom;[Fangjie Guo] School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, PR China
通讯机构：
[Sheng Song] S;School of Architecture, Changsha University of Science & Technology, Changsha, PR China
关键词：
Public space;Work unit communities;Managing public space;Challenges;China
摘要：
Public space management has gained rising attention across the world in recent years. However, existing studies have mainly focused on Western countries. The research on public space management in China is scarce. This paper investigates the issues and challenges associated with managing public space and how stakeholders deal with challenges that affect the effectiveness of public space management in the Chinese context. This qualitative research is built on observations and interviews from a specific case, including three groups of stakeholders: the community, the property management company, and the residents. The research found three challenges of the current practice: the difficulty of accepting new policies, the influence of the governance structure, and the process dimensions of management. These challenges are intertwined together and hinder the effectiveness of day-to-day maintenance and long-term management. This paper proposes a benchmark that will contribute to the theoretical development of public space management and will be a valuable tool for similar research across different contexts. The research findings suggest that the coordination and cooperation between different stakeholders and the establishment of a holistic management approach offer the potential for an effective and future-proof public space and environment.
Public space management has gained rising attention across the world in recent years. However, existing studies have mainly focused on Western countries. The research on public space management in China is scarce. This paper investigates the issues and challenges associated with managing public space and how stakeholders deal with challenges that affect the effectiveness of public space management in the Chinese context. This qualitative research is built on observations and interviews from a specific case, including three groups of stakeholders: the community, the property management company, and the residents. The research found three challenges of the current practice: the difficulty of accepting new policies, the influence of the governance structure, and the process dimensions of management. These challenges are intertwined together and hinder the effectiveness of day-to-day maintenance and long-term management. This paper proposes a benchmark that will contribute to the theoretical development of public space management and will be a valuable tool for similar research across different contexts. The research findings suggest that the coordination and cooperation between different stakeholders and the establishment of a holistic management approach offer the potential for an effective and future-proof public space and environment.
通讯机构：
[Tian, Y ] C;Changsha Univ Sci Technol, Coll Architecture, Changsha, Hunan, Peoples R China.
摘要：
Ensuring pedestrian safety is crucial for establishing fair and sustainable transportation systems. However, certain demographics face disproportionately higher risks, necessitating age-appropriate policy and design strategies. This study provides a comprehensive analysis of the relationships between objectively measured road infrastructure attributes and pedestrian accident frequencies involving vulnerable groups in Hunan Province, China. By leveraging detailed historical crash records linked to spatially-explicit infrastructure data, the research team employed advanced count regression modeling techniques, including negative binomial (NB) and zero truncated tail negative binomial (ZTNB) specifications, to systematically evaluate the safety impacts of roadway functional classification, intersection design, traffic controls, alignment geometry, pedestrian segregation, land use context, and traffic volumes. The results revealed that the ZTNB approach, which accounted for the excess zero observations inherent to the crash data, provided statistically superior model fit compared to the standard NB formulation. The ZTNB estimation results offered robust empirical evidence regarding key infrastructure risk factors, highlighting that while higher-order roadways exhibited lower pedestrian accident likelihoods, elements such as multi-leg intersections, lack of traffic controls, curved alignments, and absence of segregated facilities correlated with elevated hazards. Older adults and children are particularly susceptible to accidents on major highways and are more prone to traffic incidents on regular roads as opposed to specialized areas like tunnels and intersections. Importantly, the analysis revealed varying safety impacts among different user groups, underscoring the significance of considering the unique requirements and vulnerabilities of diverse pedestrian populations in transportation planning and design. Overall, the findings offer robust empirical evidence to guide development of tailored interventions that consider the unique capacities and exposures of different pedestrian populations. The age-segmented analyses also contribute transportation equity insights for achieving Vision Zero goals through inclusive infrastructure design.
