bluuebunny/crossref_metadata_2025 huggingface dataset:
How Upgrading of Provincial Development Zones Reduces Urban Carbon Emission: Evidence from a Time-Varying DID Analysis
Authors: Xu Long , Zhou Jiayi , Liu Yuan
Published: October 2024

This study examines the impact of upgrading provincial development zones on urban carbon emission reduction in China, a vital policy instrument for achieving the nation’s dual objectives of economic growth and green development under the “carbon neutrality and carbon peak” framework. Utilizing panel data from 276 Chinese cities spanning 2006 to 2019, this study employs a time-varying difference-in-differences model to empirically assess the effects of these upgrades. The findings indicate that these upgrades significantly reduce urban carbon emissions through policy, agglomeration, and regulatory effects. The heterogeneity analysis further reveals that the policy’s effectiveness is amplified by higher levels of government participation, increased attention to environmental protection, and greater urban emission reduction pressures. Moreover, while the policy facilitates carbon emission reductions in neighboring cities through spatial spillover effects, it does not achieve synergistic control over multiple pollutants, showing no significant impact on other industrial pollutants emissions. These findings provide value insights for policymakers aiming to balance economic development with environmental sustainability.
A Combined Experimental and Computational Study on the Effect of the Reactor Configuration and Operational Procedures on the Formation, Growth and Dissociation of Carbon Dioxide Hydrate
Authors: Tallarou Chrysoula , Labropoulos Anastasios , Stavropoulos Stavros , Pasadakis Nikos , Stamatakis Emmanuel , Bellas Spyros , Gholami Raoof , Yentekakis Ioannis V.
Published: October 2024

Clathrate hydrate-based technologies are considered promising and sustainable alternatives for the effective management of the climate change risks related to emissions of carbon dioxide produced by human activities. This work presents a combined experimental and computational investigation of the effects of the operational procedures and characteristics of the experimental configuration, on the phase diagrams of CO2-H2O systems and CO2 hydrates’ formation, growth and dissociation conditions. The operational modes involved (i) the incremental (step-wise) temperature cycling and (ii) the continuous temperature cycling processes, in the framework of an isochoric pressure search method. Also, two different high-pressure PVT configurations were used, of which one encompassed a stirred tank reactor and the other incorporated an autoclave of constant volume with magnetic agitation. The experimental results implied a dependence of the subcooling degree, (P, T) conditions for hydrate formation and dissociation, and thermal stability of the hydrate phase on the applied temperature cycling mode and the technical features of the utilized PVT configuration. The experimental findings were complemented by a thermodynamic simulation model and other calculation approaches, with the aim to resolve the phase diagrams including the CO2 dissolution over the entire range of the applied (P, T) conditions.
APD-YOLOv7: Enhancing Sustainable Farming through Precise Identification of Agricultural Pests and Diseases Using a Novel Diagonal Difference Ratio IOU Loss
Authors: Li Jianwen , Liu Shutian , Chen Dong , Zhou Shengbang , Li Chuanqi
Published: October 2024

The diversity and complexity of the agricultural environment pose significant challenges for the collection of pest and disease data. Additionally, pest and disease datasets often suffer from uneven distribution in quantity and inconsistent annotation standards. Enhancing the accuracy of pest and disease recognition remains a challenge for existing models. We constructed a representative agricultural pest and disease dataset, FIP6Set, through a combination of field photography and web scraping. This dataset encapsulates key issues encountered in existing agricultural pest and disease datasets. Referencing existing bounding box regression (BBR) loss functions, we reconsidered their geometric features and proposed a novel bounding box similarity comparison metric, DDRIoU, suited to the characteristics of agricultural pest and disease datasets. By integrating the focal loss concept with the DDRIoU loss, we derived a new loss function, namely Focal-DDRIoU loss. Furthermore, we modified the network structure of YOLOV7 by embedding the MobileViTv3 module. Consequently, we introduced a model specifically designed for agricultural pest and disease detection in precision agriculture. We conducted performance evaluations on the FIP6Set dataset using mAP75 as the evaluation metric. Experimental results demonstrate that the Focal-DDRIoU loss achieves improvements of 1.12%, 1.24%, 1.04%, and 1.50% compared to the GIoU, DIoU, CIoU, and EIoU losses, respectively. When employing the GIoU, DIoU, CIoU, EIoU, and Focal-DDRIoU loss functions, the adjusted network structure showed enhancements of 0.68%, 0.68%, 0.78%, 0.60%, and 0.56%, respectively, compared to the original YOLOv7. Furthermore, the proposed model outperformed the mainstream YOLOv7 and YOLOv5 models by 1.86% and 1.60%, respectively. The superior performance of the proposed model in detecting agricultural pests and diseases directly contributes to reducing pesticide misuse, preventing large-scale pest and disease outbreaks, and ultimately enhancing crop yields. These outcomes strongly support the promotion of sustainable agricultural development.
Emergy-Based Evaluation of Xiaolangdi Reservoir’s Impact on the Ecosystem Health and Services of the Lower Yellow River
Authors: Zhang Xiangping , Wang Yuanjian , Li Junhua , Zhang Yanhui , Zhang Shuping
Published: October 2024

