Increasing water withdrawals and changes in land cover/use are critically altering surface water bodies, often causing a noticeable reduction in their area. Such anthropogenic modification of surface waters needs to be thoroughly examined to recognize the dynamics through which humans affect the loss of surface water. By leveraging remotely-sensed data and employing a distance–decay model, we investigate the loss of surface water resources that occurred in Italy between 1984 and 2021 and explore its association with land cover change and potential human pressure. In particular, we first estimate the land cover conversion across locations experiencing surface water loss. Next, we identify and analytically model the influence of irrigated and built-up areas, which heavily rely on surface waters, on the spatial distribution of surface water losses across river basin districts and river basins in Italy. Our results reveal that surface water losses are mainly located in northern Italy, where they have been primarily replaced by cropland and vegetation. As expected, we find that surface water losses tend to be more concentrated in the proximity of both irrigated and built-up areas yet showing differences in their spatial occurrence and extent. These observed spatial patterns are well captured by our analytical model, which outlines the predominant role of irrigated areas, mainly across northern Italy and Sicily, and more dominant effects of built-up areas across the Apennines and in Sardinia. By highlighting land cover patterns following the loss of surface water and evaluating the relative distribution of surface water losses with respect to areas of human pressure, our analysis provides key information that could support water management and prevent future conditions of water scarcity due to unsustainable water exploitation.
{"title":"Land Cover and Spatial Distribution of Surface Water Loss Hotspots in Italy","authors":"Irene Palazzoli, Gianluca Lelli, Serena Ceola","doi":"10.3390/su16188021","DOIUrl":"https://doi.org/10.3390/su16188021","url":null,"abstract":"Increasing water withdrawals and changes in land cover/use are critically altering surface water bodies, often causing a noticeable reduction in their area. Such anthropogenic modification of surface waters needs to be thoroughly examined to recognize the dynamics through which humans affect the loss of surface water. By leveraging remotely-sensed data and employing a distance–decay model, we investigate the loss of surface water resources that occurred in Italy between 1984 and 2021 and explore its association with land cover change and potential human pressure. In particular, we first estimate the land cover conversion across locations experiencing surface water loss. Next, we identify and analytically model the influence of irrigated and built-up areas, which heavily rely on surface waters, on the spatial distribution of surface water losses across river basin districts and river basins in Italy. Our results reveal that surface water losses are mainly located in northern Italy, where they have been primarily replaced by cropland and vegetation. As expected, we find that surface water losses tend to be more concentrated in the proximity of both irrigated and built-up areas yet showing differences in their spatial occurrence and extent. These observed spatial patterns are well captured by our analytical model, which outlines the predominant role of irrigated areas, mainly across northern Italy and Sicily, and more dominant effects of built-up areas across the Apennines and in Sardinia. By highlighting land cover patterns following the loss of surface water and evaluating the relative distribution of surface water losses with respect to areas of human pressure, our analysis provides key information that could support water management and prevent future conditions of water scarcity due to unsustainable water exploitation.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"21 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
David Fehrenbach, Carolina Herrando, María José Martín-De Hoyos
Artificial intelligence (AI) has significantly disrupted B2B markets, impacting companies at the product, service, and organizational levels. A key focus is on how to leverage the power of AI to augment and automate activities to create value for customers. One specific form of value creation investigated in marketing is co-creation between parties. Introducing AI into the co-creation process is exciting due to its technological characteristics and the anticipated business value it can bring. This study explores the state of the art in co-creation with AI in B2B markets. It examines how buyers, suppliers, and technology providers interact, along with their motives and characteristics. Furthermore, it investigates the processes enabling these interactions, from the form of AI used and AI tool integration to the necessary capabilities of other actors involved. Finally, this study examines the content of co-creation described in the existing literature and the value created jointly. This review contributes to delineating the interaction between human and non-human actors in a B2B co-creation ecosystem. The implications of this research provide B2B companies with a discussion about the actors, motives, characteristics, processes, and content of co-creation with AI in B2B drivers and barriers of AI for co-creation, mapping the way for success.
