bluuebunny/crossref_metadata_2025 huggingface dataset:
Electromechanical Response of Smart Ultra-High Performance Concrete under External Loads Corresponding to Different Electrical Measurements
Authors: Kim Min Kyoung , Le Huy Viet , Kim Dong Joo
Published: February 2021

This study investigated the electromechanical response of smart ultra-high-performance concretes (smart UHPCs), containing fine steel slag aggregates (FSSAs) and steel fibers as functional fillers, under external loads corresponding to different measurement methods. Regardless of different measurement methods of electrical resistance, the smart UHPCs under compression showed a clear reduction in their electrical resistivity. However, under tension, their electrical resistivity measured from direct current (DC) measurement decreased, whereas that from alternating current (AC) measurement increased. This was because the electrical resistivity, from DC measurement, of smart UHPCs was primarily dependent on fiber crack bridging, whereas that from AC measurement was dependent on tunneling effects.
Estimation of Vehicle Attitude, Acceleration, and Angular Velocity Using Convolutional Neural Network and Dual Extended Kalman Filter
Authors: Ok Minseok , Ok Sungsuk , Park Jahng Hyon
Published: February 2021

The acceleration of a vehicle is important information in vehicle states. The vehicle acceleration is measured by an inertial measurement unit (IMU). However, gravity affects the IMU when there is a transition in vehicle attitude; thus, the IMU produces an incorrect signal output. Therefore, vehicle attitude information is essential for obtaining correct acceleration information. This paper proposes a convolutional neural network (CNN) for attitude estimation. Using sequential data of a vehicle’s chassis sensor signal, the roll and pitch angles of a vehicle can be estimated without using a high-cost sensor such as a global positioning system or a six-dimensional IMU. This paper also proposes a dual-extended Kalman filter (DEKF), which can accurately estimate acceleration/angular velocity based on the estimated roll/pitch information. The proposed method is validated by real-car experiment data and CarSim, a vehicle simulator. It accurately estimates the attitude estimation with limited sensors, and the exact acceleration/angular velocity is estimated considering the roll and pitch angle with de-noising effect. In addition, the DEKF can improve the modeling accuracy and can estimate the roll and pitch rates.
Elderly Perception on the Internet of Things-Based Integrated Smart-Home System
Authors: Jo Tae Hee , Ma Jae Hoon , Cha Seung Hyun
Published: February 2021

An integrated smart home system (ISHS) is an effective way to improve the quality of life of the elderly. The elderly’s willingness is essential to adopt an ISHS; to the best of our knowledge, no study has investigated the elderly’s perception of ISHS. Consequently, this study aims to investigate the elderly’s perception of the ISHS by comprehensively evaluating its possible benefits and negative responses. A set of sensors required for an ISHS was determined, and interviews were designed based on four factors: perceived comfort, perceived usability, perceived privacy, and perceived benefit. Subsequently, technological trials of the sensor-set followed by two focus group interviews were conducted on nine independently living elderly participants at a senior welfare center in South Korea. Consistent with previous studies, the results of this investigation indicate that elderly participants elicited negative responses regarding usability complexity, and discomfort to daily activities. Despite such negative responses, after acquiring enough awareness about the ISHS’s benefits, the elderly acknowledged its necessity and showed a high level of willingness. Furthermore, these results indicate that for a better adoption of an ISHS, sufficient awareness regarding its benefits and development of elderly-friendly smart home sensors that minimize negative responses are required.
Multimodal Deep Learning and Visible-Light and Hyperspectral Imaging for Fruit Maturity Estimation
Authors: Garillos-Manliguez Cinmayii A. , Chiang John Y.
Published: February 2021

Fruit maturity is a critical factor in the supply chain, consumer preference, and agriculture industry. Most classification methods on fruit maturity identify only two classes: ripe and unripe, but this paper estimates six maturity stages of papaya fruit. Deep learning architectures have gained respect and brought breakthroughs in unimodal processing. This paper suggests a novel non-destructive and multimodal classification using deep convolutional neural networks that estimate fruit maturity by feature concatenation of data acquired from two imaging modes: visible-light and hyperspectral imaging systems. Morphological changes in the sample fruits can be easily measured with RGB images, while spectral signatures that provide high sensitivity and high correlation with the internal properties of fruits can be extracted from hyperspectral images with wavelength range in between 400 nm and 900 nm—factors that must be considered when building a model. This study further modified the architectures: AlexNet, VGG16, VGG19, ResNet50, ResNeXt50, MobileNet, and MobileNetV2 to utilize multimodal data cubes composed of RGB and hyperspectral data for sensitivity analyses. These multimodal variants can achieve up to 0.90 F1 scores and 1.45% top-2 error rate for the classification of six stages. Overall, taking advantage of multimodal input coupled with powerful deep convolutional neural network models can classify fruit maturity even at refined levels of six stages. This indicates that multimodal deep learning architectures and multimodal imaging have great potential for real-time in-field fruit maturity estimation that can help estimate optimal harvest time and other in-field industrial applications.
Wearable and Nearable Biosensors and Systems for Healthcare
Authors: Di Rienzo Marco , Mukkamala Ramakrishna
Published: February 2021