关键词：
traditional villages;ecological environmental suitability;correlation mechanism;Xiangjiang River Basin;spatial autocorrelation
摘要：
The spatial morphology of traditional villages stems from prolonged interactions between socio-economic conditions and the regional natural environment under specific historical contexts. Over time, these settlements have acquired distinct spatial patterns through continuous adaptation to their surrounding ecosystems. Nevertheless, accelerated urbanization now exerts dual pressures-disrupting the spatial order and degrading natural ecosystems. In this context, an integrated analysis of the relationship between village spatial patterns and ecological conditions is essential for elucidating their formative mechanisms. The Xiangjiang River Basin is Hunan's cultural core, and the spatial distribution of traditional villages is directly related to environmental variables. This study uses bivariate spatial autocorrelation and geographically weighted regression to investigate the relationship between the spatial distribution of traditional villages and ecological environmental appropriateness. The findings indicate the following: (1) The spatial distribution density of traditional villages in the Xiangjiang River Basin exhibits a negative correlation with the Ecological Environment Index (EEI), as evidenced by a Moran's I value of -0.228. This suggests that traditional villages tend to be less concentrated in areas with a higher ecological suitability. (2) Among natural factors, the Relief Degree of Land Surface (RDLS), the Temperature Humidity Index (THI), and the Land Cover Index (LCI) display positive correlations with village density, with regression coefficients of 0.865, 0.003, and 11.599, respectively. In contrast, the Water Resource Index (WRI) shows a negative correlation, with a coefficient of -6.448, and (3) the impact of ecological suitability factors on village distribution is spatially heterogeneous: microtopographic variation is the primary driver in flat terrains, whereas the ecological carrying capacity exerts a greater influence in mountainous areas. These findings clarify the role of ecological suitability in shaping the spatial characteristics of traditional villages and provide a scientific basis for developing protection strategies that integrate ecological sustainability with cultural-heritage preservation.
通讯机构：
[Wang, CAN ] W;Wuhan Univ, Sch Urban Design, Wuhan 430072, Peoples R China.
关键词：
sustainable conservation;destruction of stone artifacts;temperature and humidity damage to stones;black stain on stone;stone damage by air pollutants;monuments weather damage
摘要：
Around the world, a large number of stone artifacts have been exposed to air for long periods of time, showing multiple types of deterioration that have attracted widespread attention. Among them, there is an often overlooked deterioration of stone artifacts, i.e., black stains on the surface of the calcareous stone, which are tightly bonded to the substrate as a result of the long-term deposition of air pollution. However, due to the current lack of a clear understanding of the black stains, people often tend to use the wrong cleaning and conservation methods, which is not conducive to sustainable conservation. Therefore, there is an urgent need to comprehensively recognize the black stains in terms of material properties and environmental sustainability to guide scientific sustainable conservation methods. To this end, in this paper, we take the black stains observed on marble buildings in the Xianling Tomb, China, as an example, and for the first time, we aim to create a comprehensive understanding of black deposition from the aspects of material properties and environmental characteristics. Multi-analytical approaches, including polarized light microscopy, X-ray fluorescence (XRF), and scanning electron microscopy with energy dispersive X-ray spectrometry (SEM-EDS), were employed to discern the differences between the substrate and black stains. The results revealed that the formation of black stains was attributed to prolonged exposure to various air pollutants (PM, SO2, NO2, CO, and O3). Subsequently, observational data from 2015 to 2023 were utilized to investigate the temporal evolution of local air pollutants and their coupled resonances. Multi-scale variations (annual, seasonal, monthly, weekly, and daily) of pollutant concentration sequences were identified, which helps us to have a clearer perception and to proactively control air pollutants in the region from different cycles. In addition, wavelet coherence (WTC) demonstrated significant time-scale dependency in correlation with air pollutants, which provides effective data support for the coordinated control of air pollutants. This study reveals the mechanism of black stain deterioration on stone artifact surfaces, provides data support for the control and prediction of air pollutants oriented to the sustainable conservation of stone artifacts, and provides a novel and comprehensive approach to the scientific knowledge and sustainable conservation of stone artifacts.