{"title":"Co-Creation with AI in B2B Markets: A Systematic Literature Review","authors":"David Fehrenbach, Carolina Herrando, María José Martín-De Hoyos","doi":"10.3390/su16188009","DOIUrl":"https://doi.org/10.3390/su16188009","url":null,"abstract":"Artificial intelligence (AI) has significantly disrupted B2B markets, impacting companies at the product, service, and organizational levels. A key focus is on how to leverage the power of AI to augment and automate activities to create value for customers. One specific form of value creation investigated in marketing is co-creation between parties. Introducing AI into the co-creation process is exciting due to its technological characteristics and the anticipated business value it can bring. This study explores the state of the art in co-creation with AI in B2B markets. It examines how buyers, suppliers, and technology providers interact, along with their motives and characteristics. Furthermore, it investigates the processes enabling these interactions, from the form of AI used and AI tool integration to the necessary capabilities of other actors involved. Finally, this study examines the content of co-creation described in the existing literature and the value created jointly. This review contributes to delineating the interaction between human and non-human actors in a B2B co-creation ecosystem. The implications of this research provide B2B companies with a discussion about the actors, motives, characteristics, processes, and content of co-creation with AI in B2B drivers and barriers of AI for co-creation, mapping the way for success.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"2016 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
Following the European Commission’s approval of the CAP Strategic Plan and the 21 Italian region (CSR)-related strategic documents, the financial aspect that characterized the single national CAP plan was made available. Here, we present and analyze the final data on the distribution of public resources for interventions between 2023 and 2027. This marks a pivotal period of strategic information for those who follow the evolution of the rural development policy, providing vital indications of policymakers’ priorities. In Italy, where rural development policy is highly regionalized, it is difficult to acquire an overall view of the strategic choices adopted by the individual regions. The primary objective of this article is to offer a comprehensive and enlightening synopsis of the regional choices in the CSRs. It aims to identify shared strategic paths in rural development, with a specific focus on the financial allocation in each of the three historical macro-objectives of the CAP: the competitiveness of the agri-food sector, the protection of the environment, and the revitalization of rural areas. Cluster analysis classification allows for aggregating the strategies adopted, allowing for comparisons across the Italian regions. The results show three regional groups focused on environmental strategy, structural investment measures, and resource distribution that is more balanced between these two approaches. Identifying the strategic choices made by the regions allows policymakers to predict different development trajectories and the progress of the expenditure indicators over the years. At the moment, it is impossible to verify whether the policy mix defined in the budget allocation is consistent with the strategic statements.
在欧盟委员会批准了 CAP 战略计划和与 21 个意大利大区（CSR）相关的战略文件后，作为单一国家 CAP 计划特点的财务方面也随之公布。在此，我们介绍并分析了 2023 年至 2027 年期间公共资源干预分配的最终数据。对于那些关注农村发展政策演变的人来说，这标志着一个关键时期的战略信息，为政策制定者的优先事项提供了重要指示。在意大利，农村发展政策高度地区化，因此很难全面了解各个地区所采取的战略选择。本文的主要目的是对各地区在 CSR 中的选择提供一个全面的、具有启发性的概述。文章旨在确定农村发展的共同战略路径，并特别关注补充性追加计划三个历史性宏观目标中每个目标的资金分配情况：农业食品行业的竞争力、环境保护和农村地区的振兴。通过聚类分析分类，可以对所采取的战略进行汇总，从而对意大利各大区进行比较。结果显示，三个地区组分别侧重于环境战略、结构性投资措施和资源分配，这两种方法之间的平衡性较好。确定各大区的战略选择后，政策制定者就可以预测不同的发展轨迹和多年来支出指标的进展情况。目前还无法核实预算分配中确定的政策组合是否与战略声明相一致。
{"title":"The Different Strategies of the Italian Regions within the 2023 2027 Rural Development Programme","authors":"Francesco Piras, Antonio Pulina, Pierluigi Milone","doi":"10.3390/su16188028","DOIUrl":"https://doi.org/10.3390/su16188028","url":null,"abstract":"Following the European Commission’s approval of the CAP Strategic Plan and the 21 Italian region (CSR)-related strategic documents, the financial aspect that characterized the single national CAP plan was made available. Here, we present and analyze the final data on the distribution of public resources for interventions between 2023 and 2027. This marks a pivotal period of strategic information for those who follow the evolution of the rural development policy, providing vital indications of policymakers’ priorities. In Italy, where rural development policy is highly regionalized, it is difficult to acquire an overall view of the strategic choices adopted by the individual regions. The primary objective of this article is to offer a comprehensive and enlightening synopsis of the regional choices in the CSRs. It aims to identify shared strategic paths in rural development, with a specific focus on the financial allocation in each of the three historical macro-objectives of the CAP: the competitiveness of the agri-food sector, the protection of the environment, and the revitalization of rural areas. Cluster analysis classification allows for aggregating the strategies adopted, allowing for comparisons across the Italian regions. The results show three regional groups focused on environmental strategy, structural investment measures, and resource distribution that is more balanced between these two approaches. Identifying the strategic choices made by the regions allows policymakers to predict different development trajectories and the progress of the expenditure indicators over the years. At the moment, it is impossible to verify whether the policy mix defined in the budget allocation is consistent with the strategic statements.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"21 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