Biosensors and systems in the form of wearables and “nearables” (i [...]
Investigation on the Role of Ionic Liquids in the Output Signal Produced by Bacterial Cellulose-Based Mechanoelectrical Transducers
Authors: Di Pasquale Giovanna , Graziani Salvatore , Kurukunda Santhosh , Pollicino Antonino , Trigona Carlo
Published: February 2021

Green sensors are required for the realization of a sustainable economy. Biopolymer-derived composites are a meaningful solution to such a needing. Bacterial Cellulose (BC) is a green biopolymer, with significant mechanical and electrical properties. BC-based composites have been proposed to realize generating mechanoelectrical transductors. The transductors consist of a sheet of BC, impregnated of Ionic Liquids (ILs), and covered with two layers of Conducting Polymer (CP) as the electrodes. Charges accumulate at the electrodes when the transductor is bent. Generating sensors can produce either Open Circuit (OC) voltage or Short Circuit (SC) current. In the paper, the OC voltage and SC current, generated from BC-based composites, in a cantilever configuration and subjected to dynamic deformation are compared. The influence of ILs in the transduction performance, both in the case of OC voltage and SC current is investigated. Experimental investigations of structural, chemical, and mechanoelectrical transduction properties, when the composite is dynamically bent, are performed. The mechanoelectrical investigation has been carried on both in the time and in the frequency domains. Reported results show that no relevant changes can be obtained because of the use of IL when the OC voltage is considered. On the contrary, dramatic changes are observed for the case of SC current, whose value increases by about two orders of magnitude.
Remote Reflectivity Sensor for Industrial Applications
Authors: Cavedo Federico , Esmaili Parisa , Norgia Michele
Published: February 2021

A low-cost optical reflectivity sensor is proposed in this paper, able to detect the presence of objects or surface optical properties variations, at a distance of up to 20 m. A collimated laser beam is pulsed at 10 kHz, and a synchronous digital detector coherently measures the back-diffused light collected through a 1-inch biconvex lens. The sensor is a cost-effective solution for punctual measurement of the surface reflection at different distances. To enhance the interference immunity, an algorithm based on a double-side digital baseline restorer is proposed and implemented to accurately detect the amplitude of the reflected light. As results show, the sensor is robust against ambient light and shows a strong sensitivity on a wide reflection range. The capability of the proposed sensor was evaluated experimentally for object detection and recognition, in addition to dedicated measurement systems, like remote encoders or keyphasors, realized far from the object to be measured.
Smart Wearables for Cardiac Autonomic Monitoring in Isolated, Confined and Extreme Environments: A Perspective from Field Research in Antarctica
Authors: Moraes Michele M. , Mendes Thiago T. , Arantes Rosa M. E.
Published: February 2021

Antarctica is a space-analog ICE (isolated, cold, and extreme) environment. Cardiovascular and heart autonomic adjustments are key-adaptive physiological responses to Antarctica, both in summer camps and in research stations winter-over. Research fieldwork in ICE environments imposes limitations such as energy restriction, the need for portable and easy-to-handle resources, and resistance of materials to cold and snow/water. Herein, we present the methods we use for cardiac monitoring in the Antarctic field, the limitations of the equipment currently available, and the specific demands for smart wearables to physiological and health tracking in ICE environments, including the increased remote monitoring demand due to COVID-19 restrictions.
The Hidden Characteristics of Land-Use Mix Indices: An Overview and Validity Analysis Based on the Land Use in Melbourne, Australia
Authors: Jiao Jiacheng , Rollo John , Fu Baibai
Published: February 2021

The land-use mix index is a way to quantify the mixture of land-use patterns. Due to practical limitations, few studies have highlighted the validity of land-use mix indices. This paper aims to explore the potential characteristics of land-use mix indices using a three-step screening method. The data precision of indices was concluded after the first-step screening. A total of 10 virtual blocks and 217 blocks in Melbourne city center served as a case study and reflected the various land-use structures. The randomized controlled comparative trial was incorporated into the second- and third-screening to indicate the applicable condition and validity. The results illustrate that the value Herfindahl–Hirschman index related to the diversity of land-use types. The results also confirmed that Dissimilarity index-I was significantly associated with the balance status of the land-use mix. Entropy index reflects the evenness but did not correlate to the diversity or balance of the land-use mix. In addition, the study also provides a set of general recommendations for the application conditions of land-use mix indices.
The Contribution of IoT to the Implementation of Preventive Conservation According to European Standards: The Case Study of the “Cannone” Violin and Its Historical Copy
Authors: Manfriani Chiara , Gualdani Giovanni , Goli Giacomo , Carlson Bruce , Certo Anna Rita , Mazzanti Paola , Fioravanti Marco
Published: February 2021

