bluuebunny/crossref_metadata_2025 huggingface dataset:
What Kind of Travellers Are Using Carsharing in Beijing? A Study Based on Selective Ensemble Learning
Authors: Luo Wei , Wang Yi , Jiao Pengpeng , Wang Zehao , Zhao Pengfei
Published: January 2022

As a new urban travel mode, carsharing is significantly different from private cars, buses and other travel modes. Therefore, clarifying the typical characteristics of carsharing, such as individual users’ attributes, travel environment and travel behaviour, is conducive to accurately grasping the development of carsharing. In this study, a selective ensemble learning model is established to analyse typical travel characteristics of carsharing. Firstly, personal characteristics, environmental characteristics and behavioural characteristics were obtained through integrating order data, global positioning system data and station information. Then, based on a consolidated view of carsharing, different types of carsharing travel characteristics were distinguished using selective ensemble learning. Lastly, all kinds of carsharing travel are described in detail. It was identified through this research that carsharing travel can be divided into four kinds: long distance for leisure and entertainment, medium and short distances for business and commuting, a mixed category of medium and short distances for business and residence, and a mixed category of long distance for business and residence. This study can provide a theoretical reference and practical basis for precise planning and design and the scientific operation of carsharing.
Estimation of Groundwater Recharge in Kumamoto Area, Japan in 2016 by Mapping Land Cover Using GIS Data and SPOT 6/7 Satellite Images
Authors: Amano Hiroki , Iwasaki Yoichiro
Published: January 2022

Agricultural fields, grasslands, and forests are very important areas for groundwater recharge. However, these types of land cover in the Kumamoto area, Japan, were damaged by the Kumamoto earthquake and heavy rains in 2016. In this region, where groundwater provides almost 100% of the domestic water supply for a population of about 1 million, quantitative evaluation of changes in groundwater recharge due to land cover changes induced by natural disasters is important for the sustainable use of groundwater in the future. The objective of this study was to create a land cover map and estimate the groundwater recharge in 2016. Geographic information system (GIS) data and SPOT 6/7 satellite images were used to classify the Kumamoto area into nine categories. The maximum likelihood classifier of supervised classification was applied in ENVI 5.6. Eventually, the map was cleaned up with a 21 × 21 kernel filter, which is larger than the common size of 3 × 3. The created land cover map showed good performance of the larger filter size and sufficient validity, with overall accuracy of 91.7% and a kappa coefficient of 0.88. The estimated total groundwater recharge amount reached 757.56 million m3. However, if areas of paddy field, grassland, and forest had not been reduced due to the natural disasters, it is estimated that the total groundwater recharge amount would have been 759.86 million m3, meaning a decrease of 2.30 million m3 in total. The decrease of 2.13 million m3 in the paddy fields is temporary, because the paddy fields and irrigation channels have been improved and the recharge amount will recover. On the other hand, since the topsoil on the landslide scars will not recover easily in natural conditions, it is expected to take at least 100 years for the groundwater recharge to return to its original state. The recharge amount was estimated to decrease by 0.17 million m3 due to landslides. This amount is quite small compared to the total recharge amount. However, since the reduced recharge amount accounts for the annual water consumption for 1362 people, and 12.1% of the recharge decrease of 1.41 million m3 each year to fiscal year 2024 is expected by municipalities, we conclude that efforts should be made to compensate for the reduced amount due to the disasters.
Suitability and Sustainability of Anti-Graffiti Treatments on Natural Stone Materials
Authors: Roviello Valentina , Bifulco Aurelio , Colella Abner , Iucolano Fabio , Caputo Domenico , Aronne Antonio , Liguori Barbara
Published: January 2022

Graffiti vandalism represents an aesthetic and structural phenomenon of degradation both for buildings and cultural heritage: the most used sprays and markers can permeate the stone materials exposing them to degradation. Hence, great attention is being currently devoted to new non-invasive chemical approaches to face this urgent problem. This work is aimed at deeply examining the effects of some of the most sustainable chemical protective methods on the physical properties of natural building materials (e.g., tuff and limestone) by testing two commercial anti-graffiti products. It was found that the nanotechnological product Ector (E) was more effective than Nord Resine (NR) in anti-graffiti applications even if its permanent character hinders its application to the cultural heritage. Conversely, the less performant NR could be used in this field due to its sacrificial behavior, according to the guidelines of the Italian Ministry of Cultural Heritage and Activities and Tourism. The findings highlight the importance of developing new sustainable methods for the preservation of cultural and building materials from vandal graffiti, which should combine the high hydrophobia, the ecological characteristics, and the effectiveness of E, with the sacrificial properties of NR.
Consumers’ Knowledge and Use of Nutritional Labelling Information in Lagos, Nigeria
Authors: Adesina Evaristus , Ajayi Boluwatife , Amoo Emmanuel O. , Adeyeye Babatunde , Ajayi Mofoluwake P. , Olawande Tomike , Olawole-Isaac Adebanke , Udume Mercy E.
Published: January 2022