Hugo Muñoz, Paulo Molina, Ignacio A. Urzúa-Parra, Diego A. Vasco, Magdalena Walczak, Gonzalo Rodríguez-Grau, Francisco Chateau, Mamié Sancy
Cellulose and paper produce significant waste such as ash, activated sludge, and sludge from the pulp and paper industry. Depending on the raw material, legislation, and subprocesses, these sludges contain around 30–50% organic matter, mainly composed of less than 0.02 mm cellulose fibers and hemicellulose and lignin. This work used sludge from the pulp and paper industry as a substrate for manufacturing mycelium-based biomaterials using the white rot fungus Trametes versicolor. Chemical and surface analyses revealed the formation of new materials. Acoustic impedance analyses revealed that these materials have a noise reduction coefficient and sound absorption average comparable to extruded polystyrene and polyurethane. In addition, the material’s thermal conductivity was near that of sheep wool. Therefore, the biomaterials fabricated using sludge and Trametes versicolor have the potential to be a game-changer in the industry as promising thermoacoustic insulators.
{"title":"Applicability of Paper and Pulp Industry Waste for Manufacturing Mycelium-Based Materials for Thermoacoustic Insulation","authors":"Hugo Muñoz, Paulo Molina, Ignacio A. Urzúa-Parra, Diego A. Vasco, Magdalena Walczak, Gonzalo Rodríguez-Grau, Francisco Chateau, Mamié Sancy","doi":"10.3390/su16188034","DOIUrl":"https://doi.org/10.3390/su16188034","url":null,"abstract":"Cellulose and paper produce significant waste such as ash, activated sludge, and sludge from the pulp and paper industry. Depending on the raw material, legislation, and subprocesses, these sludges contain around 30–50% organic matter, mainly composed of less than 0.02 mm cellulose fibers and hemicellulose and lignin. This work used sludge from the pulp and paper industry as a substrate for manufacturing mycelium-based biomaterials using the white rot fungus Trametes versicolor. Chemical and surface analyses revealed the formation of new materials. Acoustic impedance analyses revealed that these materials have a noise reduction coefficient and sound absorption average comparable to extruded polystyrene and polyurethane. In addition, the material’s thermal conductivity was near that of sheep wool. Therefore, the biomaterials fabricated using sludge and Trametes versicolor have the potential to be a game-changer in the industry as promising thermoacoustic insulators.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"55 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
Adithya Shenoy, Gopinatha Nayak, Adithya Tantri, Kiran K. Shetty, Jasmin Anna Maxwell, B. H. Venkataram Pai, Laxman P. Kudva
The development of special concrete focussed on sustainability and energy conservation has been approached through the use of recycled materials, novel techniques and processes, and materials that harness natural energy. This paper presents the results of one such study on the development of light-transmitting concrete using a novel polymeric transmitting media, poly-methyl-methacrylate, and a detailed analysis of the results obtained. Four variants based on the diameter and number of rods have been studied, with 5 and 10 mm diameter rods incorporated into 100 mm cube samples. A positive correlation between the area of rods and transmittance has been established; however, a loss in compressive and flexural strength was observed. Seasonal and monthly variation results indicate higher transmittance in summer, with the highest transmittance being observed in the month of May and the monsoon having the lowest transmittance, specifically in the month of July. The results of a case study of the application of the material have also been presented. The cost of construction has been studied, and the prediction of electricity consumption during operations has been carried out. The results have indicated the feasibility of use, even with the high initial cost. Variants have been shown to return the investments in a period of 7–31 years. Additionally, three of the four variants showed a sharp decrease in total CO2 emissions by eliminating the need for energy for daylighting and eliminating the consumption of electricity throughout the service life. Variants have been shown to return the investments in a period of 7–31 years. Additionally, three of the four variants show a sharp decrease in total CO2 emissions by eliminating the need for energy for daylighting and eliminating the consumption of electricity throughout the service life.
