bluuebunny/crossref_metadata_2025 huggingface dataset:
An Innovative Framework on Spatial Boundary Optimization of Multiple International Designated Land Use
Authors: Gao Hei , Weng Yubing , Lu Yutian , Du Yan
Published: January 2022

The continuous improvement of international protection awareness has dramatically increased the number of protection organizations and promoted various reserve-naming methods. However, the existing global natural reserves have either fully or partially overlapped, thereby allowing the same region to hold various international titles, resulting in serious issues, which are especially manifested in the boundary delimitation process of natural reserves. Therefore, delimiting the titles of reserve borders will become an enormous challenge in protected-area governance worldwide. This study conducted an in-depth investigation of the technical methods for delineating the spatial boundaries of natural reserves. Taking Jiangshan Nature Reserve in China as the case object, the Candidate Area–Natural background–Heritage Resource–Construction (C-NHC) framework was constructed, and the boundaries of the new reserves were delineated. This study has changed the status quo of the spatial overlap of the reserve through the quantitative evaluation of the conflict patches and the triple optimization of the boundary of the reserve. The area of the new reserve is 150.524 km2, which is 6.682 km2 larger than the original one. The original reserves are all included within the scope of the new one. This study provides guidance and new insights into the boundary delineation of integrated nature reserves worldwide.
New Methods for Testing/Determining the Environmental Exposure to Glyphosate in Sunflower (Helianthus annuus L.) Plants
Authors: Farkas Dóra , Horotán Katalin , Orlóci László , Neményi András , Kisvarga Szilvia
Published: January 2022

Glyphosate is still the subject of much debate, as several studies report its effects on the environment. Sunflower (GK Milia CL) was set up as an experimental plant and treated with glyphosate concentrations of 500 ppm and 1000 ppm in two treatments. Glyphosate was found to be absorbed from the soil into the plant organism through the roots, which was also detectable in the leaf and root. Glyphosate was also significantly detected in the plant 5 weeks after treatment and in plants that did not receive glyphosate treatment directly, so it could be taken up through the soil. Based on the morphological results, treatment with higher concentrations (1000 ppm) of glyphosate increased the dried mass and resulted in shorter, thicker roots. Histological results also showed that basal and transporter tissue distortions were observed in the glyphosate-treated plants compared to the control group. Cells were distorted with increasing concentration, vacuoles formed, and the cell wall was weakened in both the leaf-treated and inter-row-treated groups. In the future, it will be worth exploring alternative agricultural technologies that can reduce the risk of glyphosate while increasing economic outcomes. This may make the use of glyphosate more environmentally conscious.
Economic Individualism and Job Engagement: Examining the Roles of Work Motivation and Growth Need Strength
Authors: Shin Jinkyo , Moon Nicholas A. , Caylor Jesse , Converse Patrick D. , Park Okja , Yeo Kyunghwan
Published: January 2022

Economic individualism—involving a belief that the individual should be in control of his/her own economic decisions and an increased emphasis on competition and achievement—is becoming more prominent in several areas of the world, but little is known about the implications of this characteristic for employee attitudes and behavior. Our study investigated the impact of economic individualism on job engagement. More specifically, the research developed and examined a model involving work motivation as a mediator and growth need strength as a moderator. Employees (N = 235, 58.3% male, 33.6% 20–29 years old, 53.2% with a bachelor’s degree) from several companies in South Korea completed survey measures of economic individualism, job engagement, work motivation, and growth need strength. Findings supported work motivation as a mediator and indicated that the indirect effect through work motivation was significant at high levels of growth need strength although not at low levels. These findings provide new insights regarding the individual-level engagement implications of economic individualism and when and why these implications hold, as prior research on economic individualism has focused on the organizational and societal levels.
Innovative Action for Forest Fire Prevention in Kythira Island, Greece, through Mobilization and Cooperation of the Population: Methodology and Challenges
Authors: Xanthopoulos Gavriil , Athanasiou Miltiadis , Nikiforaki Alexia , Kaoukis Konstantinos , Mantakas Georgios , Xanthopoulos Panagiotis , Papoutsakis Charalampos , Christopoulou Aikaterini , Sofronas Stavros , Gletsos Miltos , Varela Vassiliki
Published: January 2022