Nutrition labelling is a topical issue, being a vital aid that shapes consumers’ food choices and could be an efficient tool for the prevention of consumer vulnerability to diet-related diseases such as cancer, high blood pressure, hypertension, and obesity. However, data on the public use of nutritional labels as an information source on nutritional properties of foods and health claims, especially as it relates to Nigeria, are not popular in the literature. This study seeks to examine consumers’ use of labelling information: knowledge; attitude, and practice. A cross-sectional study with the aid of a survey elicited information from 374 randomly selected shoppers in five shopping malls in Lagos State. Data were analysed using the T-test method. Findings show that while the majority of the respondents (70.6%) read the nutritional information, only 64.9% understand the information presented on food labels. The study also reveals that the majority of the respondents (57.5%) do not know that information on food labels should be presented in the English language before any other language as recommended by the National Agency Food and Drug Administration and Control (NAFDAC). While 57.9% of consumers have a positive attitude towards using food labels, 58% of the respondents’ buying decisions are influenced by food labels. The study concludes that consequent upon the importance of nutritional knowledge and wellbeing, consumers of Fast Moving Goods in Nigeria are beginning to consciously pay attention to nutritional labels. The study recommends that producers of Fast Moving Consumer Goods (FMCG) products in Nigeria should adopt the total disclosure of ingredients and nutritional content of their products. Also, regulatory bodies in charge of pre-packaged food products in Nigeria (NAFDAC) should go the whole way and make nutritional labelling mandatory.
A DMAIC Framework to Improve Quality and Sustainability in Additive Manufacturing—A Case Study
Authors: Rodriguez Delgadillo Rodrigo , Medini Khaled , Wuest Thorsten
Published: January 2022

Additive manufacturing as a key Industry 4.0 technology brings radical changes to how we execute production and services operations. However, this innovative technology has not reached maturity and research and development are still in progress to unleash its full sustainability potential. This paper aims to provide operational guidance to decision makers to jointly improve quality and sustainability performance of additive manufacturing processes. We propose a framework based on the DMAIC (Define/Measure/Analyze/Improve/Control) methodology and comprehensive pool of targeted key performance indicators (KPIs) and illustrate this framework through a single case study. The paper evidences the feasibility of extending DMAIC to the growing additive manufacturing domain to achieve quality and sustainability objectives. The case study uncovered some challenges, e.g., the need for customization to a company/industry context, which must be addressed in order to widely apply the proposed framework successfully.
Key Concerns and Drivers of Low-Cost Air Quality Sensor Use
Authors: deSouza Priyanka Nadia
Published: January 2022

Low-cost sensors are revolutionizing air pollution monitoring by providing real-time, highly localized air quality information. The relatively low-cost nature of these devices has made them accessible to the broader public. Although there have been several fitness-of-purpose appraisals of the various sensors on the market, little is known about what drives sensor usage and how the public interpret the data from their sensors. This article attempts to answer these questions by analyzing the key themes discussed in the user reviews of low-cost sensors on Amazon. The themes and use cases identified have the potential to spur interventions to support communities of sensor users and inform the development of actionable data-visualization strategies with the measurements from such instruments, as well as drive appropriate ‘fitness-of-purpose’ appraisals of such devices.
Improving Education for Innovation and Entrepreneurship in Chinese Technical Universities: A Quest for Building a Sustainable Framework
Authors: Lv Min , Zhang Hong , Georgescu Paul , Li Tan , Zhang Bing
Published: January 2022

The global economic trends and the winds of technological change have elevated the status of integration between industry and education for innovation and entrepreneurship to that of being a national strategic priority of China. However, for a long time prior to that, the many differences between the industrial and educational systems have caused a rift between education for innovation and entrepreneurship and professional education, a profound disconnection between professional education and the local industries, and the subsequent disinterest of entrepreneurial mentors. In this paper, we analyze the status of education for innovation and entrepreneurship in Chinese technical universities. It is pointed out that technical universities should deepen the integration between the industry and education for innovation and entrepreneurship in order to mitigate the imbalance between the supply side of the higher education talent training and the demand side of industrial development. It is also argued that technical universities should change their talent training paradigm, which includes a makeover of the organizational structure and of the curricular system, as well as make amends in the innovation ecosystem with respect to the organization of incubation platforms and of teacher–student teams, in order to promote national and regional economic development, as well as social progress. A method to evaluate the performance of the education for innovation and entrepreneurship in Chinese technical universities, based on specific performance indicators including patents filled, publications, awards in competitions, and acquired funding and on certain non-specific ones including organizational arrangements and satisfaction rates, is presented and then applied to the specific case of the Changzhou Institute of Technology.
Structural Relationship of Causes and Effects of Construction Changes: Case of UAE Construction
Authors: Rahman Ismail Abdul , Al Ameri Abdulla Eisaa Saleh , Memon Aftab Hameed , Al-Emad Nashwan , Alhammadi Ahmed S. A. Marey
Published: January 2022

