Yiannis G. Zevgolis , Evdoxia Bintsi-Frantzi , Christodoulos I. Sazeides , Alexandros D. Kouris , Vasiliki Kakampoura , Christos Matsoukas , Dimitrios Avtzis , Konstantinos Theodorou , Panayiotis G. Dimitrakopoulos
{"title":"Spatial patterns of bark beetle–induced pine mortality on a Mediterranean island: Implications for forest impact assessment","authors":"Yiannis G. Zevgolis , Evdoxia Bintsi-Frantzi , Christodoulos I. Sazeides , Alexandros D. Kouris , Vasiliki Kakampoura , Christos Matsoukas , Dimitrios Avtzis , Konstantinos Theodorou , Panayiotis G. Dimitrakopoulos","doi":"10.1016/j.eiar.2026.108381","DOIUrl":"10.1016/j.eiar.2026.108381","url":null,"abstract":"<div><div>Mediterranean island pine forests occupy a climatic and biogeographic intersection where intensifying droughts and expanding bark beetle populations converge to redefine disturbance regimes. In these spatially confined ecosystems, even moderate outbreaks can induce disproportionate structural and functional degradation, yet their dynamics remain poorly resolved. Here, we establish an island-wide, integrative framework for disentangling biotic and climatic drivers of forest decline on the island of Lesvos (eastern Mediterranean), where severe pine mortality emerged in 2021–2022. By coupling satellite-based spectral diagnostics with stratified field validation, spatial statistics, and ecological niche modelling, we reconstruct the spatial logic of bark beetle–induced mortality. Remote sensing revealed coherent gradients of canopy decline corroborated by 1707 ground records, while Kernel Density Estimation, Getis-Ord Gi*, and Local Moran's I analyses showed statistically significant mortality nuclei embedded in heterogeneous forest matrices. Predictive modelling identified tree cover density, drought intensity, and shallow soils as dominant outbreak correlates. The resulting risk surfaces demonstrate that insular forest dieback is neither diffuse nor random but physiologically and topoclimatically structured. This spatially explicit diagnostic framework bridges disturbance ecology and environmental impact assessment, providing a basis for early warning, vulnerability mapping, and adaptive management of insular forest ecosystems.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108381"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170884","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}
Yating Hou , Jun Liu , Xiaolong Tang , Honghong Yi , Tiantian Li , Tong Zhu
{"title":"Review of long-term exposure to road traffic-related air pollution and mortality: Mechanism, exposure, and meta-analysis","authors":"Yating Hou , Jun Liu , Xiaolong Tang , Honghong Yi , Tiantian Li , Tong Zhu","doi":"10.1016/j.eiar.2026.108380","DOIUrl":"10.1016/j.eiar.2026.108380","url":null,"abstract":"<div><div>Traffic-related air pollution (TRAP) is a significant risk factor influencing global public health, and an increasing number of studies have highlighted its impacts on diverse adverse health outcomes. In this study, we conducted a systematic review and meta-analysis of cohort and case-control studies identified in PubMed, Web of Science and Embase from database inception to Dec 1, 2025, to evaluate the long-term exposure of TRAP on all-cause and cause-specific mortality. Of the 13, 435 records screened, 64 studies were included in the systematic review. We found significant associations between long-term TRAP exposure and elevated risks of multiple mortality outcomes. The pooled risk ratios per 10 μg/m<sup>3</sup> increase in nitrogen dioxide were 1.04 (95% CI: 1.03–1.06), 1.05 (1.02–1.08), and 1.04 (1.02–1.07) for all-cause, cardiovascular, and respiratory mortality, respectively, and per 10 μg/m<sup>3</sup> increase in fine particulate matter were 1.09 (1.05–1.13), 1.07 (1.05–1.08), and 1.08 (0.94–1.24), respectively. However, no significant differences were observed between the health effects of TRAP exposure and those of ambient air pollution. Stratified meta-analysis revealed greater risks in studies employing dispersion models for exposure assessment than in those using land-use regression models. Moreover, a considerable proportion of epidemiological studies utilizing source apportionment methods reported higher health risks associated with TRAP. We propose that the adoption of various exposure assessment methods could introduce differences in the magnitude of the associations and that the health impacts of TRAP exposure may be underestimated. Future studies are needed to explore traffic-specific exposure-response functions to more accurately estimate TRAP-related health risks.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108380"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170889","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}
Glenda Terán-Cuadrado , Anissa Nurdiawati , Sami G. Al-Ghamdi
{"title":"Comparative prospective life cycle assessment of decarbonization strategies in the Saudi cement industry","authors":"Glenda Terán-Cuadrado , Anissa Nurdiawati , Sami G. Al-Ghamdi","doi":"10.1016/j.eiar.2026.108362","DOIUrl":"10.1016/j.eiar.2026.108362","url":null,"abstract":"<div><div>Decarbonizing the cement sector is essential for meeting global climate targets and maintaining industry competitiveness. As one of the world's largest cement producers, Saudi Arabia has committed to achieving net-zero emissions by 2060. Given the technological heterogeneity in Saudi cement facilities, plant-level data are crucial for accurately assessing feasible decarbonization pathways. This study applied prospective life cycle assessment to evaluate the environmental performance of clinker and blended cement production in Saudi Arabia from 2020 to 2060 