Environmental Impact Assessment Review最新文献

Exploring influencing factors of health resilience for urban buildings by integrated CHATGPT-empowered BERTopic model: A case study of Hong Kong

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-08 DOI: 10.1016/j.eiar.2025.107852

Tianlong Shan , Fan Zhang , Albert P.C. Chan , Shiyao Zhu , Kaijian Li , Linyan Chen , Yifan Wu

Enhancing building health resilience (BHR) is a crucial pathway to mitigate people's health loss under natural or manmade disturbances. However, as BHR is quite a new concept, previous research lacks a comprehensive investigation and deep understanding of BHR influencing factors. Topic modeling method is innovative to extract topics from multi-source data, including literature, news, reports and other unstructured online data, which could fill the gap of lacking sufficient literatures and other sources support. This study aims to explore BHR influencing factors by integrating and literature review-based identification and topic modeling method. Due to ChatGPT's exceptional ability to extract information from unstructured text data, an integrated ChatGPT-empowered BERTopic (BERTGPT) model is proposed for multi-source exploration, exploring BHR influencing factors by twice ChatGPT empowerment in BERTopic, which can act as a supplementary of literature-based identification. Results show that BHR influencing factors comes from four dimensions: building attributes, building environment, building demographics, and human behavior. Furthermore, this model was validated by classification accuracy and summarization precision, demonstrating the model's effectiveness in extracting representative topics from multi-source unstructured data. This study integrated the factors identified from the literature and multi-source data, providing a clear direction for BHR enhancement. This study also develops a novel AI-enabled approach for exploring potential factors influencing BHR and other emerging concepts lacking sufficient literature support, utilizing multi-source unstructured data.

{"title":"Exploring influencing factors of health resilience for urban buildings by integrated CHATGPT-empowered BERTopic model: A case study of Hong Kong","authors":"Tianlong Shan , Fan Zhang , Albert P.C. Chan , Shiyao Zhu , Kaijian Li , Linyan Chen , Yifan Wu","doi":"10.1016/j.eiar.2025.107852","DOIUrl":"10.1016/j.eiar.2025.107852","url":null,"abstract":"<div><div>Enhancing building health resilience (BHR) is a crucial pathway to mitigate people's health loss under natural or manmade disturbances. However, as BHR is quite a new concept, previous research lacks a comprehensive investigation and deep understanding of BHR influencing factors. Topic modeling method is innovative to extract topics from multi-source data, including literature, news, reports and other unstructured online data, which could fill the gap of lacking sufficient literatures and other sources support. This study aims to explore BHR influencing factors by integrating and literature review-based identification and topic modeling method. Due to ChatGPT's exceptional ability to extract information from unstructured text data, an integrated ChatGPT-empowered BERTopic (BERTGPT) model is proposed for multi-source exploration, exploring BHR influencing factors by twice ChatGPT empowerment in BERTopic, which can act as a supplementary of literature-based identification. Results show that BHR influencing factors comes from four dimensions: building attributes, building environment, building demographics, and human behavior. Furthermore, this model was validated by classification accuracy and summarization precision, demonstrating the model's effectiveness in extracting representative topics from multi-source unstructured data. This study integrated the factors identified from the literature and multi-source data, providing a clear direction for BHR enhancement. This study also develops a novel AI-enabled approach for exploring potential factors influencing BHR and other emerging concepts lacking sufficient literature support, utilizing multi-source unstructured data.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107852"},"PeriodicalIF":9.8,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143351268","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}

引用次数: 0

Imperfect detection of terrestrial mammals in environmental impact assessment (EIA) baseline surveys may compromise decision-making and mitigation measures

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-08 DOI: 10.1016/j.eiar.2025.107850