Changes during construction is one of the critical issues faced in the construction industry. Effective management of construction changes will reduce the financial burden faced in construction projects due to cost overrun, and practitioners will be able to complete projects on time. On the other hand, construction changes exert severe effects on project performance. Hence, this paper uncovers several changes occurring in construction projects. It also evaluates the effect on various parameters of project performance due to changes. This was done by uncovering the underlying causes and effects of changes through the PLS method of structural equation modeling technique. SmartPLS software was used to develop and evaluate the study model based on 58 change causes and 48 change effects that were identified from the literature review. Causes of changes were categorized into three constructs which are client-related causes (CLE), consultant-related causes (COS), and contractor-related causes (CON). At the same time, the effects variables were grouped as Time Overrun (TO), Cost Overrun (CO), and Quality (QA). The survey data for generating the model was collected from 218 practitioners working on construction megaprojects of the UAE. Assessment on the constructed model found that the contractor (CON) group is the most influential group of causes with the highest values of the model’s predictive explanatory power (accuracy), which is 0.396, 0.339, and 0.410 to time overrun, cost overrun, and quality assurance of the effects groups, respectively. At the same time, the Quality Assurance (QA) group is considered the most substantial parameter which are affected due to changes occurring in construction projects of UAE. This model is deemed beneficial for the UAE construction industry in facilitating the effective recognition of possible causes and effects of change among the UAE construction projects. As a result, the practitioners will make necessary arrangements to control the potential changes in future projects.
Bibliometric Analysis of Highly Cited Papers on Resources and the Environment in China
Authors: Han Guosheng , Luo Rundong , Sa Kaiyue , Zhuang Min , Li Hui
Published: January 2022

To review the current state of resources and environmental sciences in China, this study assessed highly cited papers of five leading CSSCI journals sourced from the Chinese National Knowledge Infrastructure database. The fields of resources and environmental sciences were the research focus, and the bibliometric analysis software CiteSpace was used to perform co-occurrence analysis on keywords, authors, and research institutions based on bibliometrics and social network analysis. Furthermore, the research hotspots, scientist groups, and main cooperation models in the field of resources and environmental sciences in China were also explored. The results show that: (1) For 30 years, the interdisciplinarity of resources and environmental sciences has become more and more intense, and research themes have become increasingly extensive. The research hotspots of highly cited papers focused on energy, ecology, land, water resources, and sustainable development. In recent years, problems associated with energy and carbon emissions have aroused great interest. The ecological and sustainable development of resources and environmental elements has emerged as a future research trend. (2) An analysis of scientist-oriented networks shows that highly cited papers are mostly published by group authors. Scientists work closely within their respective academic groups, while intergroup academic cooperation is rare. Furthermore, connectedness between cooperation networks is poor, and scientists are largely connected through their research institutions. Cooperation among scientists is greatly affected by their geographical locations. Research institutions in the same region are more likely to cooperate. Beijing and Nanjing are high-producing areas of highly cited papers. The Institute of Geographic Sciences and Resources, CAS, is the most influential research institution. This paper introduces the state-of-the-art research hotspots of Chinese resources and environmental sciences to international academic circles and provides a basis for the research practice of resources and environmental sciences worldwide.
Current Trends in Urban Heritage Conservation: Medieval Historic Arab City Centers
Authors: Shehata Ahmed Mohamed
Published: January 2022

Traditional conservation efforts did not improve the conditions in most historic urban centers of Arab cities. The internationally adopted shift in historic urban conservation grants better urban vitality and sustainability for these areas. This study investigates the existing trends and forthcoming changes in urban conservation and their implication on historical centers. Urban Heritage Conservation UHC trends were reviewed, conservation parameters were defined, and quality aspects of successful historic urban conservation were identified, and an assessment framework was developed to evaluate the resulting conserved urban heritage. Two case studies of Arab cities, Jeddah and Aman, were analyzed. The findings highlight the most common urban issues such as reusing historic buildings, traffic congestion, and lack of funds. The impact of urban management on historic areas’ quality was revealed. Moreover, the paper ends with recommendations for conservation authorities. These include engaging residents in the conservation efforts, adopting more innovative traffic solutions to ease congestions, turning the historic area into a pedestrian-friendly space, attracting visitors through arranging cultural events, creating new job opportunities through heritage, and improving the image of the areas through urban regulations. The paper’s findings would contribute to the knowledge related to Urban Heritage Conservation (UHC), and its recommendations would help practitioners and decision-makers.
Long-Term Assessment of Temperature Management in an Industrial Scale Biogas Plant
Authors: Onen Cinar Senem , Nsair Abdullah , Wieczorek Nils , Kuchta Kerstin
Published: January 2022