under three scenarios: business-as-usual, ambitious, and more ambitious. By integrating plant-specific data with regional projections from the IMAGE integrated assessment model, our model indicated potential GHG reductions of up to 80% by 2060 at the cement level in the more ambitious scenario relative to 2020. This reduction was mainly driven by the adoption of efficient kilns equipped with carbon capture and storage technologies (CCS), covering 50% of cement production; a 50% reduction in the clinker-to-cement ratio; full substitution of heavy fuel oil with natural gas, grid electricity, and biomass-rich fuels; and the implementation of waste heat recovery systems. Without CCS, GHG emissions dropped by 40%, requiring higher market penetration of blended cements, such as Portland pozzolanic and limestone-calcined clay cement (over 60%). Additionally, more than 90% use of alternative fuels, with biomass-rich ones representing over 20%, is estimated despite potential higher thermal demand and risks of acidification and eutrophication.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108362"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170830","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}
Chuanpeng Zhao , Mingming Jia , Rong Zhang , Quan Han , Chunying Ren , Zongming Wang
{"title":"Mapping coastal aquaculture ponds in China without dependence on water levels: New insights from pond dikes derived from Sentinel-1/2 imagery","authors":"Chuanpeng Zhao , Mingming Jia , Rong Zhang , Quan Han , Chunying Ren , Zongming Wang","doi":"10.1016/j.eiar.2026.108406","DOIUrl":"10.1016/j.eiar.2026.108406","url":null,"abstract":"<div><div>Coastal aquaculture ponds support global food production and socio-economic development but can also cause environmental degradation and biodiversity loss. Existing mapping studies typically rely on water-index-based approaches. These approaches fail during low water levels, when ponds appear as mudflats and are no longer distinguishable as water bodies. To overcome this limitation, a new framework centered on detecting pond dikes and defining all land covers enclosed by these dikes as aquaculture ponds was proposed. Using coastal China as a case study, a random forest classifier based on an ensemble of decision trees and majority voting was applied to Sentinel-1/2 imagery to extract pond dikes and their enclosed areas, producing a comprehensive aquaculture pond map. This map includes ponds with high water levels, ponds exposed as mudflats, and ponds partly covered by halophyte vegetation or artificial structures, achieving an overall accuracy of 96.1%. By reconstructing the optimal decision rules, NDVIre2 and NDSI were identified as highly sensitive indices for detecting pond dikes in coastal China and in other global case regions, demonstrating effective repurposing of existing remote-sensing indices. The proposed framework offers a water-level-independent, interpretable method for identifying aquaculture ponds and provides a robust basis for sustainable coastal management.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108406"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384950","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}
Tiago H. Marum , Ronney R. Agra , Ramoel Serafini , Alexandre Maximiano , Fábio Lofrano , Fernando A. Kurokawa
{"title":"A novel framework for temporal data transformation in environmental risk assessment: Addressing data variability and gaps in monitoring","authors":"Tiago H. Marum , Ronney R. Agra , Ramoel Serafini , Alexandre Maximiano , Fábio Lofrano , Fernando A. Kurokawa","doi":"10.1016/j.eiar.2026.108391","DOIUrl":"10.1016/j.eiar.2026.108391","url":null,"abstract":"<div><div>Environmental risk assessment requires exposure metrics that reflect contamination temporal dynamics, yet monitoring data are often irregular, censored, and collected over heterogeneous time frames. Conventional techniques can misrepresent exposure, undermining the reliability of risk estimates. This study proposes a structurx'ed. framework for transforming monitoring time series into representative concentration values tailored for risk assessment. The framework combines assessing sampling regularity, detecting and characterizing seasonality and trends using nonparametric statistical tests, and selecting transformation strategies according to the temporal behavior of each series. By doing so, it fills a critical methodological gap, providing a transparent, reproducible workflow to incorporate temporal variability, data gaps, and censored observations into exposure characterization. The resulting transformed values preserve the statistical properties and integrity of the original data while yielding temporally representative metrics that enable the use of secondary monitoring datasets in regulatory contexts. In addition, byproducts such as detection frequency, sampling representativeness indicators, and seasonality/trend diagnostics enhance understanding of system behavior and support risk management decisions. The framework is demonstrated through a case study of dissolved iron in the Doce River following the Fundão dam failure in Brazil, a highly variable post-disaster setting with pronounced temporal complexity and monitoring irregularities. The application illustrates how the proposed approach can improve robustness, interpretability, and regulatory acceptability of environmental risk assessments based on real-world monitoring data.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"119 ","pages":"Article 108391"},"PeriodicalIF":11.2,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147384957","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}
