bluuebunny/crossref_metadata_2025 huggingface dataset:
Trials and Tribulations of Collecting Evidence on Effectiveness in Disability-Inclusive Development: A Narrative Review
Authors: Kuper Hannah , Davey Calum , Banks Lena Morgon , Shakespeare Tom
Published: September 2020

Disability-inclusive development is important because there are a billion people with disabilities, and they often fall behind in income, education, health, and wellbeing. More and better evidence is needed on the effectiveness of how development interventions include and target people with disabilities. This review outlines some of the methodological challenges facing impact evaluations of disability-inclusive development interventions. Identifying people with disabilities is complex. Most approaches focus on impairment or functional limitations. They may or may not recognise environmental or personal factors, which influence the experience of disability. The Washington Group Short Set is widely endorsed for disability assessment; the addition of anxiety and depression items may enhance this tool further. The appropriate outcomes for the impact evaluation should be selected based on the aims and target audience of the intervention, the availability of appropriate tools, and after consultation with people with disabilities. New and better tools are needed to measure the range of impacts that may occur with greater accuracy, including impacts that are direct/indirect, proximal/distal, intended/unintended, and positive/negative. Disaggregation of data by impairment type is recommended to understand the effectiveness of interventions for different groups where the sample size is sufficient to allow meaningful comparisons. The inclusion of people with disabilities throughout the research process will improve the quality and acceptability of the study conducted.
Utilisation of Mass and Night Ventilation in Decreasing Cooling Load Demand
Authors: Darmanis Michael , Çakan Murat , Moustris Konstantinos P. , Kavadias Kosmas A. , Nikas Konstantinos-Stefanos P.
Published: September 2020

The building sector consumes 36% of the world’s energy and produces around 40% of energy-related carbon emissions. While the building industry moves towards a zero net greenhouse-gas emission policy, ventilation is, and will be, a necessity for the preservation of air quality—especially in climates defined by unsavoury conditions. Therefore, a “mixing mode” cooling system was employed to lower the required energy consumption at an earthen building situated in the premises of Istanbul Technical University. A room of the high-mass earthen building was monitored under different ventilation and shading conditions. Night ventilation was conducted using two modes, 3.2 and 2.3 air changes per hour, and the air conditioning unit, operating from 08:00 to 17:00, had a set temperature of 23 ∘C. Night ventilation was somewhat impactful, reducing the average expected cooling energy demand up to 27%. Furthermore, the earthen building proved to be extremely effective on moderating extremes of temperature under non-ventilated conditions. During a rather hot day, with an outdoor maximum temperature of 35 ∘C, the indoor maximum temperature of the high-mass building was only 25 ∘C, namely within thermal comfort levels. The diurnal temperature proved to be key in the effective application of night ventilation.
Assessing the Relationship between Access Travel Time Estimation and the Accessibility to High Speed Railway Station by Different Travel Modes
Authors: Zhou Yuyang , Zhao Minhe , Tang Songtao , Lam William H. K. , Chen Anthony , Sze N. N. , Chen Yanyan
Published: September 2020

This paper aims to fill the research gap of the relationship between the access travel time (ATT) estimation and the accessibility to high speed railway (HSR) station. A regression analysis was developed on the basis of risk-return model to analyze the access travel time estimation error (ATTEE). The data sources were 1595 valid interview survey data at Beijing South Railway Station (BSRS), China in October 2016. The factors and scenarios included travel mode, departure time, and travel date, etc. The coefficients of ATT estimation were obtained by different travel modes. The results showed that the expected access travel time (EATT) has positive linear correlation with the actual access travel time (AATT). Accessibility was calculated by the ratio of AATT to EATT. The accessibility coefficients ranged from 0.89 to 1.38 in different travel modes, departure time, and travel dates. A smaller coefficient indicates better travel time reliability and accessibility. This study not only provides a useful tool to estimate the travel time budget required for access to HSR station, but also establishes a connection with the accessibility and ATTEE. It offers an opportunity to estimate ATT to HSR stations by different modes of transport, which can help to better understand how the accessibility of the feeder transport changes at different time periods.
Climatic Causes of Maize Production Loss under Global Warming in Northeast China
Authors: Song Yanling , Linderholm Hans W. , Luo Yi , Xu Jinxia , Zhou Guangsheng
Published: September 2020