Amanda M.S. Dias , Carly Cook , Adriano Pereira Paglia , Rodrigo Lima Massara

The Environmental Impact Assessment (EIA) is critical for managing human impacts on biodiversity. Reliable baseline data is essential to assess potential development effects, while inaccurate information about species presence or absence can lead to poor decisions. We examined how methodological choices, such as sampling methods (i.e., camera traps, census, indirect sign surveys, interviews with locals), affect species detection in baseline biodiversity surveys for EIA in mining projects and scientific inventories, focusing on the Iron Quadrangle region of Minas Gerais, Brazil. We employed occupancy models, which consider imperfect detections, to assess how study type and methodological attributes influence false-positive and true detections of medium to large-sized terrestrial mammals. Our analysis revealed that study type strongly predicted false positives, with a potential additive effect with sampling method. In EIA baseline surveys, sign surveys registered 2.1 % false positives, rising to 4.4 % for interviews, while scientific studies had nearly zero false positives. For true detections, we found an interaction between study type and sampling method, where species census, camera traps, and sign surveys were up to three times less likely to detect species in EIA surveys compared to scientific studies. This suggests that EIA characteristics may reduce correct species detection. Both false-positive and true detections may be influenced by the inadequate quality of EIA baseline surveys. This underscores the need to incorporate detection estimates into biodiversity surveys. If studies fail to account for detection probability they can lead to biased and misleading results, which in the case of baseline surveys, could result in unfounded decisions within the EIA process.

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引用次数: 0

Pricing eco-products using happiness data: The case of China

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-08 DOI: 10.1016/j.eiar.2025.107853

Bangzhu Zhu , Xiaozhen Fan , Ping Wang

Linkages between eco-products and residents' happiness play a crucial role in global sustainable development. However, few studies have adopted happiness data to price eco-products and focused on the potential impact of eco-products on residents' happiness. In this paper, we match the 2010–2021 China General Social Survey (CGSS) microdata with interprovincial eco-product value and construct an eco-product pricing model based on the life satisfaction approach by measuring the marginal substitution effects of eco-product value and residents' incomes. The results of our study show that eco-product value realization significantly enhances the residents' happiness, which remains valid after a series of endogeneity and robustness tests. Eco-product value realization enhances residents' happiness by improving their perceptions of social fairness and promoting the development of green finance. Environmental regulation positively moderates eco-product value realization and residents' happiness. Based on the eco-product pricing model, the price of eco-products is ¥576.27, implying residents on average are willing to pay ¥576.27 for eco-products. The pricing results exhibit heterogeneity across various factors, including income, age, gender, education, marital status, number of children, workplace, and urban-rural differences. Specifically, residents with middle and high income, youth, male, high education, a high number of children, working in state-owned enterprises, and rural areas exhibit a higher willingness to pay for eco-products. Our study provides new insights into pricing the economic value of eco-products.

{"title":"Pricing eco-products using happiness data: The case of China","authors":"Bangzhu Zhu , Xiaozhen Fan , Ping Wang","doi":"10.1016/j.eiar.2025.107853","DOIUrl":"10.1016/j.eiar.2025.107853","url":null,"abstract":"<div><div>Linkages between eco-products and residents' happiness play a crucial role in global sustainable development. However, few studies have adopted happiness data to price eco-products and focused on the potential impact of eco-products on residents' happiness. In this paper, we match the 2010–2021 China General Social Survey (CGSS) microdata with interprovincial eco-product value and construct an eco-product pricing model based on the life satisfaction approach by measuring the marginal substitution effects of eco-product value and residents' incomes. The results of our study show that eco-product value realization significantly enhances the residents' happiness, which remains valid after a series of endogeneity and robustness tests. Eco-product value realization enhances residents' happiness by improving their perceptions of social fairness and promoting the development of green finance. Environmental regulation positively moderates eco-product value realization and residents' happiness. Based on the eco-product pricing model, the price of eco-products is ¥576.27, implying residents on average are willing to pay ¥576.27 for eco-products. The pricing results exhibit heterogeneity across various factors, including income, age, gender, education, marital status, number of children, workplace, and urban-rural differences. Specifically, residents with middle and high income, youth, male, high education, a high number of children, working in state-owned enterprises, and rural areas exhibit a higher willingness to pay for eco-products. Our study provides new insights into pricing the economic value of eco-products.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107853"},"PeriodicalIF":9.8,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143351267","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}