摘要：
Urban resilience evaluates systems’ capacities to prepare for, adapt to, absorb, and recover from disruptions. Evaluation frameworks incorporate metrics like recovery speed, adaptive ability, and absorptive capacity. Assessing critical infrastructure interdependencies is challenging yet vital to limit failure propagation. While static assessments, multi-layer frameworks, and software like Hazus are used, limitations persist. Machine learning often focuses on infrastructure data for recovery monitoring. A common workflow entails acquiring and organizing data, then applying supervised, unsupervised, or reinforcement learning models. Supervised learning uses labeled data while unsupervised learning detects patterns in unlabeled data. Reinforcement learning optimizes rewards through trial-and-error interactions. Machine learning assists in meeting intensifying urbanization and climate change challenges. Leveraging advances in sensors, IoT, and computing enables tasks like image labeling and semantic segmentation. The techniques facilitate resilience through real-time data analytics for informed decision-making and responsive disaster management.
Urban resilience evaluates systems’ capacities to prepare for, adapt to, absorb, and recover from disruptions. Evaluation frameworks incorporate metrics like recovery speed, adaptive ability, and absorptive capacity. Assessing critical infrastructure interdependencies is challenging yet vital to limit failure propagation. While static assessments, multi-layer frameworks, and software like Hazus are used, limitations persist. Machine learning often focuses on infrastructure data for recovery monitoring. A common workflow entails acquiring and organizing data, then applying supervised, unsupervised, or reinforcement learning models. Supervised learning uses labeled data while unsupervised learning detects patterns in unlabeled data. Reinforcement learning optimizes rewards through trial-and-error interactions. Machine learning assists in meeting intensifying urbanization and climate change challenges. Leveraging advances in sensors, IoT, and computing enables tasks like image labeling and semantic segmentation. The techniques facilitate resilience through real-time data analytics for informed decision-making and responsive disaster management.
摘要：
This paper develops a method for estimating carbon-emission specific road networks, considering the presence of electric vehicles (EVs). A mixed equilibrium traffic assignment model is set up to obtain the traffic volume for each link in the network, where oil-fueled vehicles (OFVs) prioritizing travel time minimization, while EVs also consider charging station locations and battery charge state in route selection. A carbon-emission estimation method is then developed, which is calculated by three parameters of traffic volume, average speed, and the road category. A case study is carried out using two networks. It is found that the travel time of the road network has increased by 27%, because EVs tend to choose paths containing charging stations. The route selection of EVs is affected by perceived risk, safe electric quantity, and expected charging electricity. EVs can reduce carbon dioxide emissions but not energy consumption for road network. In addition, it was found that the location of charging stations has a significant impact on traffic flow. After optimizing the location of charging stations, the total travel time, total carbon emissions, and balance of charging station utilization indicators in the transportation network have all relatively decreased. Among them, the total travel time has decreased by 0.2%, the total carbon emissions have decreased by 1.85%, and the balance of charging station utilization has decreased by 0.95%. The research is helpful for determining the locations of charging piles and designing road networks, and it is also helpful for estimating the traffic flow and carbon emissions.
作者机构：
[Tang, Lisha] Hunan First Normal Univ, Sch Business, Changsha 410205, Peoples R China.;[Tang, Lisha] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.;[Wang, Miao; Li, Jingzhi; Xie, Chenmei] Changsha Univ Sci & Technol, Coll Architecture, Changsha 410076, Peoples R China.;[Li, Jingzhi] Key Lab Dongting Lake Aquat Ecoenvironm Control &, Changsha 410114, Peoples R China.
通讯机构：
[Li, JZ ] C;Changsha Univ Sci & Technol, Coll Architecture, Changsha 410076, Peoples R China.;Key Lab Dongting Lake Aquat Ecoenvironm Control &, Changsha 410114, Peoples R China.