The island of Kythira in Greece suffered a major forest fire in 2017 that burned 8.91% of its total area and revealed many challenges regarding fire management. Following that, the Hellenic Society for the Protection of Nature joined forces with the Institute of Mediterranean and Forest Ecosystems in a project aiming to improve fire prevention there through mobilization and cooperation of the population. This paper describes the methodology and the results. The latter include an in-depth analysis of fire statistics for the island, development of a forest fuels map, and prevention planning for selected settlements based on fire modeling and on an assessment of the vulnerability of 610 structures, carried out with the contribution of groups of volunteers. Emphasis was placed on informing locals, including students, through talks and workshops, on how to prevent forest fires and prepare their homes and themselves for such an event, and on mobilizing them to carry out fuel management and forest rehabilitation work. In the final section of the paper, the challenges that the two partners faced and the project achievements and shortcomings are presented and discussed, leading to conclusions that can be useful for similar efforts in other places in Greece and elsewhere.
The New Boundaries of 3D-Printed Clay Bricks Design: Printability of Complex Internal Geometries
Authors: Sangiorgio Valentino , Parisi Fabio , Fieni Francesco , Parisi Nicola
Published: January 2022

The building construction sector is undergoing one of the most profound transformations towards the digital transition of production. In recent decades, the advent of a novel technology for the 3D printing of clay opened up new sustainable possibilities in construction. Some architectural applications of 3D-printed clay bricks with simple internal configurations are being developed around the world. On the other hand, the full potential of 3D-printed bricks for building production is still unknown. Scientific studies about the design and printability of 3D-printed bricks exploiting complex internal geometries are completely missing in the related literature. This paper explores the new boundaries of 3D-printed clay bricks realized with a sustainable extrusion-based 3D clay printing process by proposing a novel conception, design, and analysis. In particular, the proposed methodological approach includes: (i) conception and design; (ii) parametric modeling; (iii) simulation of printability; and (iv) prototyping. The new design and conception aim to fully exploit the potential of 3D printing to realize complex internal geometry in a 3D-printed brick. To this aim, the research investigates the printability of internal configuration generated by using geometries with well-known remarkable mechanical properties, such as periodic minimal surfaces. In conclusion, the results are validated by a wide prototyping campaign.
Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System
Authors: Ibrahim Mahmoud , Rassõlkin Anton , Vaimann Toomas , Kallaste Ants
Published: January 2022

The significant progress in the electric automotive industry brought a higher need for new technological innovations. Digital Twin (DT) is one of the hottest trends of the fourth industrial revolution. It allows representing physical assets under various operating conditions in a low-cost and zero-risk environment. DTs are used in many different fields from aerospace to healthcare. However, one of the perspective applications of such technology is the automotive industry. This paper presents an overview of the implementation of DT technology in electric vehicles (EV) propulsion drive systems. A general review of DT technology is supplemented with main applications analysis and comparison between different simulation technologies. Primary attention is given to the adaptation of DT technology for EV propulsion drive systems.
Investigating Business Potential and Users’ Acceptance of Circular Economy: A Survey and an Evaluation Model
Authors: Bressanelli Gianmarco , Saccani Nicola , Perona Marco
Published: January 2022

Circular economy is gaining attention in business and society to advance sustainability. This paradigm is particularly relevant for energy-consuming products such as washing machines, where alternatives to linear economy such as pay-per-use and refurbishment are gaining ground. To succeed, these business models should achieve consensus and acceptance among users. However, little attention has been paid to customers’ interest for circular economy business models so far. This paper aims to compare the economic and environmental impacts of pay-per wash and refurbishment business models, while investigating the degree of users’ acceptance and factors influencing it. A survey has been designed to collect users’ data regarding washing machine consumption patterns and acceptance rates of the circular business models. An evaluation model was developed to assess the economic and environmental impacts of pay-per-wash and refurbishment against a traditional linear model, fed with data from 279 Italian households collected through the survey. Finally, logistic regressions were carried out to investigate the influence of different customer, product, and usage factors on the acceptance rates of the two circular business models. Results show that, on average, pay-per-wash business models and washing machine refurbishment can guarantee environmental savings. However, only refurbishment generates economic savings for users. Moreover, only around half of the users’ sample shows a positive degree of acceptance of such alternatives. Respondent age has been found as a significant factor influencing the interest towards a refurbishment model, while the washing machine failures experienced by users and the relevance of the environmental gains achievable influence the acceptance rate of pay-per-wash models. Thus, when offering pay-per-wash schemes, suppliers should emphasize the information on the environmental benefits of this alternative, and that with such models they take over the responsibility and costs for maintenance and repair. On the other hand, providers of refurbished products should target younger consumers, who are less affected by a bias against second-hand goods.
Prosodic Feature-Based Discriminatively Trained Low Resource Speech Recognition System
Authors: Hasija Taniya , Kadyan Virender , Guleria Kalpna , Alharbi Abdullah , Alyami Hashem , Goyal Nitin
Published: January 2022