Temperature management is one of the primary considerations of biogas plant operation, and influences physical and biochemical processes. An increase in the temperature leads to an increase in the hydrolysis rate of the feedstock, while it can inhibit microorganisms taking part in different stages of anaerobic digestion. Because of the complexity of the biochemical processes within the anaerobic digestion process, there is a lack of knowledge about the effects of temperature and temperature change on efficiency. Moreover, the impact of stirring directly affects the temperature distribution in the anaerobic digestion reactors. In this study, the temperature management in an industrial-scale biogas plant was examined, and the effect of small temperature changes (from the operation temperature 42 °C) on the efficiency was studied in a laboratory under two different conditions: with stirring (at 40 and 44 °C) and without stirring (at 40 and 44 °C). The examination results from the biogas plant showed that heat transfer in the reactor was not sufficient at the bottom of the digester. Adaptation of the post-digester samples to the temperature changes was more challenging than that of the digester samples. From digestate samples, higher biomethane generation could be obtained, resulting from sufficient contact between microorganisms, enzymes, and substrates. Overall, differences between these changing conditions (approx. 6 NmL CH4 g VS−1) were not significant and could be adapted by the process.
Use of Artificial Intelligence in Smart Cities for Smart Decision-Making: A Social Innovation Perspective
Authors: Bokhari Syed Asad A. , Myeong Seunghwan
Published: January 2022

The goal of this study is to investigate the direct and indirect relationships that exist between artificial intelligence (AI), social innovation (SI), and smart decision-making (SDM). This study used a survey design and collected cross-sectional data from South Korea and Pakistan using survey questionnaires. Four hundred sixty respondents from the public and private sectors were obtained and empirically analyzed using SPSS multiple regression. The study discovered a strong and positive mediating effect of SI between the relationship of AI and SDM, as predicted. Previous researchers have investigated some of the factors that influence the decision-making process. This study adds to the social science literature by examining the impact of a mediating factor on decision-making. The findings of this study will contribute to the local government in building smart cities such that the factor of social innovations should be involved in the decision-making process because smart decision-making would share such collected data with entrepreneurs, businesses, and industries and would benefit society and all relevant stakeholders, including such social innovators.
Citizen Science for Traffic Monitoring: Investigating the Potentials for Complementing Traffic Counters with Crowdsourced Data
Authors: Janež Miha , Verovšek Špela , Zupančič Tadeja , Moškon Miha
Published: January 2022

Traffic counts are among the most frequently employed data to assess the traffic patterns and key performance indicators of next generation sustainable cities. Automatised counting is often based on conventional traffic monitoring systems such as inductive loop counters (ILCs). These are costly to install, maintain, and support. In this paper, we investigate the possibilities to complement and potentially replace the existing traffic monitoring infrastructure with crowdsourcing solutions. More precisely, we investigate the capabilities to predict the ILC-obtained data using Telraam counters, low-cost camera counters voluntarily employed by citizens and freely accessible by the general public. In this context, we apply different exploratory data analysis approaches and demonstrate a regression procedure with a selected set of regression models. The presented analysis is demonstrated on different urban and highway road segments in Slovenia. Our results show that the data obtained from low-cost and easily accessible counters can be used to replace the existing traffic monitoring infrastructure in different scenarios. These results confirm the prospective to directly apply the citizen engagement in the process of planning and maintaining sustainable future cities.
Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus
Authors: Stack Victoria , Narine Lana L.
Published: January 2022

Achieving sustainability through solar energy has become an increasingly accessible option in the United States (US). Nationwide, universities are at the forefront of energy efficiency and renewable generation goals. The aim of this study was to determine the suitability for the installation of photovoltaic (PV) systems based on their solar potential and corresponding electricity generation potential on a southern US university campus. Using Auburn University located in the southern US as a case study, freely available geospatial data were utilized, and geographic information system (GIS) approaches were applied to characterize solar potential across the 1875-acre campus. Airborne light detection and ranging (lidar) point clouds were processed to extract a digital surface model (DSM), from which slope and aspect were derived. The area and total solar radiation of campus buildings were calculated, and suitable buildings were then determined based on slope, aspect, and total solar radiation. Results highlighted that of 443 buildings, 323 were fit for solar arrays, and these selected rooftops can produce 27,068,555 kWh annually. This study demonstrated that Auburn University could benefit from rooftop solar arrays, and the proposed arrays would account for approximately 21.07% of annual electricity requirement by buildings, equivalent to 14.43% of total campus electricity for all operations. Given increasing open and free access to high-resolution lidar data across the US, methods from this study are adaptable to institutions nationwide, for the development of a comprehensive assessment of solar potential, toward meeting campus energy goals.
Response of Rice (Oryza sativa L.) Cultivars to Variable Rate of Nitrogen under Wet Direct Seeding in Temperate Ecology
Authors: Jehangir Intikhab Aalum , Hussain Ashaq , Wani Shabir H. , Mahdi Syed Sheraz , Bhat Mohammad Anwar , Ganai Manzoor A. , Sofi Najeeb , Teeli Nazir Ahmad , Raja Waseem , Soufan Walid , Ueda Akihiro , Skalicky Milan , Brestic Marian , EL Sabagh Ayman
Published: January 2022

