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Search Results (1,131)

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21 pages, 339 KiB  
Article
A Comparison of Green Policy Ambitions by Examining Slovak and Hungarian Small Enterprises
by János Varga, Ágnes Csiszárik-Kocsir and Mónika Garai-Fodor
Adm. Sci. 2024, 14(10), 264; https://doi.org/10.3390/admsci14100264 - 17 Oct 2024
Abstract
Climate change is a problem for all of us and must be tackled as a priority, not just as the responsibility of national economic policies. It has not only environmental but also economic and social consequences. Climate change can change people’s daily lives, [...] Read more.
Climate change is a problem for all of us and must be tackled as a priority, not just as the responsibility of national economic policies. It has not only environmental but also economic and social consequences. Climate change can change people’s daily lives, strongly affecting their health and mood. It will reshape the way the economy works, affect the way we use our resources, and impact on the state of our environmental assets. Emissions are one of the most important causes of global warming and are largely responsible for adverse changes in the ecosystem. Many businesses will need to fundamentally transform their operations to become climate neutral. Entire sectors will have to innovate and abandon current (polluting) solutions in order to allow businesses to do business in new and greener ways. This requires money, skills, knowledge, innovation and of course, leadership commitment. This paper sets out to examine the business case for greening. The study focuses on the behavior of enterprises and draws conclusions on environmental awareness by comparing two countries. The paper presents the results of quantitative primary research on a Hungarian and a Slovak sample, using a pre-tested standardized questionnaire survey. We analyzed responses from 427 enterprises in the Hungarian sample and 181 in the Slovak sample. The results show which enterprises in each country can be relied on most to implement sustainable, green policies and what the main challenges are in terms of promoting more sustainable behavior among enterprises in the two countries under study. Full article
(This article belongs to the Special Issue Dialogue between Tourism and Well-Being)
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<p>Opinions on the primary objective of the European Green Agreement among the Hungarian sample (%).</p>
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19 pages, 1154 KiB  
Article
Biochemical Parameters of Fallow Light Soil Enriched with Sewage Sludge
by Grażyna Żukowska, Barbara Futa and Magdalena Myszura-Dymek
Agriculture 2024, 14(10), 1810; https://doi.org/10.3390/agriculture14101810 - 14 Oct 2024
Viewed by 397
Abstract
One way to manage sewage sludge, which is consistent with the assumptions of the European Green Deal, is to use it in agriculture. The study focused on the possibility of using soil enzyme activity and the GMea index (the geometric mean of enzyme [...] Read more.
One way to manage sewage sludge, which is consistent with the assumptions of the European Green Deal, is to use it in agriculture. The study focused on the possibility of using soil enzyme activity and the GMea index (the geometric mean of enzyme activities) in connection with the total organic carbon (TOC) and the total nitrogen (TN) content to assess the quality of fallow light soil after exogenous organic matter (EOM) fertilization. Exogenous organic matter in the form of stabilized municipal sewage sludge was introduced into the soil. The experiment included five variants: one control site and four sites with 30, 75, 150, and 300 Mg ha−1 of sewage sludge added to the soil. The contents of TOC, TN and heavy metals (Zn, Cu, Pb, Cd) in the soil material were assayed. In addition, the activity of soil enzymes, i.e., neutral phosphatase, urease, protease and dehydrogenase, was examined, and the geometric mean of the enzyme activities (GMea index) was calculated. Fertilization of light soil with sewage sludge resulted in an increase in TOC and TN proportionally to the EOM dose. The addition of sewage sludge increased the content of tested heavy metals in the soil and did not exceed the levels considered acceptable. The introduction of sewage sludge contributed to the stimulation of biological life in the soil. This was evidenced by an intensification of soil enzyme activity. However, individual enzymes showed a different response to EOM fertilization, while GMea showed a significant increase in the quality of the fallowed soils as the EOM rate increased to 150 Mg ha−1. Full article
(This article belongs to the Section Agricultural Soils)
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<p>Box and whiskers plot: (<b>a</b>) average Zn content for the variant, (<b>b</b>) average Zn content for the term, (<b>c</b>) average Pb content for the variant, (<b>d</b>) average Pb content for the term, (<b>e</b>) average Cd content for the variant, (<b>f</b>) average Cd content for the term, (<b>g</b>) average Cu content for the variant, (<b>h</b>) average Cu content for the term. A–D—different uppercase letters indicate significant differences for the research term; a–e—different lowercase letters indicate significant differences in the dose of sewage sludge.</p>
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<p>Box and whiskers plot: (<b>a</b>) average Zn content for the variant, (<b>b</b>) average Zn content for the term, (<b>c</b>) average Pb content for the variant, (<b>d</b>) average Pb content for the term, (<b>e</b>) average Cd content for the variant, (<b>f</b>) average Cd content for the term, (<b>g</b>) average Cu content for the variant, (<b>h</b>) average Cu content for the term. A–D—different uppercase letters indicate significant differences for the research term; a–e—different lowercase letters indicate significant differences in the dose of sewage sludge.</p>
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<p>Biplot—combination of bivariate factor plot for EOM doses as cases (S0, S30, S150, S300) with bivariate factor plot for variables such as TOC, TN, C/N, Zn, Cu, Pb, Cd, Aph, AU, APr, ADh, GMea.</p>
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27 pages, 16569 KiB  
Article
A System Dynamics Supply Chain Analysis for the Sustainability Transition of European Rolled Aluminum Products
by Masoud Khakdaman, Wout Dullaert, Dirk Inghels, Marieke van Keeken and Pascal Wissink
Sustainability 2024, 16(20), 8892; https://doi.org/10.3390/su16208892 - 14 Oct 2024
Viewed by 556
Abstract
This research presents a system dynamics model to study the interaction among demand and supply evolutions, government regulations, sustainable adoption trends, investments in different decarbonization technologies, and environmental requirements for the European Aluminum Rolled Product Supply Chain (ARPSC). It allows stakeholders to assess [...] Read more.
