Environmental Impact Assessment Review最新文献

{"title":"Carbon footprint portraits for multimodal trip chains in the context of Mobility as a Service","authors":"Chun Sheng ,&nbsp;Jianan Cheng ,&nbsp;Guo Wang ,&nbsp;Ziyun Huang ,&nbsp;Wenxiang Li","doi":"10.1016/j.eiar.2025.108179","DOIUrl":"10.1016/j.eiar.2025.108179","url":null,"abstract":"<div><div>Urban transportation has become one of the fastest-growing sources of carbon emissions, driven by rapid urbanization and the widespread use of private cars. Although many studies have attempted to quantify these emissions, most remain at the aggregate level or focus on single transport modes, leaving a gap in understanding the full-chain carbon footprint of individual travel. The rise of Mobility as a Service (MaaS) offers new opportunities to close this gap by integrating multimodal travel data and enabling dynamic emission monitoring. This study develops a novel framework for constructing carbon footprint portraits of multimodal trip chains, which are multidimensional profiles that capture the carbon emission, reduction potential, and travel strcutures of individual trip chains. The framework integrates a MaaS-enabled multimodal data monitoring system, a comprehensive carbon footprint accounting model for multimodal trip chains, and a clustering approach to classify trip chains into distinct carbon footprint portraits. To validate the framework, the Geolife trajectory dataset is used as a proxy for MaaS-generated data, resulting in the reconstruction of 1865 trip chains in Beijing. Results show that car-dominated trip chains produce the highest emissions, while bus-, subway-, and active travel–dominated trip chains achieve significant reductions. Clustering analysis further identifies 8 distinct carbon footprint portraits, three of which represent low-carbon patterns. This study contributes by (1) introducing a methodology for fine-grained, individual-level profiling of full-chain carbon emissions, (2) demonstrating the feasibility of MaaS-enabled data integration for dynamic carbon monitoring, and (3) offering policy-relevant insights for designing differentiated incentives and promoting low-carbon mobility.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108179"},"PeriodicalIF":11.2,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental assessment of energy structure transition","authors":"Bai-Chen Xie ,&nbsp;Peter Fernandes Wanke ,&nbsp;Hui Wang ,&nbsp;Xian-Peng Chen","doi":"10.1016/j.eiar.2025.108181","DOIUrl":"10.1016/j.eiar.2025.108181","url":null,"abstract":"<div><div>Energy structure transition is a long-term evolution towards low-carbon, clean, and reliable energy consumption, which is closely linked to national carbon reduction targets and the sustainable development of human societies. It calls for the construction of a scientific approach that synergises multidimensional objectives to assess its economic, social, and environmental benefits. This special issue brings widely different perspectives with the mutual aim of providing technical improvements and empirical research, moving a valuable step forward in developing a research agenda for sustainable development. We believe that the innovative insights gained from the studies included in this report can promote cooperation between researchers and practitioners in the energy sector, whether in scientific theory or policy practice.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108181"},"PeriodicalIF":11.2,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photovoltaics development pathway and environmental benefits dynamics from technological evolution in China","authors":"Guyu Zhu ,&nbsp;Yu Xin ,&nbsp;Yang Yu ,&nbsp;Saige Wang ,&nbsp;Xiaotian Ma ,&nbsp;Honglin Zhong","doi":"10.1016/j.eiar.2025.108157","DOIUrl":"10.1016/j.eiar.2025.108157","url":null,"abstract":"<div><div>Photovoltaic (PV) serves as the dominant clean energy source in China, playing a crucial role in the nation's pursuit of carbon neutrality. Emerging next-generation PV technologies, exemplified by perovskite, have gained increasing attention due to their potential to reduce costs and enhance energy conversion efficiency. However, the market penetration and environmental impacts of these nascent technologies under different technological and socio-economic scenarios have not been systematically analyzed in existing studies, thus remaining unclear for China. To address this, we developed a dynamic assessment framework by coupling the Integrated Assessment Model (GCAM) with the prospective Life Cycle Assessment (PLCA). GCAM was employed to project PV technology diffusion under varying socio-economic scenarios, climate targets, and cost trajectories, while PLCA enabled the evaluation of associated lifecycle environment impacts, identifying key factors and technological advancements across lifecycle stages influencing these impacts. Our results suggest that perovskite PVs will progressively replace silicon and thin-film technologies in China, achieving up to 55.2 % of new installations by 2060 under an optimal carbon neutrality and rapid cost decline scenario. Among the evaluated technologies, perovskite/TiO2 technology exhibits the lowest environmental impacts, while perovskite/Mono-Si technology shows the highest, particularly without technological advancements across PV lifecycle stages. Advancements such as improved conversion efficiency, reduced material and energy inputs, increased collection and recycling rates, and a decarbonized power mix, could reduce the environmental impact intensities by 62.8 %–97.1 %. As a result, total environmental impacts associated with installed PV capacity could decline by 81.7 %–87.8 % by 2050 compared to 2020 levels, with significant reductions in freshwater ecotoxicity. This study advances current understanding by dynamically linking market transformation with environmental outcomes and provides a scientific basis for promoting the sustainable scaling of perovskite PVs and technological advancements across PV lifecycle stages in China and beyond.