Chike C. Ebido , Shehanas Pazhoor , Yanyan Huang , Marie K. Harder
{"title":"Capturing IPBES diverse values of nature for EIA by surfacing community values: A demonstration in Nigeria","authors":"Chike C. Ebido , Shehanas Pazhoor , Yanyan Huang , Marie K. Harder","doi":"10.1016/j.eiar.2026.108336","DOIUrl":"10.1016/j.eiar.2026.108336","url":null,"abstract":"<div><div>An identified gap in existing Environmental Impact Assessments (EIA) processes is neglect of human-nature interconnectedness: a lack of accommodation of less-tangible, cultural values of nature. This leads to poor mitigation outcomes and local discontent. Recently, the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) established the crucial importance of consideration of diverse human-nature values and specifically intrinsic and relational values ones. This study explores the potential of a novel approach to capture such diverse values for input into EIA Scoping Stage: it starts with surfacing community values holistically, inclusive of less-tangible ones. We operationalize with a three-step process: (1) surfacing community shared values using a values crystallization method <em>WeValue InSitu</em>; (2) identifying values statements explicitly relating to human–nature relations; and (3) classifying those into instrumental, intrinsic, and relational IPBES categories. Field data collected with 17 local groups in Nigeria showed that all three IPBES value categories including hybrid forms were captured, suggesting usefulness of the approach, and a need to revise current valuation methods which assume instrumental values are dominant and sufficient for consideration. Retrospective analysis of previously published <em>WeValue InSitu</em> data from four other countries also identified relational values, suggesting generalizability. This proof-of-concept study took place outside of any EIA project, with research design for a subsequent study having this approach embedded in a formal EIA, and the impact of including diverse and thus relational values being tracked through all EIA Stages and the resulting Mitigation Measures, with careful consideration of operationalizability.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108336"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145972702","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}
Shuai Feng , Guiwen Liu , Rui Li , Kaijian Li , Liu Chen , Xu Duan
{"title":"Measurement, prediction, and interpretation of industrial carbon unlocking efficiency","authors":"Shuai Feng , Guiwen Liu , Rui Li , Kaijian Li , Liu Chen , Xu Duan","doi":"10.1016/j.eiar.2026.108330","DOIUrl":"10.1016/j.eiar.2026.108330","url":null,"abstract":"<div><div>Measuring industrial carbon unlocking efficiency (ICUE) has become a central concern in contemporary environmental management research and practice. However, the traditional super-efficiency slack-based measure (SBM) model faces two major limitations: its limited ability to forecast efficiency and the low interpretability of its efficiency scores. To address these shortcomings, this study proposes an integrated framework that combines super-efficiency SBM with machine learning and Shapley additive explanations to measure, predict, and interpret ICUE. Using panel data from 30 Chinese provinces spanning 2000–2021, the framework is empirically validated. The findings show that: 1) Gradient Boosted Decision Trees deliver the best predictive performance (R<sup>2</sup> = 0.924; MAE = 0.0315; RMSE = 0.0517; MAPE = 0.0463); 2) among input variables, the technological inputs contributes the most and exhibits a U-shaped relationship with ICUE; and 3) certain institutional inputs, such as investments in industrial pollution control and environmental protection, are negatively associated with ICUE. Within the super-efficiency SBM framework, these expenditures immediately inflate the total input vector, while their effect on reducing undesirable outputs is subject to considerable time lags, thereby suppressing efficiency scores. The proposed framework not only predicts ICUE but also demystifies the super-efficiency SBM “black box,” providing a tool for the measurement, prediction, and interpretation of ICUE.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108330"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145920767","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}
Quan Wen , Ruixue Mao , Yuxi Zheng , Shipian Shao , Dabo Guan
{"title":"Tracing carbon flow to unravel carbon lock-in in China through a supernetwork-based perspective for targeted decarbonization","authors":"Quan Wen , Ruixue Mao , Yuxi Zheng , Shipian Shao , Dabo Guan","doi":"10.1016/j.eiar.2025.108278","DOIUrl":"10.1016/j.eiar.2025.108278","url":null,"abstract":"<div><div>The pathway to carbon neutrality requires not only reducing emissions but also addressing the structural complexity of how emissions are generated, transmitted, and embedded across regions and sectors. Conventional mitigation strategies target high-emission locations, yet they overlook who emits, who enables, and who intermediates in the carbon system. This study develops a carbon flow supernetwork by integrating multi-regional input-output analysis with supernetwork theory, enabling tracing where emissions occur, how they move, and who sustains them from 2007 to 2017. Results reveal a three-layered structure of carbon lock-in in China. Upstream emitters like Inner Mongolia, Shanxi, and Hebei concentrate emissions through coal-based electricity and heavy industries. Downstream distributors, notably coastal regions such as Guangdong and Jiangsu, account for over 60 % of carbon inflows via embedded trade and final demand. Structural