One of the main goals of preventive conservation (PC) is to reduce the risk of possible damage produced by the interaction between tangible heritage objects and their conservation environments. This work aims to introduce the European standard EN 15757:2010 as a potential tool for implementing effective museum PC, and it details the potential contributions of both active environmental control and Internet of Things (IoT) technologies in this regard. An application of this strategy is proposed by means of a case study of the conservation of two historical violins, part of a small but significant museum collection in the City of Genoa dedicated to Paganini, whose value is inestimable. According to the standard, monitoring of environmental parameters was carried out for more than four years in the Paganini Hall of Palazzo Doria-Tursi Museum. A remote-control system was implemented, installing digital sensors in the room and in the two showcases. The data were continuously collected through an integrated platform for supervision, monitoring and shared management, based on web-cloud-IoT technology. The analysis of climate data and the assessment of the “historic climate” led to the installation of an active control system on the display cases of the “Cannone” violin and its historical copy. The intervention resulted in a cost-effective improvement in the conservation conditions of the two objects, with an efficient system of warning and safety alarms and a protocol of resolution actions still active and ongoing. The application of IoT systems in monitoring and controlling the indoor climate of heritage collections facilitated the care of the objects at a cost reduction for the institution.
Evaluation of a New Urban Cycling Infrastructure in Caceres (Spain)
Authors: Plasencia-Lozano Pedro
Published: February 2021

The purpose of the research is the evaluation of the impact of a new bike lane network built in Cáceres (Spain) in October 2019, a city with a weak tradition in the use of bicycles. Prior to the new project, the percentage of displacement by bicycle was under 0.2% (by contrast, private cars was 56%). The project has introduced a real network in 33 new streets and avenues, and 250 new parking places for bicycles. The impact has been evaluated by two online surveys, one conducted in November–December 2019 just after the inauguration, and the other conducted in January–February 2020. For that, the impact evolution after the first 3 months has also been evaluated. The result allows to analyze the citizens’ response to the new infrastructure; the main conclusion is that the effect of the built infrastructure is clearly positive in terms of new users, new potential users, and bike general image for the citizens. Moreover, this positive effect has grown after the first 3 months.
Mobility Choices—An Instrument for Precise Automatized Travel Behavior Detection & Analysis
Authors: Feilhauer Thomas , Braun Florian , Faller Katja , Hutter David , Mathis Daniel , Neubauer Johannes , Pogatschneg Jasmin , Weber Michelle
Published: February 2021

Within the Mobility Choices (MC) project we have developed an app that allows users to record their travel behavior and encourages them to try out new means of transportation that may better fit their preferences. Tracks explicitly released by the users are anonymized and can be analyzed by authorized institutions. For recorded tracks, the freely available app automatically determines the segments with their transportation mode; analyzes the track according to the criteria environment, health, costs, and time; and indicates alternative connections that better fit the criteria, which can individually be configured by the user. In the second step, the users can edit their tracks and release them for further analysis by authorized institutions. The system is complemented by a Web-based analysis program that helps authorized institutions carry out specific evaluations of traffic flows based on the released tracks of the app users. The automatic transportation mode detection of the system reaches an accuracy of 97%. This requires only minimal corrections by the user, which can easily be done directly in the app before releasing a track. All this enables significantly more accurate surveys of transport behavior than the usual time-consuming manual (non-automated) approaches, based on questionnaires.
Components of Countries’ Regulative Dimensions and Voluntary Carbon Disclosures
Authors: Mateo-Márquez Antonio J. , González-González José M. , Zamora-Ramírez Constancio
Published: February 2021

The previous literature has demonstrated that countries’ regulative contexts positively influence voluntary corporate carbon disclosures. However, little research has been conducted into the relationship between the different components of the regulative dimension of institutions and voluntary carbon disclosure. Drawing on the theoretical framework of New Institutional Sociology (NIS), this study examines the influence of the different components of the regulative context (rules; monitoring mechanisms and punishments; rewards) both on firms’ propensity to disclose carbon information and on the quality of disclosures. Based on a global sample of 2176 companies that participated in the 2015 Carbon Disclosure Project (CDP) climate report, this paper uses the Heckman two-stage approach in an attempt to model firms’ decisions as to whether to disclose carbon information, as well as the quality of said disclosures. The results show that the regulative components positively influence firms’ decisions to voluntarily disclose carbon data. They also show that the quality of disclosures is positively affected by climate-related rules and rewards, but that it is not influenced by monitoring mechanisms and punishments related to climate change. This paper is the first to take the step of addressing the components of the climate-related regulative pillar of institutions in the same regression setting.
Effectiveness of China’s Labeling and Incentive Programs for Household Energy Conservation and Policy Implications
Authors: Li Zhuangai , Cao Xia
Published: February 2021