关键词：
ecosystem service value;PLUS model;multi-scenario simulation;spatial–temporal evolution
摘要：
With rapid socio-economic development, excessive anthropogenic consumption and the exploitation of natural resources have impaired the self-healing, supply, and carrying capacities of ecosystems. The assessment and prediction of ecosystem service values (ESVs) are crucial for the coordinated development of ecology and economy. This research examines the Xiangjiang River Basin and combines land use data from 1995 to 2020, Landsat images, meteorological data, and socio-economic data. These data are incorporated into the PLUS model to simulate land use patterns in 2035 under the following five scenarios: natural development, economic development, farmland protection, ecological protection, and coordinated development. Additionally, this research analyzes the dynamics of land use and changes in ESVs in the Xiangjiang River Basin. The results show that between 1995 and 2020 in the Xiangjiang River Basin, urbanization accelerated, human activities intensified, and the construction land area expanded significantly, while the areas of forest, farmland, and grassland decreased continuously. Based on multi-scenario simulations, the ESV showed the largest and smallest declines under economic development and ecological protection scenarios, respectively. This results from the economic development scenario inducing a rapid expansion in construction land. In contrast, construction land expansion was restricted under the ecological protection scenario, because the ecological functions of forests and water bodies were prioritized. This research proposes land use strategies to coordinate ecological protection and economic development to provide a basis for sustainable development in the Xiangjiang River Basin and constructing a national ecological security barrier, as well as offer Chinese experience and local cases for global ecological environment governance.
摘要：
Understanding the tourism resource network attention is crucial for promoting sustainable tourism development. This study utilized multi-source data to assess tourism resource network attention in Western Hunan, with GIS spatial analysis and the Geodetector method applied to identify spatial patterns and influencing factors. The results indicate a distinct “dual-core” spatial clustering in network attention, with natural landscape resources centralized in Zhangjiajie and cultural landscape resources in Xiangxi Prefecture. Recreational tourism resources exhibit a similar clustering pattern around these primary and secondary centers. The factors and intensities influencing network attention differ by tourism resource type. For overall tourism resources, natural landscapes, and cultural landscapes, tourist attractions rating (X11) and attraction clustering degree (X12) are the primary drivers, with the strongest impact on natural landscapes (q = 0.648, 0.373), followed by overall resources (q = 0.361, 0.216) and cultural landscapes (q = 0.311, 0.206). In contrast, recreational resources are most influenced by nearby attractions and tourism service capacity (q(X12) = 0.743, q(X15) = 0.620), alongside notable effects from regional factors related to economic development, industrial structure, and tourism development (X1–X9). The interaction between inherent tourism resource characteristics (X10–X15) and regional environmental factors (X1–X9) enhances the driving effect on tourism resource network attention. These findings inform differentiated, resource-specific tourism planning strategies for sustainable development in Western Hunan, promoting balanced regional growth and optimized resource management through a data-driven approach.
通讯机构：
[Tang, CJ ] C;Changsha Univ Sci & Technol, Coll Architecture, Changsha, Peoples R China.
摘要：
Cultural memory reflects a group’s emotional attachment, cultural identity, and the social and historical value of intergenerational heritage. Based on the theory of cultural memory, this study classified 783 cultural relics at national and provincial levels in Yuan River Basin of Hunan Province into 8 memory points, 2 memory representations, and 4 memory spaces by type and examined their spatial evolution and hierarchical differences using memory index, kernel density, and field energy model analyses. The results show that the basin’s tangible cultural heritage space has a multi-pole nucleus and multi-cluster structure; traditional villages and intangible cultural heritage resources in the middle reaches are strongly agglomerated, while the upper and lower reaches vary in agglomeration. The work shows how cultural memory aggregates and evolves in geographic space, providing a scientific basis for protecting historical heritage and understanding watershed civilization.
通讯机构：
[Liang, YW ] C;Changsha Univ Sci & Technol, Sch Architecture, Changsha 410076, Peoples R China.