Speech recognition has been an active field of research in the last few decades since it facilitates better human–computer interaction. Native language automatic speech recognition (ASR) systems are still underdeveloped. Punjabi ASR systems are in their infancy stage because most research has been conducted only on adult speech systems; however, less work has been performed on Punjabi children’s ASR systems. This research aimed to build a prosodic feature-based automatic children speech recognition system using discriminative modeling techniques. The corpus of Punjabi children’s speech has various runtime challenges, such as acoustic variations with varying speakers’ ages. Efforts were made to implement out-domain data augmentation to overcome such issues using Tacotron-based text to a speech synthesizer. The prosodic features were extracted from Punjabi children’s speech corpus, then particular prosodic features were coupled with Mel Frequency Cepstral Coefficient (MFCC) features before being submitted to an ASR framework. The system modeling process investigated various approaches, which included Maximum Mutual Information (MMI), Boosted Maximum Mutual Information (bMMI), and feature-based Maximum Mutual Information (fMMI). The out-domain data augmentation was performed to enhance the corpus. After that, prosodic features were also extracted from the extended corpus, and experiments were conducted on both individual and integrated prosodic-based acoustic features. It was observed that the fMMI technique exhibited 20% to 25% relative improvement in word error rate compared with MMI and bMMI techniques. Further, it was enhanced using an augmented dataset and hybrid front-end features (MFCC + POV + Fo + Voice quality) with a relative improvement of 13% compared with the earlier baseline system.
Consumers’ Perspectives and Behaviors towards Corporate Social Responsibility—A Cross-Cultural Study
Authors: Hsu Yi , Bui Thi Hong Gam
Published: January 2022

This study measured consumers’ perspectives and behaviors with respect to corporate social responsibility (CSR). Specifically, we explored the components of CSR, including CSR aimed towards the environment, society, customers, employees, suppliers, and shareholders. We also examined the impact of CSR practices on brand attitude and purchase intention. The study surveyed 616 consumers across three locations, with detailed questionnaires in four languages. A total of 564 samples (186 from Vietnam, 189 from Indonesia, and 189 from Taiwan) qualified for data analysis. Additionally, statistics software including LISREL 8.8, STATISTICA 10, and MINITAB 19 were utilized to evaluate our hypotheses and construct a structural model. The results indicated that the consumers across the three areas were not concerned about CSR aimed towards shareholders, while all consumers considered CSR aimed towards themselves. Vietnamese customers prioritized a company’s care for its employees, while both Indonesian and Taiwanese consumers concentrated on the environment and society. In addition, suppliers’ benefits and rights attracted Indonesians’ attention. Furthermore, CSR had a positive significant impact on brand reputation in all three cultures. However, while CSR had a positive influence on customer purchase intention in Indonesia and Taiwan, it did not in Vietnam.
Quality Evaluation of the 0.01° Multi-Source Fusion Precipitation Product and Its Application in Extreme Precipitation Event
Authors: Wang Zheng , Pan Yang , Gu Junxia , Zhang Yu , Wang Jianrong
Published: January 2022

High-resolution and high-quality precipitation data play an important role in Numerical Weather Prediction Model testing, mountain flood geological disaster monitoring, hydrological monitoring and prediction and have become an urgent need for the development of modern meteorological business. The 0.01° multi-source fusion precipitation product is the latest precipitation product developed by the National Meteorological Information Center to meet the above needs. Taking the hourly precipitation observation data of 2400 national automatic stations as the evaluation base, independent and non-independent test methods are used to evaluate the 0.01° multi-source fusion precipitation product in 2020. The product quality differences between the 0.01° precipitation product and the 0.05° precipitation product are compared, and their application in extreme precipitation events are analyzed. The results show that, in the independent test, the product quality of the 0.01° precipitation product and the 0.05° precipitation product are basically the same, which is better than that of each single input data source, and the product quality in winter and spring is slightly lower than that in summer, and both products have better quality in the east in China. The evaluation results of the 0.01° precipitation product in the non-independent test are far better than that of the 0.05° product. The root mean square error and the correlation coefficient of the 0.01° multi-source fusion precipitation product are 0.169 mm/h and 0.995, respectively. In the extreme precipitation case analysis, the 0.01° precipitation product, which is more consistent with the station observation values, effectively improves the problem that the extreme value of the 0.05° product is lower than that of station observation values and greatly improves the accuracy of the precipitation extreme value in the product. The 0.01° multi-source fusion precipitation product has better spatial continuity, a more detailed description of precipitation spatial distribution and a more accurate reflection of precipitation extreme values, which will better provide precipitation data support for refined meteorological services, major activity support, disaster prevention and reduction, etc.
Assessment of the Sustainability of Concrete by Ensuring Performance during Structure Service Life
Authors: Georgescu Dan , Vacareanu Radu , Aldea Alexandru , Apostu Adelina , Arion Cristian , Girboveanu Andrei
Published: January 2022

