Applied Geography最新文献_第5页

Disentangling complex relationships between urban land use characteristics and energy usage through explainable machine learning model 通过可解释的机器学习模型解开城市土地利用特征与能源使用之间的复杂关系

IF 5.4 2区地球科学

Applied Geography Pub Date : 2025-08-01 DOI: 10.1016/j.apgeog.2025.103736

Zhuoxu Qi , Hangying Su , Kai Hou

{"title":"Disentangling complex relationships between urban land use characteristics and energy usage through explainable machine learning model","authors":"Zhuoxu Qi , Hangying Su , Kai Hou","doi":"10.1016/j.apgeog.2025.103736","DOIUrl":"10.1016/j.apgeog.2025.103736","url":null,"abstract":"<div><div>Understanding the complex relationship between land use and energy usage is vital for sustainable development. However, previous studies tend to focus on individual aspects of land use characteristics, overlooking the synergistic effects among multiple dimensions. Moreover, these studies typically presume a linear relationship between land use characteristics and energy usage, while the differing impacts on energy consumption versus efficiency remain unknown. This study develops a multidimensional land use measurement framework, including land use proportion, size, mix, and intensity. Leveraging explainable machine learning models, we analyze data from 285 Chinese cities between 2012 and 2017 to uncover the nonlinear and interactive effects of these characteristics on energy consumption and efficiency. The results show that: 1) there are significant interaction effects of land use on energy usage, exhibiting suppression and reinforcement effects; 2) some land use characteristics exhibit nonlinear effects, while others show linear relationships with energy usage. For example, land use size shows a U-shaped curve with energy consumption, with a negative contribution when the land use size ranges from 141.03 to 474.48 <span><math><mrow><msup><mrow><mi>k</mi><mi>m</mi></mrow><mn>2</mn></msup></mrow></math></span>; 3) high-intensity land use can reduce energy consumption but may also compromise energy efficiency. The optimal range of land use intensity for simultaneously reducing energy consumption and enhancing energy efficiency lies between 218 and 512.34 people per <span><math><mrow><msup><mrow><mi>k</mi><mi>m</mi></mrow><mn>2</mn></msup></mrow></math></span>. These insights offer valuable guidance for devising land use policies to reduce energy consumption while enhancing energy efficiency, thereby addressing energy challenges effectively.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103736"},"PeriodicalIF":5.4,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144756681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Traffic safety in relation to multidimensional street network and land use features: A nonlinear analysis with population heterogeneity 交通安全与多维街道网络和土地利用特征的关系：具有人口异质性的非线性分析

IF 5.4 2区地球科学

Applied Geography Pub Date : 2025-07-31 DOI: 10.1016/j.apgeog.2025.103737

Changlong Ling , Bo Xie , Zihao An

{"title":"Traffic safety in relation to multidimensional street network and land use features: A nonlinear analysis with population heterogeneity","authors":"Changlong Ling , Bo Xie , Zihao An","doi":"10.1016/j.apgeog.2025.103737","DOIUrl":"10.1016/j.apgeog.2025.103737","url":null,"abstract":"<div><div>Road traffic crashes remain a critical concern for public health and sustainable urban development. In recent years, there has been an emerging interest in applying nonlinear approaches to examine the relationship between the built environment and crash occurrence. Extending this line of inquiry, this research examines how diverse dimensions of street network configuration (geometry, hierarchy, topology) and land use (type, intensity, diversity) influence traffic crash density (i.e., crashes per unit area), and investigates how such effects vary by zonal population composition within a nonlinear framework. Using data from Wuhan, China, and gradient boosting decision trees, we find that street topology and land use density are the most influential correlates in explaining the variation in crash density. Nonlinear associations of street network and land use characteristics with crash density are prevalent, with most variation occurring within a specific threshold range. Moreover, the effects of these built environment characteristics vary significantly across zones with differing age and income structures. Zonal elderly population density amplifies the effects of most street network and land use characteristics on crash density. Low-income zones demonstrate a greater sensitivity to changes in certain built environment features, such as street density, residential land ratio, and land use diversity, resulting in more pronounced increases in crash density. Our findings provide a more comprehensive and nuanced understanding of the links between the built environment and traffic safety, and call for both recognitional and distributive considerations of spatial justice to be incorporated into traffic safety interventions.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103737"},"PeriodicalIF":5.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contrasting inequalities in collective residence-based and pedestrian-based urban greenery exposure with multi-sourced urban big data and deep learning 通过多源城市大数据和深度学习对比以集体住宅为基础和以行人为基础的城市绿化暴露的不平等