引用次数: 0

Modelling impacts of infrastructure and climatic factors on reindeer forage availability in winter

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-07 DOI: 10.1016/j.eiar.2025.107857

Ilona Kater , Robert Baxter

The cumulative impacts of climate change and human activities on species are often studied in isolation, limiting understanding of their combined effects. The present research addresses this limitation by proposing a novel conceptual model to assess the cumulative impacts of various anthropogenic developments and environmental conditions on ungulates. The conceptual model is applied to semi-domesticated reindeer, specifically in the context of winter grazing in northern Fennoscandia, as this species is facing an increasing range and intensity of stressors detrimental to its health and survival.

The conceptual framework for the model is described, measuring forage loss due to physical, behavioural and climatic factors. Using data from previous studies, this framework is applied to assess loss of reindeer forage in winter pastures due to construction of roads, mines, hydropower stations and population centres. Results of this case study show that excluding behavioural impacts would lead to an 86 % underestimation of forage loss, while ignoring access limitations caused by snow conditions would result in an 11 % underestimation. Additionally, synergistic effects from multiple infrastructures impact 22 % of the area.

Although the model does not yet account for factors like habitat connectivity or inter-annual weather variability, it provides a multi-faceted framework for evaluating cumulative impacts, offering a more holistic approach than existing models. Its adaptability also allows for application to other regions, species, or land-use scenarios. These findings emphasise the necessity of considering cumulative impacts within environmental impact assessments used to inform sustainable land-use and conservation strategies.

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引用次数: 0

Estimating environmental impact of rooftop photovoltaic from the perspective of thermal power transmission

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-07 DOI: 10.1016/j.eiar.2025.107848

Mei Shan , Hongyu Zhang , Yuan Wang , Zhi Qiao , Jian Zuo , Yue Xu

The development of rooftop PV (RPV) plays a significant role in addressing the dual challenges of environmental air pollution and climate change, as RPV-generated electricity is an important substitute of traditional coal-fired power and can promote energy transition. Besides, RPV power generation, due to its self-consumption nature by the users, will not only reduce the local supply of coal-fired power, but also reduce the coal-fired power transmitted from other regions, ultimately leading to the spatial spillover effect of RPV environmental impact. Therefore, this study aims to examine the inter-provincial transmission of RPV environmental mitigation potential and economic benefits in China. Based on the revised rooftop vector data, we estimate that RPV deployment in the built-up and densely populated eastern region will reduce the emission of 45–161, 0.01–0.03 and 0.01–0.03 million tons (MT) yr⁻¹ for carbon, SO₂ and NOx in the western China, representing up to 15 %, 14 %, and 11 % of the western provinces' emission from the power and heat sector in 2020, respectively. Correspondingly, the environmental benefits of emission reduction in eastern region show obvious spillover effect (16 %), which lead to additional net benefits of 667–996 billion yuan for the western provinces. Integrating the environmental benefits as a subsidy into power benefits reveals that this type of subsidy yields higher benefits than current policies. Therefore, we provide valuable insights into targeted RPV deployment, promoting environmental efficiency and economic benefits. This new perspective on the spatial spillover effects of renewable energy can also be applied to other countries.