The article presents an original method to assess the sustainability of concrete. The method uses three parameters, namely, performance, lifetime and environmental impact, to calculate a sustainability index. The originality and simplicity of the proposed method is shown when finding the sustainability index, where the first two factors (service life and performance) are kept constant. This approach is possible within the context of the new proposals that specify the durability of structural concrete in EN 1992 and EN 206. It allows the classification of concrete according to its performance, through environmental action resistance classes (ERC). For this purpose, specific experimental methods were used in order to determine the performance of concrete exposed to carbonation. The concretes were prepared with two cement types with additions (CEM II/A-S and CEM II/A-M (S-LL)). Based on the carbonation resistance classes (first parameter—performance) and exposure classes, the thickness of the concrete cover layer was determined to ensure a certain service lifetime (second parameter—service lifetime). Lastly, the global warming potential was calculated for each composition, allowing the users of the method to select the compositions with the lowest environmental impact.
Designing and Energy Estimation of Photovoltaic Energy Generation System and Prediction of Plant Performance with the Variation of Tilt Angle and Interrow Spacing
Authors: Tamoor Muhammad , Habib Salman , Bhatti Abdul Rauf , Butt Arslan Dawood , Awan Ahmed Bilal , Ahmed Emad M.
Published: January 2022

The focus of this research is to design a ground-mounted photovoltaic system at optimal tilt angle and interrow space to meet high demand of electrical energy. The Department of Electrical Engineering and Technology, GC University Faisalabad has been considered to perform the simulation test. This study is conducted using Meteonorm software for solar resource assessment. Furthermore, HelioScope software is used for modeling of a ground-mounted photovoltaic system, study of PV system’s performance in terms of annual generation, system losses and performance ratio and analysis of photovoltaic module’s performance, current-voltage and power-voltage curves for different irradiance levels. From SLD, it is seen that 11 strings are connected to each inverter and inverters output power are combined by using 20.0 A circuit interconnects. The performance of photovoltaic systems is impacted by tilt angle and interrow spacing. From simulation results of all cases, it is concluded that the PV system installed at 15° tilt angle with 4 feet interrow spacing are more efficient than the other installed PV systems, because total collector irradiance is maximum (1725.0 kWh/m2) as compared to other tilt angles. At 15° tilt angle, the annual production of photovoltaic system is 2.265 GWh and performance ratio of PV system is 82.0%. It is envisioned that this work will provide the guidance to energy system designers, planners and investors to formulate strategies for the installation of photovoltaic energy systems in Pakistan and all over the world.
Virtual and Space Tourism as New Trends in Travelling at the Time of the COVID-19 Pandemic
Authors: Roman Michał , Kosiński Robert , Bhatta Kumar , Niedziółka Arkadiusz , Krasnodębski Andrzej
Published: January 2022

The first European COVID-19 infection was recorded in February 2020, and Poland followed in mid-March. Restrictions were imposed on traveling between states and using public space. These movement restrictions forced a search for new, often innovative, forms of tourism. Google Earth virtual reality (VR), Google Street View, and the Chernobyl VR Project are just some of the selected opportunities to create virtual tours. Different activities using VR mean that people can experience the illusion of travelling in time and space, outside of their everyday surroundings, in a digitally constructed three-dimensional (3D) environment, for cognition or entertainment. Therefore, this study aimed to present virtual and space tourism as new traveling trends during various crises, such as health, economic, etc. A diagnostic survey with a developed questionnaire was conducted in June and July 2021 in Poland. A total of 564 fully answered responses were collected from randomly selected respondents. We found that around 82% of Polish people were aware of VR technology, and 70% believed that new technologies determine VR tourism development. VR presents the possibility of travelling to places that no longer exist in their original form, but have been reconstructed only in VR. Around 75% of the respondents agreed that VR tourism plays an essential role in tourism promotion in Poland and throughout the world. Moreover, VR and augmented tourism lets us visit fictitious and dangerous, politically restricted, and geographically as well as economically difficult destinations. For example, our results revealed that many people want to experience North Korea, the USA, Antarctica, Syria, etc. At the same time, people recommended the NASA space station as a visiting destination using VR and augmented reality. VR offers an alternative form of tourism during crises and pandemics such as COVID-19. We found over 26% of the respondents were satisfied with contemporary tourists’ cognitional needs during VR sightseeing. More than 87% of the respondents believed that VR tourism cannot substitute real-world tourism in the long run. However, VR tourism will be more beneficial for developing countries facing difficulties in economic aspects, and easier than attaining visas to enter developed countries. Furthermore, virtual sightseeing may also constitute an alternative for people who are disabled or sick, and who cannot undertake the effort of active tourism and explore tourist resources of the world on their own.
Urban Soundscapes in the Imaginaries of Native Digital Users: Guidelines for Soundscape Design
Authors: Polack Jean-Dominique , Taupin Philippe , Jo Hyun In , Jeon Jin Yong
Published: January 2022

