Journal of Cleaner Production最新文献

{"title":"Optimising agri-food supply chains: Managing food waste through harvest and side-stream valorisation","authors":"Marloes Remijnse, Sonja U.K. Rohmer, Ahmadreza Marandi, Tom Van Woensel","doi":"10.1016/j.jclepro.2025.145349","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145349","url":null,"abstract":"The importance of reuse and valorisation as a means to enhance sustainable production practices, by reducing waste streams through the recovery of resources in the chain, is increasingly recognised. Confronted with new challenges in the context of climate change, the food and agricultural sector stands to benefit, in particular, from valorising (edible) side streams, such as unharvested crop parts and vegetable peels, that are often overlooked by consumers. Focusing on side-stream valorisation strategies within food processing facilities, this research develops a mixed-integer optimisation model to support decision-makers in determining an optimal product portfolio and processing configuration. This model is solved for two key performance indicators, considering both the economic and the environmental impact, in the form of total profit and exergy loss. Examining potential trade-offs between the two objectives, we present a real-life case study from a carrot processing company. We explore several scenarios and case settings to investigate the impact of various factors on the potential of side-stream valorisation. The findings from our analysis demonstrate that side-stream valorisation seems to be generally well aligned with profit maximisation, while it is not always beneficial from an environmental impact perspective.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"36 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application to smart multi-energy system for supply-demand side management of a building based on power-to-gas-to-power concept: Technical, environmental, and economic assessment","authors":"Amir Ebrahimi-Moghadam, Majid Kheir Abadi, Nima Jafarian Yazdi, Mohammad Sheykhi, Mohammadsadegh Pahlavanzadeh","doi":"10.1016/j.jclepro.2025.145393","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145393","url":null,"abstract":"Utilizing new concepts for the production and conversion of energy carriers leads to progress in reaching carbon neutrality targets. Green energy-integrated systems exposed to attention of energy scientists in recent years. In this study, a smart multi-energy system is proposed based on the hybrid utilization of solar and wind resources for producing green hydrogen. The produced green hydrogen is then blended with natural gas and used as an enviro-friendly fuel for internal combustion engine. Afterward, the heating potential of engine’s exhaust and jacket water are recovered to run some equipment for producing extra power, heat, and cold. A powerful techno-economic and environmental framework is developed in EES software to assess the feasibility of the proposed system. Also, to make the modeling even more accurate, the engine is simulated in GT-Power software and its outputs are linked with EES. Furthermore, to make the proposal applicable, a case study hotel building is considered and system’s effectiveness is demonstrated. The building is simulated with a full-detailed model and sustainable architectural elements are also considered in the simulation (green wall and photovoltaic facade). The analyses are done for three models (Model 1: 5 vol.% hydrogen blended into NG, Model 2: 10 vol.% hydrogen blended into NG, Model 3: 100% NG). Analyzing the system illustrated that R123 is identified as the most efficient fluid for ORC with energy and exergy efficiencies of 18.03% and 26.58%, respectively. Also, dynamic modeling results indicated that hybrid utilization of solar/wind ensures a reliable and consistent supply of clean energy, significantly reducing reliance on fossil fuels. So that, 7.05 ton/year of CO₂ emission is prevented by the hydrogen blending (in models 1 and 2) compared to the case where only methane is used as fuel. The payback period of the proposal, based on the discounted NPV approach, is obtained as 4.2 years proving its feasibility.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"18 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond the Buzz: Unravelling the Barriers and Drivers of Electric Car Adoption in India - A Qualitative Study","authors":"Divya Singh, Ujjwal Kanti Paul","doi":"10.1016/j.jclepro.2025.145344","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145344","url":null,"abstract":"The adoption of electric cars (ECs) is a potential alternative to internal combustion engine (ICE) cars in pursuit of a sustainable and environment-friendly future. However, the transition to electric mobility is inconsistent due to several challenges that impede the global adoption of EC. There is a tremendous chance of transformation in a developing country like India, where air pollution and escalating energy demands. The main objective of this qualitative study is to explore and identify the critical barriers and drivers <strong>of</strong> EC adoption in India. Twenty-seven in-depth interviews were conducted to gain insights into the Indian mindset and what they perceive and feel about the ECs. The four themes diverged by incorporating the ‘grounded theory’ approach: acceptability, affordability, accessibility, and awareness. This paper shows the importance of understanding the confluence of the marketing mix regarding EC adoption as it delves beyond a surface-level analysis. By examining the stature of EC adoption from a consumer perspective, the study provides insightful implications for automakers, policymakers, academicians, and all stakeholders who seek to advocate the broad usage of EC in India. The key findings reveal significant barriers and drivers under each identified theme influencing consumer behavior, including concerns about charging infrastructure, anxiety, and risk associated with this innovation, as well as the hefty acquisition cost of ECs and low level of awareness. While positive perceptions regarding the environmental benefits of these vehicles exist, trust-building in the technology remains crucial for widespread EC adoption.