The disturbance in river ecosystems caused by reservoirs and dams has become a critical topic, attracting increasing attention. However, the extent to which reservoir and dam construction and operation impact downstream river ecosystem health and ecosystem service functions is not fully understood. This research examines the Xiaolangdi Reservoir and the Lower Yellow River (LYR) ecosystem in China as a case study. We analyzed the complex material and energy flows in the LYR ecosystem using emergy theory and developed a set of emergy-based indicators for the quantitative assessment of river ecosystem health and services under reservoir operation interference. The results indicate that the total natural capital and environmental endowments of the LYR ecosystem have remained relatively stable after the operation of the Xiaolangdi Reservoir, with an increase in renewable emergy input. The ecosystem’s vigor decreased slightly, while the biomass emergy diversity index remained stable. However, the total emergy inputs increased significantly, with external feedback inputs becoming the most important emergy source for the LYR ecosystem. The resilience of the LYR ecosystem improved, with a significant increase in emergy density and a decrease in the emergy sustainability index. These findings suggest that although the river ecosystem continues to provide supporting services to human society, the extent of these services has diminished compared to pre-perturbation levels. In this research, a methodology for analyzing the impact of key reservoir operations on the ecosystem health and services of a large river is proposed to provide support for large river sustainable development studies.
Planting for the Urban Rain—Vegetation in Urban Bioretention Systems for Stormwater Management under Temperate Climate Conditions—A Systematic Review
Authors: Corduan Daniela , Kühn Norbert
Published: October 2024

Weather extremes such as heavy rainfall and long periods of drought brought about by climate change put a strain on the environment and people. Cities can counter these weather extremes with blue-green infrastructure, usually focusing on plant-based solutions. The ecosystem services of plants offer added value to these systems. Bioretention systems are a central element of rainwater management, and pioneering research into the role of vegetation in bioretention systems has taken place in the USA and Australia. There are comparatively few publications from Europe. A systematic literature search was carried out in Web of Science using the PRISMA model. A search was made for articles that investigated the use of plants in bioretention systems in order to obtain information on practices and their use in the temperate climate of Central Europe. A strength of this review is the compilation of all species used and their reported vitality. A total of 391 taxa were described in the journals. For almost all plant species, their vitality, performance, or function in bioretention systems was only documented once. Only Carex appressa, Juncus effusus, and Panicum virgatum were examined multiple times. Of particular importance are the functional characteristics observed, which determine the survival of the plants and their ecosystem services for this application. An understanding of functional traits can be of particular assistance in selecting the right plants to optimize stormwater management.
Methodological and Practical Basis for the Formation of a Matrix of Attractiveness of Tourist Sites and Its Role in the Process of Implementing Educational Tourism in the Education System of Higher Education Students
Authors: Mamrayeva Dinara Gabitovna , Tashenova Larissa Vladimirovna
Published: October 2024

The article develops a methodological and practical basis for assessing the attractiveness of regional tourist sites from the point of view of educational tourism. An assessment methodology was created, including groups of criteria and sub-criteria (6 and 53, respectively), selected based on expert evaluation; a matrix was formed, allowing us to calculate integral indicators step by step, which was tested on the example of 50 objects of five regions of Kazakhstan (Central, Northern, Southern, Western and Eastern). In addition, the article implements hierarchical cluster analysis on three blocks of parameters: the first—indicators characterizing the level of education development in the context of 17 regions and 3 cities of republican significance; the second—indicators reflecting the cultural development of the country’s regions; the third—parameters showing the level of development of tourism activities in the regions of Kazakhstan, which allowed us to obtain three clusters that can be used to develop recommendations for the development of education in the regions of Kazakhstan. As a conceptual complementary component of the system of implementation of educational tourism, an audio guide “Tourist sites of Karaganda” was developed and uploaded on the izi.Travel platform.
Development of E-Tourism to Achieve Excellence and Sustainable Development in Tourism: Ha’il Region Case Study
Authors: Bahou Younès , Triki Rabab , Maâloul Mohamed Hédi , Tissaoui Kais
Published: October 2024