This research presents a system dynamics model to study the interaction among demand and supply evolutions, government regulations, sustainable adoption trends, investments in different decarbonization technologies, and environmental requirements for the European Aluminum Rolled Product Supply Chain (ARPSC). It allows stakeholders to assess the quantitative impact of investing in decarbonization technologies on supply chain sustainability. Investing in decarbonization technologies reduces greenhouse gas (GHG) emissions. The most substantial GHG emission reductions can be achieved if upstream ARPSC actors invest according to an aggressive investment strategy between 2031 and 2040. However, even with an aggressive investment strategy, investing in decarbonization technologies alone is likely to be insufficient to achieve the European Green Deal goals. Furthermore, barriers to investment in decarbonization technologies and a low rate of progress in doubling the European Union’s circularity rate may put extra stress on achieving the European Green Deal goals for the European ARPSC. Instead, ARPSC actors will additionally need to optimize the recycling of aluminum rolled products and adopt strategies for resource sufficiency, e.g., by sharing cars and using packaging multiple times. Full article
(This article belongs to the Special Issue Sustainable Operations, Logistics and Supply Chain Management)
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<p>System boundary of the European ARPSC SD model. The arrows indicate the influence of one domain on another. The variables outside the blue lines are considered exogenous to the system.</p>
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<p>Causal loop diagram (CLD) of the proposed SD model.</p>
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<p>Evolution of European aluminum demand for Building and Construction, Packaging, Automotive Industry and Other Industries forming the total demand for rolled aluminum in Europe.</p>
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<p>Adoption trends (initially fast, constant, or initially slow) in using the fraction of low-carbon aluminum production to meet customer requirements in the long run.</p>
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<p>Simulated and historic data for primary aluminum production from 1990 to 2020 for Theil statistics.</p>
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<p>Accumulated GWP from European ARP production for Scenarios 0 to 3 compared to the cumulative carbon budgets for European aluminum production from 2020 to 2050.</p>
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<p>Accumulated GWP evolution of the European ARP production for Scenario 4 (different adoption trends in different decades for the upstream and downstream APRSC actors) compared to the carbon budgets for European aluminum production from 2020 to 2050.</p>
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<p>Accumulated GWP evolution of the European ARP production for Scenario 3 and two different sensitivity tests compared to the carbon budgets for European aluminum production from 2020 to 2050.</p>
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<p>Analysis of the accumulated GWP evolution of the European ARP production for the scenarios to support sustainable production and consumption, in addition to Scenario 3 compared to the carbon budgets for European aluminum production from 2020 to 2050.</p>
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20 pages, 283 KiB  
Review
EU Environmental Protection in Regard to Sustainable Development: Myth or Reality?
by Ivana Špelić and Alka Mihelić-Bogdanić
Standards 2024, 4(4), 176-195; https://doi.org/10.3390/standards4040010 - 12 Oct 2024
Viewed by 495
Abstract
According to conclusions agreed to in the 1995 Report of the World Summit for Social Development and the 2015 Sustainable Development Summit, seventeen sustainable development goals (SDGs) have been ratified and published as the 2030 Agenda for Sustainable Development. In 2022, the 8th [...] Read more.