Maize (Zea mays L.) is one of the most important staple crops in Northeast China, and yield losses are mainly induced by climate anomalies, plant diseases and pests. To understand how maize yield loss is affected by global warming, daily precipitation and temperatures, together with provincial agricultural data sets, were analyzed. The results showed that the accumulated temperature, an important factor in agricultural productivity, increased by 5% in 1991–2017, compared to 1961–1990, and that the frequency of low temperatures decreased by 14.8% over the same time period. An increase in drought by 21.6% was observed from 1961–1990 to 1991–2017, caused by decreased growing-season precipitation by −4 mm/decade. In addition, days with heavy rain in August and September increased slightly in Northeast China. In general, maize growth responded positively to the increased thermal conditions; in 1961–1990, 22.7% of observed maize yield-loss cases were due to low temperatures, but only 10% in 1991–2017. However, during the same time, the number of drought-induced yield loss cases increased from 27.3% to 46.7%. Moreover, yield loss cases caused by heavy rainstorms increased from 4.5% to 13.3%, indicating that heavy rainstorms have become an increasing threat to agriculture in Northeast China over the last three decades. In total, at least 70% of cases of provincial yield losses in Northeast China over the last three decades could be attributed to climatic factors. The frequency of climate hazards has changed under global warming, resulting in new challenges for agriculture. While drought and low temperatures were the primary causes for climate-induced yield losses before the 1990s, negative impacts from extreme events, mainly drought but also heavy precipitation, have increased in the last three decades, associated with global change. Farmers, agricultural scientists, and government policy makers could use these results when planning for adaptation to climate change.
Effects of Place Attachment and Image on Revisit Intention in an Ecotourism Destination: Using an Extended Model of Goal-Directed Behavior
Authors: Jin Mei-lan , Choi Youngjoon , Lee Choong-Ki , Ahmad Muhammad Shakil
Published: September 2020

This study explores the decision-making process of tourists visiting Guilin, China as an ecotourism destination. An extended model of goal-directed behavior with the inclusion of place attachment and destination image is employed to understand tourists’ revisit intention. This study finds several substantial variables that contribute to leading the behavioral intention of tourists. Results reveal that tourist attitude, positive anticipated emotion, and perceived behavioral control positively influence desire. Tourist desire to visit a destination is an important predictor of behavioral intention, and desire plays a substantial mediating role between attitude, positive anticipated emotion, perceived behavioral control, and behavioral intention. The image of an ecotourism destination is an important antecedent of attitude, perceived behavioral control, and subjective norm. The destination image indirectly influences behavioral intention through attitude, subjective norm, and perceived behavioral control. Destination image also has a direct effect on place attachment, which in turn influences behavioral intention. Findings provide a theoretical framework of understanding tourist behavior and contribute guidelines for developing sustainable ecotourism for central and local governments.
Frameworks on Patterns of Grasslands’ Sensitivity to Forecast Extreme Drought
Authors: Muraina Taofeek O.
Published: September 2020

Climate models have predicted the future occurrence of extreme drought (ED). The management, conservation, or restoration of grasslands following ED requires a robust prior knowledge of the patterns and mechanisms of sensitivity—declining rate of ecosystem functions due to ED. Yet, the global-scale pattern of grasslands’ sensitivity to any ED event remains unresolved. Here, frameworks were built to predict the sensitivity patterns of above-ground net primary productivity (ANPP) spanning the global precipitation gradient under ED. The frameworks particularly present three sensitivity patterns that could manipulate (weaken, strengthen, or erode) the orthodox positive precipitation–productivity relationship which exists under non-drought (ambient) condition. First, the slope of the relationship could become steeper via higher sensitivity at xeric sites than mesic and hydric ones. Second, if the sensitivity emerges highest in hydric, followed by mesic, then xeric, a weakened slope, flat line, or negative slope would emerge. Lastly, if the sensitivity emerges unexpectedly similar across the precipitation gradient, the slope of the relationship would remain similar to that of the ambient condition. Overall, the frameworks provide background knowledge on possible differences or similarities in responses of grasslands to forecast ED, and could stimulate increase in conduct of experiments to unravel the impacts of ED on grasslands. More importantly, the frameworks indicate the need for reconciliation of conflicting hypotheses of grasslands’ sensitivity to ED through global-scale experiments.
Global Importance of Indigenous and Local Communities’ Managed Lands: Building a Case for Stewardship Schemes
Authors: Sangha Kamaljit K.
Published: September 2020

The role of Indigenous peoples and local communities (IPLCs) in sustainably using and managing natural resources is becoming broadly recognised within some international platforms (e.g., the UN Permanent Forum on Indigenous Issues and Intergovernmental Platform on Biodiversity and Ecosystem Services). However, the support for IPLCs to continue managing their land is either completely absent or scanty. This paper presents the value of only four ecosystem services, estimated at USD 1.16 trillion per year, that are delivered from IPLCs managed lands alone (excluding coastal, marine, and other resources). These four ecosystem services (ES), i.e., carbon sequestration, biocontrol, air, and water regulation offer offsite benefits to the wider regional and global populations yet without returns to the IPLCs themselves except for facing more climate and natural disaster-related challenges mainly caused by the actions of mainstream society. It further outlines key challenges and advocates for establishing stewardship mechanisms to promote and support IPLCs land management practices that will effectively help in protecting and preserving biodiversity, water, and other natural resources on Earth to sustain and enhance human well-being.
Thermal Analysis of a New Sliding Smart Window Integrated with Vacuum Insulation, Photovoltaic, and Phase Change Material
Authors: Ahmed Mostafa , Radwan Ali , Serageldin Ahmed , Memon Saim , Katsura Takao , Nagano Katsunori
Published: September 2020