E-tourism is one of the most important levers for social and economic development. The World Tourism Organization (UNWTO) has declared 2017 the year of sustainable tourism for development. When relying on sophisticated communication technologies. Certainly, these innovations in the field of this analysis aim to determine the main factors of e-tourism achieving excellence in tourism in the Ha’il region. Tourism has disrupted this sector with new and different dimensions of tourism development. This has led various regions and countries to accelerate the search for the tools necessary to achieve excellence and sustainable development in tourism. This research aims to study the development factors of e-tourism to achieve excellence and sustainable development in the tourism of the Ha’il region. Therefore, the gap in this research is represented by the lack of a comprehensive analysis of the interaction between e-tourism development factors and factors that promote tourism excellence in the Ha’il region to achieve sustainable development. For this reason, we applied two analyses: in the first one, we used a statistical analysis based on the survey sent to 500 employees from tourism companies. This analysis aimed to determine the main factors that influence e-tourism to achieve excellence in tourism in the Ha’il region. The results of the statistical analysis gave us the following elements: There are only four main factors that allow authorities to achieve excellence in tourism in the Ha’il region, namely Supporting Technology (ST), Competition Pressure (CP), Human Resource Skills (HRS), and Socio-Cultural (SC) factors. Then, we proceed with a second analysis to determine the main factors of excellence in tourism that drive the achievement of sustainable development in tourism in the Ha’il region. For this reason, we applied an artificial intelligence method based on the unsupervised machine learning technique. The results obtained from the machine learning technique show that five factors determine the excellence in tourism and reveal the sustainable development of Ha’il’s tourism. These factors are ST, CP, Financial Performance (FP), HRS, and Government Commitment (GC). Consequently, we consider that all the factors found in both analyses are important to realise excellence in tourism and sustainable development in tourism. However, to achieve sustainable development in tourism in Ha’il, Saudi authorities must develop the three common factors found in the two analyses, namely ST, CP, and HRS. Therefore, this study is expected to help introduce ways of excellence in e-tourism by marketing it using artificial intelligence, enabling the development of the tourism sector in an enormous area. It will also contribute significantly to the formulation of plans, policies, and strategies that will largely ensure the development of Ha’il’s tourism sector.
SmartISM 2.0: A Roadmap and System to Implement Fuzzy ISM and Fuzzy MICMAC
Authors: Ahmad Naim
Published: October 2024

Interpretive structural modeling (ISM) is a widely used technique to establish hierarchical relationships among a set of variables in diverse domains, including sustainability. This technique is generally coupled with MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)) to classify variables in four clusters, although the manual application of the technique is complex and prone to error. In one of the previous works, a novel concept of reduced conical matrix was introduced, and the SmartISM software was developed for the user-friendly implementation of ISM and MICMAC. The web-based SmartISM software has been used more than 48,123 times in 87 countries to generate ISM models and MICMAC diagrams. This work attempts to identify existing approaches to fuzzy ISM and fuzzy MICMAC and upscale the SmartISM to incorporate fuzzy approaches. The fuzzy set theory proposed by Zadeh 1965 and Goguen 1969 helps the decision makers to provide their input with the consideration of vagueness in the real environment. The systematic review of 32 studies identified five significant approaches that have used different linguistic scales, fuzzy numbers, and defuzzification methods. Further, the approaches have differences in either using single or double defuzzification, and the aggregation of inputs of decision makers either before or after defuzzification, as well as the incorporation of transitivity either before or after defuzzification. A roadmap was devised to aggregate and generalize different approaches. Further, two of the identified approaches have been implemented in SmartISM 2.0 and the results have been reported. Finally, the comparative analysis of different approaches using SmartISM 2.0 in the area of digital transformation shows that, with a wide flexibility of fuzzy scales, the results converge and improve the confidence in the final model. The roadmap and SmartISM 2.0 will help in the implementation of fuzzy ISM and fuzzy MICMAC in a more robust and informed way.
Identifying the Key Drivers in Energy Technology Fields: The Role of Spillovers and Public Policies
Authors: Balcilar Mehmet , Agan Busra
Published: October 2024

This study investigates the salient roles of knowledge spillover and environmental policies on clean technology innovation. Employing a panel vector autoregressive model (PVAR) and connectedness network analysis with a comprehensive longitudinal dataset comprising 100 million patent documents across 26 countries, the study identifies clean technology fields that are most efficient in driving innovation and subsequently quantifies the spillover effects for each field. The impact of public environmental policies and regulations on clean technological innovations is also examined in depth. The results reveal that clean innovation is a complex and nuanced system, with significant knowledge spillovers occurring within and across energy and non-energy-related clean technology fields. The results also show that environmental policies significantly influence clean innovation, with technology support and adoption support policies having the most substantial impact. Furthermore, the results reveal that the impact of market-based policies on clean innovation is weaker than that of non-market-based policies, which is an important consideration for policymakers. The findings hold significance for policymakers in addressing sustainability goals and their implications.
Is Business Sustainability Possible? The Moderating Role of Place of Work in the Relationship between Hotel Safety Culture, Job Satisfaction, Organizational Commitment and Customer-Oriented Behavior: A Cross-Regional Study
Authors: Dağlı Erkan , Gecikli Recep Murat , Turan Orhan , Orgun Emrah , Unal Aydin , Bayram Fuat , Isin Alper , Yayla Ozgur
Published: October 2024