IF 5.4 2区地球科学

Applied Geography Pub Date : 2025-07-31 DOI: 10.1016/j.apgeog.2025.103743

Dongwei Liu , Yi Lu , Di Wei , Yijia Hu

{"title":"Contrasting inequalities in collective residence-based and pedestrian-based urban greenery exposure with multi-sourced urban big data and deep learning","authors":"Dongwei Liu , Yi Lu , Di Wei , Yijia Hu","doi":"10.1016/j.apgeog.2025.103743","DOIUrl":"10.1016/j.apgeog.2025.103743","url":null,"abstract":"<div><div>Urban greenery offers diverse benefits to city dwellers. Yet, traditional greenery exposure assessments, based on residential or workplace locations, may ignore the mobility patterns of humans, leading to inaccurate estimates and overlooked inequalities, especially for those with social disadvantages.</div><div>This study presented a novel approach to evaluate pedestrian-based greenery exposure (PBE) by estimating citywide pedestrian volumes across age groups using street-view imagery. We compared this method to the conventional residence-based greenery exposure (RBE) approach. Both top-down and eye-level metrics were used to measure urban greenery, resulting in four greenery exposure measures.</div><div>To compare inequalities in four types of greenery exposure across socioeconomic and demographic groups, this study analyzed the associations between income, age, and each greenery exposure type, while also calculating Gini coefficients to assess inequality across varying buffer sizes.</div><div>The study demonstrated a positive correlation between greenery exposure and median household income (indicated as “income” in the following part), indicating strong socioeconomic inequalities. The Gini index was higher for pedestrian-based exposure compared to residence-based exposure. Additionally, all forms of greenery exposure for older people exhibited lower mean values and Gini indices compared to all population. These findings indicated the importance of pedestrian-based measurement and a more fine-grained and multi-dimensional metric for evaluating inequality in greenery exposure.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103743"},"PeriodicalIF":5.4,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

What makes people satisfied with their Neighbourhoods? Exploring individual characteristics beyond sociodemographics in Scarborough, Ontario 是什么让人们对自己的社区感到满意？在安大略省斯卡伯勒探索超越社会人口统计学的个人特征

IF 5.4 2区地球科学

Applied Geography Pub Date : 2025-07-30 DOI: 10.1016/j.apgeog.2025.103738

Zehui Yin , Shaila Jamal , Ignacio Tiznado-Aitken , Steven Farber

{"title":"What makes people satisfied with their Neighbourhoods? Exploring individual characteristics beyond sociodemographics in Scarborough, Ontario","authors":"Zehui Yin , Shaila Jamal , Ignacio Tiznado-Aitken , Steven Farber","doi":"10.1016/j.apgeog.2025.103738","DOIUrl":"10.1016/j.apgeog.2025.103738","url":null,"abstract":"<div><div>Neighbourhood satisfaction is a key topic in urban planning due to its impact on well-being and inequality among urban dwellers. While determinants of neighbourhood satisfaction have been studied extensively, less is known about individual characteristics such as travel behaviour, political values, transport barriers, and aspirations, beyond traditional sociodemographics. Additionally, spatial modelling of neighbourhood satisfaction remains underexplored. This study utilizes the Scarborough Survey, a multidimensional dataset from Scarborough, Ontario, to investigate how travel behaviour, political values, transport barriers, and aspirations influence neighbourhood satisfaction. A spatial ordinal probit model was used, accounting for sociodemographics, subjective neighbourhood characteristics, and objective neighbourhood characteristics. Findings reveal significant impacts of these individual characteristics on neighbourhood satisfaction, with sociodemographics' effects mediated through these variables. Interestingly, no positive spatial autocorrelation was found for neighbourhood satisfaction after controlling for other factors, suggesting limited social bonds or interactions among neighbours in suburban areas. The results highlight opportunities for community events or local organizations to rebuild these connections and enhance satisfaction in suburban neighbourhoods. This work provides new insights into neighbourhood satisfaction and offers pathways for improving the living conditions of vulnerable suburban communities.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103738"},"PeriodicalIF":5.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the nonlinear effect of population shrinkage on carbon emission intensity in Chinese counties using an interpretable XGBoost model 基于可解释的XGBoost模型探讨中国县域人口收缩对碳排放强度的非线性影响

IF 5.4 2区地球科学

Applied Geography Pub Date : 2025-07-30 DOI: 10.1016/j.apgeog.2025.103734

Mingke Xie , Zhangxian Feng , Shijun Wang , Xiajing Liu , Yang Song , Feilong Hao