摘要：
Traditional villages are gathering places for intangible cultural heritage. To clarify the actual relationship and formation mechanism of the spatial distribution of traditional villages and intangible cultural heritage (referred to as "ICH") within the Xiangjiang River Basin of Hunan Province, a total of 399 national and provincial intangible cultural heritages and 291 traditional Chinese villages in the Xiangjiang River Basin were studied. Various methods, including kernel density analysis, the spatial centre of gravity model, the spatial dislocation index, and geographic detection, have been employed to analyse the spatial characteristics and formation mechanism of intangible cultural heritage and traditional villages in the Xiangjiang River Basin. The results indicate the following: 1) The spatial distributions of intangible cultural heritage and traditional villages in the Xiangjiang River Basin are unbalanced, with a significant spatial dislocation relationship. The spatial structure of intangible cultural heritage is generally "dense in the north and sparse in the south", whereas traditional villages present a distribution structure consisting of one high-density core area and four subhigh-density core areas. 2) The dominant distribution areas of traditional villages are concentrated in the upper reaches of the Xiangjiang River Basin, whereas advantageous distribution areas for intangible cultural heritage are concentrated in economically developed regions located in the lower reaches. 3) The spatial distribution of intangible cultural heritage in the Xiangjiang River Basin is more influenced by human environmental factors than by natural environmental factors. In contrast, response patterns for different factors affecting traditional villages are not only comprehensive but also exhibit scale differences and spatial heterogeneity. These findings contribute to clarifying practical relationships and mechanisms governing the spatial distribution of intangible cultural heritage as well as traditional villages. Furthermore, they can provide theoretical guidance for coordinated protection efforts aimed at preserving both traditional villages and intangible cultural heritage within this region.
作者：
He, Peng;Ali, Ali B. M.;Hussein, Zahraa Abed;Singh, Narinderjit Singh Sawaran;Bains, Pardeep Singh;...
期刊：
Energy and Buildings,2025年332:115428 ISSN：0378-7788
通讯作者：
He, P;Baghoolizadeh, M
作者机构：
[He, P; He, Peng] Changsha Univ Sci & Technol, Sch Architecture, Changsha 410076, Peoples R China.;[He, P; He, Peng] Hunan Planning Inst Land & Resources, Hunan Key Lab Land Resources Evaluat & Utilizat, Changsha 410119, Peoples R China.;[Ali, Ali B. M.] Univ Warith Al Anbiyaa, Coll Engn, Air Conditioning Engn Dept, Karbala, Iraq.;[Hussein, Zahraa Abed] Al Manara Coll Med Sci, Amarah, Maysan, Iraq.;[Singh, Narinderjit Singh Sawaran] INTI Int Univ, Fac Data Sci & Informat Technol, Nilai 71800, Malaysia.
通讯机构：
[He, P ] C;[Baghoolizadeh, M ] S;Changsha Univ Sci & Technol, Sch Architecture, Changsha 410076, Peoples R China.;Hunan Planning Inst Land & Resources, Hunan Key Lab Land Resources Evaluat & Utilizat, Changsha 410119, Peoples R China.;Shahrekord Univ, Dept Mech Engn, Shahrekord 8818634141, Iran.
摘要：
The present research work develops a new approach for the optimization of thermostat setting and insulation designs in residential buildings located in various Iranian climates, including hot-humid, arid, temperate, and cool regions. The objective functions are set to minimize the construction cost, consumed electricity cost, and PPD to improve thermal comfort. Advanced computational techniques are integrated in a structured way to achieve the mentioned objectives. Numerical modeling is done through the simulation of building energy performance and thermal comfort using EnergyPlus. The exact mathematical relations between design variables and objective functions, which were heating setpoint and cooling setpoint, insulation thickness, and thermal conductivity, were identified using Multi-Polynomial Regression. MPR model has been validated respect to a wide set of statistical measures that included but were not limited to R², RMSE, and MAE for its high predictive accuracy. Then, multi-objective optimization is performed through NSGA-II, a well-known multi-objective optimization algorithm, which provides a Pareto front of optimal solutions balancing energy efficiency, cost, and comfort. Shannon's entropy method assigns weights to the Pareto-optimal solutions, whereas the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) selects the most suitable configurations for each city. Calculations show a great reduction in energy consumption to up to 82.66% at Bandar Abbas, with very important improvements in comfort, where the PPD is reduced between 31.1% to 56.3%. The predictive capacity of the MPR model was confirmed by this study, from the value of R², close to 1. The cost-effectiveness of the proposed solutions is underlined by minimizing construction and energy costs while preserving occupant comfort. This innovative approach adapts optimization strategies to regional climatic characteristics, providing practical solutions for sustainable and cost-effective building designs. The integration of advanced machine learning and genetic algorithms offers a scalable framework for future energy-efficient construction practices worldwide, contributing to reduced carbon footprints and enhanced occupant well-being. By addressing the limitations of previous studies and introducing a clear, structured methodology, this research provides valuable insights and practical tools for optimizing residential building performance in diverse climates.