According to conclusions agreed to in the 1995 Report of the World Summit for Social Development and the 2015 Sustainable Development Summit, seventeen sustainable development goals (SDGs) have been ratified and published as the 2030 Agenda for Sustainable Development. In 2022, the 8th Environment Action Programme was legally agreed upon, following the six European Green Deal priorities. These SDGs serve as a constant reminder of the importance of globally coordinated actions in compliance with the theory of sustainable development. However, more than a constant reminder, this international agreement should become the foundation for necessary change. On 22 July 2024, the daily global average temperature reached a new record high. The EU treaties signed between 1951 and 2007 laid the foundation for the creation of EU environmental policy. However, those EU treaties, along with environmental policy, form merely a non-binding and minimum set of priorities without any sanctions imposed for illegal practices. In 2021, EU member countries adopted the European Climate Law as the first legally binding document seeking to achieve goals set by the Paris Agreement and the European Green Deal. Any further EU sustainable development policies are dependent on global cooperation as a key element of survival. With the EU’s dependent on the rest of the world for its energy, the forcing of any obligatory change will be hard to achieve. This proves the importance of the 17th SDG, agreed in 2015. Only global partnership for sustainable development can prevent further damage to our ecosystem and achieve priorities set by the EU and UN agendas. The review aims to present the connection between sustainable development (SD) goals defined by the European Commission, for which the most important aspects are the need to meet the environmental requirements to protect future needs in the long run, and to confront the shortcomings of European law-making practices, in which most crucial reforms are presented as non-binding legal acts. Finally, in 2024 members of the European Parliament established an extended list of environmental crimes to be regarded as punishable offences and replaced the Environmental Crime Directive, making criminal activities and offences potentially legally punishable; however, it is yet to be seen how this initiative will be incorporated within the national legislations of each EU member country and to what extent. Full article
(This article belongs to the Special Issue Sustainable Development Standards)
20 pages, 1725 KiB  
Review
Taxonomy Regulation as a New Instrument for the Sustainable Management of the Forest Environment in Europe
by Jarosław Brożek, Anna Kożuch, Marek Wieruszewski, Roman Jaszczak and Krzysztof Adamowicz
Sustainability 2024, 16(20), 8799; https://doi.org/10.3390/su16208799 - 11 Oct 2024
Viewed by 715
Abstract
Regulation (EU) 2020/852 of the European Parliament, also known as the Taxonomy Regulation, facilitates environmentally sustainable investments. It is part of the concept of the European Green Deal and a ‘tool’ for financial institutions, enterprises, and investors, facilitating the assessment of the environmental [...] Read more.
Regulation (EU) 2020/852 of the European Parliament, also known as the Taxonomy Regulation, facilitates environmentally sustainable investments. It is part of the concept of the European Green Deal and a ‘tool’ for financial institutions, enterprises, and investors, facilitating the assessment of the environmental impact of a particular project. The Regulation contains the criteria an activity must meet to be considered environmentally sustainable. The role of the Taxonomy Regulation is to enable the flow of public and private capital towards ecological and sustainable activities. The document does not need to be implemented into the legal order of individual EU member-states, which results in its direct application. The main financial instruments enabling the achievement of the goals of the Taxonomy Regulation may be green bonds and other forms of capital raising by entrepreneurs and forest ownership structures. The assumption of the Regulation is to achieve the principles of sustainable environmental activity when spending funds obtained from private investors. It is an issue of key significance to identify the areas of management and financial accounting in the operational activities of forest enterprises that can be qualified for the Taxonomy Regulation. Forestry activities, including the processes mentioned therein, the objectives of the New EU Forest Strategy, and the LULUCF Regulation, are to play an essential role in reducing greenhouse gas emissions. The role of forestry in the supply chain in its broad sense is also considered. Forestry and forest management can receive capital for sustainable development due to the threat resulting from exclusions that strengthen the protective function of the forest (the protection of biodiversity). These processes will occur at the expense of production and numerous social functions. Full article
(This article belongs to the Special Issue Urban Green Space and Sustainable Forest Management)
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<p>The position of the Taxonomy Regulation in the system of sources of law in the European Union.</p>
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<p>The interrelationship between the Taxonomy Regulation and the European Green Deal.</p>
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<p>Data flow in the Taxonomy Regulation.</p>
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<p>The procedure for qualifying a business activity and presenting environmentally sustainable data.</p>
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<p>An example of a supply chain based on the Technical Qualification Criteria.</p>
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23 pages, 1279 KiB  
Review
Legal Barriers in Sustainable Agriculture: Valorization of Agri-Food Waste and Pesticide Use Reduction
by Rosalinda Nicastro, Mattia Papale, Giovanna Marta Fusco, Annalinda Capone, Biagio Morrone and Petronia Carillo
Sustainability 2024, 16(19), 8677; https://doi.org/10.3390/su16198677 - 8 Oct 2024
Viewed by 835
Abstract
The transition to sustainability in agriculture faces significant challenges, especially to balance environmental goals with the practical demands of food production. This paper examines two different case studies that reveal the complexities of agricultural regulation. The first case focuses on the valorization of [...] Read more.