A zero-energy building (ZEB) requires an innovative integration of technologies, in which windows play a paramount role in energy reduction, storage, and generation. This study contributes to four innovative designs of sliding smart windows. It integrates air-gap (AG), phase change material (PCM), photovoltaic (PV), and vacuum glazing (VG) technologies. These smart sliding windows are proposed to generate electricity along with achieving efficient thermal insulations and heat storage simultaneously. A two-dimensional multiphysics thermal model that couples the PCM melting and solidification model, PV model, natural convection in the cavity, and the surface-to-surface radiation model in the vacuum gap are developed for the first time. The model is validated with data in the literature. The transient simulations were carried out to investigate the thermo-electrical performance of a window with an area of 1 m by 1 m for the meteorological conditions of Kuwait city on the 10th of June 2018, where the window was oriented to south direction. The results showed that the total solar heat energy gain per unit window area is 2.6 kWh, 0.02 kWh, 0.22 kWh, 1.48 kWh, and 0.2 kWh for the double AG, AG + PV + PCM + VG, PV + PCM + VG, AG + PV + PCM, and the ventilated AG + PV + PCM + VG, respectively. The results elucidate the advantages of the integration of VG in this integrated sliding smart window. The daily generated PV electrical energy in these systems is around 1.3 kWh, 1.43 kWh, and 1.38 kWh for the base case with double AG, PV + PCM + VG, and the ventilated AG + PV + PCM + VG respectively per unit window area.
The Difference of Knowledge and Behavior of College Students on Plastic Waste Problems
Authors: Situmorang Rospita Odorlina P. , Liang Ta-Ching , Chang Shu-Chun
Published: September 2020

Environmental education in the academic level is the most effective way to increase environmental awareness of college students particularly in handling plastic waste problems. This study aimed to compare the student’s knowledge and behavior on plastic waste problem between environmental science and social science students and to examine the correlation of knowledge and behavior to reduce plastic waste. Through survey of 98 students of National Chung Hsing University, Taichung, Taiwan, we compared the students’ knowledge and behavior on plastic waste problems by t-Test and Chi-square analysis, and we used Kendall’s rank correlation to evaluate the correlation of knowledge and behavior. This study found that the differences in majors resulted in the significant differences in knowledge on the negative impacts of plastic waste, where the students who are majoring in environmental sciences have higher score than the students in social science. Relating behaviors, the differences in majors also resulted in the significant different behaviors to reduce plastic usage, where the students with major in environmental sciences have the better behavior to reduce plastic usage for daily life than the social science students. These behaviors were shown in purchasing products with plastic packaging, preparing shopping bag, re-using plastic bags, taking own meal box, and having food on the sites to reduce single used plastic package. This study also found the positive correlation between environmental knowledge on plastic waste and behavior to reduce plastic waste in the daily life.
Substitution Effect of Natural Gas and the Energy Consumption Structure Transition in China
Authors: Xiong Weiwei , Yan Liang , Wang Teng , Gao Yuguo
Published: September 2020

A crucial problem which China faces is how to improve its energy consumption structure. In this paper, a system dynamic model of energy substitution based on energy capital and putty-clay theory is adopted, in order to explore the substitution effect of natural gas on the energy consumption structure transition in China. The results demonstrate that the huge capital stocks of coal and oil capacities effectively delay the progress of natural gas substitution for optimizing the energy structure, resulting in a limited effect of natural gas substitution in the short term and a large cumulative effect in the long term. Further scenario analyses indicate that natural gas subsidies and carbon price policies have positive effects on the growth of natural gas consumption and the optimization of the energy structure. We also found that a higher pressure of safety supply may emerge to meet the demand for energy consumption in the energy transition. Recommendations are given for improving the energy consumption structure in China from three aspects: allocating capital investment to natural gas, reducing the transition cost between natural gas and other energy sources, and awareness of the systemic risks in energy consumption.
Engaged Science: Strategies, Opportunities and Benefits
Authors: Keller Adrienne B. , Limaye Vijay S.
Published: September 2020

