bluuebunny/crossref_metadata_2025 huggingface dataset:
Production Decisions of Automakers Considering the Impact of Anticipated Regret under the Dual-Credit Policy
Authors: Wang Yushi , Sun Licheng , Li Shilong
Published: May 2022

The anticipation of consumer regret under dual-credit policies significantly impacts automakers’ production decisions. This article focuses on the automakers that produce both new energy vehicles (NEV) and fuel vehicles (FV). Given the dual-credit policy, this study introduces the concept of anticipated regret to characterize consumers’ evaluation of product utility, and then analyzes the impact of this behavior on the volume of vehicles produced by automakers. The study found the following: when in independent decision-making mode, as the government increases the requirements associated with the new energy vehicle credit ratio, automakers reduce the number of fuel vehicles and the number of new energy vehicles produced. In this independent decision-making mode, the influence of consumer anticipation of regret on automakers’ production decisions is uncertain. When the credit price is less than the threshold, the total profit of the automaker in a centralized decision-making mode is less than the profit in the independent decision-making mode. When the credit price exceeds the threshold, the total profit of the automaker is greater in the centralized decision-making mode compared with the independent decision-making mode.
Drilling Process of GFRP Composites: Modeling and Optimization Using Hybrid ANN
Authors: Abd-Elwahed Mohamed S.
Published: May 2022

This paper aims to optimize the machining parameters of the drilling process of woven-glass-fiber reinforced epoxy (WGFRE) composites. It will focus on modeling and optimizing drill spindle speed and feed with different laminate thicknesses, with respect to torque and delamination factor. The response surface analysis and artificial neural networks are utilized to model and evaluate the effect of control parameters and their interaction on the drilling process outcomes. The particle swarm optimization algorithm is used to improve the ANN training, to increase its performance in prediction. The optimization method of desirability, based on RSM, is applied to validate the optimal combination of control factors, in the space of the study. The influences of the control parameters on the drilling process outcomes are discussed in detail. The optimal machining parameters were 0.025 mm/r and 1600 rpm for feed and spindle speed, respectively, with a GFRE laminate of 5.4 mm thickness. The RSM and ANN–PSO models applied to predict the drilling-process parameters showed a very high agreement with the experimental data.
Social License for Closure—A Participatory Approach to the Management of the Mine Closure Process
Authors: Kozłowska-Woszczycka Aleksandra , Pactwa Katarzyna
Published: May 2022

The European Union’s climate policy and the assumptions of the European Green Deal require Poland to take decisive transition efforts. The achievement of climate neutrality is a challenge due to the special role of coal in the Polish economy. Closing mines and abandoning coal is the greatest challenge for local communities in mining regions. This article presents the example of Wałbrzych, a Polish post-mining town, which has been experiencing the accumulation of negative consequences of inadequately planned liquidation since the 1990s. The current activities of mining companies in the face of abandoning coal were also analyzed. The gaps identified in the literature indicate the need to define a new method of managing the liquidation processes, based on the consideration of key risks resulting from decommissioning, to minimize the social costs in the first place. In this regard, it is helpful to diagnose the social concerns of the stakeholders. The social aspects of mine closures remain a challenge and finding effective ways to deal with them has become crucial for the industry. This prompted us to propose an approach based on community involvement in the decommissioning processes and the introduction of the social license for closure (SLC). By engaging the community, the SLC gives it a voice, allowing it to accommodate the individual needs of mining regions and ensure a successful and just transition. This article recognizes the key stakeholders and their fears related to the liquidation of mining. The organizational framework for stakeholder approval of the SLC is presented. The analysis was based on the example of Poland, a country facing the challenge of closing hard coal mines. Conclusions formulated on the basis of the case study complement the existing research in the field of social licensing and involving stakeholders in the mine closure planning process in accordance with the idea of corporate social responsibility.
Prediction of Suitable Future Natural Areas for Highland Barley on the Qinghai-Tibet Plateau under Representative Concentration Pathways (RCPs)
Authors: Ma Weidong , Jia Wei , Zhou Yuantao , Liu Fenggui , Wang Jing’ai
Published: May 2022