With incomplete information about the potential benefits and costs of energy-using durables, households may be unwilling to invest in products that are more energy-efficient but also more expensive in purchase decisions. To deal with this problem, labeling policy has been developed to guide customers’ energy consumption decisions by providing understandable information to evaluate the energy efficiency of products. Over the last 20 years, China has implemented a series of mandatory and voluntary energy labeling and incentive policies to reduce energy use and improve the energy efficiency of durable goods in dwellings. This study has employed empirical survey data from the Chinese General Social Survey to study the implementation effectiveness of these policies and explore demographic factors behind consumer investments in energy-saving durables by using the logistic regression model. Statistical results show that energy efficiency labeling, incentive programs, education levels, and regional differences of customers appear to be strong predictors for investing in energy-efficient air conditioners and washing machines. House size is a decisive factor in driving consumers to choose energy-saving air conditioners. In light of the above results, the study suggests improved policy for motivating consumers to purchase energy-efficient appliances in dwellings.
Market Dependency as Prohibitive of Agroecology and Food Sovereignty—A Case Study of the Agrarian Transition in the Scottish Highlands
Authors: Wach Elise
Published: February 2021

While there have been calls amongst the more ‘political’ or ‘radical’ agroecology and food sovereignty advocates for a break from capitalist food systems, conceptualisations of capitalism, and thus counter-capitalism, vary widely. The movements have largely presented small-scale producers and peasants as alternatives to industrial food systems, and have focused on reducing input dependency as a path towards autonomy of producers and the realisation of agroecological food systems. An alternative to this approach is presented here through applying Ellen M. Wood’s conceptualisation of capitalism as characterised by ‘market dependency’ to the case of the agrarian transition in the Scottish Highlands. This article demonstrates the specific ways in which market dependency, including for agricultural outputs, not just inputs, leads to a divergence from agroecological food systems. It argues that identifying ‘market dependency’ as a defining characteristic of capitalism could strengthen and refine the focus of agroecology and food sovereignty movements.
Lean Manufacturing and Ergonomics Integration: Defining Productivity and Wellbeing Indicators in a Human–Robot Workstation
Authors: Colim Ana , Morgado Rita , Carneiro Paula , Costa Nélson , Faria Carlos , Sousa Nuno , Rocha Luís A. , Arezes Pedro
Published: February 2021

Lean Manufacturing (LM), Ergonomics and Human Factors (E&HF), and Human–Robot Collaboration (HRC) are vibrant topics for researchers and companies. Among other emergent technologies, collaborative robotics is an innovative solution to reduce ergonomic concerns and improve manufacturing productivity. However, there is a lack of studies providing empirical evidence about the implementation of these technologies, with little or no consideration for E&HF. This study analyzes an industrial implementation of a collaborative robotic workstation for assembly tasks performed by workers with musculoskeletal complaints through a synergistic integration of E&HF and LM principles. We assessed the workstation before and after the implementation of robotic technology and measured different key performance indicators (e.g., production rate) through a time study and direct observation. We considered 40 postures adopted during the assembly tasks and applied three assessment methods: Rapid Upper Limb Assessment, Revised Strain Index, and Key Indicator Method. Furthermore, we conducted a questionnaire to collect more indicators of workers’ wellbeing. This multi-method approach demonstrated that the hybrid workstation achieved: (i) a reduction of production times; (ii) an improvement of ergonomic conditions; and (iii) an enhancement of workers’ wellbeing. This ergonomic lean study based on human-centered principles proved to be a valid and efficient method to implement and assess collaborative workstations, foreseeing the continuous improvement of the involved processes.
Efficiency Evaluation and Selection Strategies for Green Portfolios under Different Risk Appetites
Authors: Yu Wencheng , Liu Shaobo , Ding Lili
Published: February 2021

