Environmental Impact Assessment Review最新文献

{"title":"Carbon trading in the construction industry: A systematic review and a vigorous impact assessment framework to facilitate implementation","authors":"Ying Liu ,&nbsp;Becky P.Y. Loo","doi":"10.1016/j.eiar.2025.108271","DOIUrl":"10.1016/j.eiar.2025.108271","url":null,"abstract":"<div><div>While carbon trading is considered a promising global market mechanism for promoting the reduction of greenhouse gas emissions, it has been underdeveloped in the construction industry. Furthermore, existing studies on carbon trading in construction focus almost exclusively on cutting operational emissions, disregarding embodied carbon (EC) due to challenges in measuring material-side emissions, allocating allowances, and ensuring feasibility. To overcome these barriers, this study systematically analyses the literature and proposes a replicable multi-objective optimisation (MOO) framework that evaluates construction-sector emission trading system (ETS) designs by simultaneously maximising contractor participation, financial viability and EC abatement. Six real-world prototypes (five Chinese pilots plus the EU model) are tested using the case of Hong Kong. With a manageable size of construction contractors and available data on residential and non-residential construction area in Hong Kong, the MOO model allows the regulator to observe how EC benchmarks, fees and penalties affect participation and costs—making the city an ideal pilot ground. Our research findings suggest that a linked-ETS following the Beijing Model with moderate entry fees, high penalties, and transparent pricing could achieve 100 % participation, stable financial returns, moderate increase in construction cost, and effective carbon abatement. Academically, this study presents the first contractor-level optimisation toolkit that integrates EC metrics into emissions-trading design. Methodologically, our MOO framework is fully replicable across regions and construction typologies. To policy makers, this study estimates fees, benchmarks and penalty schedules that regulators can deploy flexibly to link construction to stand-alone or regional ETS to achieve carbon reduction while preserving industry competitiveness.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108271"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614943","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":"Comparative multi-algorithm AI framework for real-time carbon emission optimization in a medium-scale irrigation project in Thailand","authors":"Chiratthawat Mueangphaen ,&nbsp;Wuttipong Kusonkhum ,&nbsp;Kittiwet Kuntiyawichai ,&nbsp;Tanyada Pannachet ,&nbsp;Ratamanee Nuntasarn ,&nbsp;Maetee Boonpichetvong","doi":"10.1016/j.eiar.2025.108276","DOIUrl":"10.1016/j.eiar.2025.108276","url":null,"abstract":"<div><div>This study develops and validates a real-time carbon monitoring framework that integrates automated meteorological data with operational construction logs to enhance environmental impact assessment (EIA) methodology for tropical infrastructure projects. Leveraging 2332 h of synchronized climate–operational data from a reinforced-concrete sluice gate project in Thailand, the framework addresses critical gaps in carbon governance for medium-scale irrigation construction, a sector underrepresented in current EIA literature yet vital to climate adaptation in emerging economies. Three machine learning models (artificial neural networks, random forest, and extreme gradient boosting) were used to capture complex emission patterns. Under the tested monsoon scenarios, all models achieved high predictive fidelity (R² = 0.997–0.998) with low normalized errors (mean absolute scaled error &lt; 0.05). The framework demonstrated 5 %–30 % potential emission reduction across operational–climatic scenarios, confirming its robustness for tropical infrastructure management and showing robust cross-algorithm consensus. Feature importance analysis highlighted embodied carbon in concrete (59.7 %) and steel reinforcement (24.8 %) as the primary emission sources, while environmental conditions emerged as influential factors. Furthermore, lower embodied‑carbon levels were observed during operational periods under ambient temperatures below 28 °C. The framework facilitates climate-responsive construction planning via real-time emission forecasting, scenario testing, and adaptive resource optimization. A three-tier implementation strategy encompassing climate-adaptive material scheduling, climate-responsive planning, and scenario-based emission testing demonstrates 5 %–30 % reduction potential while accommodating the technological constraints of tropical developing economies. This approach advances EIA methodology from retrospective assessment toward predictive, climate-responsive decision support, offering a scalable framework for integrating real-time carbon management into digital EIA platforms and aiding national net-zero infrastructure goals.