Transplanting rice appears to pose many problems, including depletion of freshwater reservoirs and competition for labor. Conversely, direct seeding allows us to overcome shortcomings associated with conventional transplanting. Nitrogen is a crucial nutrient needed for plant growth and yield. Therefore, this study was executed to analyze the influence of nitrogen on the performance of rice genotypes grown by direct seeding in wet soil. The experiment comprised various rice cultivars, i.e., Shalimar Rice-1, Shalimar Rice-3, Shalimar Rice-4, and Jhelum, and nitrogen (N) levels, i.e., 0, 90, 120, and 150 kg/ha. Shalimar Rice-4 produced a maximum grain yield (6.39 t/ha), followed by Shalimar Rice-3 and Jhelum). The application of 150 kg N/ha showed maximum values for growth parameters, yield attributing traits, and grain yield (6.68 t/ha); however, it remained at par with 120 kg N/ha. Crop water productivity was highest in Shalimar Rice-4 (0.49 kg/m3), and the same showed a consistent increase with increasing N levels from 0–150 kg/ha, with a comparable value of 0.49 to 0.51 recorded at 120 and 150 kg N/ha. Moreover, the Shalimar Rice-1 variety required the maximum in growing degree days (GDD) and helio-thermal units (HTU) to attain different phenological stages till physiological maturity (131 days). However, the cultivar Shalimar rice-4 (SR-4) performed better by registering significantly higher heat use efficiency (HUE) (4.44 kg/ha °C/day). Additionally, the highest net return and the benefit-cost ratio were registered by Shalimar Rice-4. B:C ratio of 1.75 was realized from application of 150 kg N/ha, which remained very close to that achieved with 120 kg N/ha. In conclusion, the rice cultivar Shalimar Rice-4 with the application of 120 kg N/ha could boost rice production under DSR in water-scarce regions of temperate northern India.
Investigating e-Retailers’ Intentions to Adopt Cryptocurrency Considering the Mediation of Technostress and Technology Involvement
Authors: Wu Runhan , Ishfaq Kamran , Hussain Siraj , Asmi Fahad , Siddiquei Ahmad Nabeel , Anwar Muhammad Azfar
Published: January 2022

Cryptocurrencies have transgressed ever-changing economic trends in the global economy, owing to their conveyance, security, trust, and the ability to make transactions without the aid of formal institutions and governing bodies. However, the adoption of cryptocurrency remains low among stakeholders, including e-retailers. Thus, the current work explores the intentions of e-retailers in the Asia and Pacific region to adopt cryptocurrencies. This study considers the TAM-based SOR, with a combination of non-cognitive attributes (compatibility and convenience) proposed as stimuli for e-retailers to adopt the examined cryptocurrencies. The findings indicate that the proposed non-cognitive attributes are critical in determining e-retailers’ technostress (emotional state). Moreover, it was found that technostress among e-retailers profoundly impacts their intentions to adopt cryptocurrency in business settings. Meanwhile, regulatory support communication can be used to help regulatory bodies and governing institutions control the future economy worldwide. The proposed study offers significant theoretical and practical contributions through its investigation of e-retailers’ intentions to adopt cryptocurrency for the first time in the particular context of technostress and regulatory support.
A Review on Global E-Waste Management: Urban Mining towards a Sustainable Future and Circular Economy
Authors: Murthy Venkatesha , Ramakrishna Seeram
Published: January 2022