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"101 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional Disparities in Africa’s Renewable Energy Transition: Patterns and Drivers","authors":"Mark Awe Tachega, Yanjiao Chen, Junjian Wang, Pei Yang","doi":"10.1016/j.jclepro.2025.145396","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145396","url":null,"abstract":"&lt;h2&gt;Section snippets&lt;/h2&gt;&lt;section&gt;&lt;section&gt;&lt;h2&gt;Stylized Facts about Renewable Energy Consumption in Africa&lt;/h2&gt;The renewable energy consumption trends reveal significant patterns within Africa's renewable energy sector. Per capita renewable energy generation across Africa has grown substantially, increasing from 50 kWh-equivalent to nearly 400 kWh-equivalent (Figure 1). Despite this eight-fold increase, renewable energy consumption per capita remains notably low by global standards (Espoir et al., 2023). This relatively modest growth can be attributed to multiple factors, including rapid population&lt;/section&gt;&lt;/section&gt;&lt;section&gt;&lt;section&gt;&lt;h2&gt;Literature Review&lt;/h2&gt;This literature review synthesizes key findings from various studies to expound the dynamics associated with renewable energy consumption across different African regions.&lt;/section&gt;&lt;/section&gt;&lt;section&gt;&lt;section&gt;&lt;h2&gt;Data and Methodology&lt;/h2&gt;This study utilizes panel data on renewable energy consumption and its potential drivers across five regions of Africa for the period 2000–2020 (Figure 7). The classification of African countries by region is shown in Appendix Table A 1. The data was obtained from the African Development Bank (African Development Bank Group, 2024) and World Bank databases (World Bank, 2024). Table 1 presents an overview of the analytical variables. The panel structure of the dataset, with regions representing&lt;/section&gt;&lt;/section&gt;&lt;section&gt;&lt;section&gt;&lt;section&gt;&lt;h2&gt;Growth Trends in Renewable Energy Consumption&lt;/h2&gt;Figure 8 illustrates the annual percentage change in renewable energy consumption from 2000 to 2020, providing insights into dynamic growth trends across Africa’s five regions. The figure highlights substantial year-on-year variations, reflecting the influence of diverse regional policies, resource availability, and infrastructure development on renewable energy adoption. These fluctuations underscore the complex interplay of factors driving renewable energy growth across the continent. Central&lt;/section&gt;&lt;/section&gt;&lt;/section&gt;&lt;section&gt;&lt;section&gt;&lt;h2&gt;Conclusion and Recommendations&lt;/h2&gt;The growing urgency to transition to renewable energy, alongside Africa's vast potential for clean energy production, underscores the critical need to address inequalities in renewable energy consumption across the continent. This study provides an in-depth analysis of these disparities across five African regions—Central, East, North, Southern, and West Africa—using World Bank and African Development Bank (AfDB) data from 2000 to 2020. This research comprehensively examines the regional&lt;/section&gt;&lt;/section&gt;&lt;section&gt;&lt;section&gt;&lt;h2&gt;Uncited reference&lt;/h2&gt;Africa Renewable Energy Initiative, 2022; UN Economic Commission for Africa, 2022; World Bank, 2021.&lt;/section&gt;&lt;/section&gt;&lt;section&gt;&lt;section&gt;&lt;h2&gt;Data availability&lt;/h2&gt;The data supporting the findings of this study are available publicly via the links provided within the manuscript.&lt;/section&gt;&lt;/section&gt;&lt;section&gt;&lt;section&gt;&lt;h2&gt;Funding&lt;/h2&gt;The authors received","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"101 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technological pathway exploration for simultaneous water conservation and carbon reduction for the titanium dioxide manufacturing plant in China","authors":"Yonghao Tan, Yuehong Zhao, Yongbing Xie, Xinhong Chen, Jianbo Zhang, Kui Wang, Hongbin Cao","doi":"10.1016/j.jclepro.2025.145400","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145400","url":null,"abstract":"With the increasing global concerns on climate change and water scarcity, titanium dioxide manufacturing plants (TDMP) are facing the challenge of simultaneous water conservation and carbon reduction (SWCCR) in water networks with controllable comprehensive water-use costs. Such complex multi-objective optimization problems are usually studied in steel and petrochemical industries or in the macro region, but very few studies have been devoted to TDMP in the past decade. This paper proposes a novel multi-scale and multi-objective optimization model for the water-carbon-economy nexus specific to TDMP, accompanied by an effective solution methodology. The model was designed to explore the interaction between water conservation and carbon reduction under the condition of keeping controllable comprehensive water-use costs and to find the optimal technological pathway for industrial practice. Then a typical TDMP adopting the sulfuric acid technology was selected as the case study. The findings reveal that the plant can achieve SWCCR by integrating different technological measures to formulate the optimal technological pathway. When the plant put equal weight on water conservation and carbon reduction, the water consumption and carbon emissions were reduced by 8.48% and 21.11% respectively, with a 3.06% increase in comprehensive water-use cost per ton of product (813.55 RMB). Additionally, long-term projections of the optimal technological pathway toward the Carbon Neutrality goal were explored, highlighting the progressive augmentation of reclaimed water utilization. This study pioneers in filling the research gap on SWCCR in water networks with controllable comprehensive water-use costs for TDMP and offers valuable insights, thereby facilitating a greener and low-carbon transformation.