{"title":"Estimating environmental impact of rooftop photovoltaic from the perspective of thermal power transmission","authors":"Mei Shan , Hongyu Zhang , Yuan Wang , Zhi Qiao , Jian Zuo , Yue Xu","doi":"10.1016/j.eiar.2025.107848","DOIUrl":"10.1016/j.eiar.2025.107848","url":null,"abstract":"<div><div>The development of rooftop PV (RPV) plays a significant role in addressing the dual challenges of environmental air pollution and climate change, as RPV-generated electricity is an important substitute of traditional coal-fired power and can promote energy transition. Besides, RPV power generation, due to its self-consumption nature by the users, will not only reduce the local supply of coal-fired power, but also reduce the coal-fired power transmitted from other regions, ultimately leading to the spatial spillover effect of RPV environmental impact. Therefore, this study aims to examine the inter-provincial transmission of RPV environmental mitigation potential and economic benefits in China. Based on the revised rooftop vector data, we estimate that RPV deployment in the built-up and densely populated eastern region will reduce the emission of 45–161, 0.01–0.03 and 0.01–0.03 million tons (MT) yr<sup>−1</sup> for carbon, SO<sub>2</sub> and NOx in the western China, representing up to 15 %, 14 %, and 11 % of the western provinces' emission from the power and heat sector in 2020, respectively. Correspondingly, the environmental benefits of emission reduction in eastern region show obvious spillover effect (16 %), which lead to additional net benefits of 667–996 billion yuan for the western provinces. Integrating the environmental benefits as a subsidy into power benefits reveals that this type of subsidy yields higher benefits than current policies. Therefore, we provide valuable insights into targeted RPV deployment, promoting environmental efficiency and economic benefits. This new perspective on the spatial spillover effects of renewable energy can also be applied to other countries.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107848"},"PeriodicalIF":9.8,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143241687","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}

引用次数: 0

Understanding fly-tipping in urban areas: A social-economic-spatial combinatorial approach enabled by geographically weighted random forest

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-07 DOI: 10.1016/j.eiar.2025.107858

Weisheng Lu, Bing Yang, Liang Yuan, Ziyu Peng

This study addresses the ongoing challenge of illegal dumping (‘fly-tipping’) in urban environments, specifically focusing on Hong Kong. Utilizing a substantial dataset of 1384 Fixed Penalty Notices issued from 2014 to 2021, the research presents a novel methodological approach that integrates Space Syntax Analysis (SSA) and Geographically Weighted Random Forest (GW-RF). The integration demonstrates robust predictive performance (R² = 0.809), significantly outperforming traditional models. Our findings reveal three fundamental patterns: social-economic pressures serve as consistent underlying drivers, urban spatial configuration creates distinct opportunity patterns, and waste disposal infrastructure acts as a local modifier of dumping behavior. These insights challenge conventional assumptions about illegal dumping locations and effectiveness of uniform solutions. The study provides an evidence-based foundation for developing targeted interventions, suggesting that effective policies must consider both stable social-economic pressures and variable spatial-infrastructural conditions. This research not only deepens the understanding of fly-tipping in Hong Kong but also proposes a robust, adaptable analytical framework for other urban contexts, contributing to both urban theory and practice in environmental management.

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引用次数: 0

Research on carbon intensity of global seaborne metallurgical coal exports and implications

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-06 DOI: 10.1016/j.eiar.2025.107854

Liwei Qu , Yang Li , Juan Guo , Lianghui Li , Bochao An

Despite escalating environmental regulations and intensifying decarbonization demand within the steel industry, comprehensive frameworks for emission disclosure remain under development. The sector is gradually incorporating requirements to report upstream emissions that are tied to raw material supply chains. This study presented a detailed carbon footprint assessment of seaborne metallurgical (met) coal trading by creating a global database of seaborne met coal export mines and optimizing both the trade matrix and mine-to-destination transportation network. Employing a bottom-up approach coupled with life cycle assessment (LCA) methodology, this study calculated carbon intensity (CI) of global seaborne met coal mines. The analysis reveals significant variability in CI, ranging from 63.4 to 665.5 kg CO₂eq/t, with a global volume-weighted average of 217.6 kg CO₂eq/t. The variability is influenced by factors including mine extraction methods, raw coal quality, transportation mode, and destination distance. The heterogeneity of CIs highlights substantial decarbonization potential. Forecasts of seaborne met coal demand through 2050 suggest that prioritizing low-carbon supply chain pathways alone could yield CO₂eq reduction by an average of up to 230Mt, even in the absence of additional emission mitigation strategies