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108157"},"PeriodicalIF":11.2,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential spatiotemporal patterns in urban thermal environment driven by impervious surface trajectories: A multi-scale assessment framework","authors":"Tianyu Xu ,&nbsp;Jie Gong ,&nbsp;Jianjun Cao ,&nbsp;Yangyang Tian ,&nbsp;Yu Rao ,&nbsp;Yutao Ma ,&nbsp;Imanmadi Duman ,&nbsp;Ermekov Farabi Kerimbaevich","doi":"10.1016/j.eiar.2025.108178","DOIUrl":"10.1016/j.eiar.2025.108178","url":null,"abstract":"<div><div>Urbanization altered land surfaces and urban thermal environments. However, previous studies focused on impervious surface expansion and single-scale assessments, overlooking the complex thermal responses affected by various impervious surface trajectories. The impacts of impervious surface changes on the intensification or mitigation of urban warming remain unquantified at different scales. Therefore, this study proposed assessment frameworks integrating MODIS data with machine learning to monitor impervious surface percentage (ISP) across Asia from 2000 to 2023, and classified ISP into four types (increased, unchanged, decreased, and other) to quantify land surface temperature (LST) changes. The multi-scale framework incorporates pixel and city perspectives, evaluating LST trends from four dimensions: diurnal contrast, seasonal patterns, climatic zone differences, and urban-rural variation. Results revealed gradient differences in LST trends induced across ISP trajectories types. Daytime warming with increased ISP reached up to 0.0648 °C/year (Terra), approximately 2 times higher than in areas with decreased ISP, which showed weaker or negative trends. Daytime thermal responses were spatially heterogeneous, with intensified warming in East and Southeast Asia, and Aqua showing stronger signals due to its afternoon overpass. Conversely, nighttime warming was more spatially consistent (0.0597 °C/year) across different ISP trajectories. Climatic analysis revealed stronger daytime LST gradient differences in temperate regions, while seasonal assessments showed significant responses and spatial heterogeneity in spring and summer. Moreover, some cities in South and Central Asia have opposite trends for different seasons. Urban-rural comparisons confirmed that urban heat island intensity generally increases with ISP expansion but may weaken in arid zones. The framework integrates ISP trajectory and multidimensional thermal assessment to support sustainable land management and understand urban thermal environmental processes.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108178"},"PeriodicalIF":11.2,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145105792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anticipating uncertainty in infrastructure LCC, LCA, and S-LCA: A systematic, context-aware early identification framework","authors":"Andrea Vargas-Farias,&nbsp;João Santos,&nbsp;Irina Stipanovic,&nbsp;Andreas Hartmann","doi":"10.1016/j.eiar.2025.108175","DOIUrl":"10.1016/j.eiar.2025.108175","url":null,"abstract":"<div><div>Uncertainty undermines the reliability of Life Cycle Costing (LCC), Life Cycle Assessment (LCA), and Social Life Cycle Assessment (S-LCA) in Infrastructure Asset Management (IAM). Many methods for uncertainty analysis exist, but practitioners often lack systematic guidance to anticipate how uncertainties will unfold in specific assessments and thereby how to manage them. We propose a pre-emptive framework that anchors uncertainty analysis in the shared modelling structure of product systems, processes, and flows, making it transferable across the three methodologies. The framework links assessment context to uncertainty through three profiling indicators—instance count, intensity level, and prospective needs—and eleven infrastructure-specific dimensions that shape them. Mapping these dimensions across IAM decision-making levels illustrates how uncertainty escalates in the assessment contexts in which individual studies are embedded. A practitioner's checklist translates the framework into an early uncertainty profiling tool, guiding analysts to target rigorous modelling and quantification where it matters most. The discussion highlights the critical interdependencies between dimensions and identifies prospective needs as the dominant driver of uncertainty. Ultimately, by making uncertainty profiles explicit up front, the framework fosters proportionate, transparent, and context-responsive uncertainty analysis practices. The paper concludes by underscoring the need for future research into methodology-specific uncertainty modelling and quantification methods—especially for S-LCA—and how to formally and explicitly link their use to different uncertainty profiles to support designing LCT studies that account for individual uncertainty needs from the start.