The present research work develops a new approach for the optimization of thermostat setting and insulation designs in residential buildings located in various Iranian climates, including hot-humid, arid, temperate, and cool regions. The objective functions are set to minimize the construction cost, consumed electricity cost, and PPD to improve thermal comfort. Advanced computational techniques are integrated in a structured way to achieve the mentioned objectives. Numerical modeling is done through the simulation of building energy performance and thermal comfort using EnergyPlus. The exact mathematical relations between design variables and objective functions, which were heating setpoint and cooling setpoint, insulation thickness, and thermal conductivity, were identified using Multi-Polynomial Regression. MPR model has been validated respect to a wide set of statistical measures that included but were not limited to R², RMSE, and MAE for its high predictive accuracy. Then, multi-objective optimization is performed through NSGA-II, a well-known multi-objective optimization algorithm, which provides a Pareto front of optimal solutions balancing energy efficiency, cost, and comfort. Shannon's entropy method assigns weights to the Pareto-optimal solutions, whereas the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) selects the most suitable configurations for each city. Calculations show a great reduction in energy consumption to up to 82.66% at Bandar Abbas, with very important improvements in comfort, where the PPD is reduced between 31.1% to 56.3%. The predictive capacity of the MPR model was confirmed by this study, from the value of R², close to 1. The cost-effectiveness of the proposed solutions is underlined by minimizing construction and energy costs while preserving occupant comfort. This innovative approach adapts optimization strategies to regional climatic characteristics, providing practical solutions for sustainable and cost-effective building designs. The integration of advanced machine learning and genetic algorithms offers a scalable framework for future energy-efficient construction practices worldwide, contributing to reduced carbon footprints and enhanced occupant well-being. By addressing the limitations of previous studies and introducing a clear, structured methodology, this research provides valuable insights and practical tools for optimizing residential building performance in diverse climates.
摘要：
1) Background: Nowadays, the restoration of abandoned mines has gained more attention due to its significance in vegetation recovery and ecological security. Although some studies have indicated the sexual dimorphism of dioecious plants in response to the environmental adaptability, Seasea-buckthorn (Hippophae rhamnoides L.), a diecious species of widely used in afforestation and soil conservation, has not been explored their sexual interaction effect has not been studied the effects of sexual interactions on degraded ecosystem restoration; (2) Methods: In the situ experiment, the physiological responses and rhizosphere soil changes of sea-buckthorn seedlings from different sexual combinations were investigated in an abandoned lead-zincLead-Zinc mine; (3) Results: The two sexes from intra-and inter-sexual combination competitions showed differences in chlorophyll content, antioxidant activities, carbohydrates, MDA, proline, soluble sugar, starch, nutriment elements and zinc content in plants, and. Moreover, soil total organic carbon, nutrient elements and soil enzyme activities in rhizosphere soils. in rhizosphere of two sexes showed different response properties in the abandoned mining plots. In the intersexual competition, tThe males from the intersex combination had stronger antioxidant capacity and more osmoregulatory substances in plants, and higher content of soil total nitrogen contents, nitrate nitrogen, ammonia nitrogen and as well as thesignificantly higher activities of protease, neutral phosphatase and urease, with the increases of 139%, and 56%, respectively. indicating more plentiful soil nitrogen and better bioavailability of decomposing protein and transforming organophosphorus; In the intra-sex combination, compared with male plants, female plants showed higher contents of total N, Zn, soluble sugar and starch in the roots increased by 30.3%, 75%, 41.5% and 93.7% respectively, as well as higher soil available phosphate and potassium. (4) Conclusions: Sexual combinations significantly affected plant responses and soil properties of H. rhamnoides in the abandoned mine, male plants showed better adaptability than female plants in inter-sex combination, while females showed better rhizosphere responses than male plants in same-sex combination, which suggests that sexual interactions of dioecious species should be considered in the restoration of degraded ecosystem.