The transition to sustainability in agriculture faces significant challenges, especially to balance environmental goals with the practical demands of food production. This paper examines two different case studies that reveal the complexities of agricultural regulation. The first case focuses on the valorization of agri-food residual biomasses, highlighting the potential to transform food waste into valuable bioproducts such as bioenergy and biofertilizers. Despite the clear environmental and economic benefits, the absence of specific European regulations hinders the widespread adoption of these practices. Without clear rules for achieving “end-of-waste” status, the development and marketing of bio-based products remain restricted. The second case study examines the European Union’s unsuccessful effort to implement the Sustainable Use of Pesticides Regulation (SUR), which aimed to reduce pesticide use by 50% by 2030. Although the regulation sought to align agricultural practices with the EU’s Green Deal, it triggered widespread protests from farmers concerned about the potential economic losses and decreased productivity. These two cases, one showing under-regulation and the other over-regulation, highlight the need for balanced and practical regulatory frameworks that promote sustainability without imposing unrealistic demands on stakeholders. This paper ends with recommendations to harmonize regulations across Europe, ensuring that both innovation in agricultural waste management and practical pesticide reduction strategies are implemented in a way that supports farmers and producers, minimizing economic disruptions and encouraging sustainable agricultural practices. Full article
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Graphical abstract
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<p>Waste hierarchy inverted pyramid.</p>
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<p>The circular economy’s strategy is to produce no waste because today’s residual products are tomorrow’s raw materials.</p>
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<p>The variation in the price of fertilizers aggregated by nutrient in Europe from January 2021 to July 2024. Image created using data from Agri-food market data [<a href="#B77-sustainability-16-08677" class="html-bibr">77</a>].</p>
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21 pages, 960 KiB  
Article
Green Infrastructure and Adaptation to Climate Change in Marginal Areas: A Reference Scheme for Implementation Guidelines in Italy
by Andrea De Montis, Antonio Ledda, Vittorio Serra and Giovanna Calia
Sustainability 2024, 16(19), 8641; https://doi.org/10.3390/su16198641 - 6 Oct 2024
Viewed by 950
Abstract
Marginal areas (MAs) can show scarce disaster resilience in the context of climate change. Proactive adaptation to climate change (ACC) based on green infrastructure (GI) has the potential to increase the disaster resilience of the MAs. The scientific literature has scarcely addressed research [...] Read more.
Marginal areas (MAs) can show scarce disaster resilience in the context of climate change. Proactive adaptation to climate change (ACC) based on green infrastructure (GI) has the potential to increase the disaster resilience of the MAs. The scientific literature has scarcely addressed research on methods and guidelines for promoting ACC and GI to increase the resilience of MAs. No previous research has focused on a method to set a reference scheme for implementation guidelines concerning the use of GI as an ACC approach to deal with the effects of a changing climate in Italian MAs. In this regard, this study aims to provide planners and public administrations with an appropriate scheme to foster the mainstreaming of ACC and GI into the planning of MAs. To do so, we proposed and applied a methodological approach consisting of the scrutiny of the scientific and grey literature with the purpose of distilling a set of key elements (KEs) that need to be considered as a reference scheme for implementation guidelines. As main findings, we identified ten KEs relevant to drafting guidelines for integrating ACC and GI into planning tools, e.g., a clear definition of GI, participative approaches, public–private cooperation, and others, that will be tested in ongoing research. Full article
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<p>Municipalities funded by the Support Fund (genuine figure by the authors; data retrieved from: <a href="https://www.agenziacoesione.gov.it/news_istituzionali/fondo-di-sostegno-ai-comuni-marginali-2021-2023/" target="_blank">https://www.agenziacoesione.gov.it/news_istituzionali/fondo-di-sostegno-ai-comuni-marginali-2021-2023/</a> latest access 10 September 2024).</p>
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21 pages, 1232 KiB  
Review
Digital Twins for Research and Innovation in Support of the European Green Deal Data Space: A Systematic Review
by Kaori Otsu and Joan Maso
Remote Sens. 2024, 16(19), 3672; https://doi.org/10.3390/rs16193672 - 1 Oct 2024
Viewed by 941
Abstract
According to the European Data Strategy established in 2020, the European Open Science Cloud (EOSC) is described as “the basis for a science, research and innovation data space… and will be connected and articulated with the sectoral data spaces”, being one of the [...] Read more.
According to the European Data Strategy established in 2020, the European Open Science Cloud (EOSC) is described as “the basis for a science, research and innovation data space… and will be connected and articulated with the sectoral data spaces”, being one of the 14 European Common Data Spaces. While current cross-sectoral interactions with the EOSC are realised through the association’s Health Data Task Force, advancements in other EU priorities, such as the Green Deal and the Digital Strategy, should be accelerated in the green and digital transitions and integrated by reinforcing each other to be climate-neutral by 2050. With this motivation, this paper systematically reviews data spaces and digital twins (DTs) within the context of research and innovation. Specifically, focusing on the relevance of the EOSC to the Green Deal Data Space (GDDS) and DTs of the Earth, the relationship between them is explored using a topic search with various keyword combinations in the Web of Science and CORDIS databases. Based on the selected scientific articles and projects, collaboration opportunities are mapped to connect relevant stakeholders. Furthermore, existing and developing service components that could contribute to technical building blocks for the GDDS are identified. In summary, key findings are highlighted, addressing the current gaps and opportunities among the GDDS initiatives presented in this review. Full article
(This article belongs to the Section Remote Sensing and Geo-Spatial Science)
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<p>Workflow of systematic literature review and selection. The asterisk wildcard character (*) can include plurals.</p>
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<p>Distribution of HORIZON projects searched in CORDIS by keyword (data space*) and summarised by sector and year.</p>
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<p>Stakeholder mapping of collaboration opportunities among the projects and initiatives relevant to the GDDS, DTs of the Earth, and the EOSC.</p>
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17 pages, 1577 KiB  
Article
Intelligent Traffic Control Decision-Making Based on Type-2 Fuzzy and Reinforcement Learning
by Yunrui Bi, Qinglin Ding, Yijun Du, Di Liu and Shuaihang Ren
Electronics 2024, 13(19), 3894; https://doi.org/10.3390/electronics13193894 - 1 Oct 2024
Viewed by 580
Abstract
Intelligent traffic control decision-making has long been a crucial issue for improving the efficiency and safety of the intelligent transportation system. The deficiencies of the Type-1 fuzzy traffic control system in dealing with uncertainty have led to a reduced ability to address traffic [...] Read more.
