Resources Environment and Sustainability最新文献

{"title":"Key factors in developing controlled closed ecosystems for lunar missions","authors":"José María Ortega-Hernandez ,&nbsp;Dan Qiu ,&nbsp;Jorge Pla-García ,&nbsp;Zhang Yuanxun ,&nbsp;Jesús Martinez-Frias ,&nbsp;Xiao Long ,&nbsp;Eva Sanchez-Rodriguez ,&nbsp;Juan Hernandez-Narvaez ,&nbsp;Gengxin Xie ,&nbsp;Fernando Alberquilla","doi":"10.1016/j.resenv.2024.100160","DOIUrl":"10.1016/j.resenv.2024.100160","url":null,"abstract":"<div><p>The utilization of in-situ resources will be crucial for the survival of astronauts in space. Therefore, plants and crops will be important for humans in space as they serve as food, provide oxygen, and remove carbon dioxide, enhancing habitability. The aim of this research is to explore the growth of crops on celestial bodies prior to human arrival. The paper outlines the creation of a novel capsule by Green Moon Project (GMP) designed to meet essential criteria for monitoring and enhancing crop cultivation on the lunar terrain, tackling key obstacles such as self-propagation, fluctuating light patterns, water provision, and monitoring germination and growth stages. The Center of Space Exploration (hereafter COSE) managed to sprout the first seed on another celestial body during the Chang’e 4 mission on the Moon in January 2019. This achievement means an important step in space agriculture and widens the biological research of crops that will sustain future crewed missions and human bases in space. Space farming requires greater understanding if humans are to survive in space without constant contact from Earth and that is why GMP goals are aligned COSE’s. Therefore, GMP and COSE work in synergy to boost the research of space farming, future crops, habitability, and close controlled environmental systems. Due to the similarities between both projects, both teams decided to join efforts and cooperate in future space missions. To provide scientific support and technical solutions for future long-term crewed exploration missions, it is mandatory to conduct ground verification experiments of controllable extraterrestrial ecosystems.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100160"},"PeriodicalIF":0.0,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000136/pdfft?md5=5a94c0947452da427951eaa3da558572&pid=1-s2.0-S2666916124000136-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141026094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the effect of green finance on green development of China’s energy-intensive industry—A spatial econometric analysis","authors":"Jinxian Lin ,&nbsp;Ling Zhang ,&nbsp;Zhanfeng Dong","doi":"10.1016/j.resenv.2024.100159","DOIUrl":"https://doi.org/10.1016/j.resenv.2024.100159","url":null,"abstract":"<div><p>An indispensable part of the green revolution is the green development of the Energy-intensive Industry (EII), which is crucial for China to achieve its “double carbon” target. EII is one of the key sectors bound by the green finance policy, whose development level is susceptible to regional conditions. Therefore, this research constructs a spatial Durbin model using provincial panel data (2001-2019) to empirically examine the impact of green finance on EII’s green total factor productivity (GTFP). Evidence shows that green finance boosts EII’s GTFP significantly and there is a spatial spillover effect. Specifically, the results demonstrate that the spatial spillover effect’s regional heterogeneity is positive in the eastern, central and northeastern regions, and negative in the weatern region. Furthermore, there is a spatial inhibitory effect on two subindustries of EII, i.e., Manufacture of Non-metallic Mineral Products industry and Smelting and Pressing of Non-ferrous Metals industry, proving the spatial spillover effect’s sectoral heterogeneity for green finance. This research provides experimental evidence and policy suggestions for enhancing the promotion impact of green finance on EII’s GTFP.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100159"},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000124/pdfft?md5=7b675b5d56cd6ca2f091ab5e6f547cb5&pid=1-s2.0-S2666916124000124-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140951779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Occurrence of dissolved organic matter in storm-drain inlet sediments and its implication for urban stormwater infrastructure sustainability","authors":"Siping Niu ,&nbsp;Yun Jiang ,&nbsp;Hui Liu ,&nbsp;Ruiqi Wang ,&nbsp;Baiyu Cheng ,&nbsp;Yisong Cheng","doi":"10.1016/j.resenv.2024.100158","DOIUrl":"https://doi.org/10.1016/j.resenv.2024.100158","url":null,"abstract":"<div><p>In the context of climate change, the effective management of carbon in urban stormwater infrastructure (USI) become increasingly crucial. Research indicates that dissolved organic matter (DOM) plays a significant role in the carbon cycle within USI. However, there is a lack of comprehensive information regarding the occurrence of DOM in urban storm-drain inlet (SDI) sediments. This study was undertaken to examine the land use type-related distribution of DOM in SDI sediments, and then provide the suggestion for urban infrastructure sustainability. There are three findings: (1) The characteristics of DOM in SDI sediments, including content, hydrophilicity, molecular weight, and functional groups of aromatic rings, exhibited variation with land functional type; (2) Urban SDI DOM had low humification, and was primarily originated from autochthonous sources, with the proportion of humic-like components close to or exceeding 50%; and (3) SDI sediment DOM was likely to have different characteristics from road dust and stormwater due to microbial activities over dry season. Based on these findings, measures for urban stormwater infrastructure sustainability are proposed, including properly road sweeping, frequently SDI sediment dredging, decreasing in emission from industrial activities, promoting local educational practices, and limiting improper organic waste disposal. These results have implications for the management of stormwater-related carbon and provide valuable insights for the development of sustainable practices for urban ecosystems.