The trending need for smarter electrical and electronic equipment (EEE) is surging globally by the year and is giving rise to huge amounts of outdated EEE going into landfills. This has caused enormous threats to our environment and the health of living beings due to its unsustainable ways of collection, treatment and disposal of waste EEE or E-waste. With increasing E-waste, the formal sectors lack infrastructure, technology and expertise required to collect and process the E-waste in an environmentally sound manner. This article is intended to bring out the global best practices in the field of E-waste management, to shed light on the importance of policy implementation, technology requirement and social awareness to arrive at a sustainable and circular economy. Although about 71% of the world’s populace has incorporated E-waste legislation, there is a need to enforce and implement a common legal framework across the globe. The article explains the gap created among the stakeholders and their knowledge on the roles and responsibilities towards a legalized E-waste management. It further explains the lack of awareness on extended producer responsibility (EPR) and producer responsibility schemes. Despite various legislations in force, numerous illegal practices such as acid leaching, open incineration, illegal dumping carried out by the informal sector are causing harm to the environment, natural resources and the safety of unorganized and unskilled labor. The article discusses the crucial need for awareness amongst stakeholders, consumer behavior and the global challenges and opportunities in this field to achieve a low-carbon, circular economy. To conclude, the article highlights the importance of common legal framework, EPR and licenses, transformation of the informal sector, benchmark technologies, responsibilities of various stakeholders and entrepreneurial opportunities to enhance the formal capacity. The article wholly advocates for transparency, accountability and traceability in the E-waste recycling chain, thus creating a greener environment and protecting our planet and natural resources for future generations.
Research on the Spatial Spillover Effect of Provincial Final Consumption Level in China Based on the Complex Network
Authors: Wei Qing , Wang Chuansheng , Yao Cuiyou , Shi Fulei , Cao Haiqing , Wang Dong , Sun Zhihua , Tan Xuecheng
Published: January 2022

A spatial spillover correlation network is an excellent representation for expressing the relationship of consumption levels among regions, which provides a way to study the evolution mechanism of the spatial influence of the consumption level. Using data on the consumption levels of 29 provinces (or municipalities or autonomous regions) during the global stage (1978–2020) and two separated stages (1978–2001 and 2002–2020) after China’s reform and opening up, this paper analyzes the topological characteristics and driving factors of provincial residents’ consumption level spatial spillover network by applying the Granger causality test of Vector Autoregression (VAR) model and a complex network analysis method. The results show that the number of spatial spillover relationships of provincial residents’ consumption level in the second stage increases significantly in comparison with that in the first stage and the scope of mutual influence among provinces increases rapidly in the second stage; that eastern coastal regions play a net spillover role in the network and some central and western provinces play an increasingly important broker role; and that the members of the network compose four communities with different gradients, with Beijing, Shanghai, and Jiangsu in the leading positions. The network shows neighborhood spillover and club convergence, and these characteristics are more evident in the second stage; moreover, spatial adjacency, residents’ disposable income, urbanization level, consumer credit, and consumption environment similarity have significant driving effects on the spillover correlation of the consumption level.
Proposal of Implementation Framework of Cooperative Approaches and Sustainable Development Mechanism
Authors: Deng Huangwei , Su Ying , Liao Zhenliang , Wu Jiang
Published: January 2022

To slow down climate warming and achieve sustainable development, the Paris Agreement attempts to establish cooperative approaches (Article 6.2 in the Paris Agreement) and a sustainable development mechanism (Article 6.4 in the Paris Agreement) for carbon trading. However, deficiencies in implementation exist due to a lack of systematic execution regulations and an integrated management system. To strengthen the effectiveness of the two carbon trading mechanisms for reducing carbon emission, this paper aims to propose an implementation framework of cooperative approaches and a sustainable development mechanism. Based on the international regime theory in global climate change and the nine elements of the market mechanism, the paper makes use of comparative analysis to discuss the type of mechanism, coverage of the system, operational framework, governance framework, and implementation framework of cooperative approaches and a sustainable development mechanism. The main results and conclusions are as follows: (1) Cooperative approaches are considered as project-based and quota-/credit-based carbon market mechanisms. Under cooperative approaches, trading units should be authorized at the international-regional and sub-regional levels. CO2, CH4, N2O, HFCs, PFCs, SF6, and NF3 are the seven types of greenhouse gases that could be traded through cooperative approaches, and they shall be accounted by the unit of CO2-eq. (2) The sustainable development mechanism is considered as an industry-based and credit-based carbon market framework. Under the sustainable development mechanism, trading units should be authorized at the international level. CO2, CH4, N2O, and PFCs can work in the sustainable development mechanism as subject matters. The unit of gases shall be CO2-eq as well. (3) The implementation framework of cooperative approaches ought to follow three stages: project preparation, project submission, and auditing, as well as internationally transferred mitigation outcomes transfer. The implementation framework of the sustainable development mechanism ought to contain three stages: project development and review, project implementation and monitoring, and project acceptance and unit transfer. The authors hope it can work as a guideline for the early implementation stage of the cooperative approaches and sustainable development mechanism to stimulate carbon reduction and further slow climate change.
Synthesis of Green Deep Eutectic Solvents for Pretreatment Wheat Straw: Enhance the Solubility of Typical Lignocellulose
Authors: Teng Zedong , Wang Liyan , Huang Bingqian , Yu Yue , Liu Jianwei , Li Tinggang
Published: January 2022