{"title":"Exploring the nonlinear effect of population shrinkage on carbon emission intensity in Chinese counties using an interpretable XGBoost model","authors":"Mingke Xie , Zhangxian Feng , Shijun Wang , Xiajing Liu , Yang Song , Feilong Hao","doi":"10.1016/j.apgeog.2025.103734","DOIUrl":"10.1016/j.apgeog.2025.103734","url":null,"abstract":"<div><div>Understanding how population shrinkage affects carbon emission intensity aids sustainable regional development and carbon reduction. This study investigates this influence across 1218 Chinese counties using an interpretable Extreme Gradient Boosting (XGBoost) model, with a focus on regional heterogeneity by analyzing Eastern, Central, Western, and Northeastern China separately. The main findings are: 1) Counties with more significant population shrinkage and higher carbon emission intensity are concentrated in northern and northeastern China, whereas southern counties tend to be less affected on both fronts; 2) Globally, the nonlinear relationship between population shrinkage and carbon emission intensity follows a “V-shaped” pattern, with carbon emission intensity decreasing as shrinkage intensifies from 0 to approximately −0.007, and then rising again when shrinkage exceeds −0.016. Locally, the nature of this nonlinear relationship varies across regions; 3) Population shrinkage interacts nonlinearly with key variables such as government expenditure per capita GDP, land transaction area, Normalized Difference Vegetation Index, and number of patents per 10000 people to influence carbon emission intensity, with distinct threshold effects observed. For example, carbon emission intensity peaks at moderate levels of government expenditure per capita GDP (0.10–0.15) during mild shrinkage (−0.005–0), but this interaction weakens as shrinkage intensifies. Notably, these interaction patterns vary considerably across regions in both strength and direction. The results identify clear thresholds, helping policymakers design targeted interventions based on the specific socioeconomic contexts of counties with different levels of population shrinkage.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103734"},"PeriodicalIF":5.4,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144724071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Achieving win–win outcomes between urban growth and urban greening: The role of environmental governance 实现城市发展与城市绿化的共赢：环境治理的作用

IF 4 2区地球科学

Applied Geography Pub Date : 2025-07-26 DOI: 10.1016/j.apgeog.2025.103735

Jie Wang , Weilong Kong , Wenjing Han

{"title":"Achieving win–win outcomes between urban growth and urban greening: The role of environmental governance","authors":"Jie Wang , Weilong Kong , Wenjing Han","doi":"10.1016/j.apgeog.2025.103735","DOIUrl":"10.1016/j.apgeog.2025.103735","url":null,"abstract":"<div><div>Rapid urbanization challenges environmental sustainability, yet synergistic pathways remain underexplored in developing economies. This study investigates the impact of urban growth on urban greenness and the moderating role of environmental governance, using empirical data from 273 cities in China (2001–2019) and a two-way fixed effects model. Key findings are as follows: (1) An N-shaped relationship exists between urban economic growth and urban greenness, with inflection points at approximately 3500 CNY and 130,000 CNY in per capita GDP. Most cities in 2019 had surpassed the first inflection point but remained in the declining phase. Population density significantly increases greenness (β = 0.0139∗, p < 0.1), while land expansion has no statistically significant impact. (2) Environmental governance positively moderates growth–greening relationships. Economic growth enhances greenness when governance intensity (EGOV) exceeds 1.8 (marginal effect: +0.0204, p < 0.01) and land expansion improves greenness at EGOV >0.5 (interaction effect: +0.0003, p < 0.1). (3) Spatial heterogeneity analyses confirm stronger governance effects in western/northeastern regions and large cities. These results indicate that effective environmental governance can mitigate adverse effects of economic expansion, fostering a “win-win” between urban development and greening. Policymakers should prioritize governance capacity building, stage-adaptive interventions, and inter-city collaboration to balance development and sustainability.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103735"},"PeriodicalIF":4.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring neighborhood daily activity patterns from the perspective of mobility using location-based services data: A case study of Shanghai 基于位置服务数据的移动视角下社区日常活动模式研究——以上海市为例

IF 4 2区地球科学

Applied Geography Pub Date : 2025-07-26 DOI: 10.1016/j.apgeog.2025.103733

Runxian Wang , Sihan Liu , Wenzhu Li , Tongyu Sun

{"title":"Exploring neighborhood daily activity patterns from the perspective of mobility using location-based services data: A case study of Shanghai","authors":"Runxian Wang , Sihan Liu , Wenzhu Li , Tongyu Sun","doi":"10.1016/j.apgeog.2025.103733","DOIUrl":"10.1016/j.apgeog.2025.103733","url":null,"abstract":"<div><div>The relationship between residents’ daily activities and the built environment has long been a central theme in urban studies, offering valuable insights for planning and neighborhood development. However, conventional static methods often fail to reflect the dynamic nature of these interactions, limiting their relevance for neighborhood renewal. This study addresses this gap by adopting a mobility-based approach that integrates spatial and functional dimensions to explore evolving neighborhood activity patterns. Using Shanghai as a case study, the research first uses Location-Based Services (LBS) data to trace neighborhood travel trajectories and construct a spatial flow network. It then incorporates Points of Interest (POIs) and Areas of Interest (AOIs) data to identify activity types and distributions, building a functional network of neighborhood activities. The study finds that, 1) spatial activity patterns fall into four types: high-density with low aggregation (35 %), low-density with low aggregation (27 %), low-density with high aggregation (23 %), and high-density with high aggregation (15 %); 2) functional patterns also fall into four categories: single-function core (40 %), residential-business dual-core (20 %), multi-function core (25 %), and tourism-driven core (15 %); 3) neighborhoods with similar spatial patterns tend to exhibit corresponding functional characteristics. These spatial and functional patterns help explain how different types of activities are connected and reflected in the physical layout. Aligning spatial design with activity patterns can improve how neighborhoods support residents’ daily needs. The findings offer practical guidance for resident-centered neighborhood renewal, particularly in the design and enhancement of public space elements.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103733"},"PeriodicalIF":4.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Does urban renewal program increase urban vitality? Causal evidence from Beijing City, China 城市更新计划能增加城市活力吗？来自中国北京市的因果证据