Science is increasingly intertwined with an array of pressing societal issues, from the coronavirus pandemic response, to environmental concerns, to major national security threats. Meanwhile, scientists remain one of the most trusted groups of professionals and are looked to as both sources of inspiration for society’s collective curiosity and effective messengers of useful technical information. While traditional scientific training has not emphasized the skills needed to coherently translate nuanced scientific research to audiences beyond one’s inner academic circle, today’s scientists (and, prominently, scientists-in-training) are increasingly seeking out ways to engage with such broader audiences and apply their skills to real-world problems. Here, we offer engagement strategies for scientists across levels of scale (e.g., at the individual, lab group, department/university, and cross-institutional levels), highlighting both existing opportunities and areas where improved capacity for science engagement is warranted. We argue that efforts to enhance and harmonize engagement efforts will have multi-faceted benefits, with greater opportunities for science-society dialogues, enhanced equity and inclusivity in such dialogues, and broader professional opportunities for early career scientists. While we acknowledge that the development of effective scientific engagement skills requires interest, effort, time and resources, we argue that the development of skills for effective public engagement is a worthwhile and necessary element of scientific training that enables unique, rewarding, and multifaceted professional opportunities.
Factors Determining City Brand Equity—A Systematic Literature Review
Authors: Górska-Warsewicz Hanna
Published: September 2020

The aim of this study is to analyze factors determining city brand equity (CBE) on the bases of a systematic literature review (SLR) according to a procedure developed by Tranfield. Five databases were searched (Scopus, Web of Sciences, Google Scholar, EBSCO, and Elsevier) for studies containing the term ‘city brand equity’. In addition, databases were searched for ‘destination brand equity’ and ‘place brand equity’ statements focusing on city brands. This SLR contains 36 empirical studies and does not include conference materials, and books. The analysis was based on three issues: general information (author/authors, year of publication, research tools, sample size, city and country as well as sample population), research specification (variables, hypotheses or research questions, statistical methods and research tools), and findings related to CBE and practical implications for destination marketing organizations, and destination or city managers. In summary, there are many factors determining CBE, including brand image, brand quality and brand awareness. These factors are related to cultural, environmental and ecological elements, as well as infrastructure and services offered to tourists. Brand assets related to the perception of the city brands in various aspects also proved to be important.
CuRbanIsME: A Photographic Self-Analysis to Evaluate the Likelihood of the Occurrence of Predatory Crimes in Downtown Hamburg
Authors: Fucà Romina , Cubico Serena
Published: September 2020

In this study, a triangulation of (a) spatial data, (b) self-awareness, and (c) behavioral self-analysis seeks to provide an explanation from an innovative perspective for the likelihood of the occurrence of predatory crimes in the city center. This study does not examine the circumstances in which criminal acts occur. Instead, it focuses on a broader concept that combines both the configurational factors and the behavioral interconnections in which criminal acts occur. We orient the occurrence probability of crime towards appropriate objectives in the presence or absence of attractors/detractors, with interesting variation in the behavior of the acting subject—in our case, a random walker (also called the Random Movement–displacement Agent, or RDMA, in the text), which is the key variable that triggers the occurrence probability of predatory crimes. The relationship between spatial and/or behavioral observations and the probability of the crimes that may result from such observations is limited in this text to “predatory crimes,” which are the most common and light forms of crimes that endanger both human quality of life and the related safety in the city. Such crimes include theft, damage (specifically crime against public property and all similar offensive acts, such as littering and incivility), physical attacks (restrained to attempted violence against defenseless people), robberies, and car thefts (i.e., the most frequent crimes in urban areas). The theory of complexity, specifically as illustrated by the in-depth work of the 20th century German sociologist Niklas Luhmann, also suggests the importance of self-analysis in specific contexts to construct a mosaic of social phenomena. We conducted both a behavioral self-survey and a metric-based self-analysis by measuring random walks (RWs) to achieve some common behaviors—for example, buying food, shopping, or just looking at shop windows—on the streets of downtown Hamburg, Germany. RWs are used in our article to indicate random walks in the city center and any activities that may arise from them, such as protecting oneself from potentially hostile contexts, seeking information, or conforming oneself to official signals and customs. The hundreds of images taken by us in October 2019 during their RWs in Hamburg form a reservoir of our pictures, with the aim of showing the acceptable patterns of random movements–displacements that emerge. This method was primarily discursive but based on the ongoing search for a transformative conduit of behaviors that were intuitively established and observable for us but actually involved a complex process of imaginative ideation that was impossible to promote and pass on to the reader.
Artificial Intelligence in the Urban Environment: Smart Cities as Models for Developing Innovation and Sustainability
Authors: Ortega-Fernández Anabel , Martín-Rojas Rodrigo , García-Morales Víctor Jesús
Published: September 2020