Safety culture is a key feature between employees’ job performance and organizational commitment. Hotel businesses are an important component of the service sector, and a customer-oriented approach in these businesses increases organizational performance. Therefore, the increased organizational commitment of employees plays an important role in the implementation of a customer-oriented approach. In this study, hotel safety culture, which is one of the important factors for business performance sustainability, is examined. In addition, the effect of hotel safety culture on job satisfaction, organizational commitment and customer-oriented behavior is examined. In this context, the research data were collected from the employees of 5-star hotels operating in Antalya and Doha through a questionnaire. The data were analyzed using PLS-SEM 4.0. As a result of the research, some significant effects were found between the variables in the hypothetical research model. Based on the results obtained, theoretically, in support of the studies in the literature, a positive relationship was found between perceived safety culture and employees’ job performance. Accordingly, as practical suggestions, it is recommended that hotel managers take measures to increase the safety culture (staff training, increasing physical measures, making warning signs visible, etc.).
Effects of Social Capital on the Adoption of Green Production Technologies by Rice Farmers: Moderation Effects Based on Risk Preferences
Authors: Liu Bo , Li Na , Liao Cairong
Published: October 2024

In the context of global climate change and energy and resource scarcity, understanding the factors that influence the adoption of green production technology by rice farmers and promoting a transformation in agricultural practices towards low-carbon and environmentally friendly methods represent a crucial step towards achieving sustainable development. This study employs an ordered logit model to comprehensively explore the influence mechanism of social capital and risk preference within the adoption of green production technology by rice farmers. Research indicates that social capital can significantly and positively affect rice farmers’ uptake of green production technology. Among various dimensions, it can be seen that the role of social participation emerges as a particularly salient factor. The analysis of risk preference demonstrates that it exerts a negative moderating influence. The heterogeneity analysis results indicate that new-generation and part-time rice farmers prefer adopting new technologies if they possess higher social capital. In light of the findings above, it is recommended that the organizational support of cooperatives and collective action be reinforced; the use of digital technologies in agriculture should be increased; the livelihood changes of rice farmers be considered to meet their heterogeneous needs accurately; and the integration of carbon emission reduction policies and green production technologies be strengthened to promote the widespread adoption of green technologies among rice farmers.
Firm-Level Digitalization for Sustainability Performance: Evidence from Ningbo City of China
Authors: Shao Xuemei , Ahmad Munir , Javed Fahad
Published: October 2024

Climate change is a significant and urgent threat, gaining traction in the scientific community around the globe and requiring immediate action across many sectors. In this context, the digital economy could provide a mutually beneficial solution by utilizing innovation and technical breakthroughs to establish a sustainable future that addresses environmental deterioration, promotes economic growth, and encourages energy conservation. Against this background, this study examined the diffusion of innovation modeling-based factors affecting small and medium-sized firms’ (SMFs) adoption of the Internet of Things (IoT) technology and its impact on SMFs’ sustainability performance related to environmental, economic, innovation, and energy conservation perspectives. The key findings revealed that (i) the relative advantage, trialability, and observability drive IoT adoption. However, compatibility and complexity hinder IoT adoption. (ii) When prioritizing the adoption factors, the relative benefit is the strongest driver, and compatibility is the most significant barrier to IoT adoption. (iii) IoT technology adopter SMFs spent less on natural resources and more on renewable energy and environmental monitoring systems than non-adopter firms, boosting their environmental sustainability. (iv) IoT technology adopter firms had greater revenue, profits, and credit access than non-adopters and lower input costs, improving their economic sustainability. (v) IoT adopter firms spent more on innovative products than non-adopter enterprises, demonstrating innovation performance. (vi) Compared to non-adopter firms, IoT technology adopter SMFs had lower utility expenses and spent more on energy-efficient technologies. (vii) To realize the full potential of the IoT for a more sustainable and inventive future, authorities may pursue a variety of policy actions involving the strengthening and implementation of IoT technology standards and regulations, securing the incentivization of financial resources to SMFs, diverting the allocation of resources to research and development avenues, prioritizing the capacity development and environmental awareness, and focusing on IoT infrastructure development.
Is Public Participation Weak Environmental Regulation? Experience from China’s Environmental Public Interest Litigation Pilots
Authors: Zhao Mengchan , Cheng Yangyang
Published: October 2024