Intelligent traffic control decision-making has long been a crucial issue for improving the efficiency and safety of the intelligent transportation system. The deficiencies of the Type-1 fuzzy traffic control system in dealing with uncertainty have led to a reduced ability to address traffic congestion. Therefore, this paper proposes a Type-2 fuzzy controller for a single intersection. Based on real-time traffic flow information, the green timing of each phase is dynamically determined to achieve the minimum average vehicle delay. Additionally, in traffic light control, various factors (such as vehicle delay and queue length) need to be balanced to define the appropriate reward. Improper reward design may fail to guide the Deep Q-Network algorithm to learn the optimal strategy. To address these issues, this paper proposes a deep reinforcement learning traffic control strategy combined with Type-2 fuzzy control. The output action of the Type-2 fuzzy control system replaces the action of selecting the maximum output Q-value of the target network in the DQN algorithm, reducing the error caused by the use of the max operation of the target network. This approach improves the online learning rate of the agent and increases the reward value of the signal control action. The simulation results using the Simulation of Urban MObility platform show that the traffic signal optimization control proposed in this paper has achieved significant improvement in traffic flow optimization and congestion alleviation, which can effectively improve the traffic efficiency in front of the signal light and improve the overall operation level of traffic flow. Full article
(This article belongs to the Special Issue Smart Vehicles and Smart Transportation Research Trends)
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<p>Single intersection signal light control model.</p>
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<p>There are three multiple panels in the process of converting the traffic state into the input matrix.</p>
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<p>Four-phase signal diagram.</p>
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<p>Traffic decision principle diagram based on Type2-FDQN algorithm.</p>
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<p>The workflow of the traffic decision-making process based on the Type-2-FDQN algorithm.</p>
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<p>SUMO simulation single-intersection simulation environment.</p>
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<p>Software simulation process.</p>
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<p>Trend chart of average cumulative reward value.</p>
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<p>Average queue length of the vehicle.</p>
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<p>Average speed of vehicle.</p>
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<p>Average waiting time of the vehicle.</p>
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<p>Total waiting time of vehicle.</p>
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<p>Average vehicle speed under different traffic volumes.</p>
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<p>Average vehicle queue length under different traffic volumes.</p>
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21 pages, 4910 KiB  
Article
Physicochemical Marker for Determination of Value-Adding Component in Over-Ripe Thai Mango Peels
by Pirawan Chaiwan, Pornchai Rachtanapun, Yuthana Phimolsiripol, Warintorn Ruksiriwanich, Chunmei Li, Lu Luo, Dan Shen, Hsiao-Hang Chung, David George, Tibet Tangpao, Sarana Rose Sommano and Piyachat Sunanta
Horticulturae 2024, 10(10), 1036; https://doi.org/10.3390/horticulturae10101036 - 29 Sep 2024
Viewed by 388
Abstract
Thailand is a prominent global producer of mangoes, providing a wide range of mango cultivars and dealing with the challenge of managing biomass. Thus, biorefining mango peel to extract valuable components has the potential to reduce organic waste and create a new revenue [...] Read more.