{"title":"Research on carbon intensity of global seaborne metallurgical coal exports and implications","authors":"Liwei Qu , Yang Li , Juan Guo , Lianghui Li , Bochao An","doi":"10.1016/j.eiar.2025.107854","DOIUrl":"10.1016/j.eiar.2025.107854","url":null,"abstract":"<div><div>Despite escalating environmental regulations and intensifying decarbonization demand within the steel industry, comprehensive frameworks for emission disclosure remain under development. The sector is gradually incorporating requirements to report upstream emissions that are tied to raw material supply chains. This study presented a detailed carbon footprint assessment of seaborne metallurgical (met) coal trading by creating a global database of seaborne met coal export mines and optimizing both the trade matrix and mine-to-destination transportation network. Employing a bottom-up approach coupled with life cycle assessment (LCA) methodology, this study calculated carbon intensity (CI) of global seaborne met coal mines. The analysis reveals significant variability in CI, ranging from 63.4 to 665.5 kg CO<sub>2</sub>eq/t, with a global volume-weighted average of 217.6 kg CO<sub>2</sub>eq/t. The variability is influenced by factors including mine extraction methods, raw coal quality, transportation mode, and destination distance. The heterogeneity of CIs highlights substantial decarbonization potential. Forecasts of seaborne met coal demand through 2050 suggest that prioritizing low-carbon supply chain pathways alone could yield CO<sub>2</sub>eq reduction by an average of up to 230Mt, even in the absence of additional emission mitigation strategies</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107854"},"PeriodicalIF":9.8,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143241686","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}

引用次数: 0

How government expenditure reduces energy poverty? Evidence from spatial quantile model

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-04 DOI: 10.1016/j.eiar.2025.107851

Bin Xu

Government expenditure is the core measure of maintaining the welfare of the general public, especially low-income families. Therefore, to investigate the potential effect of government expenditure on energy poverty reduction, this paper first calculates the energy poverty index of 30 provinces in China, and then explore how government expenditure mitigates energy poverty. The estimation results of the spatial quantile model show that: (1) there exists a positive spatial autocorrelation in energy poverty, indicating that energy poor areas are often contiguous, such as Guizhou-Yunnan, and Qinghai-Gansu-Shanxi. (2) Government expenditure has a negative effect on energy poverty across all quantile provinces, meaning that government expenditure is advantageous for alleviating energy poverty. (3) Heterogeneity analysis reveals that both educational expenditure and resource exploration expenditure contribute to the alleviation of energy poverty. However, the impact of social security expenditure on poverty reduction is limited. (4) The mediating role of green technology innovation and green finance is prominent. Specifically, green technology innovation has a positive impact on energy poverty reduction in all quantile groups, while green finance only has a prominent effect on the provinces with lower energy poverty. Following the above results, this article proposes relevant policies to optimize government expenditure structure and reduce energy poverty.

{"title":"How government expenditure reduces energy poverty? Evidence from spatial quantile model","authors":"Bin Xu","doi":"10.1016/j.eiar.2025.107851","DOIUrl":"10.1016/j.eiar.2025.107851","url":null,"abstract":"<div><div>Government expenditure is the core measure of maintaining the welfare of the general public, especially low-income families. Therefore, to investigate the potential effect of government expenditure on energy poverty reduction, this paper first calculates the energy poverty index of 30 provinces in China, and then explore how government expenditure mitigates energy poverty. The estimation results of the spatial quantile model show that: (1) there exists a positive spatial autocorrelation in energy poverty, indicating that energy poor areas are often contiguous, such as Guizhou-Yunnan, and Qinghai-Gansu-Shanxi. (2) Government expenditure has a negative effect on energy poverty across all quantile provinces, meaning that government expenditure is advantageous for alleviating energy poverty. (3) Heterogeneity analysis reveals that both educational expenditure and resource exploration expenditure contribute to the alleviation of energy poverty. However, the impact of social security expenditure on poverty reduction is limited. (4) The mediating role of green technology innovation and green finance is prominent. Specifically, green technology innovation has a positive impact on energy poverty reduction in all quantile groups, while green finance only has a prominent effect on the provinces with lower energy poverty. Following the above results, this article proposes relevant policies to optimize government expenditure structure and reduce energy poverty.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"112 ","pages":"Article 107851"},"PeriodicalIF":9.8,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143132707","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}