{"title":"Poly-Methyl-Methacrylate Rods in Light-Transmitting Concrete: A Critical Investigation into Sustainable Implementation","authors":"Adithya Shenoy, Gopinatha Nayak, Adithya Tantri, Kiran K. Shetty, Jasmin Anna Maxwell, B. H. Venkataram Pai, Laxman P. Kudva","doi":"10.3390/su16188033","DOIUrl":"https://doi.org/10.3390/su16188033","url":null,"abstract":"The development of special concrete focussed on sustainability and energy conservation has been approached through the use of recycled materials, novel techniques and processes, and materials that harness natural energy. This paper presents the results of one such study on the development of light-transmitting concrete using a novel polymeric transmitting media, poly-methyl-methacrylate, and a detailed analysis of the results obtained. Four variants based on the diameter and number of rods have been studied, with 5 and 10 mm diameter rods incorporated into 100 mm cube samples. A positive correlation between the area of rods and transmittance has been established; however, a loss in compressive and flexural strength was observed. Seasonal and monthly variation results indicate higher transmittance in summer, with the highest transmittance being observed in the month of May and the monsoon having the lowest transmittance, specifically in the month of July. The results of a case study of the application of the material have also been presented. The cost of construction has been studied, and the prediction of electricity consumption during operations has been carried out. The results have indicated the feasibility of use, even with the high initial cost. Variants have been shown to return the investments in a period of 7–31 years. Additionally, three of the four variants showed a sharp decrease in total CO2 emissions by eliminating the need for energy for daylighting and eliminating the consumption of electricity throughout the service life. Variants have been shown to return the investments in a period of 7–31 years. Additionally, three of the four variants show a sharp decrease in total CO2 emissions by eliminating the need for energy for daylighting and eliminating the consumption of electricity throughout the service life.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"26 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
Rui Wang, Zhanqiang Zhang, Keqilao Meng, Pengbing Lei, Kuo Wang, Wenlu Yang, Yong Liu, Zhihua Lin
Due to the volatility and intermittency of renewable energy, the integration of a large amount of renewable energy into the grid can have a significant impact on its stability and security. In this paper, we propose a tiered dispatching strategy for compressed air energy storage (CAES) and utilize it to balance the power output of wind farms, achieving the intelligent dispatching of the source–storage–grid system. The Markov decision process framework is used to describe the energy dispatching problem of CAES through the Actor–Critic (AC) algorithm. To address the stability and low sampling efficiency issues of the AC algorithm in continuous action spaces, we employ the deep deterministic policy gradient (DDPG) algorithm, a model-free deep reinforcement learning algorithm based on deterministic policy. Furthermore, the use of Neuroevolution of Augmenting Topologies (NEAT) to improve DDPG can enhance the adaptability of the algorithm in complex environments and improve its performance. The results show that scheduling accuracy of the DDPG-NEAT algorithm reached 91.97%, which was 15.43% and 31.5% higher than the comparison with the SAC and DDPG algorithms, respectively. The algorithm exhibits excellent performance and stability in CAES energy dispatching.