Since investors have diverse risk motives for green investments, this paper uses data envelopment analysis (DEA) and simulation to accurately evaluate the efficiency of green portfolios from the perspective of investors’ subjective risks and accordingly provide suitable investment selection strategies. On the one hand, the paper integrates investors’ risk preferences with efficiency evaluation models under the framework of behavioral finance, and then constructs a green portfolio efficiency evaluation model based on cumulative prospect theory on the basis of defining green portfolio efficiency. On the other hand, by bringing realistic Chinese stock data into the evaluation model and solving it with the help of large number iteration and DEA, the trends of frontier movements and selection options of green portfolios under the influence of different risk preferences are obtained and analyzed. The empirical simulation reveals that: (1) if investors’ risk aversion at return rises, it will not only reduce the expected prospective value of the green portfolio, but also shift down and flatten the frontier of the green portfolio; indicating that investors will tend to reduce their risk-tolerant attitude and prefer a conservative strategy under the same value condition. (2) If investors increase their risk-seeking in the case of losses, this will raise the expected prospect value of the green portfolio and lead to an inward and steeper green portfolio frontier; suggesting that, given equal value, investors prefer to increase their risk-taking capacity and use aggressive strategies in the hope of turning the profit around. (3) The efficiency results of green portfolios are very sensitive to changes in investors’ risk preferences, suggesting that investors need to select and match green portfolios with their own risk appetite levels. The above findings enrich and expand the risk types and evaluation models in previous green investment studies from the perspective of investors’ subjective risk.
Drinking-Related Metacognitive Guidance Contributes to Students’ Expression of Healthy Drinking Principles as Part of Biology Teaching
Authors: Zion Michal , Cohen Hagit
Published: February 2021

Biology education has adopted the goal of educating future generations about sustainable, healthy habits. The current paper focuses on drinking-related nutritional literacy—the characteristic of health education that refers to aspects of healthy drinking: drinking enough water and fewer sugar-sweetened beverages (SSBs). The study aims to foster school students’ critical thinking about the quality and the quantity of what they drink in everyday life. Facilitating students’ metacognitive awareness was achieved, as they were engaged in a biology learning activity centered on the importance of healthy drinking in everyday life. The study focused on two research questions: 1. What is the contribution of drinking-related metacognitive guidance to the development of metacognitive awareness concerning healthy drinking among students? 2. What is the contribution of drinking-related metacognitive guidance to the way students express the principles and importance of healthy drinking as part of their metacognitive awareness thinking process? The findings indicate a quantitative and qualitative improvement in drinking-related metacognitive awareness among those students who received metacognitive guidance as part of biology teaching. This paper suggests that metacognitive guidance has a significant pedagogical potential to improve sustainable healthy habits among children.
The Effect of Enclave Adjustment on the Urban Energy Intensity in China: Evidence from Wuhan
Authors: Li Zhi , Yan Ruyi , Zhang Zuo , Sun Huaping
Published: February 2021

Due to the needs of China’s rapid urbanization, enclave adjustments between districts in a city have become a national phenomenon in recent decades. However, it is rarely discussed in the literature whether this adjustment can have an impact on urban energy intensity. Taking Wuhan’s enclave adjustment in 2009 as a sample and a city-level panel dataset during the period of 2005–2014, using the synthetic control method, this paper investigates for the first time the impact of enclave adjustment between districts on the urban energy intensity. The results show that the logarithmic energy intensity paths of real and synthetic Wuhan diverge after 2009, and the enclave adjustment is indeed conducive to reducing energy intensity. Although this policy effect fluctuated slightly in 2013, it remained evident and continued to expand in subsequent years. We also further adopt the permutation test and placebo test to check the robustness of the baseline results, and this policy effect was found to still be statistically significant and persistent over time. We further verified that aligning division management, changing the incentives of local officials, promoting the agglomeration effect, and regional integration after adjustment are potential contributors to reducing urban energy intensity.
Co-Creating Service Concepts for the Built Environment Based on the End-User’s Daily Activities Analysis: KTH Live-in-Lab Explorative Case Study
Authors: Malakhatka Elena , Sopjani Liridona , Lundqvist Per
Published: February 2021

The purpose of this study is to synthesize the widely used theories about co-creation from two main perspectives: co-creation as an innovation process and co-creation as a design process applied to the service concept design in the built environment context. The architecture, engineering, and construction (AEC) industry do not have much application of end-user-oriented service design in general, especially with intensive co-creation processes. To facilitate such a process, we are using a living lab environment as a laboratorial model of the real built environment, but with the opportunity to have access to the end-users and different types of stakeholders. Using the KTH Live-in-Lab explorative case study, we were able to discuss the concept of co-creation by distinguishing between co-creation as innovation and co-creation as a design process, facilitating the process of co-creation of service concepts for the proposed built environment including methods from both perspectives: innovation and design, and evaluating the process of service concepts co-creation for the built environment from the point of innovation, knowledge transfer, sustainability, and user experience.
The Green Business and Sustainable Development School—A Case Study for an Innovative Educational Concept to Prevent Big Ideas from Failure
Authors: Hennemann Jan Nicolai , Draser Bernd , Stofkova Katarina Repkova
Published: February 2021