Global climate change, mainly characterized by warming, has resulted in significant migration of temperature-sensitive crops from traditional planting areas, making crops more vulnerable to climate change and natural disasters, increasing yield losses caused by disasters. Based on the MaxEnt model, combining Representative Concentration Pathways 4.5 and 8.5, the potential suitable areas for highland barley planting on the Qinghai-Tibet Plateau were estimated, and the results showed that: (1) Over 30% of the Qinghai-Tibet Plateau is unsuitable for highland barley cultivation, the area of moderately suitable area for highland barley planting is close to 50%, and the marginally suitable and highly suitable area is less than 20%; (2) From the past distribution to the near and medium-term distributions, the unsuitable area for highland barley planting is gradually shrinking. In the moderately suitable area for highland barley planting, some of the area with relatively low suitability was transformed from unsuitable area, and some of the area with relatively high suitability was transformed into marginally suitable area, so that the total area remained basically unchanged. A small part of the marginally suitable area was converted into high-suitability area, which increased the highly suitable area; (3) From the perspective of different scenarios, in the near and medium term, the area with a slight decrease or no change in suitability under RCP 8.5 was smaller than under RCP 4.5, but the area with a significant increase was larger than under RCP 4.5. The areas with a small decrease or no change in suitability accounted for 23.66–33.77% of the total plateau area and were concentrated in the northwestern Qinghai-Tibet Plateau and the Qaidam Basin. Areas with a large increase in suitability accounted for 3.47–15.64% of the total area and were located in the southern, central, and eastern parts of the Qinghai-Tibet Plateau, this area increased significantly with time; (4) Judging from the average altitude change in highland barley planting, the average altitude of the highly suitable area will rise from 3759 m to 3937 m (RCP 4.5) and 3959 m (RCP 8.5) in the near term. By the medium term, the average elevation of the highly suitable area will increase from 3759 m to 4017 m (RCP 4.5) and 4090 m (RCP 8.5). The trend of rising average altitude continues to strengthen.
Sustainable Innovation in the Financial Sector during the Corona Crisis: How Discontinuity Affects Sustainable Innovation, Sustainable Entrepreneurial Orientation, and Absorptive Capacity
Authors: Nuus Ferdy F. F. , Neessen Petra C. M. , Voinea Cosmina L. , Caniëls Marjolein C. J.
Published: May 2022

The corona crisis caused discontinuity within the financial sector, which has further increased the importance of innovation for sustainability and the capability to manage discontinuity. The aim of this research is to investigate how the corona crisis affected the relationship between sustainability-oriented innovation, sustainable entrepreneurial orientation, and absorptive capacity in the financial sector. Empirical research was carried out in the Dutch financial sector during the corona crisis by means of semi-structured interviews with senior managers, semi-structured group interviews with employees, observations, and documentation. The results of this qualitative exploratory case-study research show that the corona crisis has caused discontinuity for the case organization, which has led to an increase in uncertainty and a decrease in risk appetite. However, the degree of proactivity, innovativeness, knowledge adaptation, knowledge acquisition, knowledge exploitation, and knowledge transformation have also increased as a result of the corona crisis. Therefore, the case organization was able to manage discontinuity and realize more sustainability-oriented innovation. Findings seem to indicate that for the case organization, the corona crisis had a predominantly positive effect on (the relationship between) sustainability-oriented innovation, sustainable entrepreneurial orientation, and absorptive capacity. This research has several theoretical and practical implications and contains recommendations for further research and practice.
Impact Study of the Learning Effects and Motivation of Competitive Modes in Gamified Learning
Authors: Liu Yu-Jiao , Zhou Ying-Ge , Li Qi-Long , Ye Xin-Dong
Published: May 2022

At a time when game-based learning has become a research hotspot, this study focused on the competition mechanism in gamified learning, aiming to explore the impact of different competition modes on students’ vocabulary learning effect and learning motivation. A group of 79 sixth grade students from China were randomly assigned to a non-competitive class, an individual competition class, and an inter-group competition class. The experiment was conducted in an English vocabulary course, and the game competition was carried out using the Quizlet Live game platform. The results indicated that: (1) the vocabulary learning effect and motivation of students in the competitive classes (individual competition and inter-group competition) were better than those in the non-competitive class; (2) the learning effect of students in the inter-group competitive class outperformed that of the individual competitive class, but there was no significant difference in learning motivation. Through the qualitative analysis of the students’ interviews, it was found that the results of inter-group competition may be related to the student’s perception of learning and emotional support. The findings of this study can provide relevant support for the subsequent game-based learning design.
Wind Environment Simulation and Optimisation Strategies for Block Spatial Forms in Cold Low Mountainous Areas—A Case Study of Changchun, China
Authors: Zhao Hongyu , Jiang Xue , Cao Yujie , Zhang Haina , Zhen Shinan , Jia Runze , Zhang Shichao
Published: May 2022