Previous studies have generally concluded that public participation lacks substantive constraints and has weak environmental regulation effects. Using China’s environmental public interest litigation (EPIL), implemented in 2015, as a quasi-natural experiment to verify the environmental effects of public participation under judicial norms, the difference-in-differences (DID) estimates in this paper show that industrial wastewater and industrial sulfur dioxide (SO2) emissions in the treated cities declined by an average of 2.76 million tons and 2.51 kilotons per year, respectively, which ultimately improved the city’s environmental quality. The results of the mechanism also show that the EPIL was able to mobilize all three parties: the public, government and enterprises. In the context of the environment as an externality product, where the interests of all the parties are difficult to coordinate, the EPIL has the advantage of overcoming conflicts of interest. Our study provides a quantitative justification for the environmental impact assessment of public litigation and contributes empirical references to overcome the weak binding defect of public participatory environmental regulation.
Transformational Environmental Leadership and Corporate Social Responsibility as Triggers of Competitive Advantage and Sustainable Performance in Environmentally Certified Companies in Mexico
Authors: Ramírez-Altamirano Dailin Alejandra , Sánchez-Medina Patricia S. , Díaz-Pichardo René , Suárez-Barraza Manuel F.
Published: October 2024

This research proposes a model to assess the impacts of transformational environmental leadership and corporate social responsibility on sustainable performance with the mediating effect of competitive advantage in environmentally certified companies in Mexico. Based on a literature review, a measurement instrument was created to evaluate the variables in the model. The sample is composed of 150 certified companies from 29 states. We used factor analysis and path analysis for hypothesis testing. We observed that transformational environmental leadership facilitates the internal changes and decision-making necessary to implement corporate social responsibility practices, develop competitive advantages, and improve sustainable performance. We also observed a positive relationship between competitive advantage and sustainable performance. From a transformational environmental leadership perspective, this study is helpful for researchers, industry experts, policymakers, and managers interested in voluntary environmental certifications in emerging economies. The research model implies a way to strengthen companies’ competitive advantage and sustainable performance through transformational environmental leadership and corporate social responsibility.
The Impact of Tea Farmers’ Cognition on Green Production Behavior in Jingmai Mountain: Chain Mediation by Social and Personal Norms and the Moderating Role of Government Regulation
Authors: Xianyu Yingzhou , Long Hua , Wang Zhifeng , Meng Long , Duan Feiyu
Published: October 2024

China’s agricultural sector faces significant challenges, including fragmented farming practices, limited farmer knowledge of sustainable production, and outdated pest control technologies. These issues result in improper fertilization, pesticide application, and disposal of agricultural inputs, contributing to agricultural non-point source pollution and hindering the transition to a green economy. Thus, promoting green production behavior among farmers is critical for achieving carbon peaking, carbon neutrality, and harmonious coexistence between humans and nature. However, the existing literature on this topic is still relatively scarce. This study aims to investigate the impact of farmers’ cognition on their green production behavior (GPB). Considering the role of policy, this study also examines the moderating effect of government regulation in this relationship. An analysis of 306 survey responses from tea farmers in Jingmai Mountain, Pu’er City, Yunnan Province, reveals that farmers’ cognition exerts a significant and positive impact on GPB. Social norms and personal norms serve as chain mediators in the relationship between farmers’ cognition and GPB. Moreover, government regulation moderates the influence of farmers’ cognition on social norms, further amplifying its impact on them. This study advances the theoretical understanding of farmers’ behavior and offers practical insights for fostering the sustainable development of the tea industry.
The Effect of Urban–Rural Fringe Landscape Environment Enhancement on the Settlement Intentions of Young Talents
Authors: Tang Ruomei , Peng Xiangbin
Published: October 2024

As new urbanization and rural revitalization strategies are implemented, the relationship between urban and rural areas is rapidly changing. Accordingly, rural landscape design is becoming increasingly important for promoting rural development. Located at the intersection of urban and rural areas and offering unique geographic characteristics and developmental potential, urban–rural fringe villages offer a valuable setting for assessing how rural transformation and landscape improvement influence the settlement intentions of regional talents. Drawing upon the Landscape Affordance Theory and the Stimulus–Organism–Response Theory, this study develops a model to evaluate how enhancements in comfort, convenience, safety, and aesthetics within rural landscapes influence the perceptions of livability and settlement intentions of young rural talents. The research utilizes a survey of residents aged 16 to 45 in representative urban–rural fringe villages in Nanjing, Jiangsu Province, collecting 230 valid responses. Data analysis was performed using SPSS 26 and AMOS 28 to assess the impact of these landscape attributes on livability perceptions and settlement intentions. This study demonstrates that Perceived Convenience (PCV) and Perceived Aesthetics (PA) have significant positive effects on Design Satisfaction (DS) and Perceived Livability (PL). The research identifies the positive impacts of the four characteristics of rural landscape enhancement on PL, ranking them in order of influence: PCV > PA > Perceived Safety (PS) > Perceived Comfort (PC). Similarly, the positive effects on DS are ranked as follows: PCV > PA > PC. PL is identified as having the strongest impact on Talents’ Intention to Stay (TIS), indicating that improving livability perceptions is crucial for enhancing both design satisfaction and settlement intentions. Our findings demonstrate that improvements to the convenience, comfort, aesthetics, and safety of the landscape environment can significantly affect the settlement intentions of young talents in rural areas. Through field research and empirical data validation, this study highlights the positive effect of enhancements in four key areas of landscape design on the perceived livability and settlement intentions of young talents in rural settings, offering clear guidance for rural planning and design initiatives.
Modeling Urban Temperature Using Measurements from Mobile and Stationary Monitoring Stations
Authors: Lee Jeongseop , Kim Sanghyun
Published: October 2024