Climate change, overpopulation and the squandering of resources currently pose problems of such magnitude that they require a change in the trend to mitigate their effects. It is essential to make society aware of the facts and to educate the population about the advantages that new technologies can provide for efficient urban development. We therefore ask whether an ordinary medium-sized city can become a Smart City. In order to assess this possibility, our study analyzes different models of Smart Cities implemented in Spain (e.g., Madrid, Barcelona, Valencia, Malaga and Santander), contrasting them with the specific case of one city that is not yet a Smart City (Granada) in order to discuss which strategic technological actions to implement in different topical areas of action: the economy, sustainability, mobility, government, population, and quality of life. The study uses Cohen’s wheel to give researchers in the field a series of indicators and factors that can be used to analyze public data with statistical methods in order to obtain clear positive scores for Madrid and Barcelona. The analysis shows Granada’s deficiencies in the scores for digital government, accessibility, the efficiency of public transport, and mobility, among others. Finally, the data obtained demonstrate the need to implement an integrated dashboard with different proposals in the strategic areas analyzed in order to achieve the transformation of conventional cities into Smart Cities.
MetroScan: A Quick Scan Appraisal Capability to Identify Value Adding Sustainable Transport Initiatives
Authors: Hensher David A. , Quoc Ho Chinh , Liu Wen , Wei Edward , Ellison Richard , Schroeckenthaler Kyle , Cutler Derek , Weisbrod Glen
Published: September 2020

One of the most important features of comprehensive land use and transport planning is an ability to identify candidate projects and policies that are adding value to the sustainable performance of transport networks and to the economy as a whole. Standard methods of identifying a shortlist of projects to assess are often qualitative in nature and/or influenced by prejudices of elected officials or their advisers without a systematic way of narrowing the many potential options to evaluate, in sufficient detail, a truly value-adding set. There is a case to be made for having a capability to undertake, in a timely manner, a scan of a large number of potentially worthy projects and policies that can offer forecasts of passenger and freight demand, benefit–costs ratios and economy-wide outcomes. Such a framework would then be meaningful in the sense of offering outputs that are similar to those that are the focus of assessments that are typically spread over many months, if not years, on very few projects, which may exclude those which have the greatest merit. This paper introduces MetroScan, a strategic-level transport and land use planning application system that allows for mapping of passenger and freight activity, as well as an endogenous treatment of the location of households and firms. We summarise the analytical framework of MetroScan and show its capability (including the many useful outputs) with a case study for a 25 percent reduction in public transport fares across the entire network.
BIM-VE-Based Optimization of Green Building Envelope from the Perspective of both Energy Saving and Life Cycle Cost
Authors: Yuan Zhenmin , Zhou Jianliang , Qiao Yaning , Zhang Yadi , Liu Dandan , Zhu Hui
Published: September 2020

In the context of the increasingly severe energy crisis and global warming, green buildings and their energy-saving issues are being paid more attention in the world. Since envelope optimization can significantly reduce the energy consumption of green buildings, value engineering (VE) technology and building information modeling (BIM) technology are used to optimize the envelope of green buildings, which takes into account both energy saving and life cycle cost. The theoretical framework of optimization for green building envelope based on BIM-VE is proposed, including a BIM model for architecture, a life cycle cost analysis model, energy-saving analysis model, and a value analysis model. In the life-cycle cost model, a mathematical formula for the life-cycle cost is established, and BIM technology is used to generate a bill of quantity. In the energy-saving analysis model, a mathematical formula for energy saving is established, and BIM technology is used for the building energy simulation. In the scheme decision-making sub-model, VE technology integrating life cycle cost with energy saving is used to assess the envelope schemes and select the optimal one. A prefabricated project case is used to simulate and test the established methodology. The important results show that the 16 envelope schemes make the 16 corresponding designed buildings meet the green building evaluation standards, and the optimal envelope scheme is the “energy-saving and anti-theft door + exterior window 2+ floor 1+ exterior wall 1 + inner shear wall + inner partition wall 2 + planted roof” with the value 10.80 × 10−2 MW·h/ten thousand yuan. A significant finding is that the value generally rises with the increase of energy-saving rate while the life cycle cost is irregular with the increase of energy-saving rate. Compared with previous efforts in the literature, this study introduces VE technology into architectural design to further expand the current boundary of building energy-saving theory. The findings and suggestions will provide a valuable reference and guidance for the architectural design industry to optimize the envelope of green buildings from the perspective of both energy saving and life cycle cost.
Exploring Walking Behavior in the Streets of New York City Using Hourly Pedestrian Count Data
Authors: Lee Jae Min
Published: September 2020

This paper explores hourly automated pedestrian count data of seven locations in New York City to understand pedestrian walking patterns in cities. Due to practical limitations, such patterns have been studied conceptually; few researchers have explored walking as a continuous, long-term activity. Adopting an automated pedestrian counting method, we documented and observed people walking on city streets and found that unique pedestrian traffic patterns reflect land use, development intensity, and neighborhood characteristics. We observed a threshold of thermal comfort in outdoor activities. People tend to seek shade and avoid solar radiation stronger than 1248 Wh/m2 at an average air temperature of 25 °C. Automated collection of detailed pedestrian count data provides a new opportunity for urban designers and transportation planners to understand how people walk and to improve our cities to be less dependent on the automobile.
Assessment of Community Vulnerability to Different Types of Urban Floods: A Case for Lishui City, China
Authors: Yang Quntao , Zhang Shuliang , Dai Qiang , Yao Rui
Published: September 2020