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108175"},"PeriodicalIF":11.2,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145061111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the relationship between air quality and happiness in South Korea using artificial neural networks","authors":"Bryan Nathanael Wijaya ,&nbsp;Yumi Park ,&nbsp;Ju Hee Jeung ,&nbsp;Kyungmin Lee","doi":"10.1016/j.eiar.2025.108135","DOIUrl":"10.1016/j.eiar.2025.108135","url":null,"abstract":"<div><div>This study investigates the relationship between air quality and subjective happiness across South Korean districts using artificial neural network (ANN)-based modeling. By aggregating the Korean National Assembly Futures Institute’s happiness survey (2020–2021) data with the Korean Ministry of Environment’s air quality data, among others, six major air pollutants were examined for their potential associations with the happiness ladder at the minuscule city level throughout South Korea. Complex non-linear patterns were observed. Among the pollutants, PM2.5 exhibited the most consistent negative association with the happiness ladder. The robust modeling and training strategies provide insights into the intricate relationships between air quality factors and the individual happiness ladder. The analysis effectively captures subtle relationships under fixed socioeconomic and happiness-related conditions, highlighting varying confidence intervals across multiple scenarios. These findings underscore the potential of ANN-based modeling in assessing the environmental factors of subjective happiness. Despite limitations related to the spatiotemporal scale of the annual happiness survey, this study contributes to the methods by applying deep learning techniques to infer the relationship between air quality and happiness, providing evidence that may inform environmental policymaking and urban sustainability strategies.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108135"},"PeriodicalIF":11.2,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From local to national networks: Evolution and drivers of interprovincial linkages of construction land use efficiency in China","authors":"Penglai Ran ,&nbsp;Xun Jin ,&nbsp;Amy E. Frazier ,&nbsp;De Yu ,&nbsp;Cong Xia ,&nbsp;Zongnan Hu ,&nbsp;Hongwei Hu","doi":"10.1016/j.eiar.2025.108177","DOIUrl":"10.1016/j.eiar.2025.108177","url":null,"abstract":"<div><div>Efficient construction land use is essential to alleviate land scarcity and foster regional coordination, aligning with China's sustainability goals. Despite extensive research on construction land use efficiency (CLUE) dynamics, its potential spatial interactions across regions are not fully understood. This study applies social network analysis to investigate the evolution and driving mechanisms of China's spatial correlation network of CLUE from 2005 to 2019, based on a multi-temporal assessment at the provincial level. Results reveal that although most provinces achieved improvements in CLUE over the study period, pervasive underutilization and severe spatial disparities persist across regions. The inter-provincial linkages of CLUE, particularly in central and eastern China, have clearly strengthened, transforming four local spatial networks into a single, integrated nationwide network. Beijing, Shanghai, and Tianjin, owing to their relatively high efficiency and external influence, play pivotal roles within the evolving network. The spatial patterns are primarily linked to rapid yet uneven growth in population, gross domestic product (GDP), and fiscal investment, along with the basic farmland protection policies. By elucidating the complex and heterogeneous interprovincial spatial linkages of CLUE in China, this study underscores the critical role of optimized network structure in systemically enhancing CLUE, while offering practical guidance for enhancing interregional land governance coordination and advancing sustainable land use in China.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108177"},"PeriodicalIF":11.2,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vulnerability and pathways of global renewable energy transition under climate exposure","authors":"Yang Chen ,&nbsp;Wen Yi ,&nbsp;Jingke Hong ,&nbsp;Hung-lin Chi ,&nbsp;Jin Shao","doi":"10.1016/j.eiar.2025.108174","DOIUrl":"10.1016/j.eiar.2025.108174","url":null,"abstract":"<div><div>Under intensifying climate exposures, assessing the renewable energy transition (RET) vulnerability and identifying the effective pathways for RET are increasingly critical. However, current research on RET vulnerability (RETV) neglects climate exposure factors and lacks an interpretable assessment framework. Further, the causal pathways to RET under different climate exposures remain underexplored. To address these gaps, this study is the first to integrate the SHAP-enhanced machine learning method with panel data fuzzy-set Qualitative Comparative Analysis (fsQCA). Applying the proposed assessment framework to 16 vulnerability factors across 94 countries from 2010 to 2022, this paper finds that 1) Adaptability factors exert the greatest influence, followed by sensitivity and then exposure factors. Economic development, government efficiency, energy dependence, and government revenue emerge as the most influential variables, each contributing over 10 % to RET variation globally. Over the study period, 86 of 94 countries exhibit reductions in RETV, leading to an approximate 7.26 % decline in global RETV. 2) The fsQCA results uncover 4 pathways leading to high-RET performance and 7 with low RET performance, confirming economic development and government efficiency as core sufficient conditions. Notably, countries with lower climate exposure require less stringent conditions to achieve high RET than their high-exposure counterparts. 