Low mountainous areas provide high-quality ecological environments, offering a high urban development value globally. However, cold low mountainous areas are greatly affected by wind environments. Therefore, this study investigates a simulated block wind environment in a typical city in a cold low mountainous area. As opposed to previous work, we put forward the block spatial modes quantitatively for cold low mountainous areas. Computational fluid dynamics (CFD) technology is used to simulate the wind environment of building blocks, including point-type high-rise buildings and row-type multi-story buildings. We propose a new targeted wind environment measurement system developed using PHOENICS 2018 and a spatial combination model using urban information sensing for sustainable development. By comparing the average wind speed (WAS) and calm wind area ratio (SCA) under different simulation conditions, we were able find that when the building form, slope direction, and slope were constant, WAS was inversely proportional to SCA, following the order of south slope > west slope > southwest slope > southeast slope. Second, proper selection of 1:2 and 1:3 ratios for point-type high-rise buildings (HPT) can provide good ventilation for cold low mountainous areas. In addition, continuous high-rise buildings should be avoided. These strategies have been applied in practice in the spatial design of the Lianhuashan tourist resort in Changchun. Possible optimization strategies for planners and governments could include promoting pedestrian spatial environments in these special areas. Moreover, this research is significant for the collection and mining of data-based wind information in cold low mountainous areas, thereby providing scientific quantitative evaluation methods and spatial organisation optimisation guidelines.
Promoting Liquefied Natural Gas (LNG) Bunkering for Maritime Transportation: Should Ports or Ships Be Subsidized?
Authors: Qi Jingwen , Wang Hans , Zheng Jianfeng
Published: May 2022

Alternative fuels have been recognized as a promising method to alleviate the air emission problem of the maritime industry. LNG, as one of the most promising alternative fuels in shipping, has attracted extensive attentions, and government subsidies are extensively adopted to promote its application. We consider two-stage subsidy methods in this paper and aim to find the optimal subsidy plan under different scenarios. Distinguished from previous studies, we obtain the analytical solution to the subsidy plan optimization model. It is revealed that subsidizing ships or ports performs better in the homogeneous scenario, but a uniform subsidy amount would lead to a waste of subsidy when ships are heterogeneous. Besides, the influence of critical parameters on the optimal LNG selling price are also analyzed, and the conclusions we obtain correspond with the intuition, showing the details of as well as the logic behind such correlations.
The Relationship between Hydrological Connectivity Changes Inside and Outside Biodiversity Hotspots and Its Implication for Sustainable Environmental Management
Authors: Bao Wenhui , Zeng Xingyu , Luo Chunyu , Zhang Hongqiang , Qu Yi , Xu Nan
Published: May 2022

The conservation management of biodiversity hotspots is of vital significance for biological conservation. For wetlands, which are a special type of ecosystems that are based on water as their main medium, a decline in external hydrological connectivity often leads to wetland degradation inside biodiversity hotspots. In this context, the relationship between hydrological connectivity changes inside and outside hotspots is worth exploring. Based on the wetland biodiversity hotspots identified using systematic conservation planning, this study selected eight representative biodiversity hotspots with concentrated area. Integral index of connectivity, probability of connectivity (representing structural connectivity), and morphological spatial pattern analysis (representing functional connectivity) were used to analyze the hydrological connectivity changes inside various hotspots for 1995–2015. By taking the catchment area involved as the minimum basin perimeter, this study calculated the external hydrological connectivity changes of various hotspots during this period and analyzed the relationship between hydrological connectivity changes inside and outside of hotspots. The internal and external hydrological connectivity of wetland biodiversity hotspots were found to be significantly correlated. Moreover, the internal hydrological connectivity of hotspots not only declined with declining external structural connectivity, but also changed with the proportion of core wetlands, the proportion of edge wetlands, and the proportion of branch corridors. In addition, hotspots located at intersections of high-grade rivers were more significantly affected by climate change than by human activities and their hydrological connectivity increased with increasing rainfall. The internal hydrological connectivity of hotspots near low-grade rivers presented a declining trend, mainly because of human activities. This study clarified the relationship between internal and external hydrological connectivity of wetland biodiversity hotspots. Targeted internal and external control strategies are proposed, with the aim to offer references for the conservation of wetland biodiversity.
Are Millets More Effective in Managing Hyperlipidaemia and Obesity than Major Cereal Staples? A Systematic Review and Meta-Analysis
Authors: Anitha Seetha , Tsusaka Takuji , Botha Rosemary , Kane-Potaka Joanna , Givens David , Rajendran Ananthan , Bhandari Raj
Published: May 2022

Millets are important staples across developing countries in Asia and Africa. A previous systematic review and meta-analysis showed that eating millets significantly controlled hyperlipidaemia and obesity by focusing on a comparison of pre- and post-intervention measurements. This study further provides meta-analysis of the effects of the consumption of millets on hyperlipidaemia and obesity by analysing millets against other staple grains using the difference-in-differences method, where the effects were computed on the Standardised Mean Difference scale. Thus, only studies that included a control group as well as the baseline were included. The results from twelve eligible studies on blood lipid profile show significant (p < 0.05) favourable effects of consuming millets compared to other staples (rice, wheat, and quinoa). Specifically, the effects on total cholesterol, triacylglycerol, and very low-density lipoprotein cholesterol levels were −0.44, −0.29, and −0.41, respectively (p < 0.05), while the effect on the high-density lipoprotein cholesterol level was +0.59 (p < 0.05). In addition, the effects on low-density lipoprotein cholesterol and the body mass index were −0.60 and −0.29, respectively, with p = 0.06 each. While this study strengthens the evidence that the consumption of millets contributes to reducing the risks of hyperlipidaemia, and therefore cardiovascular diseases, more detailed and rigorous studies are recommended.
Can Green Credit Contribute to Sustainable Economic Growth? An Empirical Study from China
Authors: Li Yue , Ding Ting , Zhu Wenzhong
Published: May 2022