{"title":"Research on Energy Scheduling Optimization Strategy with Compressed Air Energy Storage","authors":"Rui Wang, Zhanqiang Zhang, Keqilao Meng, Pengbing Lei, Kuo Wang, Wenlu Yang, Yong Liu, Zhihua Lin","doi":"10.3390/su16188008","DOIUrl":"https://doi.org/10.3390/su16188008","url":null,"abstract":"Due to the volatility and intermittency of renewable energy, the integration of a large amount of renewable energy into the grid can have a significant impact on its stability and security. In this paper, we propose a tiered dispatching strategy for compressed air energy storage (CAES) and utilize it to balance the power output of wind farms, achieving the intelligent dispatching of the source–storage–grid system. The Markov decision process framework is used to describe the energy dispatching problem of CAES through the Actor–Critic (AC) algorithm. To address the stability and low sampling efficiency issues of the AC algorithm in continuous action spaces, we employ the deep deterministic policy gradient (DDPG) algorithm, a model-free deep reinforcement learning algorithm based on deterministic policy. Furthermore, the use of Neuroevolution of Augmenting Topologies (NEAT) to improve DDPG can enhance the adaptability of the algorithm in complex environments and improve its performance. The results show that scheduling accuracy of the DDPG-NEAT algorithm reached 91.97%, which was 15.43% and 31.5% higher than the comparison with the SAC and DDPG algorithms, respectively. The algorithm exhibits excellent performance and stability in CAES energy dispatching.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"12 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
The monitoring of maize health status is crucial for achieving sustainable agricultural development. Canopy nitrogen content (CNC) is essential for the synthesis of proteins and chlorophyll in maize leaves and, thus, significantly influences maize growth and yield. In this study, we developed a CNC spectral estimation model based on transform-based dynamic spectral indices (TDSI) and the random forest (RF) algorithm, enabling the rapid monitoring of CNC in maize canopy leaves. A total of 60 maize canopy leaf samples and the corresponding field canopy spectra were collected. Subsequently, the canopy spectra data were transformed using centralization transformation (CT), first derivative (D1), second derivative (D2), detrend transformation (DT), and min-max normalization (MMN) methods. Three types of band combination methods (band difference, band ratio, and normalized difference) were used to construct the TDSIs. Finally, the optimal TDSI was selected and used as the independent variable, and the measured CNC was used as the dependent variable to build a CNC spectral estimation model based on the RF algorithm. Results indicated that (1) TDSIs can more accurately characterize the CNC in maize, with a correlation coefficient approximately 102% higher than those of raw spectral bands. (2) The optimal TDSIs included TDSI1247,1249CT-RI, TDSI625,641CT-NDI, TDSI540,703D1-RI, TDSI514,540D1-RI, TDSI514,530D1-DI, TDSI540,697D1-NDI, TDSI970,1357D2-DI, TDSI523,1031D2-NDI, TDSI617,620DT-RI, and TDSI2109,2127MMN-NDI. (3) The CNC spectral estimation model based on the optimal TDSIs, and the RF algorithm achieved accuracy indices with R2 and RPIQ of 0.92 and 4.99, respectively, representing a maximum improvement of approximately 67.27% over the traditional CNC spectral estimation model (based on the R2 value). This study provides an approach for the rapid and accurate estimation of CNC in maize, contributing to the sustainable development of agriculture.
{"title":"Estimating the Canopy Nitrogen Content in Maize by Using the Transform-Based Dynamic Spectral Indices and Random Forest","authors":"Shuting Yang, Jianbei Li, Ji Li, Xuejian Zhang, Cong Ma, Zhengyu Liu, Mengyan Ren","doi":"10.3390/su16188011","DOIUrl":"https://doi.org/10.3390/su16188011","url":null,"abstract":"The monitoring of maize health status is crucial for achieving sustainable agricultural development. Canopy nitrogen content (CNC) is essential for the synthesis of proteins and chlorophyll in maize leaves and, thus, significantly influences maize growth and yield. In this study, we developed a CNC spectral estimation model based on transform-based dynamic spectral indices (TDSI) and the random forest (RF) algorithm, enabling the rapid monitoring of CNC in maize canopy leaves. A total of 60 maize canopy leaf samples and the corresponding field canopy spectra were collected. Subsequently, the canopy spectra data were transformed using centralization transformation (CT), first derivative (D1), second derivative (D2), detrend transformation (DT), and min-max normalization (MMN) methods. Three types of band combination methods (band difference, band ratio, and normalized difference) were used to construct the TDSIs. Finally, the optimal TDSI was selected and used as the independent variable, and the measured CNC was used as the dependent