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108276"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145615028","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":"Sustainable development of photovoltaic industry in China: An innovative multi-driver model","authors":"Shijia Chong ,&nbsp;Jing Wu ,&nbsp;I-Shin Chang","doi":"10.1016/j.eiar.2025.108314","DOIUrl":"10.1016/j.eiar.2025.108314","url":null,"abstract":"<div><div>To cope with the surging global energy demands and escalating environmental challenges, the sustainable development of the photovoltaic (PV) industry has become a pivotal solution for balancing energy security and ecological conservation. This study fills a critical gap in assessing China's PV industry sustainability by developing a context-adaptive multi-driver model, which systematically integrates economic, environmental, and resource dimensions and optimizes for China's regional heterogeneity and industrial constraints. The model incorporates core drivers (energy transition imperatives, technological advancements, economic incentives) and limiting factors (policy uncertainties, market competition pressures, land resource constraints) in the development of the PV industry to elucidate the multi-dimensional benefits, applying it to a provincial empirical analysis of sustainable potential. Findings reveal China's PV energy exhibits significant regional disparities, with economic costs ranging from 0.56 to 1.27CNY/kWh. A 1 kW PV plant generates annual environmental benefits of 37.24 to 655.19CNY, with developed regions demonstrating distinct carbon mitigation advantages. Land use benefits generally decline from southeast to northwest China. Employing the multi-driver evaluation model, the sustainability index (SI) of China's PV industry ranges from 0.09 to 0.83, with higher values in southeastern coastal regions compared to western inland areas. Thirty provinces are classified into three zones: Advantage Spearheading Zone, Potential Unleashing Zone, and Resource Unactivated Zone. Zone-specific strategies are proposed to promote the high-quality and sustainable development of the PV industry.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108314"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880048","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":"Nudge waste out: Understanding the impacts of green nudges on on-site construction waste management based on metaverse serious game","authors":"Yaoliang Zhuang ,&nbsp;Weisheng Lu ,&nbsp;Ziyu Peng ,&nbsp;Zhikang Bao ,&nbsp;Liang Yuan ,&nbsp;Yichen Yin","doi":"10.1016/j.eiar.2025.108293","DOIUrl":"10.1016/j.eiar.2025.108293","url":null,"abstract":"<div><div>Nudge theory proposes that subtle changes in choice presentation can have a profound influence on people's decisions and behaviors. Grounded in this theory, researchers and practitioners started to design and implement ‘green nudges’ that can alter workers' behavior in conducting on-site construction waste management (CWM). However, how exactly such nudges can be designed and implemented remains unclear. This paper explores ‘green nudges’ that can be deployed to boost CWM on site. Instead of developing physical nudges and implementing them, this research adopts the metaverse serious games. Firstly, several green nudge options were developed based on the literature and CWM practices. Their on-site implementations were simulated in metaverse serious games. Next, seventy participants with construction site management experience were randomly assigned to either an experimental group (exposed to green nudges) or a control group (operating under conventional conditions). The Mann-Whitney <em>U</em> tests and XGBoost-based SHAP analyses were conducted to compare the results between the two groups. It is discovered that participants who were exposed to green nudges, such as ‘moral suasion’, ‘simplification’, and ‘social comparison’ with timely feedback, showed improved performance in ‘participation count’, ‘waste collection rate’, and ‘sorting accuracy’ in CWM. Moreover, attitudes, perceived convenience, and emotion were found to significantly influence CWM performance. Waste managers should consciously tap into these green nudges to improve these aspects and ultimately achieve improved CWM performance.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108293"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680829","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":"Assessing policies for health impact and cost reduction from PM2.5 formation","authors":"Maywalin Jumsai Na Ayudhya ,&nbsp;Shabbir H. Gheewala ,&nbsp;Vladimir Strezov ,&nbsp;Jitti Mungkalasiri ,&nbsp;Sirima Panyametheekul ,&nbsp;Ekbordin Winijkul ,&nbsp;Trakarn Prapaspongsa","doi":"10.1016/j.eiar.2025.108265","DOIUrl":"10.1016/j.eiar.2025.108265","url":null,"abstract":"<div><div>Fine particulate matter (PM_2.5) poses significant health and economic burdens, particularly in developing regions, such as Southeast Asia. This study assesses the health impacts and economic costs of PM_2.5 formation in Thailand and evaluates mitigation policies to reduce these effects by 2037. Analyses at the city to national level examine major emission sources, including road transport, industry, power generation, household activities, open burning of agricultural waste, livestock, fertilizer application, and forest fires. Without intervention, health impacts are projected to increase by 22 % from 2022 levels, reaching 403,373 disability-adjusted life years (DALYs) annually and resulting in an economic burden of 301 billion Thai Baht (THB) per year. Scenario analysis identifies the best integrated mitigation strategy, which includes <em>E</em>-Buses, reducing energy consumption in industry and power generation, banning agricultural residue open burning, and decreasing forest fire hotspots. This strategy could reduce health impacts by up to 70 % and could yield an economic benefit of approximately 211 billion THB annually. A ban on agricultural burning is identified as one of the most effective interventions, potentially eliminating 38 % of the health burden in Thailand. Findings highlight the urgency of comprehensive, multi-sectoral policies to mitigate PM_2.5 pollution, with emphasis on agricultural waste management and enhanced emission controls. These insights provide a framework for other Southeast Asian countries facing similar air pollution challenges.