3) Temporal analysis reveals that the pathways leading to low-RET display strong path dependence, but this mitigates over time. In contrast, high-RET pathways grow increasingly robust, particularly in high-exposure countries, while remaining relatively stable in low-exposure settings. These trends, alongside a global decline in the RET vulnerability, point to a growing global momentum toward RET. Methodologically, this study contributes a data-driven, interpretable weighting framework for RET vulnerability assessment and demonstrates the utility of integrating SHAP-enhanced machine learning and fsQCA in capturing complex, time-sensitive causal mechanisms, offering broad applicability to other domains concerned with vulnerability and transition dynamics.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108174"},"PeriodicalIF":11.2,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can global energy transition be possible with intergenerational equity in climate efforts?","authors":"Muhammad Shahid Siddiqui","doi":"10.1016/j.eiar.2025.108159","DOIUrl":"10.1016/j.eiar.2025.108159","url":null,"abstract":"<div><div>Slacking in current global climate change actions precipitates inequality in intergenerational burden sharing in climate mitigation efforts and shifts a tremendous emissions mitigation challenge to future generations. The existing literature on climate mitigation scenarios reflects slacking in global climate actions by showing increasing shadow costs of emissions abatement over time without linking any intergenerational climate burden sharing issue. This non-trivial issue deserves an explicit coverage in climate change scenarios. This paper adds novelty in literature by offering conceptual and numerical solutions that ensure equity in intergenerational climate change efforts fundamentally through a surge in current climate change mitigation actions. The surge in global climate action is essentially an outcome of mobilizing the carbon revenues into climate financing allocated to clean technologies. Our methodology maintains a zero balanced climate-financing while searching for a uniform global carbon pricing over time as well as a set of dynamically adjusted global subsidy rates by sectors and technologies. The trajectory of this global policy package must also limit the global mean temperature to 1.5 °C above pre-industrial levels by 2100. The results of our conceptual and numerical analyses achieved the stated global 1.5 °C target with a minimal temperature overshooting along with efficiency as well as equity in intra- and intergenerational climate mitigation costs. In other words, the study emphasizes on the effectiveness of a global (supranational) setup in managing climate policy and mobilizing climate funds when the surge in global climate mitigation and just energy transition is contingent with all-inclusiveness, including intergenerational ethics.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108159"},"PeriodicalIF":11.2,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145046499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal impact of cultivated land use transition on grain production: Perspective of interaction between dominant and recessive transitions","authors":"Wenhao Niu ,&nbsp;Haoyang Wang ,&nbsp;Lan Luo ,&nbsp;Yu Shi ,&nbsp;Yifan Sui ,&nbsp;Le Wu ,&nbsp;Bangbang Zhang ,&nbsp;Qiang Yu","doi":"10.1016/j.eiar.2025.108170","DOIUrl":"10.1016/j.eiar.2025.108170","url":null,"abstract":"<div><div>Clarifying the impact of cultivated land use transition (CLUT) on grain production can provide effective support for formulating land management policies to ensure food security. CLUT means the cultivated land use morphology changes from one to another, including cultivated land use dominant transition (CLDT) and cultivated land use recessive transition (CLRT). However, existing studies have the problem of separating the CLDT and CLRT, resulting in unclear spatiotemporal impact of interaction between them on grain production. In this study, the theoretical frameworks were developed to reveal the coupling interaction between CLDT and CLRT and its impact on grain production. This study further adopted the coupling coordination degree model to quantify the interaction between CLDT and CLRT, and explored the spatiotemporal characteristics of CLDT, CLRT, and coupling coordination degree between CLDT and CLRT (CCD-DR) in China from 2000 to 2020. Additionally, geographically and temporally weighted regression model was adopted to assess the spatiotemporal impact of CCD-DR on grain production. The results reveal that: the cultivated land use recessive morphology improved gradually, while the dominant morphology deteriorated in China from 2000 to 2020. Notably, the significant decline in CLDT was revealed in most provinces in 2005. The synergies between CLDT and CLRT in China have strengthened over the study period, and the eastern region had the stronger synergies than other regions. The development of CLDT lagged behind CLRT, leading to the low synergies between CLDT and CLRT in most provinces. The positive impact of CCD-DR on grain production in China increased from 2000 to 2020. The improvements of the synergies between CLDT and CLRT significantly promoted grain production in most provinces, particularly in western and southern regions, but hindered grain production in northeastern region. This study not only can support policy-making of cultivated land protection to ensure food security, but also can contribute to addressing the previously overlooked correlation between CLDT and CLRT, offering a comprehensive understanding of cultivated land use transition theory.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"117 ","pages":"Article 108170"},"PeriodicalIF":11.2,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145020082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}