引用次数: 0

Dynamic prediction of lifecycle carbon emissions in residential communities: Insights into the role of residential form

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-04 DOI: 10.1016/j.eiar.2025.107845

Shu Su , Jiahui Feng , Wei Wang , Yue Jin , Dan Chong

Low-carbon community development is essential to enhance the sustainability of cities and societies. Residential form plays an important role in the carbon emissions of communities. This study explores how residential form affects the life cycle carbon emissions of residential buildings with temporal variations. Four types of residential form indicators (layout, building height, spacing, and building orientation) were integrated to develop 81 residential community geometry models. Their operational energy was simulated using Rhino and Grasshopper software, and life cycle carbon emissions were calculated. Several dynamic factors over time, including climate change, building envelope aging, dynamic carbon emission factors, and recycling rate improvement, were incorporated into the calculation process. A residential community was taken as the case study to assess the relationship between residential form indicators and life cycle carbon emissions. The results showed that variations in residential form led to differences of up to 13.21 %. The total carbon emissions considering dynamic factors were 15.01 % averagely lower than the corresponding static values, underscoring the meaning of involving dynamic variations. This study provides a scientific basis for designing low-carbon communities and promoting sustainable urban development.

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引用次数: 0

Assessing technology's influence on cropland green production efficiency in the Yellow River basin, China

IF 9.8 1区社会学 Q1 ENVIRONMENTAL STUDIES

Environmental Impact Assessment Review

Pub Date : 2025-02-03 DOI: 10.1016/j.eiar.2025.107838

Chaoqing Chai , Ronghao Wen , Huadong Zhu , Yongheng He , Peixue Xing , Yuanyuan Li , Ying Sun , Zhenhao Liu , Haoyang Wang , Wenhao Niu , Weiwei Zheng , Guanghui Hou , Xiangbin Kong , Bangbang Zhang

Improved growth and closing gap of cropland green production efficiency (CGPE) are effective strategies to both enhance food production and reduce environmental risks by technology enhancement, particularly in ecologically fragile basins. This study develops a CGPE accounting framework that incorporates multi-dimensional environmental impacts, based on the crop full lifecycle management of cropland use. A unified assessment framework is proposed to examine the drivers influencing CGPE growth and gap from the perspective of the technology enhancement interface, specifically technical progress (TP) and diffusion (TD). Using a hybrid approach, this study integrates the three-stage super-efficiency input-output model, Malmquist–Luenberger index, Gini coefficient decomposition, and spatial Markov chain model to investigate which technology enhancement interface drives CGPE growth and gap in the Yellow River basin (YRB), across 707 counties. This study shows evidence that CGPE growth in the YRB from 2000 to 2022 at the county scale displayed a “U-shaped” trend with an elevated terminal point, which is primarily driven by TP; that the significant spatial heterogeneity in CGPE is observed, with a small regional gap in the lower reach but a notable imbalanced development in the upper-middle reaches despite the narrowing gap, mainly due to insufficient TP; and that there is a dynamic polarization tendency shifting from medium to low level and from medium high to the high level. Therefore, priority should be given to enhancing green production technology, promoting balanced technology diffusion, leveraging the role model of high-efficiency areas so as to concurrently achieve agricultural productivity and environmental sustainability.

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引用次数: 0