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100158"},"PeriodicalIF":0.0,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000112/pdfft?md5=fb6888abf87dcc96111c744b67891a06&pid=1-s2.0-S2666916124000112-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140914396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can higher resource utilization be achieved in demersal fish supply chains? Status and challenges from Iceland and Norway","authors":"Andrea Viken Strand ,&nbsp;Shraddha Mehta ,&nbsp;Magnus Stoud Myhre ,&nbsp;Guðrún Ólafsdóttir ,&nbsp;Nina Maria Saviolidis","doi":"10.1016/j.resenv.2024.100157","DOIUrl":"10.1016/j.resenv.2024.100157","url":null,"abstract":"<div><p>Most of the harvested demersal fish from Norway and Iceland is from sustainable, but fully exploited fish stocks. Increasing the harvest is therefore not considered a feasible option to meet the future global demand of seafood. Simultaneously, there are significant amounts of under-utilized​ rest raw materials (RRM) during harvesting, such as heads, skins, viscera, as well as prevalent food loss and waste (FLW) in the demersal fish supply chains. In this work we reviewed literature and conducted interviews with industry representatives to identify drivers and causes for FLW, as well as information on data capturing and current regulations in Norway and Iceland governing demersal fisheries. Based on these findings we have created a conceptual model of the demersal fish supply chain based on material and information flows modelling technique (MIFMT). The findings of our review indicates that losses during harvest and retail are the highest while the processing stage has the least volume of losses. However, there is currently no national level data generated on a regular basis which is identified as an important knowledge gap in mapping amounts of FLW. Our findings show that regulatory interventions during catch and improved RRM traceability could enhance the utilization of RRM in demersal fish supply chains. Information sharing and collaboration between the fishing fleet, seafood processors and the marine ingredient sector would allow improved resource utilization through better management of supply and demand. Furthermore, development of technology for on-board processing and storage is identified as a potential area of improvement. Currently, Iceland has a higher rate of utilization in the demersal fish sector than Norway due to certain regulatory, economic, and institutional aspects.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100157"},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000100/pdfft?md5=daa6b500784d4e92d4dee015e33ba7f2&pid=1-s2.0-S2666916124000100-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140774948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reducing livestock quantities to avoid manure nitrogen surplus: would meat self-sufficiency be met in eastern regions of China?","authors":"Yang Li ,&nbsp;Zhigang Sun ,&nbsp;Xiangzheng Deng ,&nbsp;Francesco Accatino","doi":"10.1016/j.resenv.2024.100156","DOIUrl":"10.1016/j.resenv.2024.100156","url":null,"abstract":"<div><p>In building a sustainable food system, the management of livestock production should avoid nitrogen (N) surplus and ensure animal-sourced food self-sufficiency. Reducing livestock quantities in regions producing excess of animal-sourced food and livestock manure is an effective approach for mitigating manure N surplus. In this study, we considered the eastern regions of China as a case study to quantitatively analyze whether meat self-sufficiency could be met when reducing the livestock quantity to avoid manure N surplus. In addition to considering the baseline scenario, considering the current livestock quantity (scenario C), we defined three strategies corresponding to livestock reduction scenarios: taking meat self-sufficiency as a priority regardless of the manure balance (scenario TB); taking manure N surplus avoidance as a priority regardless of the meat balance (scenario MNB); and considering the most limiting conditions between satisfying meat self-sufficiency and avoiding manure N surplus (scenario LF). A balance index was used to describe the excess (<em>i.e.</em>, positive value) or deficiency (<em>i.e.</em>, negative value) of meat and manure N. Concerning the whole of eastern China, in scenario LF, the meat balance index (TBI) and manure N balance index (MNBI) were 0.25 and −0.39, respectively, which could satisfy meat demand while avoid manure N surplus (for scenarios C, TB, and MNB, the TBIs were 1.95, 0, and 1.09, and the MNBIs were 0.56, −0.48, and 0, respectively). At the regional level, the regions with meat self-sufficiency accounted for more than 70% in the LF scenario, and manure N surplus could be avoided in all regions. However, southwestern China should adopt further measures, such as trading among adjacent regions and increasing manure fertilizer application, to satisfy the meat demand while avoiding surplus manure N.