Green development is an inevitable trend of sustainable development: how does it affect green economic growth as the main channel of green project financing and the core force of building a green financial system? The present article measures the relationship between green credit and sustainable economic growth using a benchmark regression analysis model and explores the main influencing factors and regional characteristics that affect the coupling development of green credit and sustainable economic growth by combining mechanism and heterogeneity tests. The results of the study show that: (i) Green credit has a significant positive contribution to sustainable economic growth. (ii) In terms of the transmission mechanism, industrial upgrading and environmental regulation have a significant impact on sustainable economic growth. (iii) In terms of heterogeneity, the effect of green credit on sustainable economic growth is the most pronounced in the west, followed by the central and eastern regions of China. The policy implications of this study are that green credit in China is an inevitable trend, and that a sound policy supporting the legal system and information communication mechanisms should be promulgated to ensure the effective allocation of resources, thereby promoting the coordinated, sustainable and stable development of environmental protection and the economy.
Sustainable Teaching and Learning through a Mobile Application: A Case Study
Authors: Criollo-C Santiago , Altamirano-Suarez Erick , Jaramillo-Villacís Lucía , Vidal-Pacheco Kevin , Guerrero-Arias Andrea , Luján-Mora Sergio
Published: May 2022

Currently, mobile devices are widely used as a support in education for teaching and learning of multiple academic subjects. An example of this is educational mobile applications, which in recent years have been massively developed and have generated multiple downloads for use in the classroom. Despite their features and benefits, the use of mobile devices such as smartphones is not usually allowed in classrooms due to the distraction they can generate. This paper aims to evidence the use of mobile devices in education and why it should be used as a support in the educational model. To do this, it is proposed to compare two teaching-learning methodologies and identify whether the use of mobile applications can influence the specific education of an engineering subject. The methodologies were tested in the classroom, focusing on IP addressing and network numbering systems, with two groups of students: an experimental group and a control group. At the end of the experiment, their performance was evaluated using a questionnaire. The answers of this questionnaire were subjected to an analysis of variance (ANOVA) and hypotheses were proposed to identify whether the use of a mobile application used as a support in the educational model has benefits in learning. The results indicate that educational mobile applications can be helpful in the teaching-learning process and at present, education can benefit from the use of this innovative learning methodology.
Social Museography and Sustainable Historical Heritage
Authors: Sospedra-Roca Rafael , Hernàndez-Cardona Francesc Xavier , Feliu-Torruella Maria , Boj-Cullell Isabel
Published: May 2022

The Sustainable Development Goals set by the United Nations in the 2030 agenda point out the need to safeguard cultural heritage and the importance of convergence towards quality education. Through different museum projects (between 2010 and 2021), the DIDPATRI research group of the University of Barcelona has developed heritage museum models following sustainability parameters. The lines of work have been based on the use of previous museum cultures (integrating existing models) to respond to the needs of the present. The working hypotheses have raised the need to build a new social museography around the historical heritage, which can respond to the social demands of citizen education and sustainability. Museography should be oriented to formal and non-formal teaching-learning environments. Social museography must be based on the understanding of historical heritage in broad sectors of the public as well as on the participation of social agents, civil society, and the scientific community. Social museography must be based on the enhancement of heritage resources (tangible or intangible) in a way that is compatible with sustainable development options; it must be built with the support of protocols that consider production costs that are consistent with the economic and social resources available and with the reasonable use of complex technologies. This desire for research (on the paths of a new social museography) has been channeled through the development of research and transfer projects. The results obtained have generated empirical models that have contributed (methodologically) to the development of museographic options that respond to emerging demands in the environment of historical-archaeological heritage.
GIS and Remote Sensing-Based Multi-Criteria Analysis for Delineation of Groundwater Potential Zones: A Case Study for Industrial Zones in Bangladesh
Authors: Rahman Md. Mizanur , AlThobiani Faisal , Shahid Shamsuddin , Virdis Salvatore Gonario Pasquale , Kamruzzaman Mohammad , Rahaman Hafijur , Momin Md. Abdul , Hossain Md. Belal , Ghandourah Emad Ismat
Published: May 2022