This article addresses the question of why initiatives in the field of green business and sustainable development often fail. Therefore, it dismantles some typical patterns of failure and shows—as a case study—how these patterns can be challenged through an innovative educational concept: the green business and sustainable development school. The applied methodology is a real-life project that is designed through methodological elements stemming from business model canvas, theory U, stakeholder participation, and design thinking. The results of the school initiative are discussed and evaluated by four distinctive stakeholder groups and the school’s supporting potential to overcome typical patterns of failure in the green business and sustainable development arena by the younger generation in the future is outlined. This article concludes with ideas to enhance the school concept to reach even more stakeholder-groups and increase its reliability and viability.
Digital Networking in Home-Based Support of Older Adults in Rural Areas: Requirements for Digital Solutions
Authors: Schelisch Lynn , Walter Ricarda
Published: February 2021

Given the increasing numbers of elders in need of support living at home, digital solutions are developed to ensure good home-based care and support. From a perspective of qualitative urban sociology, the presented study aims to provide an overview of existing technologies for communication as well as networking social support for older adults especially in rural areas, as well as requirements for their dissemination. The focus is on digital networking via apps and platforms in Germany that provide digital support in the areas of participation/communication, mutual aid and/or professional services for older adults. For this purpose, interviews with representatives of 12 projects as well as workshops were conducted. Support mediated via the digital solutions was not always accepted as expected, not even during the COVID-19 pandemic. To ensure a sustainable and long-term use of the digital solutions, it is necessary to take into account the digital skills of the users, to deploy a supervisor and local networker, to find a suitable spatial dimension, to create an awareness of existing problems on site and to anchor the support in suitable structures.
Drivers’ Age and Automated Vehicle Explanations
Authors: Zhang Qiaoning , Yang Xi Jessie , Robert Lionel P.
Published: February 2021

Automated vehicles (AV) have the potential to benefit our society. Providing explanations is one approach to facilitating AV trust by decreasing uncertainty about automated decision-making. However, it is not clear whether explanations are equally beneficial for drivers across age groups in terms of trust and anxiety. To examine this, we conducted a mixed-design experiment with 40 participants divided into three age groups (i.e., younger, middle-age, and older). Participants were presented with: (1) no explanation, or (2) explanation given before or (3) after the AV took action, or (4) explanation along with a request for permission to take action. Results highlight both commonalities and differences between age groups. These results have important implications in designing AV explanations and promoting trust.
Factors Influencing Sustainable Purchasing Behaviour of Remanufactured Robotic Lawn Mowers
Authors: Kabel Daan , Elg Mattias , Sundin Erik
Published: February 2021

The lack of consumer acceptance for remanufactured products is preventing the transition towards sustainable consumption. When knowledge about remanufacturing among consumers is limited, more insight is required into the consumer’s expectations. The purpose of this paper is to examine the consumer’s expectations and willingness to engage in sustainable purchasing behaviour when considering buying remanufactured robotic lawn mowers. The theory of planned behaviour and variables from green marketing help form the research model, which was tested empirically using survey data from 118 samples. The results indicate that sustainable purchasing behaviour of remanufactured robotic lawn mowers is primarily influenced by the consumer’s attitude and evaluation of the remanufactured product, and less so by external influences. Consumers expecting high product quality, low price, and low risk, had a positive evaluation and were therefore more willing to engage in sustainable purchasing behaviour of remanufactured robotic lawn mowers. More concisely, consumers value performance and price reductions, and worry about the time the remanufactured robotic lawn mower remains functional. Environmental knowledge among consumers is sufficient but cannot be fully translated into positive evaluations and sustainable purchases of remanufactured robotic lawn mowers. This research provides guidance for how remanufacturing firms can improve their circular marketing and remanufacturing strategies.
Performance Evaluation of BRT Standard in Decision Support System for Integrated Transportation Policy
Authors: Haider Farhan , Rehman Zia ur , Khan Ammad Hassan , Ilyas Maryam , Khan Inamullah
Published: February 2021

Increased urbanization implicated in the form of increased vehicles on roads which burdened limited resources and caused environmental deterioration. To reduce these effects, a Bus Rapid Transit (BRT) system was considered the right solution, requiring minimal infrastructure, as compared to other mass transit options, yet demanding great expertise. This research analyses BRT systems in four cities of Pakistan and the performance evaluation of BRT standards is conducted by developing a statistical model to evaluate predictive BRT standard, which results in identifying the parameters used to improve the performance of the BRT, thus resulting in improved BRT Institute for Transportation and Development Policy (ITDP) standard. As per ITDP, Peshawar BRT was ranked as Gold, whereas Lahore BRT, Rawalpindi/Islamabad BRT and Multan BRT were ranked as Silver. Research describes that ITDP rating can be significantly enhanced if worked in the right direction, taking into account the standards; Peshawar BRT is an example to follow for existing and future BRT in Pakistan. If fully integrated networks of routes and corridors for Lahore, Rawalpindi/Islamabad and Multan BRT have been developed, the model predicts the enhancement of ratings. This paper will assist transport policy makers to strategize in accordance with ITDP standard developed to evaluate and improve the quality of BRT.
A Goal Programming Model to Guide Decision-Making Processes towards Conservation Consensuses
Authors: de Castro-Pardo Mónica , Azevedo João C.
Published: February 2021