Deep eutectic solvents (DESs), a novel and environmentally-friendly solvent, have high potential for biomass pretreatment due to its advantages of low cost, low toxicity, strong solubility, excellent selectivity and biocompatibility. Two types of DES (binary and ternary) were synthesized and characterized, and optimized ternary DES was selected to pretreat wheat straw for enhancement of the solubility of lignocellulose. Moreover, enzymatic hydrolysis was tested to verify the performance of pretreatment. In addition, the changes in surface morphology, structure and crystallinity of wheat straw pretreated by DES were analyzed to reveal the pretreatment mechanism. Experimental results indicated that viscosity exhibited little difference in different types of DESs, and a declining trend as the temperature increases in same DES. The ternary DES pretreatment efficiently enhanced the solubility of typical lignocellulose, with the optimal removal rate of lignin at approximately 69.46%. Furthermore, the total sugar concentration of the residue was about 5.1 times more than that of untreated wheat straw after the pretreated samples were hydrolyzed by the cellulase for 24 h, indicating that DES has the unique ability to selectively extract lignin and hemicellulose from wheat straw while retaining cellulose, and thus enhanced the solubility of lignocellulose. The scanning electron microscope (SEM) observation and X-ray diffraction (XRD) determination showed that the surface of wheat straw suffered from serious erosion and the crystallinity index of wheat straw increased after DES5 pretreatment. Therefore, DES cleaves the covalent bond between lignin and cellulose and hemicellulose, and reduces the intractability of lignin resulting in the lignin dissolution. It suggests that DES can be used as a promising and biocompatible pretreatment way for the cost-effective conversion of lignocellulose biomass into biofuels.
The Agro-Waste Production in Selected EUSAIR Regions and Its Potential Use for Building Applications: A Review
Authors: Liuzzi Stefania , Rubino Chiara , Stefanizzi Pietro , Martellotta Francesco
Published: January 2022

The purpose of this study is to provide a snapshot of the agro-waste production in Puglia, Molise, Albania and Montenegro, some of the regions belonging to EUSAIR (ADRIATIC-IONIAN REGIONS) correlating this aspect to the possible use of agro-waste in the building sector. EUSAIR is a functional area, facing the Adriatic sea, treating the marine, coastal and terrestrial areas as interconnected systems. In the first part of the paper, the state of the art about the current consumption of agricultural biomass is carried out referring to the ongoing research lines. It was shown that a great number of international studies have demonstrated that the agro-waste plays an important role in several fields. Moreover, several researchers conducted studies on hygrothermal, physical and acoustical properties of building materials made with biomass proving the potentiality to use this kind of by-product. Then, the state of the art regarding the production and current way of disposal of the agro-waste in the regions of the EUSAIR above mentioned was performed in order to outline the possible by-products which are suitable to be re-used in the building sector. The correlation existing between the agro-waste and the possible use in the building sector is finally presented, focusing on the legislative framework currently existing in each of the regions.
Conserve My Village—Finnish, Norwegian and Swedish Students’ Valued Landscapes and Well-Being
Authors: Yli-Panula Eija , Jeronen Eila , Matikainen Eila , Persson Christel
Published: January 2022

In the context of landscape, both the natural environment and the built environment can be linked with human health and well-being. This connection has been studied among adults, but no research has been conducted on young people. To fill this gap, this case study aimed to elucidate students’ views on landscapes worth conserving and the landscapes that affect and support their well-being. The participants (n = 538) were Finnish, Norwegian and Swedish students from grades 3–6. The students drew the landscapes they wanted to conserve. The drawn landscapes and the welfare-supporting features they contained were analysed using inductive and abductive content analyses. The students from all three countries preferred water, forest and yard landscapes. In the drawings of natural landscapes, the most recurring themes were sunrise or sunset, forest, beach and mountain landscapes. Physical well-being was manifested in the opportunity to jog and walk. Social well-being was reflected in the presence of friends, relatives and animals. Therapeutically important well-being-related spaces—the so-called green (natural areas), blue (aquatic environments) and white (e.g., snow) areas—were also depicted in the participants’ drawings. It can be concluded that the drawn landscapes reflect several values that promote students’ well-being.
Machine Learning Framework for the Sustainable Maintenance of Building Facilities
Authors: Villa Valentina , Bruno Giulia , Aliev Khurshid , Piantanida Paolo , Corneli Alessandra , Antonelli Dario
Published: January 2022

The importance of sustainable building maintenance is growing as part of the Sustainable Building concept. The integration and implementation of new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generate a large amount of data that will be utilized to better manage the sustainable building maintenance and staff. Anomaly prediction models assist facility managers in informing operators to perform scheduled maintenance and visualizing predicted facility anomalies on building information models (BIM). This study proposes a Machine Learning (ML) anomaly prediction model for sustainable building facility maintenance using an IoT sensor network and a BIM model. The suggested framework shows the data management technique of the anomaly prediction model in the 3D building model. The case study demonstrated the framework’s competence to predict anomalies in the heating ventilation air conditioning (HVAC) system. Furthermore, data collected from various simulated conditions of the building facilities was utilized to monitor and forecast anomalies in the 3D model of the fan coil. The faults were then predicted using a classification model, and the results of the models are introduced. Finally, the IoT data from the building facility and the predicted values of the ML models are visualized in the building facility’s BIM model and the real-time monitoring dashboard, respectively.
Eco-Initiatives in Municipal Cultural Institutions as Examples of Activities for Sustainable Development: A Case Study of Poznan
Authors: Rozmiarek Mateusz , Nowacki Kevin , Malchrowicz-Mośko Ewa , Dacko-Pikiewicz Zdzisława
Published: January 2022