variable to build a CNC spectral estimation model based on the RF algorithm. Results indicated that (1) TDSIs can more accurately characterize the CNC in maize, with a correlation coefficient approximately 102% higher than those of raw spectral bands. (2) The optimal TDSIs included TDSI1247,1249CT-RI, TDSI625,641CT-NDI, TDSI540,703D1-RI, TDSI514,540D1-RI, TDSI514,530D1-DI, TDSI540,697D1-NDI, TDSI970,1357D2-DI, TDSI523,1031D2-NDI, TDSI617,620DT-RI, and TDSI2109,2127MMN-NDI. (3) The CNC spectral estimation model based on the optimal TDSIs, and the RF algorithm achieved accuracy indices with R2 and RPIQ of 0.92 and 4.99, respectively, representing a maximum improvement of approximately 67.27% over the traditional CNC spectral estimation model (based on the R2 value). This study provides an approach for the rapid and accurate estimation of CNC in maize, contributing to the sustainable development of agriculture.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"172 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
The purpose of this study is to conduct a literature review on urban last-mile logistics in the context of smart cities to help with defining the industry in new ways which involve space-wise innovations and the use of new technologies such as robotics, drones, IoT etc., toward a sustainable future. This literature review follows the SALSA approach and the CASP checklist, as well as several inclusion criteria for article collection. The results highlight the positive role of the industry 4.0 technologies and the role of smart cities in alleviating the last-mile logistics problem, while pinpointing that new initiatives such as dark stores and micro-fulfilment centers can also be a positive determinant of a more sustainable urban life. This is an original literature review which combines many important elements that come together in the context of smart cities and try to give some new perspectives to their last-mile logistics from viewpoints that have never been used before in similar research works. In addition, it can be used as a yardstick for future researchers who might try to dig dipper into the context of last-mile logistics, especially in smart cities.
{"title":"Sustainability and New Technologies: Last-Mile Delivery in the Context of Smart Cities","authors":"Karaoulanis Andreas","doi":"10.3390/su16188037","DOIUrl":"https://doi.org/10.3390/su16188037","url":null,"abstract":"The purpose of this study is to conduct a literature review on urban last-mile logistics in the context of smart cities to help with defining the industry in new ways which involve space-wise innovations and the use of new technologies such as robotics, drones, IoT etc., toward a sustainable future. This literature review follows the SALSA approach and the CASP checklist, as well as several inclusion criteria for article collection. The results highlight the positive role of the industry 4.0 technologies and the role of smart cities in alleviating the last-mile logistics problem, while pinpointing that new initiatives such as dark stores and micro-fulfilment centers can also be a positive determinant of a more sustainable urban life. This is an original literature review which combines many important elements that come together in the context of smart cities and try to give some new perspectives to their last-mile logistics from viewpoints that have never been used before in similar research works. In addition, it can be used as a yardstick for future researchers who might try to dig dipper into the context of last-mile logistics, especially in smart cities.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"9 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
Mustafa Muthanna Najm Shahrabani, Rasa Apanaviciene
The integration of smart buildings (SBs) into smart cities (SCs) is critical to urban development, with the potential to improve SCs’ performance. Artificial intelligence (AI) applications have emerged as a promising tool to enhance SB and SC development. The authors apply an AI-based methodology, particularly Large Language Models of OpenAI ChatGPT-3 and Google Bard as AI experts, to uniquely evaluate 26 criteria that represent SB services across five SC infrastructure domains (energy, mobility, water, waste management, and security), emphasizing their contributions to the integration of SB into SC and quantifying their impact on the efficiency, resilience, and environmental sustainability of SC. The framework was then validated through two rounds of the Delphi method, leveraging human expert knowledge and an iterative consensus-building process. The framework’s efficiency in analyzing complicated information and generating important insights is demonstrated via five case studies. These findings contribute to a deeper understanding of the effects of SB services on SC infrastructure domains, highlighting the intricate nature of SC, as well as revealing areas that require further integration to realize the SC performance objectives.