In this paper we propose a goal programming model that provides a consensual aggregated solution minimizing conflicts to guide multi-stakeholder decision-making processes and generates information regarding stakeholder groups to be exploited for negotiation purposes. This model permits to quantify variations in conflicts when the relative contribution of each criteria changes and gives insight to negotiation strategies with application in conservation areas. A dataset of a case study in the Meseta Ibérica Biosphere Reserve (Portugal-Spain) was used to test and validate the model. Fifty people belonging to four groups (scientists, government, farmers and businesspersons) assessed 20 management objectives in four dimensions: conservation, logistical support, development, and governance. The results showed the highest conflicts to be found for fauna and flora, education, and guarantees objectives while the most conflictive groups were scientists and farmers. The proposed model substantially reduced the global and intergroup conflicts associated to the same objectives, modelling the weights assigned to each objective in each dimension to find the most consensual/least conflictive solutions. This model can be a useful tool to improve complex decision-making processes in conservation areas with strong conflicts between stakeholders, such as transboundary biosphere reserves.
How Big Is My Carbon Footprint? Understanding Young People’s Engagement with Climate Change Education
Authors: Ross Helen , Rudd Jennifer A. , Skains R. Lyle , Horry Ruth
Published: February 2021

This paper presents a new engagement model for climate change education (CCE) as a result of analysing interactive digital narratives (IDNs) created during the You and CO2 Climate Change Education Programme. Young people aged 13–15 from two schools in Wales participated in three workshops, which culminated in students producing IDNs about climate change using Twine storytelling software. An inductive, grounded-theory approach informed by Bourdieusien principles of habitus and value was used to explore students’ responses to the Programme. Stage 1 coding identified ‘Core Themes’ and located student responses along tri-axial continua showing engagement, agency, and power. Stage 2 coding combined ‘Core Themes’ to build upon Cantell et al.’s 2019 Bicycle Model of Climate Change Education to create a new ‘holistic Agentic Climate-Change Engagement’ model (h-ACE), where learners’ journeys towards full engagement with and understanding of CCE and action could be traced. Barriers to students’ engagement with and understanding of CCE were identified through Bourdieusien analysis of responses. Results show that engagement was related to children’s views on their capacity to effect change on individual, local and governmental levels. The h-ACE provides a model for adjusting CCE curricula to accommodate young people’s varying cultures and views.
Assessment Framework of Smart Shipyard Maturity Level via Data Envelopment Analysis
Authors: Woo Jong Hun , Zhu Haoyu , Lee Dong Kun , Chung Hyun , Jeong Yongkuk
Published: February 2021

The fourth industrial revolution (“Industry 4.0”) has caused an escalating need for smart technologies in manufacturing industries. Companies are examining various cutting-edge technologies to realize smart manufacturing and construct smart factories and are devoting efforts to improve their maturity level. However, productivity improvement is rarely achieved because of the large variety of new technologies and their wide range of applications; thus, elaborately setting improvement goals and plans are seldom accomplished. Fortunately, many researchers have presented guidelines for diagnosing the smartness maturity level and systematic directions to improve it, for the eventual improvement of productivity. However, most research has focused on mass production industries wherein the overall smartness maturity level is already high (e.g., high-level automation). These studies thus have limited applicability to the shipbuilding industry, which is basically a built-to-order industry. In this study, through a technical demand survey of the shipbuilding industry and an investigation of existing smart manufacturing and smart factories, the keywords of connectivity, automation, and intelligence were derived and based on these keywords, we developed a new diagnostic framework for smart shipyard maturity level assessment. The framework was applied to eight shipyards in South Korea to diagnose their smartness maturity level, and a data envelopment analysis (DEA) was performed to confirm the usefulness of the diagnosis results. By comparing the DEA models, the results with the smart level as an input represents the actual efficiency of shipyards better than the results of conventional models.
Female Board Directors and Corporate Environmental Investment: A Contingent View
Authors: Hu Liang , Yang Defeng
Published: February 2021