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108265"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680835","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":"Assessing and improving the resilience of a stakeholder cooperation network for urban waterlogging disaster management from the perspective of social capital: A case study of China","authors":"Keling Liu ,&nbsp;Yixiao Yang ,&nbsp;Dan Song ,&nbsp;Bin Chen","doi":"10.1016/j.eiar.2025.108305","DOIUrl":"10.1016/j.eiar.2025.108305","url":null,"abstract":"<div><div>An effective urban waterlogging disaster management (UWDM) network enables cities to respond promptly to and recover from disasters. The social capital embedded within the UWDM network, formed by various stakeholders, is a key resource for establishing urban disaster resilience. This study constructs an evaluation framework based on the relationships among social network analysis (SNA), social capital, and network resilience to provide a quantifiable approach for improving these networks. Using SNA, we examined policy documents related to urban waterlogging disasters in China to explore the evolving roles and interaction mechanisms of stakeholders and the social capital. This framework enables the identification of stakeholder roles, the assessment of dynamic changes in social capital and network resilience, and the selection of optimal strategies to increase the network efficiency. The results show that social capital and network resilience initially decrease and then increase as the urban waterlogging disaster progresses. Increased cooperation among local governments, NGOs, and other stakeholders can increase social capital and network resilience by up to 75.96 % and 58.93 %, respectively. These findings provide valuable insights into stakeholder cooperation patterns and stage-dependent social capital dynamics, which can inform future policy development in urban waterlogging.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108305"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733446","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":"Revealing the nighttime warm effects of urban water bodies: Evidence from Wuhan, China","authors":"Xiangyun Zeng ,&nbsp;Qiaoling Luo ,&nbsp;Mingxing Liu ,&nbsp;Youcheng Chu ,&nbsp;Jiayu Rong ,&nbsp;Junfang Zhou","doi":"10.1016/j.eiar.2025.108303","DOIUrl":"10.1016/j.eiar.2025.108303","url":null,"abstract":"<div><div>Water-based solutions are considered to be an effective measure to address the urban heat problem. While urban water bodies provide cooling benefits during the day, their potential nighttime warming effects (WWE) remain poorly understood. Take Wuhan, known as “City of Hundred Lakes”, as an example, this gap was addressed by introducing the water surface temperature (WST) and water warming intensity (WWI) based on the intrinsic process of WWE to quantify the warming effects. The heterogeneity of WWE at night in summer was revealed using ECOSTRESS with a high spatial resolution of 70 m. Random forest regression, Shapley additive explanations, and accumulated local effects models were employed to examine the influence mechanism of WWE. The findings indicate that: (1) 81.15 % of lakes in Wuhan become “heat sources” at summer night during a typical high-temperature day, with an obvious warming effect, and the warming impact distance is about 375 m on average. (2) Among lakes with warming effects, the average surface temperature was 1.06 °C higher than the Wuhan Metropolitan Development Area average, causing an average warming impact of 1.07 °C. (3) Lake area, distance to city center, and green space aggregation were dominant features influencing WST and WWI, while WWE was closely linked to urbanization. Controls on urban form, such as vegetation features, can effectively mitigate the intensity of warming impacts, while integrated controls on internal and external features, such as building height and building volume, can help reduce WST. This study provided a nighttime perspective judgment for coping with the impact of water bodies on the urban thermal environment.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108303"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733445","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":"Elucidating the spatial heterogeneity and its driver factors of land surface temperature responses to solar farm development in China","authors":"Yuqing Dong ,&nbsp;Xin Lyu ,&nbsp;Xiaobing Li ,&nbsp;Dongliang Dang","doi":"10.1016/j.eiar.2025.108302","DOIUrl":"10.1016/j.eiar.2025.108302","url":null,"abstract":"<div><div>Solar energy, as a low-carbon energy source, plays a critical role in the global energy transition. While existing studies have examined the impact of SF development on land surface temperature (LST), inconsistent conclusions underscore an urgent need to systematically reveal the spatial heterogeneity of these impacts and their driving factors. Therefore, this study takes 1266 solar farms (SFs) in China as research objects. Based on the Google Earth Engine platform and Landsat satellite data, we revealed the patterns of LST impacts from SF construction and operation. Combined with machine learning methods, we systematically elucidated the spatial heterogeneity characteristics of SF on LST, and simulated the potential future impacts of SF development on LST at the grid scale across China. The results showed that SF development overall caused a significant increase in LST of 0.809 °C (<em>p</em> &lt; 0.001); however, spatial differentiation was highly significant. Specifically, warming dominated in eastern humid zones, cropland land cover types, and small-scale SFs, while cooling prevailed in northwest arid zones, barren land cover types, and large-scale SFs. Macro-scale geoclimatic factors (e.g., air pressure, solar radiation) exhibited the most prominent regulatory effects on LST, followed by ecological and layout factors (e.g., NDVI, SF area). In addition, one of the key findings was that ignoring the construction year of different SFs overestimated their impact on LST, which was being reported for the first time. The research framework can provide methodological extensions for research in similar regions, and the findings can provide theoretical support for the sustainable development of solar energy.