We present an experiment run along the lines of a pilot experiment in China based on collages and narratives to illustrate the participants’ experience with urban sceneries. Its aim was to develop a conceptual model based on narrative analysis that linked objects of the environment to the perceived properties of the soundscape. Participants in groups of two were free to clip any image they wanted from a selection of magazines—the same for all groups within each country—and free to add comments or drawings on their collages. Then, they had to present their collages to the other participants, and the presentations were recorded and transcribed. The structural semantic model that underlies the descriptions of the collages and narratives is presented. The results of the analysis were comparable with previous studies, since ideal urban environments should be calm, quiet and green, but urban environments should also promote cultural activities and the possibility to escape outside the city. The analysis also allowed for attaining the emotions created by soundscapes. Thus, the semantic model can be used as a conceptual model for a soundscape, from which guidelines for soundscape planning and design can be derived, as well as suggestions for innovative soundscapes.
Impact of the 4 Helix Model on the Sustainability of Tourism Social Entrepreneurships in Jalisco and Nayarit, Mexico
Authors: Espinoza-Sánchez Rodrigo , Peña-Casillas Carlos Salvador , Cornejo-Ortega José Luis
Published: January 2022

Given the uncertain outlook caused by COVID-19, it is important to carry out a review of the conditions in which the collective enterprises are influenced by the four helix model, specifically those dedicated to the sector most affected by the pandemic, tourism, for which raises the question: What have been the results of the four helix model in the social tourism entrepreneurships (STE) of Jalisco and Nayarit? In addition to: the participation of the actors of the four helix model has contributed to face the repercussions of COVID-19? The objective is to identify stakeholder input from the core elements of the four helix model and sustainability to the STEs during COVID-19. The methodology used was qualitative and involved the comparison of information from 12 key stakeholders from the government, social, academic and private sectors through Atlas.ti-8. Some results indicate that from the perception of the participants interviewed, the COVID-19 crisis has promoted innovation, support, and incentives among the four helixes, in which the STEs have benefited. As conclusions, the four helix model is functional to face the adversities of COVID-19 as long as there is planning within the entrepreneurships and the link with said model helix participants.
CO2 Emissions Forecast and Emissions Peak Analysis in Shanxi Province, China: An Application of the LEAP Model
Authors: Zou Xin , Wang Renfeng , Hu Guohui , Rong Zhuang , Li Jiaxuan
Published: January 2022

Shanxi Province, an important source of coal resources in China, has consumed a large amount of fossil fuels in the past few decades. The CO2 emissions of Shanxi Province have been increasing annually, reaching 541.8 million tons in 2018, 54.6% higher than the national mean. This will have a negative impact on China’s ability to meet its target of peaking CO2 emissions by 2030. To assist China to achieve this target and reduce CO2 emissions in Shanxi Province, this study used the Long-range Energy Alternatives Planning (LEAP) model to analyze the CO2 emissions and peaks in Shanxi Province from 2019 to 2035 under different scenarios. Furthermore, this study analyzed the time to peak CO2 emissions under different emission reduction measures through a sensitivity analysis. The results show that in the absence of other mitigation policy interventions, CO2 emissions in Shanxi Province will increase annually, reaching 1646.2 million tons by 2035. Furthermore, this study shows that if shares of industrial gross domestic product (GDP) in Shanxi, energy intensity reduction in the industrial and transport sectors compared to the base scenario, thermal power, and relative clean energy consumption reach 25%, 30%, 50%, and 50%, respectively, by 2035, then CO2 emissions of Shanxi would peak at 801.2 million tons in 2029 and GDP per capita would increase to USD 2000 by 2035. Finally, according to the results of this study, we have made some recommendations for emission reduction in Shanxi Province. The limitation of this study was that the implementation cost of the abatement policy was not considered.
Digital Platforms for the Common Good: Social Innovation for Active Citizenship and ESG
Authors: Katsamakas Evangelos , Miliaresis Kostapanos , Pavlov Oleg V.
Published: January 2022

The platform business model has attracted significant attention in business research and practice. However, much of the existing literature studies commercial platforms that seek to maximize profit. In contrast, we focus on a platform for volunteers that aims to maximize social impact. This business model is called a platform for the common good. The article proposes a Causal Loop Diagram (CLD) model that explains how a platform for the common good creates value. Our model maps the key strategic feedback loops that constitute the core structure of the platform and explains its growth and performance through time. We show that multiple types of network effects create interlocking, reinforcing feedback loops. Overall, the article contributes towards a dynamic theory of the platforms for the common good. Moreover, the article provides insights for social entrepreneurs who seek to build, understand, and optimize platforms that maximize social value and managers of companies that seek to participate in such platforms. Social entrepreneurs should seek to leverage the critical feedback loops of their platform.
Assessing the Influence of Land Use/Land Cover Alteration on Climate Variability: An Analysis in the Aurangabad District of Maharashtra State, India
Authors: Masroor Md , Avtar Ram , Sajjad Haroon , Choudhari Pandurang , Kulimushi Luc Cimusa , Khedher Khaled Mohamed , Komolafe Akinola Adesuji , Yunus Ali P. , Sahu Netrananda
Published: January 2022