intermediaries, including Shandong and Henan via logistics and information services, exhibit high network centrality and govern carbon circulation despite moderate emission levels. Furthermore, the Jing-Jin-Ji and Yangtze River Delta function as systemic carbon anchors, where dense industrial networks and embedded supply chains lock China's economy into high-emission trajectories. As the system matured from 2007 to 2015, connectivity and internal carbon cycling increased, but signs of topological reconfiguration emerged post-2015, coinciding with China's green transition efforts. Carbon governance should shift from targeting emission volume to incorporating network-sensitive, system-level interventions. Prioritizing central intermediaries and redesigning flow pathways offers a more effective and equitable route toward carbon neutrality in structurally complex economies like China.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108278"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614945","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":"Seeing heritage through green and blue: Assessing the visual influence of blue-Green infrastructure (BGI) in historic urban areas (HUAs)","authors":"Yuyang Peng , Wen Li , Steffen Nijhuis , Yingwen Yu , Zaichen Wu","doi":"10.1016/j.eiar.2025.108301","DOIUrl":"10.1016/j.eiar.2025.108301","url":null,"abstract":"<div><div>Historic urban areas (HUAs) are visually and culturally sensitive environments where blue-green infrastructure (BGI) plays an increasingly important role in shaping spatial identity and environmental quality. While BGI's ecological functions are well documented, its influence on human visual perception, particularly within HUAs, remains largely unexplored. Addressing this gap, this paper proposes an integrative framework to assess how BGI affects visual experiences in heritage contexts, bridging methodological, perceptual, and user-group dimensions. By combining UAV-based photogrammetry with a three-layered perception model, the research integrates spatial analysis and empirical methods across seeing (eye-tracking), feeling (questionnaire), and understanding (interviews) layers. Street-level BGI exposure was spatially quantified and used to inform perception experiments involving both expert and general public groups. This multi-methodological, multi-layered, cross-group approach extends existing research by providing a comprehensive examination of BGI's visual impact at different cognitive levels, particularly within historic settings. Findings reveal that BGI enhances perceptual diversity, visual preference evaluation, and cognitive engagement across both groups. Although it may slightly divert attention from dominant heritage features, BGI fosters broader visual exploration and higher environmental ratings. Experts interpret BGI through more systemic and functional perspectives, while the public emphasizes emotional, aesthetic, and recreational values. Overall, this study presents a replicable framework integrating digital spatial modeling with layered perception analysis, offering new insights for evaluating and enhancing visual environments in HUAs. It supports more inclusive visual assessments and provides a basis for informed planning and selective design interventions in heritage contexts.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108301"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733447","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":"Absolute sustainability in product design and development: A holistic framework integrating environmental, social, economic and functional performance","authors":"Afonso Gonçalves , Gonçalo Cardeal , Inês Ribeiro , Elsa Henriques","doi":"10.1016/j.eiar.2025.108310","DOIUrl":"10.1016/j.eiar.2025.108310","url":null,"abstract":"<div><div>This study proposes a new paradigm in sustainable product design and development by integrating absolute sustainability, moving beyond relative improvements to achieving absolute thresholds. Research often focuses on relative gains or frames absolute sustainability solely in environmental terms, overlooking interaction with social sustainability, economic viability, and functional performance. Previous studies identified a major gap in frameworks to support the shift of manufacturers to absolute approaches. To address these gaps, this study presents the Design4AS Framework (Product Design and Development for Absolute Sustainability Framework), a holistic framework to integrate absolute sustainability into product design and development. It establishes quantifiable thresholds, framing environmental sustainability within the biophysical limits of the planet while balancing social, economic, and functional performance. For setting social targets, a novel approach is introduced to ensure basic human needs compliance at the product level. The framework is validated within an industrial context, highlighting opportunities and challenges. Its application reveals relevance, though complex product categories may face challenges due to data requirements. Findings show that while internal factors like company resources are relevant, external conditions like supply chain dynamics, business models, consumer behaviour or policy are crucial for absolute sustainability. Navigating trade-offs is key, as environmental thresholds vary with sharing principles, and social targets require data availability. This framework supports absolute sustainability in manufacturing.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"118 ","pages":"Article 108310"},"PeriodicalIF":11.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786841","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}