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"27 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supply chain carbon finance indexing with generative AI and advanced data analytics techniques","authors":"Pratyush Kumar Patro ,&nbsp;Enoch Quaye ,&nbsp;Adolf Acquaye ,&nbsp;Raja Jayaraman ,&nbsp;Khaled Salah","doi":"10.1016/j.jclepro.2025.145387","DOIUrl":"10.1016/j.jclepro.2025.145387","url":null,"abstract":"<div><div>Supply chain carbon finance plays a key role in providing financial incentives, supporting green projects, and promoting decarbonization of supply chains. Progress monitoring of such efforts requires robust indices that track carbon-intensive supply chain operations and assess carbon finance readiness. Current index generation methods use qualitative and optimization models such as AHP, DEA, etc., which introduce biases and overlook model variability and complexity, thereby affecting index reliability. Utilizing advanced Generative Adversarial Networks (GANs) and Principal Component Analysis (PCA), the main goal is to robust supply chain carbon finance index to assess the readiness of countries for carbon financing. Hierarchical cluster analysis is used to group countries, providing better insights for strategic decision-making. The results indicate that China, USA, UK, and India collectively accounting for over 50% of carbon finance needs. This study assesses each country's carbon finance readiness and identifies clusters of countries with similar readiness levels for targeted policy recommendations and tailored interventions. We propose a novel Carbon Finance Contribution Mechanism to decarbonise supply chains and equitably distribute the financial responsibility of emissions reductions between producing and consuming countries. The paper also highlights research opportunities in generative AI and machine learning for creating similar indices in supply chain domains.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"502 ","pages":"Article 145387"},"PeriodicalIF":9.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning-driven reconstruction of PM2.5 vertical profiles: A fusion of lidar and tower data","authors":"Zihuai Yi ,&nbsp;Yan Xiang ,&nbsp;Long Yun ,&nbsp;Xi Mu ,&nbsp;Zhenyi Chen ,&nbsp;Yuanzhu Dong ,&nbsp;Feilong Li ,&nbsp;Yin Pan ,&nbsp;Lihui Lv ,&nbsp;Tianshu Zhang ,&nbsp;Wenqing Liu","doi":"10.1016/j.jclepro.2025.145397","DOIUrl":"10.1016/j.jclepro.2025.145397","url":null,"abstract":"<div><div>Understanding the vertical distribution of fine particulate matter (PM_2.5) is essential for developing effective air pollution management and control strategies. To thoroughly investigate and capture the spatio-temporal evolution patterns of PM_2.5, this study has developed a deep-learning-based reconstruction algorithm for estimating its vertical concentration distribution, leveraging the fusion of lidar observations and tower-based monitoring experiments. The results reveal that although multiple machine learning techniques can effectively estimate the concentration of PM_2.5, the Convolutional Neural Network and Bidirectional Long Short-Term Memory (CNN-BiLSTM) model exhibited the best estimation effect, achieving an R² value of 0.98. Building upon this model, the study further discusses the seasonal and daily variation characteristics of PM_2.5. The vertical distribution analysis shows that the high PM_2.5 concentrations are primarily clustered below 1000 m. Further composite analysis illustrates a significant positive correlation between PM_2.5 and ozone (O₃), another significant pollutant in composite pollution, at altitudes ranging from 200 to 3000 m, likely due to shared sources and mutual interactions. However, specific seasonal and altitudinal patterns emerge, such as a negative correlation observed between 1200 and 1800 m in autumn and 800 and 1200 m in winter. This phenomenon may be attributed to a threshold effect, indicating that low concentrations of PM_2.5 do not necessarily induce significant changes in O₃ concentration. This study provides crucial insights into the vertical monitoring for PM_2.5 and offers new perspectives on the complex interaction mechanism between PM_2.5 and O₃ within the context of composite pollution.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"502 ","pages":"Article 145397"},"PeriodicalIF":9.