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100156"},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000094/pdfft?md5=4e576555f0398ae636970aaf6f512fb2&pid=1-s2.0-S2666916124000094-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140769167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Variability of the declared recycled content by changing allocation methods: A case study on plastic waste recycling","authors":"Francesco Caraceni ,&nbsp;Elisabetta Abbate ,&nbsp;Carlo Brondi ,&nbsp;Martino Colonna ,&nbsp;Giovanni Dotelli ,&nbsp;Andrea Ballarino","doi":"10.1016/j.resenv.2024.100154","DOIUrl":"https://doi.org/10.1016/j.resenv.2024.100154","url":null,"abstract":"<div><p>The Chain of Custody (CoC) standard tracks the recycled content (RC) of products, in most cases using the Mass Balance model. This model freely allows the selection of allocation methods and timeframes for the RC evaluation. Our work opens a discussion on the potential effects of this freedom in the RC evaluation. Firstly, we defined the general model representing the viable allocation methods and timeframe, and secondly, we applied the model to a case study. The mass balance model simplifies the monitoring of RC and encourages companies to use recycled materials. However, we outline the need for actions on stricter RC calculation and reporting, for instance, by reducing the timeframe of mass balance calculation or promoting the controlled blending model, which guarantees the physical presence of RC in the product. The results provide a basis for policymakers to set requirements for RC evaluation.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100154"},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000070/pdfft?md5=4aeaffd866f6586bed9328cc6d71a00c&pid=1-s2.0-S2666916124000070-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140332427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the evolution of manganese flows and stocks in China from 2000 to 2021","authors":"Enyan Zhu ,&nbsp;Yong Geng ,&nbsp;Shijiang Xiao ,&nbsp;Tianjiao Guo ,&nbsp;Ziyan Gao ,&nbsp;Zhen Gao","doi":"10.1016/j.resenv.2024.100152","DOIUrl":"https://doi.org/10.1016/j.resenv.2024.100152","url":null,"abstract":"<div><p>Manganese is a strategic metal that has been widely applied in the steelmaking industry and the emerging energy batteries industry. China is the largest manganese importer and consumer, but the critical features of its manganese metabolisms, including its supply and demand, trade, and waste management, remain unclear. By applying dynamic material flow analysis (DMFA) method, this research investigates the evolution of China’s anthropogenic manganese flows and stocks during the period of 2000 to 2021. We found that the demand for manganese had increased almost tenfold in China from 2000 to 2021, mainly used for steelmaking, while the surging demand for manganese in energy batteries had gradually increased. However, China highly relied on importing manganese concentrates due to its limited manganese resources. The cumulative in-use manganese stocks also increased by tenfold and reached approximately 168 million tons (Mt). In addition, manganese flow from the end-of-life (EoL) final products reached 12 Mt in 2021, but few of them were recycled, implying a huge recycling potential. These findings provide valuable insights to prepare more appropriate manganese resource management policies, such as improving domestic mining technologies, enhancing manganese recycling, and diversifying the supply of manganese resources, so that the overall manganese resource efficiency can be improved.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100152"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000057/pdfft?md5=43e685aa6ea806855721bb018798a92a&pid=1-s2.0-S2666916124000057-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140024128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Taxonomy of design for deconstruction options to enable circular economy in buildings","authors":"Giulia Pristerà ,&nbsp;Davide Tonini ,&nbsp;Marco Lamperti Tornaghi ,&nbsp;Dario Caro ,&nbsp;Serenella Sala","doi":"10.1016/j.resenv.2024.100153","DOIUrl":"10.1016/j.resenv.2024.100153","url":null,"abstract":"<div><p>The construction sector, due to its significant environmental impacts, is a focus area for the promotion of a shift towards the circular economy within the EU. A spotlight has been cast on the necessity to reduce construction and demolition waste and prioritise reuse and high-quality recycling. This work centres on selective demolition and design for deconstruction (DfD) as means of achieving these goals. A literature review is carried out, with the two-fold aim of assessing the state of the art in life cycle assessment studies on this topic and developing a taxonomy of applicable selective demolition and DfD solutions, framing it within the context of policy development in the EU. Available measures are identified for different building structural typologies (concrete, timber, masonry, steel), at the material and element level, providing a comprehensive overview of current and developing technologies. A taxonomy is proposed to support users in the identification of available measures and to link the effects thereof in terms of circularity. A literature-based quantitative assessment of current and potential reuse material rates is provided, together with the greenhouse gases (GHG) emission savings associated with reuse, in order to describe the present situation and highlight the potential for improvement. Reuse potential is found to vary between 0%–80%, depending on material and source; current European reuse rates are estimated &lt;15%. In terms of C-footprint, reuse appears beneficial in most cases. The additional GHG savings from reuse relative to alternative end-of-life options span from 1.30 (gypsum) to 5464 (expanded polystyrene) kg CO_2-eq. per tonne of material managed.