Groundwater is a crucial natural resource that varies in quality and quantity across Bangladesh. Increased population and urbanization place enormous demands on groundwater supplies, reducing both their quality and quantity. This research aimed to delineate the groundwater potential zone in the Gazipur district, Bangladesh, by integrating eleven thematic layers. Data and information were gathered from Landsat 8, the digital elevation model, the google earth engine, and several ancillary sources. A multi-criterion decision-making (MCDM) based analytical hierarchy process (AHP) was used in a GIS platform to estimate the groundwater potential index. The potential index values were finally classified into five sub-groups: very low, low, moderate, high, and very high to generate a groundwater water potential zone (GWPZ) map. The results show that groundwater potential in about 0.002% (0.026 km2) of the area is very low, 3.83% (63.18 km2) of the area is low, 56.2% (927.05 km2) of the area is medium, 39.25% (647.46 km2) of the area is high, and the rest 0.72% (11.82 km2) of the area is very high. The validation of GWPZ maps based on the groundwater level data at 20 observation wells showed an overall accuracy of 80%. In addition, the ROC curve showed 84% accuracy of GWPZ maps when validated with water inventory points across the study region. Overall, this study presents an easy and practical approach for identifying groundwater potential zones, which may help improve planning and sustainable groundwater resource management.
Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis
Authors: Fotova Čiković Katerina , Martinčević Ivana , Lozić Joško
Published: May 2022

The supplier selection process is a strategic decision-making process that influences the company’s sustainability. Lately, the sustainability concept has been highlighted as an organization’s source of success and profitability. Therefore, the selection of a sustainable supplier has become an imperative for organizations and is the focus of this manuscript. Suppliers are key stakeholders in the supply chain, and their proper selection is a key factor in a successful and sustainable supply chain. For this reason, it is crucial to determine how and which methods are mostly used by companies when choosing sustainable suppliers with the aim of examining whether the Data Envelopment Analysis (DEA) contributes to the same. This article is the first to present a comprehensive bibliometric analysis of 87 articles dealing with the application of DEA in the sustainable supplier selection in the period 2010–2022, with the application of the keywords “Data Envelopment Analysis”, “Supplier”, and “Sustainable” in Scopus and Web of Science databases. The main goal of this manuscript is to explore the applications of DEA in a sustainable supplier selection and to provide an analysis and visualization of bibliometric data to reveal the annual trends of published articles in this area, the top contributing journals, the most cited papers, the most contributing authors, citations, affiliations, and countries’ analysis, and an in-depth keyword visualization analysis. The findings of this study provide valuable insights and emphasize the ever-growing trend toward the selection of sustainable partners and suppliers in business using DEA methodology. Notably, this work shows the applicability and efficacy of DEA in specialized areas of supply chain management and should contribute to the construction of an overview of the existing literature on DEA studies regarding the process of selection of sustainable suppliers in supply chain management as well as stimulate the interest in the topic. This article gives an overview of a research field that is actually insufficiently explored through the scientific literature and presents a wide area and guidelines for future work.
Spatiotemporal Variability in Precipitation Extremes in the Jianghuai Region of China and the Analysis of Its Circulation Features
Authors: Wang Yuanning , Peng Zhuoyue , Wu Hao , Wang Panpan
Published: May 2022

In the context of global warming, changes in extreme-precipitation events are becoming increasingly complex, and investigating the spatial and temporal variation characteristics of extreme precipitation is extremely important for scientific water-resource planning, preventing new climate risks and maintaining ecosystem balances. Based on the daily precipitation from 1960–2017 at 15 meteorological stations in the Jianghuai region, the extreme-precipitation indices were calculated. The variations in 12 extreme-precipitation indices were detected by using the Mann–Kendall test in the Jianghuai region. The periodicity of indices was examined by wavelet analysis detecting significant time sections. Through the cross wavelet transform and wavelet coherence analyses, the nonlinear connections between extreme precipitation and atmospheric circulation were explored. The results indicate significant increasing trends in the max one-day precipitation amount (Rx1day), extreme wet days (R99p), and simple precipitation intensity index (SDII). The intensity of extreme precipitation increased significantly. The variation in extreme precipitation showed different trends in different regions, with a greater likelihood of increasing extreme-precipitation intensity and frequency in the southern region compared to the central and northern regions. The period of most oscillations of the indices tend toward be on a time scale of 2–4 years and are in the 1990s. The number of heavy precipitation days (R10 mm) and number of very heavy precipitation days (R20 mm) had, mainly, periods of 5.84 years. Additionally, there were significant resonance periods between the extreme-precipitation indices and the atmospheric circulation index; however, there were obvious differences in time domains. The North Atlantic Oscillation (NAO) and East Asian summer monsoon (EASM) had the most significant effect on the duration of extreme precipitation; Atlantic Oscillation (AO) and EASM had the most significant influence on the extreme-precipitation intensity. The results of the study can provide a scientific basis for water-resource management and disaster prevention and control in the Jianghuai region.
Validation of an Empirical Model with Risk Assessment Functionalities to Simulate and Evaluate the Tailings Dam Failure in Brumadinho
Authors: Dedring Torben , Graw Valerie , Thygesen Kristina , Rienow Andreas
Published: May 2022