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Electric road systems (ERSs) are a group of technologies that allow powering adequately equipped road transport vehicles with electricity from the road infrastructure while in motorway traffic. They can be categorised into three technology groups: overhead catenary, ground conductive, and ground inductive, depending on the mode of power transfer used. The supplied energy is used for propulsion and for charging the vehicle batteries to be used once the vehicle leaves the electrified road section. Also, another energy source, e.g., diesel, natural gas, or hydrogen, can be used while away from the ERS. This research investigates the potential impacts of implementing the different ERS technologies on the Rotterdam–Antwerp motorway corridor that links the two largest ports in Europe. The aim is to identify which of the routes between the ports is best suited for the implementation of an ERS, whether there are substantial differences in the economic performance of the different ERS technologies, determine what ERS vehicle traffic volumes are required and potentially available for successful implementation, what investment is required to build the system and whether the ERS operator can be profitable, and whether transport operators could operate their trucks on ERS profitability in this corridor setting. The research shows that the route between Rotterdam and Antwerp that runs on motorway E19 is the best to be electrified from an economic standpoint. Our calculations show that the traffic on the Rotterdam–Antwerp corridor is sufficient for economically justifying ERS infrastructure rollout and operation. For transport operators who happen to have specific client bases, e.g., those who usually serve clients from one of the ports along the electrified route, the construction of an ERS on the route could prove to be very lucrative if they adopt the technology early.
电动道路系统（ERS）是一组技术，可在高速公路交通中利用道路基础设施提供的电力为装备齐全的道路运输车辆供电。根据所使用的电力传输模式，它们可分为三类技术：架空导线、地面传导和地面感应。提供的能量用于车辆的推进和充电，一旦车辆驶离电气化路段即可使用。此外，在离开 ERS 时，还可以使用另一种能源，如柴油、天然气或氢气。本研究调查了在连接欧洲两大港口的鹿特丹-安特卫普高速公路走廊上采用不同的 ERS 技术可能产生的影响。其目的是确定港口之间的哪条路线最适合实施 ERS，不同 ERS 技术的经济性能是否存在实质性差异，确定成功实施 ERS 所需和可能获得的 ERS 车辆流量，建立该系统所需的投资，ERS 运营商是否能够盈利，以及运输运营商是否能够在该走廊环境中通过 ERS 盈利。研究表明，从经济角度来看，鹿特丹和安特卫普之间的 E19 高速公路是最适合电气化的路线。我们的计算显示，鹿特丹-安特卫普走廊的交通量足以从经济角度证明 ERS 基础设施的推广和运营是合理的。对于拥有特定客户群的运输运营商而言，例如那些通常为电气化路线沿线某个港口的客户提供服务的运营商，如果能尽早采用该技术，在该路线上建设 ERS 将会非常有利可图。
{"title":"Economic Impacts of the Electric Road System Implementation on the Rotterdam–Antwerp Corridor","authors":"Raimonds Aronietis, Thierry Vanelslander","doi":"10.3390/su16188029","DOIUrl":"https://doi.org/10.3390/su16188029","url":null,"abstract":"Electric road systems (ERSs) are a group of technologies that allow powering adequately equipped road transport vehicles with electricity from the road infrastructure while in motorway traffic. They can be categorised into three technology groups: overhead catenary, ground conductive, and ground inductive, depending on the mode of power transfer used. The supplied energy is used for propulsion and for charging the vehicle batteries to be used once the vehicle leaves the electrified road section. Also, another energy source, e.g., diesel, natural gas, or hydrogen, can be used while away from the ERS. This research investigates the potential impacts of implementing the different ERS technologies on the Rotterdam–Antwerp motorway corridor that links the two largest ports in Europe. The aim is to identify which of the routes between the ports is best suited for the implementation of an ERS, whether there are substantial differences in the economic performance of the different ERS technologies, determine what ERS vehicle traffic volumes are required and potentially available for successful implementation, what investment is required to build the system and whether the ERS operator can be profitable, and whether transport operators could operate their trucks on ERS profitability in this corridor setting. The research shows that the route between Rotterdam and Antwerp that runs on motorway E19 is the best to be electrified from an economic standpoint. Our calculations show that the traffic on the Rotterdam–Antwerp corridor is sufficient for economically justifying ERS infrastructure rollout and operation. For transport operators who happen to have specific client bases, e.g., those who usually serve clients from one of the ports along the electrified route, the construction of an ERS on the route could prove to be very lucrative if they adopt the technology early.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"10 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142180758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
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