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108302"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733443","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":"Innovative safety framework and direct load–settlement method to optimize vertical subgrade modulus in sustainable mat foundations","authors":"Antonio J. Sánchez-Garrido ,&nbsp;José F. Moreno-Serrano ,&nbsp;Ignacio J. Navarro ,&nbsp;Víctor Yepes","doi":"10.1016/j.eiar.2025.108191","DOIUrl":"10.1016/j.eiar.2025.108191","url":null,"abstract":"<div><div>This work presents a rigorously formulated methodology for directly estimating the vertical subgrade modulus (<em>Ks</em>) in slab foundations, overcoming key deficiencies of conventional indirect and semi-direct approaches. The model integrates elastic half-space theory with multilayer settlement analysis and oedometer-based consolidation mechanics, explicitly incorporating depth of influence and load compensation effects—parameters typically excluded from standard practice. The proposed formulation yields a <em>Ks</em> value of 5.30 MN/m³, closely matching the harmonic mean of established upper (17.82 MN/m³) and lower (2.91 MN/m³) bounds, thereby producing a modulus consistent with elastic energy principles and mechanistically grounded, suitable for advanced soil–structure interaction modeling. A new, application-specific safety coefficient for <em>Ks</em> is introduced, offering a calibrated metric for reliability-based foundation design under spatially variable subsurface conditions. The study implements a life-cycle sustainability assessment across three reinforced concrete slab foundation alternatives, utilizing a hybrid neutrosophic analytic hierarchy process (NAHP-G) in conjunction with the ELECTRE IS multi-criteria decision method. This framework enables integrated evaluation across structural, environmental, and socio-economic dimensions. Results indicate a 2.5-fold enhancement in the social safety index and a 50 % relative improvement in sustainability performance compared with baseline methodologies. The outcomes delineate a unified analytical and decision-making framework for subgrade characterization and foundation optimization, advancing the state of practice in geotechnical design and sustainability integration.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108191"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614942","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":"Integrating land degradation states and trends to identify priority areas for ecological restoration in China's drylands","authors":"Yi Han ,&nbsp;Wenwu Zhao ,&nbsp;Paulo Pereira","doi":"10.1016/j.eiar.2025.108269","DOIUrl":"10.1016/j.eiar.2025.108269","url":null,"abstract":"<div><div>Land degradation is a global ecological and environmental issue to which the drylands with vulnerable socio-ecological systems are particularly sensitive. Ecological restoration is regarded as a vital approach to halt, curb or reverse land degradation. However, the lack of accurate information on land degradation dynamics poses a significant barrier to developing effective restoration strategies. Here, we selected fourteen typical land degradation processes in China's drylands, employed a generalised additive model to identify degradation thresholds and classify degradation states, and analysed degradation trends using the Theil-Sen slope statistic and Mann-Kendall test. We then applied the convergence of evidence method to conduct a comprehensive, multidimensional assessment coupling degradation states and trends, ultimately identifying priority areas for ecological restoration. The results showed that aridification, loss of soil organic carbon, and soil alkalisation are the most widespread forms of land degradation facing China's drylands. 70.33 % of the area is affected by 1 to 7 types of land degradation (mildly degraded state), 25.63 % is affected by 8 to 14 types (severely degraded state), and 4.04 % shows no signs of degradation (non-degraded state). While land degradation across all three states generally exhibits a stable trend, mildly degraded areas showed signs of improvement, whereas severely degraded areas remain at risk of further degradation. Based on the states and trends of land degradation, China's drylands can be categorised into restoration-priority areas (6.79 %), conservation-priority areas (11.74 %), and management-priority areas (81.47 %), each with distinct focus and intervention needs. This study can help decision-makers understand the dynamics of land degradation and develop priority strategies for ecological restoration.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108269"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145615027","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}