The failure of tailings dams causes ecological damage and economic loss and can cause casualties. The simulation of the tailings’ spill path in the event of tailings dam failures (TDFs) can mitigate the risk by the provision of spatial information for disaster prevention and preparedness. In order to close the gap between basic one-dimensional spill-path routing models and complex numerical models, this paper examines an empirical model based on the freely available Laharz model. The model incorporates a tailings-specific planimetric area regression from the literature to describe the spatial extent of tailings flows based on the released volume. By providing information about affected residents and infrastructure, such a model can be used for preliminary risk evaluation. The model was validated against the TDF in Brumadinho (2019) and reached hit rates of over 80%, critical success indices of approximately 60% and false alarm ratios of roughly 30%. The latter is particularly evident in the overestimation of the lower part of the tailings flow. The risk assessment identified 120 affected residents, 117 destroyed buildings (109 reported) and several kilometres of affected roads (1.9 km) and railway (2.75 km). However, the OpenStreetMap-based part of the risk assessment inherits some uncertainties to be investigated in the future.
State-of-the-Art of Factors Affecting the Adoption of Automated Vehicles
Authors: Chen Yilun , Shiwakoti Nirajan , Stasinopoulos Peter , Khan Shah Khalid
Published: May 2022

Around 90% of accidents stem from human error. Disruptive technology, especially automated vehicles (AVs), can respond to the problems by, for instance, eradicating human error when driving, thus increasing energy efficiency due to the platoon effect, and potentially giving more space to human activities by decreasing parking space; hence, with the introduction of the autonomous vehicle, the public attitude towards its adoption needs to be understood to develop appropriate strategies and policies to leverage the potential benefits. There is a lack of a systematic and comprehensive literature review on adoption attitudes toward AVs that considers various interlinked factors such as road traffic environment changes, AV transition, and policy impacts. This study aims to synthesize past research regarding public acceptance attitude toward AVs. More specifically, the study investigates driverless technology and uncertainty, road traffic environment changes, policy impact, and findings from AV adoption modelling approaches, to understand public attitudes towards AVs. The study points out critical problems and future directions for analysis of AV impacts, such as the uncertainty on AVs adoption experiment, policy implementation and action plans, the uncertainty of AV-related infrastructure, and demand modelling.
Bringing the Social Back into Sustainability: Why Integrative Negotiation Matters
Authors: Elgoibar Patricia , Shijaku Elio
Published: May 2022

Although economic and environmental paradigms of sustainability in organizations are highly researched, more work is needed to understand the mechanisms concerning the impact of social factors. Given the importance of social sustainability in current organizational contexts, we explore how gender dimensions (diversity, equality) and social capital dimensions (embeddedness, cohesion) can lead to the betterment of socially driven, sustainable outcomes. Our conceptual framework and propositions are centered on how negotiation—particularly in its integrative form—is likely to promote social sustainability. Our study contributes to the ongoing research on the latest socially driven trends of sustainability in organizations.
Screening Risk Assessment at the Production and Use Stage of Carbon Nanomaterials Generated in Hydrogen Manufacture by Methane Decomposition
Authors: Tsunemi Kiyotaka , Yoshida Madoka , Kawamoto Akemi
Published: May 2022

We performed a screening evaluation of the human health risk posed by nanocarbon materials at the lifecycle stages of manufacturing and the use of the solid carbon generated in hydrogen manufacture by methane decomposition. We first estimated the atmospheric emission volumes of the solid carbon produced by small-, medium-, and large-scale hydrogen manufacturing plants. We then estimated the atmospheric emission due to tire wear, which largely contributes to the emission of solid carbon usage. Next, we estimated the atmospheric concentration of solid carbon in an atmospheric simulation using the METI–LIS model, which estimates the atmospheric distribution of a pollutant’s concentration near methane decomposition factories. We also used the AIST–ADMER model that estimated the regional atmospheric distributions around central Tokyo, where the traffic volume is the highest nationally. Finally, we performed a screening evaluation of human health risk in the surrounding areas, considering the permissible exposure concentrations of solid carbon. Our study identified no risk concerns at small- and medium-scale factory locations equipped with high-efficiency particulate air (HEPA) filtration facilities. At large-scale factories installed with HEPA filters, these emissions likely remain within the factory site. Furthermore, we determined that emissions from tire wear pose no risk to human health. The surroundings of small- and medium-scale factory sites installed with HEPA filters posed no risk to human health.
Polyphenol Characterization and Antioxidant Activity of Grape Seeds and Skins from Sicily: A Preliminary Study
Authors: Di Stefano Vita , Buzzanca Carla , Melilli Maria Grazia , Indelicato Serena , Mauro Manuela , Vazzana Mirella , Arizza Vincenzo , Lucarini Massimo , Durazzo Alessandra , Bongiorno David
Published: May 2022