Urban flooding is a severe and pervasive hazard caused by climate change, urbanization, and limitations of municipal drainage systems. Cities face risks from different types of floods, depending on various geographical, environmental, and hydrometeorological conditions. In response to the growing threat of urban flooding, a better understanding of urban flood vulnerability is needed. In this study, a comprehensive method was developed to evaluate the vulnerability of different types of urban floods. First, a coupled urban flood model was built to obtain the extent of influence of various flood scenarios caused by rainfall and river levee overtopping. Second, an assessment framework for urban flood vulnerability based on an indicator method was used to evaluate the vulnerability in different flood hazard scenarios. Finally, the method was applied to Lishui City, China, and the distribution and pattern of urban flood vulnerability were studied. The results highlight the spatial variability of flooding and the vulnerability distributions of different types of urban floods. Compound floods were identified to cause more severe effects in the urban areas.
False Alarms Analysis of Wind Turbine Bearing System
Authors: Chacón Ana María Peco , Ramírez Isaac Segovia , Márquez Fausto Pedro García
Published: September 2020

Wind turbines are complex systems that use advanced condition monitoring systems for analyzing their health status. The gearbox is one of the most critical components due to its elevated downtime and failure rate. Supervisory Control and Data Acquisition systems are employed in wind farms for condition monitoring and control in real time. The volume and variety of the data require novel and robust techniques for data analysis. The main novelty of this work is the development of a new modelling of the temperature curve of the gearbox bearing versus wind speed to detect false alarms. An approach based on data partitioning and data mining centers is employed. The wind speed range is divided into intervals to increase the accuracy of the model, where the centers are considered representative samples in the modelling. A method based on the alarm detection is developed and studied together with the alarms report provided by a real case study. The results obtained allow the identification of critical alarm periods outside the confidence interval. It is validated that the study of alarm identification, pre-filtered data, state variable, and output power contribute to the detection of the false alarms.
How Will Mechanizing Mung Bean Harvesting Affect Women Hired Laborers in Myanmar and Bangladesh?
Authors: Farnworth Cathy Rozel , San Aye Moe , Kundu Nanda Dulal , Islam Md Monjurul , Jahan Rownok , Depenbusch Lutz , Nair Ramakrishnan Madhavan , Myint Theingi , Schreinemachers Pepijn
Published: September 2020

Farm mechanization can promote the economic sustainability of small farms and in the context of cereal-legume systems strengthen plant protein-based diets, which support human health and environmental sustainability. However, mechanization inevitably displaces hired laborers who depend on manual farm work for their income. Few studies have systematically analyzed the differential effects on women and men hired labor. Here, we use primarily qualitative data from Myanmar and Bangladesh to test the hypothesis that the effects of mechanizing mung bean harvesting—which is now commencing in both countries—are likely to weaken women hired workers’ economic and personal empowerment. We focus on rural landless women laborers as an important part of the agricultural labor force. The results broadly confirm the hypothesis, although there is variation between the research sites. Harvesting mung beans is the only fieldwork task available to many landless women, particularly married women with children, in both countries. Gendered restrictions on women’s mobility and their role as family caregivers, as well as norms about appropriate work for women and men, restrict women’s options regarding alternative work both locally and further away. The effects are likely to be particularly negative in locations with minimal off-farm economic diversity and more restrictive gender norms. Overall, men across all sites will be less affected since their participation rates in harvesting and post-harvest processing are low. They are less restricted by gender norms and can travel freely to find work elsewhere. However, women and men in low asset households will find it problematic to find alternative income sources. Less restrictive gender norms would help to mitigate the adverse effects of farm mechanization. It is important to invest in gender transformative approaches to stimulate change in norms and associated behaviors to make a wider range of choices possible.
Assessment of the Impact of the Spatial Extent of Land Subsidence and Aquifer System Drainage Induced by Underground Mining
Authors: Guzy Artur , Malinowska Agnieszka A.
Published: September 2020

The environmental impact assessment of underground mining usually includes the direct effects of exploitation. These are damage to rock mass and land subsidence. Continuous dewatering of the aquifer system is, however, necessary to carry out underground mining operations. Consequently, the drainage of the aquifer system is observed at a regional scale. The spatial extent of the phenomenon is typically much wider than the direct impact of the exploitation. The research presented was, therefore, aimed at evaluating both the direct and the indirect effects of underground mining. Firstly, the spatial extent of land subsidence was determined based on the Knothe theory. Secondly, underground mining-induced drainage of the aquifers was modeled. The 3D finite-difference hydrogeological model was constructed based on the conventional groundwater flow theory. The values of model hydrogeological parameters were determined based on literature and empirical data. These data were also used for model calibration. Finally, the results of the calculations were compared successfully with the field data. The research results presented indicate that underground mining’s indirect effects cover a much larger area than direct effects. Thus, underground mining requires a broader environmental assessment. Our results can, therefore, pave the way for more efficient management of groundwater considering underground mining.
Digital Twin Aided Sustainability and Vulnerability Audit for Subway Stations
Authors: Kaewunruen Sakdirat , Peng Shijie , Phil-Ebosie Olisa
Published: September 2020