IF 4 2区地球科学

Applied Geography Pub Date : 2025-07-26 DOI: 10.1016/j.apgeog.2025.103732

Xingfei Cai, Zhichao He, Chaoxiang Wen

引用次数: 0

Mapping spatio-temporal patterns of soundscapes in a mountain landscape 山地景观声景观的时空格局映射

IF 4 2区地球科学

Applied Geography Pub Date : 2025-07-25 DOI: 10.1016/j.apgeog.2025.103722

Uta Schirpke , Manuel Ebner

{"title":"Mapping spatio-temporal patterns of soundscapes in a mountain landscape","authors":"Uta Schirpke , Manuel Ebner","doi":"10.1016/j.apgeog.2025.103722","DOIUrl":"10.1016/j.apgeog.2025.103722","url":null,"abstract":"<div><div>Our understanding of the relationships between soundscapes and human well-being is continuously increasing, emphasizing the need for soundscape management. To effectively improve soundscape quality, knowledge on spatio-temporal patterns of soundscape characteristics is required. This study comprehensively assessed and mapped spatio-temporal patterns of soundscape characteristics in a complex mountain landscape in the Bavarian Alps (Germany), integrating quantitative analyses of audio recordings (n = 41) along gradients of elevation and human activity with human perception on soundscape quality gathered through a participatory mapping survey (pleasant: n = 47, unpleasant: n = 44). Based on an aural inventory to identify major sound sources, our results indicate that soundscapes at the sampling sites were composed by multiple sound sources, though dominated by air traffic, road traffic, birds, and insects, following diurnal cycles of activity. Spatial patterns of sound sources, acoustic indices, and perceived soundscape quality were significantly influenced by human infrastructure (e.g. roads, cable cars), human activity (e.g., agriculture, tourism), topography, and land cover. While anthrophony, biophony, and geophony did not show clear spatial patterns, the forest-based regression model, explaining up to 62 % of the variance, predicted a concentration of technophony on the valley bottom and adjacent hillslopes, emphasizing the impact of technophony on soundscape perceptions. Our findings provide insights into the relationships between landscape and soundscape characteristics supporting soundscape management.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103722"},"PeriodicalIF":4.0,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

More vibrant neighborhood, better quality of life? Examining pathways connecting neighborhood liveliness and subjective well-being 更有活力的社区，更好的生活质量？研究连接社区活力和主观幸福感的途径

IF 4 2区地球科学

Applied Geography Pub Date : 2025-07-22 DOI: 10.1016/j.apgeog.2025.103731

Zheyan Chen , Min Yang

{"title":"More vibrant neighborhood, better quality of life? Examining pathways connecting neighborhood liveliness and subjective well-being","authors":"Zheyan Chen , Min Yang","doi":"10.1016/j.apgeog.2025.103731","DOIUrl":"10.1016/j.apgeog.2025.103731","url":null,"abstract":"<div><div>In response to rapid and uneven urban expansion, planners have increasingly emphasized the creation of lively and accessible neighborhoods that support quality of life. Neighborhood liveliness—the intensity of human activity in local environments—has emerged as a key dimension of urban livability, yet its relationship to subjective well-being (SWB) remains underexplored. Using geo-tagged spatial data and survey data collected from Beijing in 2018, the study explores the potential mechanisms linking neighborhood liveliness and SWB. Structural equation modeling (SEM) is employed to examine both direct and indirect effects, with a focus on mediating factors including perceived neighborhood attributes, active travel behavior, and neighborhood satisfaction. The results reveal that neighborhood liveliness has a positive direct effect on life satisfaction, but its impact on affective well-being is indirect, operating through encouraged active travel. Notably, excessive liveliness is also associated with reduced perceived aesthetics, highlighting trade-offs. These findings underscore the importance of designing behaviorally engaging urban environments and adopting a multidimensional planning approach that considers the complex interplay between spatial activity, mobility, and well-being.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"183 ","pages":"Article 103731"},"PeriodicalIF":4.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144678768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0