Board diversity has become a major topic in a developed context, yet its impact has not been examined by scholars in emerging economies where the liberalization of women is not equally popular. Based on upper echelons theory, this study explores the impact of female board directors on corporate environmental investment (CEI), as well as its boundary conditions under different institutional backgrounds. Taking 463 A-share listed corporations in Shanghai and Shenzhen Stock Exchange from 2008–2017 as examples, we reveal that female board directors are positively related to CEI. In addition, provincial pollution level and regional legal development strengthen the positive relationship between female board directors and CEI. These findings contribute to upper echelons theory that board diversity facilitates corporate pro-social behaviors, especially under pressure from the external environment, emphasizing the influence of female directors’ characteristics. Our research also has managerial implications that corporations may enhance their representation of female directors for better environmental actions and subsequent better marketing performance as well as improved reputation. Moreover, the government is suggested to put forward regulations that increase the proportion of female directors in order to enhance corporate environmental investment.
The Contribution of Geographical Certification Programs to Farm Income and Rural Economies: The Case of Pecorino Siciliano PDO
Authors: Schimmenti Emanuele , Viola Enrico , Funsten Cassandra , Borsellino Valeria
Published: February 2021

This study attempts to measure the capacity of the EU geographical certification scheme to positively influence the price of certified products and the incomes of their producers. A comparison of the economic results of two cheese-producing dairy farm enterprises with different business strategies and locations within the Sicilian hinterlands is performed in order to determine the transformation value of each dairy’s sheep milk into pecorino cheese (with and without the Protected Designation of Origin, or PDO, certification) and the related joint products (ricotta). The economic convenience of the total transformation of sheep milk into Pecorino Siciliano PDO and ricotta is also appraised. The results suggest that producing and commercializing Pecorino Siciliano PDO is a promising strategy for differentiating and promoting dairy farm products and improving the financial performance of producers, with foreseeable positive repercussions in the socioeconomically less favored rural areas where they are located.
Coordinated Development Evaluation of Population–Land–Industry in Counties of Western China: A Case Study of Shaanxi Province
Authors: Niu Jingkun , Du Haifeng
Published: February 2021

The 14th Five-Year Plan of China proposes promoting urbanization construction, with counties as an important carrier. In order to evaluate the urbanization development level of counties in Western China, this study established an index system of population, land, and industry, constructed the coupling coordination model, selected Shaanxi Province as a representative case, and evaluated the comprehensive development level and its coordination degree of urbanization at the county level. The results show that: (1) there are two stages of urbanization in Western counties, namely “increment” and “quality improvement”; (2) county urbanization in Western China radiates from central cities, presenting the characteristics of a “core-edge” circle structure. Northern Shaanxi has significant spatial difference characteristics, the coordination and development level of the Guanzhong area are both in the lead, and Southern Shaanxi is still in the stage of weak level coordination; (3) unlike urbanization in metropolises, urbanization in Western counties is mainly driven by industrial agglomeration instead of land urbanization. However, population outflow is an obstacle to the urbanization of Western counties. The evaluation of the coordinated development of county urbanization can provide a theoretical basis and practical path for enhancing public service functions in counties, guiding urban–rural harmonious development.
Light Emitting Diodes (LEDs) as Agricultural Lighting: Impact and Its Potential on Improving Physiology, Flowering, and Secondary Metabolites of Crops
Authors: Al Murad Musa , Razi Kaukab , Jeong Byoung Ryong , Samy Prakash Muthu Arjuna , Muneer Sowbiya
Published: February 2021

A reduction in crop productivity in cultivable land and challenging environmental factors have directed advancement in indoor cultivation systems, such that the yield parameters are higher in outdoor cultivation systems. In wake of this situation, light emitting diode (LED) lighting has proved to be promising in the field of agricultural lighting. Properties such as energy efficiency, long lifetime, photon flux efficacy and flexibility in application make LEDs better suited for future agricultural lighting systems over traditional lighting systems. Different LED spectrums have varied effects on the morphogenesis and photosynthetic responses in plants. LEDs have a profound effect on plant growth and development and also control key physiological processes such as phototropism, the immigration of chloroplasts, day/night period control and the opening/closing of stomata. Moreover, the synthesis of bioactive compounds and antioxidants on exposure to LED spectrum also provides information on the possible regulation of antioxidative defense genes to protect the cells from oxidative damage. Similarly, LEDs are also seen to escalate the nutrient metabolism in plants and flower initiation, thus improving the quality of the crops as well. However, the complete management of the irradiance and wavelength is the key to maximize the economic efficacy of crop production, quality, and the nutrition potential of plants grown in controlled environments. This review aims to summarize the various advancements made in the area of LED technology in agriculture, focusing on key processes such as morphological changes, photosynthetic activity, nutrient metabolism, antioxidant capacity and flowering in plants. Emphasis is also made on the variation in activities of different LED spectra between different plant species. In addition, research gaps and future perspectives are also discussed of this emerging multidisciplinary field of research and its development.