bluuebunny/crossref_metadata_2025 huggingface dataset:
Biochar as a Green Sorbent for Remediation of Polluted Soils and Associated Toxicity Risks: A Critical Review
Authors: Murtaza Ghulam , Ahmed Zeeshan , Eldin Sayed M. , Ali Iftikhar , Usman Muhammad , Iqbal Rashid , Rizwan Muhammad , Abdel-Hameed Usama K. , Haider Asif Ali , Tariq Akash
Published: March 2023

Soil contamination with organic contaminants and various heavy metals has become a global environmental concern. Biochar application for the remediation of polluted soils may render a novel solution to soil contamination issues. However, the complexity of the decontaminating mechanisms and the real environment significantly influences the preparation and large-scale application of biochar for soil ramification. This review paper highlights the utilization of biochar in immobilizing and eliminating the heavy metals and organic pollutants from contaminated soils and factors affecting the remediation efficacy of biochar. Furthermore, the risks related to biochar application in unpolluted agricultural soils are also debated. Biochar production conditions (pyrolysis temperature, feedstock type, and residence time) and the application rate greatly influence the biochar performance in remediating the contaminated soils. Biochars prepared at high temperatures (800 °C) contained more porosity and specific surface area, thus offering more adsorption potential. The redox and electrostatic adsorption contributed more to the adsorption of oxyanions, whereas ion exchange, complexation, and precipitation were mainly involved in the adsorption of cations. Volatile organic compounds (VOCs), dioxins, and polycyclic aromatic hydrocarbons (PAHs) produced during biochar pyrolysis induce negative impacts on soil alga, microbes, and plants. A careful selection of unpolluted feedstock and its compatibility with carbonization technology having suitable operating conditions is essential to avoid these impurities. It would help to prepare a specific biochar with desired features to target a particular pollutant at a specific site. This review provided explicit knowledge for developing a cost-effective, environment-friendly specific biochar, which could be used to decontaminate targeted polluted soils at a large scale. Furthermore, future study directions are also described to ensure a sustainable and safe application of biochar as a soil improver for the reclamation of polluted soils.
Team Approaches to Addressing Sex Trafficking of Minors: Promising Practices for a Collaborative Model
Authors: Nichols Andrea , Slutsker Sarah , Oberstaedt Melissa , Gilbert Kourtney
Published: March 2023

The extant research literature is lacking in its focus on community-based responses (CBRs) to sex trafficking involving minors in the juvenile justice system. To address this research gap, the present study draws from 35 interviews with social service and justice system practitioners who work with juvenile justice-involved minors experiencing sex trafficking to examine collaborative responses in two Study Sites. Specifically, protocols to respond to trafficking and collaboration with community partners are explored. Results indicate that a formal protocol engaging a team approach inclusive of multiple community partners is a promising mezzo level response to addressing the sex trafficking of minors involved in the juvenile justice system. Informal and formal relationships, establishing a shared goal, open and ongoing communication, and trust building were also found to enhance community-based responses. Implications include establishing a protocol to respond to sex trafficking in the juvenile court system when sex trafficking is suspected and/or confirmed, which would engage a CBR team involving the survivor, parent(s)/guardian(s), DJO, supervisor, investigator, judge, Children’s Division caseworker, and social services provider(s). Establishing a shared goal within the CBR team and developing a pattern of communication and follow up can facilitate trust building, ultimately benefitting CBRs addressing the sex trafficking of minors involved with the juvenile justice system.
Evaluations of the Authenticity of News Media Articles and Variables of Xenophobia in a German Sample: Measuring Out-Group Stereotypes Indirectly
Authors: Plieger Thomas , Al-Haj Mustafa Sarah , Schwandt Sebastian , Heer Jana , Weichert Alina , Reuter Martin
Published: March 2023

Xenophobic and right-wing attitudes have become a major issue in Western societies. The present study investigated how such attitudes and stereotypes influence media perception in terms of identifying manipulated news articles. In a fake news paradigm, N = 326 participants provided self-report measures of xenophobia and conservatism, and were presented with real news media articles describing crimes that were committed either by putative German (i.e., in-group) or putative immigrant (i.e., out-group) perpetrators. Half of the articles were manipulated, and the participants were asked to rate the articles with respect to the perceived veracity of the article and the reprehensibility of the described criminal offences. Xenophobia, but not conservatism, was associated with poorer news discernment and higher perceived veracity in the immigrant offender condition, but not in the native German offender condition. Reprehensibility was not differentially associated with xenophobia in the two origin-of-offender conditions. The fake news paradigm revealed an out-group bias with respect to the perceived veracity of media news, and this result offers an alternative to measure stereotypes about immigrants more subtly than by explicit self-report. Xenophobia seems to make people less sensitive to hints that could inform them about the falsehood of information.
Sustainable Development for Oil and Gas Infrastructure from Risk, Reliability, and Resilience Perspectives
Authors: Mahmood Yasir , Afrin Tanzina , Huang Ying , Yodo Nita
Published: March 2023