Examining the influence of land use/land cover transformation on meteorological variables has become imperative for maintaining long-term climate sustainability. Rapid growth and haphazard expansion have caused the conversion of prime agricultural land into a built-up area. This study used multitemporal Landsat data to analyze land use/land cover (LULC) changes, and Terra Climate monthly data to examine the impact of land transformation on precipitation, minimum and maximum temperature, wind speed, and soil moisture in the Aurangabad district of Maharashtra state in India during 1999–2019. Multiple linear regression and correlation analysis were performed to determine the association among LULC classes and climatic variables. This study revealed rapid urbanization in the study area over the years. The built-up area, water bodies, and barren lands have recorded a steep rise, while the agricultural area has decreased in the district. Drastic changes were observed in the climatic variables over the years. The precipitation and wind speed have shown decreasing trends during the study period. A positive relationship between soil moisture and agricultural land was found through a correlation analysis. Conspicuous findings about the positive relationship between the agricultural land and maximum temperature need further investigation. A multiple linear regression analysis demonstrated a negative relationship between the built-up area and precipitation. The intensity of the precipitation has reduced as a consequence of the developmental activities in the study area. Moreover, a positive relationship was observed between the built-up area and maximum temperature. Thus, this study calls for policy implications to formulate a futuristic land-use plan considering climate change projection in the district.
Long-Term Techno-Economic Performance Monitoring to Promote Built Environment Decarbonisation and Digital Transformation—A Case Study
Authors: Manfren Massimiliano , Tagliabue Lavinia Chiara , Re Cecconi Fulvio , Ricci Marco
Published: January 2022

Buildings’ long-term techno-economic performance monitoring is critical for benchmarking in order to reduce costs and environmental impact while providing adequate services. Reliable building stock performance data provide a fundamental knowledge foundation for evidence-based energy efficiency interventions and decarbonisation strategies. Simply put, an adequate understanding of building performance is required to reduce energy consumption, as well as associated costs and emissions. In this framework, Variable-base degree-days-based methods have been widely used for weather normalisation of energy statistics and energy monitoring for Measurement and Verification (M & V) purposes. The base temperature used to calculate degree-days is determined by building thermal characteristics, operation strategies, and occupant behaviour, and thus varies from building to building. In this paper, we develop a variable-base degrees days regression model, typically used for energy monitoring and M & V, using a “proxy” variable, the cost of energy services. The study’s goal is to assess the applicability of this type of model as a screening tool to analyse the impact of efficiency measures, as well as to understand the evolution of performance over time, and we test it on nine public schools in the Northern Italian city of Seregno. While not as accurate as M & V techniques, this regression-based approach can be a low-cost tool for tracking performance over time using cost data typically available in digital format and can work reasonably well with limited resolution, such as monthly data. The modelling methodology is simple, scalable and can be automated further, contributing to long-term techno-economic performance monitoring of building stock in the context of incremental built environment digitalization.
Bringing Transition Management to Cities: Building Skills for Transformative Urban Governance
Authors: Frantzeskaki Niki
Published: January 2022

Cities are open to trialing new approaches for advancing their planning and urban governance practice. Evidence from urban research and practice shows that transition management has been widely and diversely applied for strategic planning for climate mitigation and adaptation, regeneration, as well as sectoral (energy, water, waste) and social cohesion agendas. Despite the amounting evidence of the applications of transition management, the research has not identified what it is required in terms of skills to apply such a governance framework for participatory governance in cities. In this paper, we respond to this gap by providing evidence from 11 cities across Europe that applied transition management as an approach to participatory urban governance for unpacking what transformative actions are required to strengthen urban resilience in deprived neighborhoods. Our multi-case study research and analysis reveals that a multitude of vocational and academic skills are required for the application of transition management approach including systems thinking, creativity, theory-to-practice application skills, diplomatic skills for forging partnerships and learning alliances and openness to learning-by-doing during experimentation. Transition management application in cities in the Resilient Europe project brought about positive outcomes in terms of developing new skills, embedding new knowledge about urban resilience and transition management in planning.
Evaluation of the Risk Induced by Soil Erosion on Land Use. Case Study: Guruslău Depression
Authors: Costea Andreea , Bilasco Stefan , Irimus Ioan-Aurel , Rosca Sanda , Vescan Iuliu , Fodorean Ioan , Sestras Paul
Published: January 2022