Thailand is a prominent global producer of mangoes, providing a wide range of mango cultivars and dealing with the challenge of managing biomass. Thus, biorefining mango peel to extract valuable components has the potential to reduce organic waste and create a new revenue source for the mango processing sector. This study aims to examine the physiology, physiochemical, and chemical characteristics in peel of nine Thai mango cultivars, along with the relationship between their characteristics. The Thai mango cultivars Mahachanok, Chok anan, and Rad exhibited a yellow appearance, while the other six cultivars appeared yellow-green. However, the firmness of the fruit was directly correlated with the firmness of the pulp. A proximate composition study revealed that the predominant constituent of mango peel was carbohydrates, comprising up to 75% of its composition. This was followed by fibre, which accounted for up to 13%. The Nga mango had the highest levels of total phenolic content (220 mgGAE/g) and total flavonoid content (5.5 mgCE/g). The primary phenolic acids identified in Thai mango peel were epicatechin, caffeic acid, catechin, and gallic acid. The Mahachanok cultivar exhibited the highest antioxidant activity, as determined by the ABTS and DPPH assays, with values of 85.67% and 85.78%, respectively. This study demonstrated the connections between the physiochemical characteristics of mangoes and their chemical compositions in different cultivars, indicating the possibility of choosing particular cultivars for extracting targeted bioactive compounds. The multivariate analyses revealed that there was no correlation between the physiochemical and chemical profiles of mangoes. This study highlights the significance of mango peel as a valuable by-product that has significant environmental and economic ramifications for the mango processing industry. Full article
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<p>Diffuse reflectance spectra by NIR of different mango cultivars. (MA = Mam kamdang, RD = Rad, NG = Nga, KO = Kam, MR = Morrakot, CH = Chok anan, MH = Mahachanok, AK = Ok rong, and TL = Talab nak).</p>
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<p>The chemometric PAC biplot based on Thai mango cultivars and chemical characteristics of Thai mango cultivars (<b>A</b>) and their dendrogram analysis (<b>B</b>); MA = Mam kamdang, RD = Rad, NG = Nga, KO = Kam, MR = Morrakot, CH = Chok anan, MH = Mahachanok, AK = Ok rong, and TL = Talab nak.</p>
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<p>The chemometric PAC biplot based on Thai mango cultivars and the chemical characteristics of Thai mango cultivars (<b>A</b>) and their dendrogram analysis (<b>B</b>); the score plot clustering between the NIR spectrum of mango peel powder (<b>C</b>) and heatmap analysis of the NIR patterns (<b>D</b>). MA = Mam kamdang, RD = Rad, NG = Nga, KO = Kam, MR = Morrakot, CH = Chok anan, MH = Mahachanok, AK = Ok rong, and TL = Talab nak.</p>
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<p>The chemometric PAC biplot based on Thai mango cultivars and the chemical characteristics of Thai mango cultivars (<b>A</b>) and their dendrogram analysis (<b>B</b>); the score plot clustering between the NIR spectrum of mango peel powder (<b>C</b>) and heatmap analysis of the NIR patterns (<b>D</b>). MA = Mam kamdang, RD = Rad, NG = Nga, KO = Kam, MR = Morrakot, CH = Chok anan, MH = Mahachanok, AK = Ok rong, and TL = Talab nak.</p>
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<p>Empirical correlation matrix of the physical and chemical parameters of mangoes. (<b>A</b>–<b>H</b>) indicate the correlations among weight (<b>A</b>), fruit ratio (<b>B</b>), fruit hardness (<b>C</b>), flesh firmness (<b>D</b>), pH (<b>E</b>), <span class="html-italic">L</span> value (<b>F</b>), <span class="html-italic">a</span>* value (<b>G</b>), and <span class="html-italic">b</span>* value (<b>H</b>) of mango fruit with their chemical components. 1 = DNS; 2 = total phenolic content; 3 = total flavonoid content; 4 = ABTS; 5 = DPPH; 6 = FRAP; 7 = gallic acid; 8 = catechin; 9 = epicatechin; 10 = caffeic acid; 11 = naringin; 12 = p-coumeric acid; 13 = rosmarinnic acid; 14 = vanillin acid; 15 = o-coumeric acid; 16 = crude protein; 17 = moisture content; 18 = crude fat; 19 = crude fibre; 20 = crude ash; 21 = carbohydrate.</p>
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<p>Heatmap analysis of the correlation coefficient between physicochemical and chemical composition of mango peels.</p>
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24 pages, 20225 KiB  
Article
Data Discovery for Digital Building Logbook (DBL): Directly Implementing and Enabling a Smarter Urban Built Environment
by Pedro Mêda, Diego Calvetti, Hipólito Sousa and Joaquim Moreira
Urban Sci. 2024, 8(4), 160; https://doi.org/10.3390/urbansci8040160 - 29 Sep 2024
Viewed by 398
Abstract
Digital Building Logbooks (DBLs) are the EU repositories for all building-related data. Logbook implementation conveys challenges, but it must be recognised that relevant things already exist. This article bridges the gap at the data discovery level by assessing the existing data and comparing [...] Read more.