Digital twin (DT) or so-called ‘building information model (BIM)’ has brought great revolution to the current building industry. Its applications to life cycle management of buildings and infrastructures can further increase the social and economic benefits. As a complete information model, a digital twin integrates the information of a project from different stages of the life cycle into a model, in order to facilitate better asset management and communicate through data visualizations with participants. This paper unprecedently introduces a digital-twin aided life cycle assessment to evaluate a subway station. Dadongmen subway station in Hefei was used as a case study. This new study benchmarks the cost estimation and carbon emission at each life cycle stage of the project. The cost in the construction stage of the project is the highest, accounting for 78% of the total cost. However, the amount of carbon emissions in the operation and maintenance is higher than the amount during the production of building materials, accounting for 67%. Among them, concrete only accounts for 43.66% of the carbon emissions of building materials, even though concrete was mainly used for constructing the metro station. Steel bar and aluminum alloy have carbon emissions of 29.73% and 17.64%, respectively. In addition, emerging risks of the subway stations can be identified. The digital twin has been used to illustrate vulnerability and potential solutions to emerging risks, and to assess the suitability through life cycle cost and carbon footprint. This initiative is relatively new to the industry. The new insight into life cycle assessment or LCA (especially carbon footprint over the life cycle) integrated with digital twin applications will enable sustainable development that will enhance resilience of metro railway systems globally.
Nurses’ Readiness for Emergencies and Public Health Challenges—The Case of Saudi Arabia
Authors: Sultan Mohammed Ali Salem , Khorram-Manesh Amir , Carlström Eric , Sørensen Jarle Løwe , Sulayyim Hadi Jaber Al , Taube Fabian
Published: September 2020

This study was aimed at assessing the readiness of 200 emergency nurses in the southern part of Saudi Arabia in the management of public health emergencies, major incidents, and disasters by using quantitative research through a self-reporting validated questionnaire containing 10 different dimensions. All registered nurses working in emergency departments who were willing to participate, of all ages and gender groups, were included. Nurses who were not present during the study period because of vacation or maternity leave, nurses at the managerial level, and nursing aides were excluded. The participating nurses reported good knowledge in almost all investigated aspects of the theoretical dimensions of emergency management. However, they revealed perceived weaknesses in practical dimensions of emergency management and difficulties in assessing their own efforts. There was a significant correlation between qualification and the dimensions of emergency preparedness, epidemiology and surveillance, isolation and quarantine and critical resources, which indicates a need for strengthening their practical contribution as well as their theoretical knowledge. Educational initiatives combining theoretical and practical aspects of emergency management may provide an opportunity to examine nurses’ knowledge, skills, and abilities continuously in an environment with no harm to patients.
Information Values on the Consumer’s Valuation of non-GM Material: The Case of Cooking Oil in Korea
Authors: Nam Kyungsoo , Lim Heesun , Ahn Byeong-il
Published: September 2020

This paper analyzes the changes in consumer preference that may occur when the current Genetically Modified (GM) crops policy is strengthened by applying mandatory labeling to all processed food that uses GM crops as raw materials. We estimate the change in consumers’ willingness to pays for cooking oil before and after providing the information on GM raw material contained in the currently marketed cooking oil to consumers. To this end, a hypothetical cooking oil product using non-GM raw materials is set up, and consumers are classified into high and low awareness groups for genetically modified organisms (GMOs) and those who prefer and do not prefer organic foods. The Contingent Valuation Method (CVM) analyses show the amount of willingness to pay before providing the information for high and low awareness groups for GMOs increases from 23.8 dollars and 18.0 dollars per 1.8 L to 25.6 dollars and 20.3 dollars, respectively. The value of the information on GM raw materials of a consumer group with high prior knowledge of GMOs is estimated to be 1.8 dollars, and the value of the information of a consumer group with low prior knowledge is estimated to be 2.4 dollars per 1.8 L. The willingness to pay (WTP) change according to the information provision of the group with the highest prior knowledge of GMOs is estimated to be 0.6 dollars, and the WTP change is estimated to be 3.6 dollars for the group with lowest prior knowledge. This implies that the lower the prior knowledge possessed by a consumer, the higher the value of information on GM raw materials elicited.
Environmental Impact Assessment of the Transportation Sector and Hybrid Vehicle Implications in Palestine
Authors: Hassouna Fady M. A , Al-Sahili Khaled
Published: September 2020