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring spatiotemporal coupling effects between built environment and ecosystem health: Toward static–dynamic sustainable management in waterfront cities","authors":"Suwen Xiong, Fan Yang, Chuntian Gu","doi":"10.1016/j.jclepro.2025.145389","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145389","url":null,"abstract":"Driven by the exploitation of aquatic ecological resources, waterfront cities’ built environment (BE) has gradually undermined ecosystem health (EH). Although research on BE and EH is relatively mature, their spatiotemporal interactions across different water gradients remain underexplored. Furthermore, existing ecological management zoning relies on static analyses and overlooks the impact of dynamic changes on sustainable development. In this study, we constructed a BE-EH interaction framework for waterfront cities by integrating BE’s “density, diversity, design, destination accessibility, distance-to-transit” (5D) model and EH’s “vigor, organization, resilience, service” (V-O-R-S) model. Using a coupling coordination degree (CCD) model and GeoDetector, we identified spatiotemporal coupling effects between BE and EH. Finally, we proposed an integrated sustainable zoning management mechanism that combines a four-quadrant static model with CCD dynamic change rate indices. Using Changsha, a typical waterfront city in China, as a case study, the results revealed a mutually exclusive spatiotemporal evolution trend between BE and EH. The CCD in these prosperous BE waterfront areas was substantially higher than those in high-quality EH inland areas. The siphoning effect of the central urban area has resulted in the expansion of the CCD toward suburban regions. Mixed land use and diverse urban functions have strongly influenced the BE-EH’s CCD by improving land resource efficiency. Interactions among BE elements have amplified their influence on the CCD. As urbanization has progressed, the CCD in inland gradients has become more influenced by BE, whereas the explanatory power of factors in near-water gradients has gradually decreased. Sustainable management zoning of BE and EH has revealed significant spatiotemporal heterogeneity. Sustainable development excellence zones should maintain their advantages. Sustainable potential transformation zones should promote green economic and ecological transitions. Waterfront sustainable development conflict zones should curb excessive urbanization. Unsustainable development crisis zones should achieve synergy among spatial functions. This study proposes an innovative integrated static–dynamic management framework for BE-EH interactions in waterfront cities, expanding the theoretical system of urban ecological management. The findings offer a novel interdisciplinary perspective and methodological reference for future urban planning and ecological conservation research.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"36 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143723978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental and economic dimensions of material recycling and energy efficiency in the European Union","authors":"Gizem UZUNER, Andrew Adewale ALOLA, Sinan ERDOGAN","doi":"10.1016/j.jclepro.2025.145381","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.145381","url":null,"abstract":"The current use rate of recycled material in the European Union (EU), at 11.5 percent in 2022, arguably undermines the bloc’s 2030 target of reaching twice the recycled material use rate between 2020 and 2030. Given the current scenario, this investigation attempts to corroborate whether material circularity improve environmental quality without compromising economic performance. Due to its ability to provide robust inferences, a two-step dynamic system generalized method of moments (GMM) was employed for the dataset spanning 2010 to 2022. Other indicators were also incorporated into the analysis through two distinct models. Foremost, the finding shows that material circularity and primary energy consumption mitigate per capita carbon emission while income level and energy efficiency show detrimental effect on environmental quality. For economic dimension, both material circularity and energy efficiency hamper income level but income level improves with increase in total primary energy consumption and urbanization. Importantly, although the use rate of recycled material improves environmental quality and hampers income level, the elasticities are small in magnitude. However, this observation provides important insight on the need to drive the economic dividend of material circularity as much as its environmental benefits.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"27 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143713413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the ecological impacts of high-speed rail on urban avian biodiversity","authors":"Jie Xie ,&nbsp;Mingying Zhu","doi":"10.1016/j.jclepro.2025.145351","DOIUrl":"10.1016/j.jclepro.2025.145351","url":null,"abstract":"<div><div>This paper examines the ecological impact of high-speed rail (HSR) on urban avian biodiversity in China, using data on cumulative bird species richness from the Global Biodiversity Information Facility. Our research sample consists of 297 cities at the prefecture level in China from 2001 to 2019. We analyze the annual increase in bird species relative to the country as the main dependent variable. The staggered difference-in-difference estimates reveal a significant decline in the attraction of new bird species following HSR opening, particularly in the eastern region and populous cities. Negative ecological effects are most prominent during the construction phase, but diminish as HSR services commence. Our study holds implications for urban planning, as it provides valuable insights into the ecological effects of HSR, aiding in the preservation of biodiversity during transportation planning.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"502 ","pages":"Article 145351"},"PeriodicalIF":9.7,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143723593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}