Digital Building Logbooks (DBLs) are the EU repositories for all building-related data. Logbook implementation conveys challenges, but it must be recognised that relevant things already exist. This article bridges the gap at the data discovery level by assessing the existing data and comparing it with EU DBL studies. Action research is the methodology, employing Portugal as an example. A deductive approach and interpretivism are used, supporting the data discovery journey. When evaluating existing datasets with DBL EU guidelines data requirements, the findings demonstrate a match from 90.6% to 82.6%, depending on the level: cadastral parcel, building or building unit. Several additional observed datasets suit the DBL framework, constituting a path for future research. Insights into the dataset landscape from a specific perspective are offered. Given the deliverables’ characteristics, the study results can be generalised. The data discovery journey led to the understanding that duplicates and inconsistencies exist. A strategic approach for data sharing, governance and usage should be established to solve them, increasing digital maturity, integration and interoperability. Revising the legal framework is found to be paramount. Working from the existing elements and aligning them with data space assumptions can make DBL implementation more straightforward. Full article
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<p>Research design systematisation, embedding the deductive approach in the action research cycle and endorsing the section’s titles.</p>
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<p>DBL levels, cadastral parcel, building and building unit, based on work from DG-Grow [<a href="#B18-urbansci-08-00160" class="html-bibr">18</a>].</p>
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<p>Main components/layers of the proposed DBL framework [<a href="#B18-urbansci-08-00160" class="html-bibr">18</a>].</p>
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<p>Overview of existing Portuguese deliverables considered in the study and relevant to the EU DBL framework and positioning in the construction process life cycle.</p>
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<p>Urban matrix certificate (CPU) knowledge graph evidencing the relevant datasets.</p>
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<p>Property registry (RP) knowledge graph evidencing the relevant datasets.</p>
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<p>Statistical urban planning operations indicator system Q3 form (SIOU) knowledge graph evidencing the relevant datasets.</p>
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<p>Technical housing datasheet (FTH) knowledge graph evidencing the relevant datasets.</p>
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<p>Energy performance certificate (EPC) knowledge graph evidencing the relevant datasets.</p>
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<p>DBL cadastral parcel level with the datasets presented in the guidelines and comparison with those from studied Portuguese deliverables.</p>
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<p>DBL building level with the datasets presented in the guidelines and comparison with those from studied Portuguese deliverables.</p>
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<p>DBL building unit level with the datasets presented in the guidelines and comparison with those from studied Portuguese deliverables.</p>
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17 pages, 4604 KiB  
Article
The Influence of Energy Consumption and the Environmental Impact of Electronic Components on the Structures of Mobile Robots Used in Logistics
by Constantin-Adrian Popescu, Severus-Constantin Olteanu, Ana-Maria Ifrim, Catalin Petcu, Catalin Ionut Silvestru and Daniela-Mariana Ilie
Sustainability 2024, 16(19), 8396; https://doi.org/10.3390/su16198396 - 26 Sep 2024
Viewed by 879
Abstract
Industrial development has implicitly led to the development of new systems that increase the ability to provide services and products in real time. Autonomous mobile robots are considered some of the most important tools that can help both industry and society. These robots [...] Read more.
Industrial development has implicitly led to the development of new systems that increase the ability to provide services and products in real time. Autonomous mobile robots are considered some of the most important tools that can help both industry and society. These robots offer a certain autonomy that makes them indispensable in industrial activities. However, some elements of these robots are not yet very well outlined, such as their construction, their lifetime and energy consumption, and the environmental impact of their activity. Within the context of European regulations (here, we focus on the Green Deal and the growth in greenhouse gas emissions), any industrial activity must be analyzed and optimized so that it is efficient and does not significantly impact the environment. The added value of this paper is its examination of the activities carried out by mobile robots and the impact of their electronic components on the environment. The proposed analysis employs, as a central point, an analysis of mobile robots from the point of view of their electronic components and the impact of their activity on the environment in terms of energy consumption, as evaluated by calculating the emission of greenhouse gases (GHGs). The way in which the activity of a robot impacts the environment was established throughout the economic flow, as well as by providing possible methods of reducing this impact by optimizing the robot’s activity. The environmental impact of a mobile robot, in regard to its electronic components, will also be analyzed when the period of operation is completed. Full article
(This article belongs to the Special Issue Sustainability and Innovation in SMEs)
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<p>Block diagram with the main components of the designed mobile robot.</p>
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<p>Robot-specific mechanical infrastructure and drive systems.</p>
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<p>Electrical architecture specific to the command and control system of the designed mobile robot structure.</p>
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<p>Electrical architecture specific to the sensor system in the designed mobile robot structure.</p>
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<p>The application in which the designed AMR is integrated—initial route (unoptimized).</p>
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<p>The application in which the designed AMR is integrated—with adapted route after reconfiguring the storage area (optimized).</p>
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25 pages, 646 KiB  
Article
Improved Projection Pursuit Model to Evaluate the Maturity of Healthy Building Technology in China
by Peng Zhou, Chenyang Peng, Bin Gan, Zhou Wang and Xueren Liu
Buildings 2024, 14(10), 3067; https://doi.org/10.3390/buildings14103067 - 25 Sep 2024
Viewed by 401
Abstract
The development of healthy building technology has become a major trend in the global construction industry, especially in China, owing to accelerating urbanization and increasing health awareness among residents. However, an effective evaluation framework to quantify and evaluate the maturity of healthy building [...] Read more.