Heat waves are occurring more frequently worldwide as global warming continues, and urban heat islands can threaten conventional life in cities. Measuring, analyzing, and simulating weather data at fine spatial and temporal scales are essential to prevent and reduce the damage caused by extreme heat waves. In urban environments, handling complex micrometeorological situations using current meteorological stations and global simulation models (e.g., weather research forecasting models) is challenging. In this study, the thermal environments of urban areas were measured using a mobile meteorological measurement platform. Both mobile and stationary datasets were incorporated into the meteorological modeling process to simulate the spatial and temporal distribution of temperature. Additionally, various mobile observation implementation scenarios for temperature modeling were examined. We compared simulation combinations with the temperature field generated from the total dataset to obtain a better sampling campaign and properly incorporate mobile data scenarios. When collecting mobile data, it is important to consider spatial features to improve the efficiency of sampling programs. This can substantially reduce the cost of mobile data collection, together with the sensor error bound.
Research Status and Evolutionary Trends of Digitally Empowered Community Emergency Management: Knowledge Graph Analysis Based on CiteSpace
Authors: Wei Bin , Bai Yike , Liang Liying , Yang Shunqing
Published: October 2024

(1) Background: With the acceleration of globalization, various risks are intertwined and coupled, and community emergency management is facing greater pressure than before. The continuous development of digital technology has made it possible to empower community emergency management with digital technology. Therefore, it is urgent to have a clear understanding of the research status and future development direction of digital empowering community emergency management. (2) Methods: This study is based on the Web of Science database and utilizes the CiteSpace knowledge graph visualization method to analyze the research progress of community digital emergency management. (3) Results: The results indicate that from 2000 to 2024, the amount of research on community digital emergency management has been on the rise, involving multiple disciplines, but there has not been a close and mature cooperation network between different countries, institutions, and authors. The research topic has shifted from early single-emergency management to integration with emerging science and technology, with a greater emphasis on the role of communities. Big data, machine learning, technological innovation, digital healthcare, and community resilience are important research directions for the future. (4) Conclusions: In the future, we should strengthen cooperation in this field, overcome issues such as the digital divide and digital security, and promote further development of community digital emergency management.
Management of the Territory Restoration Process Following a Disaster: The Case of the South Moravian Region in the Czech Republic
Authors: Hromádka Vít , Helešicová Barbora , Nováková Jana
Published: October 2024

The article presents a methodology for the management of repairs to property damaged by a disaster. The article describes the procedure for the development of an organizational layout, along with planning and managing activities leading to the restoration of damaged property. Last but not least, the article deals with financial planning. The methodology presented was applied to a case study that was conducted in the village of Hrušky, South Moravian region, the Czech Republic, which was hit by a tornado in 2021. More than three years have passed since this tragedy, and repairs to the village’s property are still planned to continue until the middle of 2025. Qualitative approaches to data collection and evaluation were used for data collection, especially in-depth interviews related to the given issue. The mayor of the village, the village management, and representatives of construction companies were involved in the in-depth interviews. Another important source of data was the project documentation and the municipality’s accounting records. The main outputs include a list of construction works, which served as a basis for the financial damages; the municipality’s participation in state subsidy programs for the financing of the restoration; and, last but not least, a list of works that was used to create the project documentation for the reconstruction of individual buildings. Other outputs of the work include a structural plan, which has been developed for the purposes of planning and managing activities leading to the restoration of the damaged area, and a financial plan, which contains information on expenses and funding sources. The key contribution of the paper is a methodical procedure for the identification, the design, and the execution of crucial activities connected with the restoration of the territory after a disaster. The methodological procedure is designed considering the experience associated with a specific disaster, namely, a tornado in the southeastern part of the Czech Republic, which served as the basis for this case study.
The Evolution of Educating for Sustainable Development in East Asia: A Bibliometric Review, 1991–2023
Authors: Hallinger Philip , Jayaseelan Sujitra , Speece Mark W.
Published: October 2024