The interest in the consumption of health-promoting foods has led to identifying derivatives of the wine industry as products to increase the functional properties of different foods or to design new functional foods. The main goal of this study is to characterize and valorize byproducts and wastes of Sicilian grapes as new sources of bioactive components, from the perspective of a circular economy and a biorefinery approach. In particular, this research investigated: 1. the total phenolic content and antioxidant activities and 2. the phenolic profiles of free and bound fractions of defatted grape seeds and red grape skins from Sicily. Defatted grape seeds (DGS) and red grape skins (RGSK) are rich in phenolic compounds. Twenty biophenols were found in the defatted seeds and red grape skins. Particularly interesting were the results obtained after basic hydrolysis, which allowed the release of biophenols from the matrix. The degreased grape seeds showed p-coumaric acid levels at 4641.65 µg g−1, gallic acid at 2649.23 µg g−1, and caffeic acid at 1474.13 µg g−1, along with appreciable quantities of myricetin, epicatechin, and quercetin. As a sustainable approach, the reuse and the value added of the byproducts and wastes of grapes grown in Sicily is shown, which makes possible new applications in different fields, i.e., nutraceuticals.
A Resilient and Nature-Based Drinking Water Supply Source for Saline and Arsenic Prone Coastal Aquifers of the Bengal Delta
Authors: Jahan Khurshid , Zahid Anwar , Bhuiyan Md Abul Ehsan , Ali Iqbal
Published: May 2022

Salinity causes a hostile environmental impact throughout the year in the coastal region of Bangladesh, and its severity increases day by day. Because of upstream freshwater flow reduction and massive groundwater extraction, salinity has increased substantially over the last three decades. Moreover, arsenic contamination in shallow groundwater makes the groundwater unsuitable for potable use. Consequently, the coastal area suffers from acute storage of safe water supply. Salinity also negatively impacts human activities, livelihood, agricultural production, and the aquatic ecosystem. Though the shallow aquifer contains high salinity and a small amount of Arsenic (As), the very shallow aquifer (within 3m to 8m) contains fresh water in many areas in the rainy season due to the direct recharge of rainwater. However, rainfall recharge varies significantly depending on the geological and hydrogeological settings. Specifically, up to 50% of annual rainfall is stored in shallow aquifers of Quaternary sands through direct infiltration. The research’s principal objective is to identify the safe and sustainable drinking water source in the arsenic and saline-prone coastal region. Groundwater samples were collected from the different locations of the study area during both dry and wet seasons and examined seasonal variations in groundwater table and salinity levels. The chemical analyses and Physico-chemical parameters indicate that the groundwater samples are suitable for drinking. Except for some groundwater samples from the wet season, the salinity of all samples was under the allowable limit for Bangladesh (<2000 µS/cm), and the targeted aquifer was almost arsenic (50 µg/l) free. Therefore, a comprehensive analysis has been made to accomplish the study goals. Particularly, the groundwater’s electrical conductivity (EC) values of most samples were measured within the limit of fresh or brackish water (<2000 μS/cm). Overall, the results indicate the prospect of a very shallow aquifer as a source of freshwater for drinking purposes throughout the year, considering both arsenic and salinity, which effectively solve the freshwater shortage, especially in the saline-arsenic prone area.
High-Speed Rail, Equity and Inclusion
Authors: Pagliara Francesca , Hayashi Yoshitsugu , Ram Kallidaikurichi Seetha
Published: May 2022

Today, the question of inequality related to transport systems is becoming an issue that governments, at the different territorial scales, should confront in order to find solutions and restrict the consequences [...]
Potential Use of Wastewater Treatment Plant Sludge in Fabrication of Burnt Clay Bricks
Authors: Amin Faisal , Abbas Safeer , Abbass Wasim , Salmi Abdelatif , Ahmed Ali , Saeed Danish , Sufian Muhammad , Sayed Mohamed Mahmoud
Published: May 2022

Water treatment plants produce a huge amount of sludge, which are ultimately disposed to the nearest water channel, leading to harmful effects. This unmanaged wastewater treatment plant sludge (WTS) results in social and environmental concerns. Therefore, the utilization of WTS in construction activities can be a viable option for the management of waste sludge, leading to sustainable infrastructures. The main aim of this study was to investigate the potential of WTS in the manufacturing of clay bricks at an industrial scale. WTS was procured from the Rawal Lake water treatment plant, Pakistan. Clay was collected from a local industrial brick kiln site. Brick specimens with varying percentages of WTS (i.e., 5%, 10%, 15%, 20%, 30% and 40%) were casted and their mechanical and durability characteristics were evaluated. It was observed that the bricks incorporating WTS showed higher compressive and flexural strengths compared to that of the normal clay bricks. For instance, brick specimens incorporating 5% WTS by weight of clay showed a 10% increase in compressive strength. Furthermore, brick specimens incorporating 20% of WTS by clay weight satisfied the strength requirements as per local building codes for masonry construction. Scanning electronic microscopic (SEM) images confirm the porous microstructure of brick specimens manufactured with WTS, which results in 12% lighter clay bricks as compared to conventional clay bricks. Moreover, the durability characteristics of brick specimens incorporating WTS showed better performance. It can be concluded that bricks fabricated with a high proportion of WTS (i.e., 20%) will minimize the environmental overburden and lead to more durable and economical masonry construction.
The Virtual Living Museum: Integrating the Multi-Layered Histories and Cultural Practices of Gadara’s Archaeology in Umm Qais, Jordan
Authors: Selim Gehan , Jamhawi Monther , Abdelmonem Mohamed Gamal , Ma’bdeh Shouib , Holland Andrew
Published: May 2022