Changes in land use, increasing of agricultural areas to the detriment of wooded ones, and poor management of agricultural land, along with the impact of current changes in the climate (reflected in the increase of the climate aggression index) makes soil erosion one of the main risks associated with improper land use, with a direct impact on its productivity and an indirect impact on human beings. The aim of this study is to assess the risk induced by surface soil erosion on land use, using as our main method of investigation the development of two models of integrated spatial analysis of the territory: a derived model of the universal soil loss equation (USLE) and a qualitative model that integrates the result of soil erosion assessment with the database representing the land use. This was carried out in order to highlight the impact on the territory. The spatial analysis models were developed on a structure of vector spatial databases, through which the soil type, soil texture, climate aggression coefficient, and land use were mapped, and alphanumeric databases, representing the market cost of land, in EUROs, that highlight the quality of cultivated land (in terms of productive economic potential). The induced risk estimation is based on a qualitative rating of soil erosion vulnerability on a scale from 1 to 5 (1-low vulnerability; 5-high vulnerability) and of the reduction of the economic value of the land (according to the vulnerability rating). The implemented methodology highlights the quantitative risk, with a maximum value of about 46.000 EUROs, spatially identified on large surfaces on the outskirts of the Jibou municipality. It is mainly caused by the impact of soil erosion on large areas of orchards, which provide necessary products for human consumption. The present methodology can be implemented on similar areas and can be used as a model of good practices in risk assessment based on financial losses by local public authorities.
A Review on Life Cycle Assessment of the Olive Oil Production
Authors: Rapa Mattia , Ciano Salvatore
Published: January 2022

Olive oil is one of the most globally recognized high-value products, with 4 million hectares cultivated in the Mediterranean area. The production process involves many stages: farming, extraction, packing, and waste treatment. Each one of these stages should present critical points for the environmental impacts, and for this reason, the entire sector is adopting mitigation strategies to begin to be more sustainable. The mitigation actions’ efficiency should be evaluated through environmental indicators or environmental impact assessment by Life Cycle Assessment (LCA). This review aimed to carry out an overview of recent papers (2011–2021) involving an LCA study in the olive oil supply chain by giving a framework of what is included in LCA studies and highlighting the main contributors to environmental impacts. The main scholarly literature databases have been exploited, highlighting a great increase in publications, especially from the producer countries. The review results reflect the heterogeneity of the production process. However, the use of pesticides, fertilizers, water, and fuel for machinery heavily weigh on the farming stage’s environmental impact. Finally, special focus was given to key elements of LCA studies in the olive oil supply chain, such as functional unit, system boundaries, impact categories, calculation method, and software widely used.
Sustainable Development Indicators and Their Relationship to GDP: Evidence from Emerging Economies
Authors: Adrangi Bahram , Kerr Lauren
Published: January 2022

This paper aims to analyze the metrics the United Nations has set and called the Sustainable Development Goals (SDGs) and their association with the gross domestic product (GDP) in emerging economies. SDGs have been identified to measure healthy development, whereas GDP has historically been used to measure economic health and has been prioritized above many other indicators. This research deploys the feasible generalized least squares (FGLS) and the seemingly unrelated regressions (SUR) on panel data consisting of the five BRIC countries spanning 2000 through 2017 to estimate a regression model that shows the association of SDGs with GDP. The paper concludes that targeting GDP may not lead to achieving overall SDGs.
Preserving and Presenting Heritage through Sustainable Energy Tourism: The Case of Kobarid in Slovenia
Authors: Potočnik Topler Jasna
Published: January 2022

Energy tourism, which is quite recent despite the fact that the practice of tourists visiting power plants, very often for educational purposes, has a long tradition in Slovenia due to power plants on the Drava River. Particularly, the oldest Fala power plant is an area where the technical field of electric power production and transmission overlaps with tourism. The article that employs the methods of participant observation, interviews with some stakeholders and content analysis focuses on some possibilities of including electric power production and transmission infrastructure into various tourist and educational programmes, including through storytelling, which is a useful tool also when it comes to presenting sustainable and socially responsible project design, considering the needs of all stakeholders involved in the process and, consequently, raising awareness and responsibility towards the environment. Based on a case study of the Kobarid substation, which is a modern sustainably designed power facility built in a Natura 2000 protected area, this article focuses on the possibilities of creating new energy tourism products by employing storytelling, new media and new technologies.
“Nature-like” Cryoimmobilization of Phototrophic Microorganisms: New Opportunities for Their Long-Term Storage and Sustainable Use
Authors: Senko Olga , Stepanov Nikolay , Maslova Olga , Efremenko Elena
Published: January 2022