During the last two decades, the development of sustainable transportation systems has been highlighted as a key element in solving environmental problems related to climate change and impacts on greenhouse gases. Globally, the transportation sector has become one of the main contributors to these environmental problems. Thus, the environmental impact assessment of this sector and the implications of new vehicle technologies have begun to be considered as first steps for any long-term future strategies in this sector. In Palestine, the lack of environmental data related to the transportation sector and the absence of studies that address the new vehicle technologies (such as hybrid vehicles) and their future implications make it difficult to set up any future strategies or plans. In this study, the current and the future environmental impacts of the transportation sector have been assessed, and the future implications of hybrid vehicles have been determined. The gross domestic product (GDP), population, and the number of vehicles for the period 1994–2018 have been used to develop an auto regressive integrated moving average (ARIMA) prediction model for the future number of vehicles. Then, the total traveled kilometers and the total consumed fuels (by diesel and gasoline vehicles) have been predicted. After that, the current and future (2020 and 2030) greenhouse gas (GHG) emissions, including CO2, N2O, and CH4, have been estimated. Finally, the future implications of hybrid vehicles, based on two scenarios (10% and 20% hybrid vehicles) have been estimated. The results have showed that the estimated CO2, N2O, and CH4 emissions from the transportation sector in 2020 are 4,842,164.5, 213.8, and 445.8 tons, which are very high, and even much higher than the total national emissions of 2014 (the only officially available data). Moreover, in 2030, replacing 20% of internal combustion engine vehicles (ICEVs) by hybrid vehicles would lead to 4.66% and 13.31% reductions in CO2 and N2O, respectively, as compared to 100% ICEVs, while the CH4 emissions will increase. However, the overall CO2-equivalent will decrease by 5%; therefore, a more sustainable transport system will be achieved.
Why Not Green Marketing? Determinates of Consumers’ Intention to Green Purchase Decision in a New Developing Nation
Authors: Nekmahmud Md. , Fekete-Farkas Maria
Published: September 2020

Consumers are paying close attention to green products to reduce the environmental impact on health issues. As the scope of this research, this current study focuses on determining consumers’ purchase decisions regarding green products using a survey conducted in a fast-growing developing country. This research was descriptive and considered a conceptual framework for extending the Theory of Planned Behavior (TPB), which was selected as the primary theoretical model. The significant contributions and main objectives of this study are as follows—to explore the present scenario of green marketing in Bangladesh with previous studies, and to fill a research gap regarding green purchase decisions by applying the TPB model with adding additional constructs, such as environmental concerns, green perceived quality, and future green estimates. A range of qualitative and quantitative techniques were adopted to collect data from the target groups, where a sample of young educated Bangladeshi consumers (n = 638) was used to consider the measurement and structural models by applying a partial least squares-structural equation modelling (PLS-SEM) method. The empirical findings show that consumers’ environmental concern (EC), green perceived benefits (GPB), green awareness of price (GAP), green willingness to purchase (GWP), and future estimation of green marketing (GFE) have a strong positive influence on consumer’ green purchase decision (GPD). Still, the green perceived quality (GPQ) has a negative influence on green purchase decisions (GPD). To inform consumers about green or eco-friendly products, this study provides valuable suggestions to companies, marketers, and policymakers for designing green marketing tools such as green advertising, green branding, and eco-labels. Based on these findings, it gives some managerial insights for the promotion of green products and green marketing.
Tourism Stakeholder Perspective for Disaster-Management Process and Resilience: The Case of the 2018 Hokkaido Eastern Iburi Earthquake in Japan
Authors: Chan Chung-Shing , Nozu Kazuo , Zhou Qinrou
Published: September 2020

The 2018 Eastern Iburi Hokkaido earthquake in Japan caused infrastructural damage and tourism disruption within a natural-hazard-prone country. This research advances the theoretical foundation and development of natural disaster management through a series of in-depth interviews with the local tourism stakeholders on the investigation of how the role of tourism across the pre-to-post earthquake period is considered by the stakeholders. These local tourism stakeholders have performed or expected a range of actions related to the disaster-management process and contributed to destination resilience. The qualitative analysis discovers, firstly, the multi-functionality of tourism resources, spaces, and industries for disaster preparation; secondly, the evacuation and emergency arrangements during the prodromal and emergency phases; and moreover, more possibilities of restoring the affected destination to a state of long-term (re)development during the post-disaster phases. Information and communication barriers are the major difficulties to be tackled for disaster preparedness. Product creation, image improvement, local knowledge enrichment, and, more importantly, people-to-people and people-to-place connections all contribute to the result of sustainable tourism development. From the destination resilience perspective, collaboration is the key determinant of an improved Hokkaido region. This factor could integrate stakeholders through shared local values, experiences, and memories of disaster risk communication and strategies for preparedness.