This systematic review addressed the need for documentation and analysis of the scope and topical foci of research on education for sustainable development (ESD) in East Asia. The review used descriptive, content, and keyword co-occurrence analyses to synthesize features of 1915 Scopus-indexed journal articles published between 1991 and 2023. The authors found that research interest in ESD in East Asia has grown rapidly, accelerated by the pronouncement of the United Nations Decade of Education for Sustainable Development in 2005 and the Sustainability Agenda 2030 in 2015. Researchers in China, Malaysia, Japan, South Korea, Indonesia, and Thailand have been the leading contributors to this regional knowledge base. Consistent with global ESD reviews, content analysis revealed that this literature emerged from studies of environmental education and gradually expanded to include sociocultural, economic, and integrated perspectives on sustainability. Keyword co-occurrence analysis revealed three thematic clusters: Environmental Sustainability in Education, Social Sustainability in Education, and Teaching and Learning for Sustainability. Temporal co-word analysis highlighted the research front, which includes environmental research focusing on carbon/energy issues, technology-enhanced learning for sustainability, empirical research methods for studying ESD, and, to a lesser degree, studies of the economic pillar of sustainability in education. Recommendations are offered for future research.
A Survey of Middleware Adoption in Nonprofit Sectors: A Sustainable Development Perspective
Authors: Almadani Basem , Alissa Sarah , Alshareef Reem , Aliyu Farouq , Al-Nahari Esam
Published: October 2024

Nonprofit Organizations (NPOs) are adopting technology to improve their quality of services, scale up, or reduce operation costs. However, due to the heterogeneity of systems they use, NPOs face system-integration challenges when collaborating with other organizations. Middleware is an intermediary software that assists dissimilar systems in working together. This paper explores middleware applications, opportunities, and challenges within the sector. It extensively reviewed the current state of research on middleware usage in the nonprofit sector for all papers published in Scopus and Web of Science (WoS) until 2023. Out of 127 papers returned, only 31 remained after removing duplicates, invalid entries, and out-of-scope publications. Then, we synthesized insights from a thorough survey of these selected papers. In light of the survey results, we observed that NPOs primarily use middleware in a few of the Sustainable Development Goals (SDGs), namely, health (SDG 3), NPO operations (SDG 8 and 9), NPO collaborations (SDG 17), development of sustainable cities (SDG 11), security and disaster management (SDG 16), and education (SDG 4). We also identified several challenges related to using middleware in the nonprofit sector, which include privacy, security, system development and performance, data processing and transfer, and volunteer attrition.
Autonomous Generation of a Public Transportation Network by an Agent-Based Model: Mutual Enrichment with Knowledge Graphs for Sustainable Urban Mobility
Authors: Chambers Flann , Di Marzo Serugendo Giovanna , Cruz Christophe
Published: October 2024

Sound planning for urban mobility is a key facet of securing a sustainable future for our urban systems, and requires the careful and comprehensive assessment of its components, such as the status of the cities’ public transportation network, and how urban planners should invest in developing it. We use agent-based modelling, a tried and true method for such endeavours, for studying the history, planned future works and possible evolution of the tram line network in the Greater Geneva region. We couple these models with knowledge graphs, in a way that both are able to mutually enrich each other. Results show that the information organisation powers of knowledge graphs are highly relevant for effortlessly recounting past events and designing scenarios to be directly incorporated inside the agent-based model. The model features all 5 tram lines from the current real-world network, servicing a total of 15 communes. In turn, the model is capable of replaying past events, predicting future developments and exploring user-defined scenarios. It also harnesses its self-organisation properties to autonomously reconstruct an artificial public transportation network for the region based on two different initial networks, servicing up to 29 communes depending on the scenario. The data gathered from the simulation is effortlessly imported back into the initial knowledge graphs. The artificial networks closely resemble their real-world counterparts and demonstrate the predictive and prescriptive powers of our agent-based model. They constitute valuable assets towards a comprehensive assessment of urban mobility systems, compelling progress for the agent-based modelling field, and a convincing demonstration of its technical capabilities.
Applying an Extended Theory of Planned Behavior to Predict Young Drivers’ In-Vehicle Information System (IVIS) Use Intention and Behavior While Driving: A Longitudinal Two-Wave Survey
Authors: Zhong Qi , Zhi Jinyi , Xu Yongsheng , Gao Pengfei , Feng Shu
Published: October 2024