The aim of the study is to demonstrate which pro-environmental initiatives consistent with the idea of sustainable development are undertaken by municipal cultural institutions in Poznan—the largest city in the Greater Poland region in Poland. The diagnostic survey was conducted by means of interviews with directors of municipal cultural institutions or their representatives. A total of 12 (out of 15) municipal cultural institutions from the city of Poznan were surveyed. All were asked to cite specific examples of their activities, visualising their institution’s approach to ecology. The results indicated that the institutions undertake numerous eco-initiatives, which very often fit into the discourse on so-called “deep ecology” and address the sources of the existing environmental crisis. Their activities are also aimed at stimulating a “return to nature” of the city’s inhabitants. In addition to initiatives aimed at the recipients of the offer of individual institutions, many institutions also pay attention to pro-environmental internal activities. In effect, the results could be divided into three general groups, which include internal institutional activities, the implementation of projects on environmental themes, and educational activities in the field of ecology. However, these activities were undertaken individually, as the survey revealed a lack of inter-institutional cooperation on ongoing projects.
An Exploratory Literature Study into Digital Transformation and Leadership: Toward Future-Proof Middle Managers
Authors: Henderikx Maartje , Stoffers Jol
Published: January 2022

This study aimed to obtain insight into the influence digital transformation has on future leadership behaviors and management. Up to now, most literature solely focuses on the need for strong strategic leadership to build and lead the transformation. This study was directed at future leadership behaviors and skills needed during and after digital transformation of management below senior level. An exploratory approach to review literature on digital transformation and leadership was used, inspired by the PRISMA protocol. Our findings show that digital transformation is a disruptive process that impacts the whole organization and results in new forms of working. This calls for altro-centric leadership, an other-centered leadership style. Specifically, soft skills such as empathy, humility, integrity and compassion are becoming increasingly important, as is understanding the power of digital technology. The emergence of artificial intelligence offers interesting opportunities. It could be used to handle quantifiable managerial tasks and evaluate the quantifiable part of performance, while managers focus on the soft skills side of management such as coaching, motivating and empowering employees. This study demonstrates the necessity to redefine leadership requirements in an increasingly digitalized world.
“Why Do We Buy Green Products?” An Extended Theory of the Planned Behavior Model for Green Product Purchase Behavior
Authors: Kamalanon Piyanoot , Chen Ja-Shen , Le Tran-Thien-Y
Published: January 2022

Many consumers are concerned about environmental issues and have expressed interest in purchasing green products. However, actual sales of green products are still not as high as expected. Therefore, marketers of green products may need to investigate the factors driving green purchase behaviors. In this study, we proposed an extended theory of planned behavior (TPB) model that links consumers’ environmental concerns, perceived image of the company, consumer innovativeness, and environmental knowledge with green product purchase behavior. We applied a quantitative approach to collect the data via online questionnaires through Amazon MTurk. With 974 useable samples, the data were analyzed with structural equation modeling (SEM) using Smart PLS. The results showed that green purchase intention positively and significantly affects green purchase behavior. Moreover, the multigroup analysis revealed that the direct influence of green purchase intention on green purchase behavior is higher in developing countries than in developed countries. Regarding the direct effect on green purchase intention, attitude toward green products, perceived consumer effectiveness (PCE), environmental concern, and company’s perceived green image are significant antecedents of the intention to purchase, with attitude toward green products being the most robust antecedent among the three. However, subjective norms do not act as a direct antecedent of purchase intention. For the indirect effect on green purchase intention, four main antecedents (attitude toward green products, subjective norms, PCE, and environmental concerns) indirectly impact purchase intention via the mediating role of the perceived green image of the company. This study contributes to existing literatures via extending the TPB model. Regarding attitude-intention-behavior model, we found that environmental concern complements the model as an antecedent of green purchase intention. Moreover, a company’s perceived green image mediates the relationship between four antecedents and green purchase intention. Therefore, marketers of green products may also enhance future purchases by promoting the green image of the company. Particularly, we found that environmental knowledge positively moderates the relationship between environmental concern and a company’s perceived green image. We added on the empirical evidence that PCE plays a crucial role in stimulating green purchases as its direct positive influence on green purchase behavior is larger than that of green purchase intention. Moreover, consumer innovativeness positively moderates the relationship between PCE and green purchase intention.