摘要：
Securing thermal comfort while minimizing energy consumption in educational buildings is vital for achieving sustainable development goals. Drawing on the Environmental, Social, and Governance (ESG) framework, this systematic review synthesizes findings from 84 peer-reviewed studies published over the past decade, with a focus on how thermal comfort and energy use are assessed in educational contexts. The review identifies three primary research themes: climate resilience, multidimensional human-centric design, and energy decarbonization. However, it also reveals that existing studies have placed disproportionate emphasis on the environmental dimension, with insufficient exploration of issues related to social equity and governance structures. To address this gap, this study introduces an ESG-driven theoretical framework encompassing seven dimensions: thermal environment stability, multimodal thermal comfort assessment integration, sustainable energy use, heterogeneous thermal demand equality, passive-active design synergy, participatory thermal data governance, and educational thermal well-being inclusivity. By fostering interdisciplinary convergence and emphasizing inclusive stakeholder engagement, the proposed framework provides a resilient and adaptive foundation for enhancing indoor environmental quality in educational buildings while advancing equitable climate and energy strategies.
期刊：
FRONTIERS IN PLANT SCIENCE,2025年16:1533251 ISSN：1664-462X
通讯作者：
Zhuo, ZH
作者机构：
[Gan, Tingjiang] Mianyang Teachers Coll, Engn Res Ctr Chuanxibei Rural Human Settlement RHS, Mianyang, Peoples R China.;[He, Zhipeng; Zhang, Honghua; Zhuo, Zhihang; Xu, Danping; Wei, Xinju; Zhuo, ZH] China West Normal Univ, Coll Life Sci, Nanchong, Peoples R China.;[Chen, Juan] Changsha Univ Sci & Technol, Coll Architecture, Changsha, Peoples R China.
通讯机构：
[Zhuo, ZH ] C;China West Normal Univ, Coll Life Sci, Nanchong, Peoples R China.
关键词：
H. rhamnoides;biomod2;climate change;environmental variable;potential distribution
摘要：
INTRODUCTION: Hippophae rhamnoides, a temperate species with a transcontinental distribution spanning Eurasia, demonstrates preferential establishment in water-limited ecosystems (arid/semi-arid zones), particularly occupying high-elevation niches with skeletal soils and high solar flux. This ecologically significant plant, prized for dual ecological provisioning and economic services, shows biogeographic concentration in China's northern desertification belts, northwestern Loess Plateau, and southwestern montane corridors. Studying the possible areas where H. rhamnoides may be found can offer a scientific foundation for the protection and sustainable management of its resources. METHODS: This study utilized the biomod2 software to assess an integrated model based on 312 distribution points and 23 environmental factors. Furthermore, a modeling analysis was conducted to examine how the geographical distribution of H. rhamnoides changes over time under the SSP245 scenario. RESULTS: The findings show that the distribution of H. rhamnoides is primarily affected by three factors: annual mean temperature, temperature seasonality and mean temperature of the coldest quarter. Currently, H. rhamnoides is predominantly distributed in the provinces of Shanxi, Shaanxi, Gansu, Hebei, Yunnan, Xinjiang, Tibet, Sichuan, Qinghai, and Ningxia. The suitable habitat covers an area of 212.89×10⁴ km², which represents 22.15% of China's total land area. Within this region, high, medium, and low suitability areas make up 23.15%, 22.66%, and 54.20% of the suitable habitat, respectively. DISCUSSION: In the future, the centroid of the suitable habitat for H. rhamnoides is expected to gradually shift northwest, with a trend of increasing suitability in the west and decreasing suitability in the east. This study aims to provide an in-depth exploration of the distribution of H. rhamnoides and the influence of environmental factors on it from a geographical perspective. These results are important for improving the conservation, management, cultivation, and propagation of H. rhamnoides, while also offering a scientific foundation for the research of other valuable plant species.