In-vehicle information system (IVIS) use while driving has raised concerns about driver distraction, especially for young drivers. To understand better their psychological factors, an extended theory of planned behavior (TPB) was employed to predict young drivers’ IVIS use intentions and behavior while driving. A two-wave longitudinal survey was conducted to explore the temporal effects of ‘intention–behavior’ causality. At Time 1, 236 qualified participants completed a main questionnaire assessing the standard TPB constructs (attitude, subjective norms, and perceived behavior control) and the extended constructs (descriptive norms, moral norms, and perceived risks). At Time 2, 145 follow-up questionnaires measuring self-reported behavior were successfully administered. The hierarchical multiple regression analyses showed that the standard constructs account for 36.5% of the intention variance and 41.2% of the behavior variance. The extended constructs additionally contributed 20.3% of intention variance. All variables were identified as significant predictors of intentions, except for perceived crash risks and perceived risks of being caught and fined. The sole significant predictor of prospective behavior was intention. Theoretically, the findings further support the efficacy of the TPB in explaining IVIS use while driving. Practically, it is helpful to design non-legal interventions that sustainably reduce young drivers’ engagement in IVIS-related distractions.
Thermal and Moisture Content Monitoring of a Full-Scale Load Bearing Hemp Lime Arch Prototype
Authors: Bohn Arthur , Bocco Andrea
Published: October 2024

Today, bio-sourced materials represent an important technological field of study, as they could sink atmospheric carbon dioxide into buildings. Little-processed construction materials would also reduce the environmental impact of the construction sector, which emitted more than 2.9 Mt of CO2 in 2020. Hemp-lime is a material that meets both these requirements. It is an insulating mix that can take different forms and be used in various parts of a building. The challenge is providing it with enough mechanical strength to make it loadbearing, at least to some extent. This research focuses on the construction and monitoring of a pointed arch, based on a previous experimental hemp-lime construction at Cardiff University in 2009, under the direction of architect David Lea. Since 2022, such an experiment on a possible loadbearing hemp-lime mix is being repeated at the Politecnico di Torino as part of a wider project called “experimental pavilions of vegetarian architecture”. The design and numerical analysis of the Cardiff prototype led to the modification of both the geometry and the composition of the mix using only pozzolanic air lime as the binder. The construction of the arch ended in December 2023. Observing the thermo-hygrometric conditions of this hemp-lime mix once in place is the main purpose of this article. A strong correlation is revealed between outdoor conditions with temperature and moisture content in the core of the arch. Building a full-size outdoor prototype allows for the avoidance of mathematical correction to the results obtained and allows the assessment the mix’s resistance in relation with environmental conditions. Due to some similarities of nature and function between lime and cement, many studies of lime mixes do not exceed a duration of 28 days, which cannot be considered the appropriate observation time for its curing. Therefore, we analysed this lime-based material for around 6 months, according to its own temporality and chemical kinetics. Through continuous monitoring at 10-min intervals, it was possible to highlight several significant aspects of rammed hemp-lime. The results show that the temperature within the mix is influenced by the outside temperature, but the sun exposure of certain areas drives up the corresponding temperature values more rapidly. Furthermore, while the absorption of water in the form of vapour is very rapid, desorption takes longer, as does re-establish a balance between the material and its context. Finally, solar exposure affects particularly 30-cm-thick elements, while elements that are 60 cm thick are not affected in the short term but only in long-term exposure conditions like season changes.
Assessment of the Response to Fertilization for the Sustainable Management of Native Grasses from Flooded Savannah Ecosystem Arauca, Colombian Orinoquia
Authors: Salamanca-Carreño Arcesio , Pérez-López Otoniel , Vélez-Terranova Mauricio , Vargas-Corzo Oscar Mauricio , Parés-Casanova Pere M. , Castillo-Pérez Andrés F.
Published: October 2024

The native grasses of the flooded savannah ecosystem are produced under natural conditions and there is little information on the productive and nutritional response to the application of fertilizers. They are proposed as a strategy for adaptation to climate change and for the sustainable development of livestock farming. The aim of the study was to evaluate the response to low doses of fertilization of native grasses (“bank” grasses: Paspalum plicatulum, Panicum versicolor, and Paspalum sp. “Low” grasses: Leersia hexandra and Hymenachne amplexicaulis) in flooded savannah conditions. The green forage samples were taken in a 1 m2 frame at 28-, 35-, and 42-day cutting intervals and biomass production was estimated with and without fertilization. After 35 days, the nutritional composition was analyzed by near-infrared reflectance spectroscopy (NIRS). The effect of fertilization and the grasses × cutting interval interaction influenced (p < 0.05) green forage (GF, t/ha) and dry matter (DM, t/ha). The effect of fertilization and the grasses × fertilization interaction on the nutritional composition only influenced the content of calcium (Ca2+) and magnesium (Mg2+) in the “low” grasses, while in the “bank” grasses, it influenced the sodium (Na) content (p < 0.05). The application of fertilizers generated significant differences in forage yield, but not in the general nutritional composition of grasses. However, some numerical variations were observed in favor of fertilized grasses. According to these results, the application of fertilizers will not be required to increase the value of the nutritional composition. Native grasses constitute an important sustainable food resource for livestock in flooded savannah ecosystems. This study constitutes the first approximation to understanding the behavior of native grasses for sustainable management in the flooded savannah ecosystem.