This paper discusses a novel technological approach using virtual heritage technology to reflect Umm Qais heritage’s intertwining and interdependent nature that shapes its identity and value today. It developed the first model of a “virtual living museum” that brings both the tangible and intangible heritage of the site and community together into an integrated virtual environment that gives equal importance to local community narratives, traditions and history. We argue that integrating both human and digital records enriches the virtual twin of cultural heritage sites as a living and more humane experience that best represents the multi-layered and overlapping history of ancient Gadara’s archaeology and the cultural practices within Hara Fouqa and its Ottoman houses. As heritage is neither one dimensional nor frozen in time, virtual experiences must be fluid, dynamic, inclusive, integrative and open to change, reflecting living historical narratives.
Nonlinear Effects of Community Built Environment on Car Usage Behavior: A Machine Learning Approach
Authors: Liu Keliang , Chen Jian , Li Rui , Peng Tao , Ji Keke , Gao Yuyue
Published: May 2022

This study aims to guide the community life circle to create a green, travel-supportive built environment. It quantitatively analyzes the variations in car usage behavior based on the level of the built environment of the community and objectively reflects the car usage behavior based on the parking space utilization rate (PSUR). Ordinary least squares (OLS) and gradient boosting decision tree (GBDT) models were developed to describe the impact of the built environment on this utilization rate. An empirical analysis of the model was also conducted using the multisource, heterogeneous parking data of commercial parking facilities in the main urban area of Chongqing, China; the data include records of parking survey, points of interest, and road networks. The results showed that the GBDT model had a better fitting degree than the OLS model considering nonlinear effects. In terms of the contribution of community-built environment variables, distance to business center (14.30%), population density (14.20%), and land use mix (12.60%) considerably affect the PSUR, indicating that these variables have an important influence on the use of private cars. All built environment variables have nonlinear relationships, and the threshold effects reflect a complex relationship between the built environment and car usage behavior. This study provides refined suggestions for the spatial design and transformation of the community life circle.
Diversity in the Workplace for Sustainable Company Development
Authors: Croitoru Gabriel , Florea Nicoleta Valentina , Ionescu Constantin Aurelian , Robescu Valentina Ofelia , Paschia Liliana , Uzlau Marilena Carmen , Manea Marinela Daniela
Published: May 2022

Approaches to the concept of workforce diversity have developed in recent years. This subject is now under continuous research by specialists in talent management. Simultaneously with the global tightening of COVID-19 restrictions, companies have been imposed upon to support an increasingly higher diversity, thus noticing corporate cultures stimulating communication, innovation, and superior yield results, attracting the best talent. This article analyzes the data obtained through research work targeting the understanding of companies’ orientation toward diversity in the workplace and the assessment of the policies necessary, focusing on four themes: motivation, innovation and creativity, leadership, and social responsibility. Each analyzed variable influenced diversity in the workplace from a significant level (3.33 for motivation) to a high level (4.00 for innovation/creativity and 4.00 for leadership, and 3.71 for social responsibility), showing a genuine interest in Romanian companies supporting diversity in the workplace.
Development of Rural Areas in Ukraine in the Context of Decentralization: An Empirical Study
Authors: Davydenko Nadiia , Wasilewska Natalia , Boiko Svitlana , Wasilewski Mirosław
Published: May 2022

Decentralization in Ukraine was actualized due to the inability of the local self-government system to satisfy the needs of the rural population in public services for the comprehensive development of a person, their self-realization, and the protection of their constitutional rights. The purpose of this empirical study is to examine development of rural areas in Ukraine in the context of decentralization. The methodology used was exploratory qualitative in nature and used a multiple case study, wherein data analysis were applied. We have found that the first result of decentralization in 2015–2018 is a slowdown in the decline of the proportion of the rural population, in the rate of decline of the available rural population, and the employment rate of the rural population. Our study refutes the hypothesis that the rural development targets, which were defined at the beginning of decentralization and fixed in the current legislation, have been achieved. Rural development targets have not been achieved, and economic modeling shows that there are no prospects for achieving them in the near future. The research results presented in the paper are of considerable importance for developing economic policy and the social development of rural areas, by addressing the needs of these rural areas.