The development of healthy building technology has become a major trend in the global construction industry, especially in China, owing to accelerating urbanization and increasing health awareness among residents. However, an effective evaluation framework to quantify and evaluate the maturity of healthy building technology is lacking. This paper proposes a novel maturity evaluation model for healthy building technology. After analyzing the Driver–Pressure–State–Impact–Response (DPSIR) framework for asserting the maturity of healthy building in China, it constructs an evaluation indicator system, comprising five and twenty-seven first- and second-class indicators, respectively. Subsequently, this paper constructs an improved projection pursuit model based on border collie optimization. The model obtains evaluation results by mining evaluation data, thus overcoming the limitations of traditional evaluation models in dealing with complex data. The empirical research results demonstrate that China is in the optimization stage in terms of the level of maturity of healthy building technology. The weight of impact is as high as 0.2743, which is the most important first-level indicator. Strict green energy utilization policy requirements are the most important secondary indicator, with a weight of 0.0513. Notably, the model is more advanced than other algorithms. In addition, this paper offers some countermeasures and suggestions to promote healthy building in China. Developing and applying this model can promote and popularize healthy building technology in China and even the globe and contribute to a healthier and more sustainable living environment. Full article
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<p>DPSIR framework for assessing the maturity of healthy buildings in China.</p>
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<p>Flow chart of the model.</p>
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19 pages, 379 KiB  
Article
Implementation Effect, Long-Term Mechanisms, and Industrial Upgrading of the Low-Carbon City Pilot Policy: An Empirical Study Based on City-Level Panel Data from China
by Gongmin Zhao, Yining Zhang and Yongjie Wu
Sustainability 2024, 16(19), 8316; https://doi.org/10.3390/su16198316 - 24 Sep 2024
Viewed by 664
Abstract
The green, low-carbon transition is a broad and profound change. The low-carbon city pilot policy (LCCP) is one of the most important strategies in China, aimed at dealing with climate change and realizing the green, low-carbon transition. Therefore, a quantitative evaluation of the [...] Read more.
The green, low-carbon transition is a broad and profound change. The low-carbon city pilot policy (LCCP) is one of the most important strategies in China, aimed at dealing with climate change and realizing the green, low-carbon transition. Therefore, a quantitative evaluation of the implementation effect of the pilot policy is conducive to better promoting low-carbon work in the pilot areas. Based on 283 cities in China from 2005 to 2021, this paper constructs a double-difference model to empirically test the implementation effect, long-term mechanisms, and industrial upgrading of the pilot policy. The results show that the LCCP significantly promotes high-quality economic development and employment stability. After a series of robustness and endogenic tests, the conclusions in this study are still valid. Further analysis of the findings in this paper shows that the pilot programs promote the optimization and upgrading of industrial structures. The mediating effect shows that the LCCP has established three long-term mechanisms: developing alternative industries, expanding the level of openness, and promoting innovation. The heterogeneity analysis shows that the pilot policy’s implementation effect is more significant in cities located in central and western regions, as well as in non-resource-based cities. This study proposes the continuation of the promotion and implementation of the pilot policy, an increase in financial funds and policy support, the need to strengthen the labor market’s adaptability and protection mechanisms, the adaptation to local conditions to promote policy implementation, and the need to step up efforts to publicize pilot policies. Full article
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<p>Parallel trend hypothesis test.</p>
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<p>Placebo test.</p>
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25 pages, 3026 KiB  
Article
Enhancing Knowledge on Energy Refurbishment of Buildings and Green Procurement through Living Labs
by Maršenka Marksel, Nina Pavletič and Tomislav Letnik
Buildings 2024, 14(9), 3009; https://doi.org/10.3390/buildings14093009 - 22 Sep 2024
Viewed by 535
Abstract
Buildings account for a significant portion of energy consumption and greenhouse gas emissions, underscoring the urgent need for energy refurbishment and green procurement strategies. This study explores the potential of Living Labs, a collaborative and user-centered approach, to bridge knowledge gaps and foster [...] Read more.
Buildings account for a significant portion of energy consumption and greenhouse gas emissions, underscoring the urgent need for energy refurbishment and green procurement strategies. This study explores the potential of Living Labs, a collaborative and user-centered approach, to bridge knowledge gaps and foster innovation in these areas. The research employed a comprehensive methodology, including stakeholder surveys and statistical analyses, to evaluate knowledge enhancement in various domains such as green policies, mentoring, funding possibilities, and green public procurement. The results demonstrated statistically significant improvements in knowledge across different fields and stakeholder groups. This study contributes to the objectives of the European Green Deal by highlighting the role of Living Labs in advancing knowledge critical to achieving energy efficiency and sustainability targets. Based on these findings, several recommendations are proposed to further leverage the effectiveness of Living Labs in promoting the energy refurbishment of buildings and green public procurement. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
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<p>Living labs set up methodology.</p>
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<p>General knowledge of stakeholders before and after participating in LL (%) (<span class="html-italic">n</span> = 86). Likert scale: 1—Poor, 2—Fair, 3—Good, 4—Very good, and 5—Excellent.</p>
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<p>Level of knowledge regarding green policy among stakeholders before and after participating in LL (%) (<span class="html-italic">n</span> = 38). Likert scale: 1—Poor, 2—Fair, 3—Good, 4—Very good, and 5—Excellent.</p>
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<p>Level of knowledge regarding funding among stakeholders before and after participating in LL (%) (<span class="html-italic">n</span> = 21). Likert scale: 1—Poor, 2—Fair, 3—Good, 4—Very good, and 5—Excellent.</p>
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<p>Level of knowledge regarding mentoring among stakeholders before and after participating in LL (%) (<span class="html-italic">n</span> = 21). Likert scale: 1—Poor, 2—Fair, 3—Good, 4—Very good, and 5—Excellent.</p>
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<p>Level of knowledge regarding GPP among stakeholders before and after participating in LL (%) (<span class="html-italic">n</span> = 22). Likert scale: 1—Poor, 2—Fair, 3—Good, 4—Very good, and 5—Excellent.</p>
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