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"15 ","pages":"Article 100153"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000069/pdfft?md5=d974fd32e559238ecae5dd354d711bc2&pid=1-s2.0-S2666916124000069-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140271354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of prediction model for information technology equipment procurement as the basis of knowledge for an Intelligent Decision Support System based on carbon emissions and End-of-Life phase","authors":"Nur Ulfa Maulidevi ,&nbsp;Vhydie G. Christianto ,&nbsp;Erna Hikmawati ,&nbsp;Kridanto Surendro","doi":"10.1016/j.resenv.2024.100151","DOIUrl":"https://doi.org/10.1016/j.resenv.2024.100151","url":null,"abstract":"<div><p>The high quality of Information Technology (IT) equipment undoubtedly contributes to the seamless functioning of various industries in today’s digital era. As organizations strive to increase their IT equipment procurement, there is growing concern about its negative environmental impact. This increased environmental consciousness has made it crucial to adopt a sustainable approach to IT equipment procurement that considers factors such as carbon emissions and End-of-Life (EOL) cycle of equipment. Therefore, this research developed a prediction model for IT equipment procurement as the basis of knowledge for an Intelligent Decision Support System based on carbon emissions and EOL phase. The primary aim of this study is to develop a prediction model for IT equipment procurement that allows for the estimation of carbon emissions associated with the equipment. Several models, including K-Nearest Neighbors, Decision Tree, Polynomial Regression, Autoregressive Integrated Moving Average applied to historical procurement data, and Long Short-Term Memory, were tested to determine the most effective. The developed model has proven successful in predicting IT equipment procurement for future periods, achieving an impressive R-squared score of 0.80. This high accuracy demonstrates the model’s effectiveness in assisting organizations to make well-informed and sustainable decisions regarding IT equipment procurement based on precise predictions and estimated environmental impacts. The developed prediction model is expected to optimize the procurement process by considering environmental aspects like carbon emissions and equipment lifecycle.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100151"},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000045/pdfft?md5=1d025b3cbe96b0a3167ef6d1a7730513&pid=1-s2.0-S2666916124000045-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139732559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prioritizing urban green spaces in resource constrained scenarios","authors":"Mihir Rambhia ,&nbsp;Rebekka Volk ,&nbsp;Behzad Rismanchi ,&nbsp;Stephan Winter ,&nbsp;Frank Schultmann","doi":"10.1016/j.resenv.2024.100150","DOIUrl":"https://doi.org/10.1016/j.resenv.2024.100150","url":null,"abstract":"<div><p>Urban Green Space management requires a multi-dimensional, evidence-based approach to effectively balance social, environmental, and economic objectives. City administrators currently lack a data-driven framework for allocating resources during constraint scenarios, leading to subjective decisions. Existing literature lacks objective solutions for managing city-scale green spaces, each with its distinct characteristics. Another challenge is handling varied spatial scales required for urban applications. This study proposes a novel goal programming-based model for urban green space management wherein multiple benefit objectives, such as conserving sequestered carbon in trees and enhancing quality and accessibility of parks, as well as handling demand constraints on available resources like water and personnel, are included. The proposed method was demonstrated in two cities with diverse conditions, Berlin and Melbourne, and evaluated on various benefit metrics, such as allocated green space units, resources consumed, and goals achieved. The model was analyzed with resource allocation decisions and goals at different spatial scales. The highest benefit achievement and resource allocation were observed when resources were allocated at the sub-district scale with a city-level target. Alternatively, setting targets at the district level provided a more even resource distribution; however, at the cost of reduced overall benefits. Results show that the proposed method increased the total benefits gained while effectively balancing conflicting goals and constraints. Additionally, it allows incorporating the city’s preferences and priorities, offering a scalable solution for informed decision-making in varied urban applications. Depending on data availability, this approach can be scaled to other cities, including additional benefits and resource constraints as required.</p></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"16 ","pages":"Article 100150"},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666916124000033/pdfft?md5=e3d058081785bd2c2942cea4e8fc1a33&pid=1-s2.0-S2666916124000033-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139718727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}