摘要：
This comprehensive review critically examines current methodologies and optimization strategies for designing indoor thermal environments in educational buildings amid the challenges of global climate change and energy demands. The paper evaluates existing research methods, such as numerical simulations, data-driven models, and field measurements, revealing significant limitations in addressing the complex and dynamic nature of educational environments. It highlights the overemphasis on energy efficiency while neglecting user comfort and individual differences, such as students' physiological and psychological needs. The review underscores the necessity of integrating human-centered design strategies, climate adaptability, and interdisciplinary approaches to improve building performance and enhance student well-being. Future research should focus on developing multimodal data fusion frameworks, applying AI-based optimization, and incorporating emerging technologies like BIM and IoT for dynamic management. By advocating for more adaptable and sustainable thermal environment strategies, this study provides a foundation for advancing educational building design in response to climate change and energy crises.
通讯机构：
[Wang, JJ ] H;[Liu, YY ] C;Changsha Univ Sci & Technol, Sch Architecture, Changsha 410114, Peoples R China.;Changsha Univ Sci & Technol, Res Ctr Human Settlements & Land Spatial Planning, Changsha 410076, Peoples R China.;Hunan Univ, Coll Environm Sci & Engn, Changsha 410082, Peoples R China.
关键词：
Single-atom catalysts;Peroxymonosulfate;Antibiotic contamination;Singlet oxygen;High-value metal-oxygen specie
摘要：
Atomic clusters have been recognized for boosting interactions with single-atom sites and activating peroxymonosulfate (PMS) to degrade pollutants. However, research on the synergies between different metals in these clusters and their impact on enhancing single-atom activity remains limited. This paper introduces an iron-cluster-modified manganese single-atom catalyst (FeMn ac -NC) exhibiting exceptional catalytic activity. At low doses of the catalyst (FeMn ac -NC, 0.05 g/L) and the oxidant (PMS, 0.2 g/L), the FeMn ac -NC/PMS system recorded an impressive removal efficiency of 91.0 % in 5 min, exhibiting a k obs of 0.1038 min −1 . Within this system, the active oxygen species identified included singlet oxygen and high-valent metal–oxygen species. X-ray photoelectron spectroscopy analysis revealed a significant presence of pyrrolic nitrogen in the material, which binds with Mn to create the primary active site. Based on calculations using the density functional theory, the redox cycling between iron clusters and manganese single atoms has been proved to improve the activation efficiency of the system. The system demonstrates high tolerance to environmental media containing anions and dissolved organic matter, showing notable degradation performance over a wide pH range. This research provides valuable insights for the development of high-performance catalysts that is well-suited for practical environmental purification applications.
Atomic clusters have been recognized for boosting interactions with single-atom sites and activating peroxymonosulfate (PMS) to degrade pollutants. However, research on the synergies between different metals in these clusters and their impact on enhancing single-atom activity remains limited. This paper introduces an iron-cluster-modified manganese single-atom catalyst (FeMn ac -NC) exhibiting exceptional catalytic activity. At low doses of the catalyst (FeMn ac -NC, 0.05 g/L) and the oxidant (PMS, 0.2 g/L), the FeMn ac -NC/PMS system recorded an impressive removal efficiency of 91.0 % in 5 min, exhibiting a k obs of 0.1038 min −1 . Within this system, the active oxygen species identified included singlet oxygen and high-valent metal–oxygen species. X-ray photoelectron spectroscopy analysis revealed a significant presence of pyrrolic nitrogen in the material, which binds with Mn to create the primary active site. Based on calculations using the density functional theory, the redox cycling between iron clusters and manganese single atoms has been proved to improve the activation efficiency of the system. The system demonstrates high tolerance to environmental media containing anions and dissolved organic matter, showing notable degradation performance over a wide pH range. This research provides valuable insights for the development of high-performance catalysts that is well-suited for practical environmental purification applications.