It was found that immobilization of cells in poly(vinyl alcohol) (PVA) cryogel can be successfully applied for concurrent cryoimmobilization, cryoconservation and long-term storage of the cells of various phototrophic microorganisms (green and red microalgae, diatoms and cyanobacteria). For the first time, it was shown for 12 different immobilized microalgal cells that they can be stored frozen for at least 18 months while retaining a high level of viability (90%), and can further be used as an inoculum upon defrosting for cell-free biomass accumulation. Application of cryoimmobilized Chlorella vulgaris cells as inocula allowed the loading of a high concentration of the microalgal cells into the media for free biomass accumulation, thus increasing the rate of the process. It was shown that as minimum of 5 cycles of reuse of the same immobilized cells as inocula for cell accumulation could be realized when various real wastewater samples were applied as media for simultaneous microalgae cultivation and water purification.
Application and Evaluation of a Non-Accident-Based Approach to Road Safety Analysis Based on Infrastructure-Related Human Factors
Authors: Domenichini Lorenzo , Paliotto Andrea , Meocci Monica , Branzi Valentina
Published: January 2022

Too often the identification of critical road sites is made by “accident-based” methods that consider the occurred accidents’ number. Nevertheless, such a procedure may encounter some difficulties when an agency does not have reliable and complete crash data at the site level (e.g., accidents contributing factors not clear or approximate accident location) or when crashes are underreported. Furthermore, relying on accident data means waiting for them to occur with the related consequences (possible deaths and injuries). A non-accident-based approach has been proposed by PIARC. This approach involves the application of the Human Factors Evaluation Tool (HFET), which is based on the principles of Human Factors (HF). The HFET can be applied to road segments by on-site inspections and provides a numerical performance measure named Human Factors Scores (HFS). This paper analyses which relationship exists between the results of the standard accident-based methods and those obtainable with HFET, based on the analysis of self-explaining and ergonomic features of the infrastructure. The study carried out for this purpose considered 23 km of two-way two-lane roads in Italy. A good correspondence was obtained, meaning that high risky road segments identified by the HFS correspond to road segments already burdened by a high number of accidents. The results demonstrated that the HFET allows for identifying of road segments requiring safety improvements even if accident data are unavailable. It allows for improving a proactive NSS, avoiding waiting for accidents to occur.
Exploration of Spa Leisure Consumption Sentiment towards Different Holidays and Different Cities through Online Reviews: Implications for Customer Segmentation
Authors: Luo Jianhong , Qiu Shifen , Pan Xuwei , Yang Ke , Tian Yuanqingqing
Published: January 2022

With the improvements in per capita disposable income, and an increase in work-related pressure, demand for leisure consumption such as foot bath spas is constantly increasing. Analysis of leisure consumption sentiment is of great importance for the leisure service industry—to meet customer needs, improve service quality and improve customer relationship management. However, traditional sentiment analysis approaches only aimed to ascertain the overall sentiment of the customer, which is less effective for analyzing customer satisfaction on account of customer size, different customer locations, and different leisure holidays. Sentiment analysis via online reviews can assist different businesses, including foot bath spa services, to better inform the development of customer segmentation strategies and ensure optimal customer relationship management. Hence, the objective of this paper is to explore foot bath spa leisure consumption sentiment towards different holidays and different cities by applying data mining via online reviews, so as to help optimize customer segmentation. A novel general framework and related sentiment analysis methods were proposed and then conducted through a collection of datasets from customers’ textual reviews of foot bath spa merchants in three cities in China on the Meituan social media platform. Findings confirm that the proposed general framework and methods can be used to gain insights into the swing characteristics of sentiment towards different holidays and different cities, to better develop customer segmentation according to the city-holiday emoticon face patterns obtained through sentiment tendency analysis from online social media review data. The study results can help to develop better customer and marketing strategies, thereby creating sustainable competitive advantages, and can be extended to other fields to support sustainable development.
Greywater as an Alternative Solution for a Sustainable Management of Water Resources—A Review
Authors: Filali Hanen , Barsan Narcis , Souguir Dalila , Nedeff Valentin , Tomozei Claudia , Hachicha Mohamed
Published: January 2022

In this paper, a comprehensive review on greywater is presented. Emphasis is given to the techniques used to treat and recover greywater, and special emphasis is placed on the risk of the existence of the novel coronavirus “SARS-CoV-2” in greywater and the possibility of its spread via the reuse of this water. In general, greywater is considered wastewater collected from domestic sources, with the exclusion of toilet water (which is considered as blackwater). Greywater represents 50 to 80% of the total volume of wastewater all over the world. This review provides various aspects related to greywater, such as origins, characteristics, and existing guidelines for greywater proper treatment and reuse. Several approaches and techniques have been developed to study the performance of different greywater treatment systems. These methods are critically discussed in this article. In the context of sustainable development, water management, and taking into account the scarcity of water resources, particularly in arid and semi-arid areas, the use of treated greywater is one of the alternatives methods that can reduce the burden of withdrawals from the resource. In addition, some successful examples of greywater valuation experiences in Tunisia were examined.