The oil and gas (O&G) sector is a critical energy infrastructure to a Nation’s welfare. As developed as the O&G industry may seem, its aging infrastructure gradually shows numerous challenges to keep up with the growing energy demand, increasing operation costs, and environmental concerns. A robust O&G infrastructure that is risk-free, reliable, and resilient towards expected or unexpected threats can offer an uninterrupted supply of O&G to downstream stakeholders, competitive prices to customers, and better environmental footprints. With the shift towards renewable energy, the notion of sustainable development should be firmly embedded in O&G infrastructure and operations to facilitate the smooth transition towards future renewable energy generation. This paper offers a comprehensive and innovative approach to achieving sustainable development for O&G infrastructure by examining it from a holistic risk, reliability, and resilience (3Rs) perspective. The role of each individual concept and their collective influence on sustainable development in the O&G industry will be thoroughly discussed. Moreover, this paper will highlight the significant impact of the holistic 3Rs approach on sustainable development and propose future research directions. Given the complexity of O&G infrastructure, it is crucial to incorporate sustainable development practices into every dimension of the O&G infrastructure, iteratively and continuously, to achieve the ultimate goal of long-term sustainability. This paper makes a significant contribution to the field by providing valuable insights and recommendations for achieving sustainable development in the O&G industry.
Areas of Individual Consumption Reduction: A Focus on Implemented Restrictions and Willingness for Further Cut-Backs
Authors: Weitensfelder Lisbeth , Heesch Karen , Arnold Elisabeth , Schwarz Martin , Lemmerer Kathrin , Hutter Hans-Peter
Published: March 2023

To reduce the high amount of Greenhouse Gas emissions, a more sustainable individual lifestyle is crucial. However, existing research regarding pro-environmental behaviors rarely focuses on a reduction in consumption. Hence, this study investigated different variables (e.g., habits, estimated efficacy of measures, estimated danger of climate change) that might enhance people’s willingness to cut back on several private consumptions for the sake of the environment. In a German-speaking online survey (n = 435), different areas of consumption were looked at separately in different regression models. Additionally, we investigated whether a randomized highlighting of climate change consequences could further increase willingness to implement private cut-backs, which could not be confirmed in subsequent variance analyses. Overall, some variables seem to be connected with a higher willingness to implement cut-backs in most consumption areas and on several levels (e.g., estimated efficacy); other predictors are only involved in specific cut-backs and specific levels (e.g., materialism). Furthermore, different variables seem to be of importance when it comes to already implemented consumption restrictions as opposed to willingness to implement further cut-backs. These results lead to the conclusion that, in order to maximize mitigation potential, it is important to tailor suggestions to the area of consumption. Additionally, for most areas, awareness of the mitigation efficacy of the respective behavior seems crucial.
Predictive Modeling of Recycled Aggregate Concrete Beam Shear Strength Using Explainable Ensemble Learning Methods
Authors: Cakiroglu Celal , Bekdaş Gebrail
Published: March 2023

Construction and demolition waste (CDW) together with the pollution caused by the production of new concrete are increasingly becoming a burden on the environment. An appealing strategy from both an ecological and a financial point of view is to use construction and demolition waste in the production of recycled aggregate concrete (RAC). However, past studies have shown that the currently available code provisions can be unconservative in their predictions of the shear strength of RAC beams. The current study develops accurate predictive models for the shear strength of RAC beams based on a dataset of experimental results collected from the literature. The experimental database used in this study consists of full-scale four-point flexural tests. The recycled coarse aggregate (RCA) percentage, compressive strength (fc′), effective depth (d), width of the cross-section (b), ratio of shear span to effective depth (a/d), and ratio of longitudinal reinforcement (ρw) are the input features used in the model training. It is demonstrated that the proposed machine learning models outperform the existing code equations in the prediction of shear strength. State-of-the-art metrics of accuracy, such as the coefficient of determination (R2), mean absolute error, and root mean squared error, have been utilized to quantify the performances of the ensemble machine learning models. The most accurate predictions could be obtained from the XGBoost model, with an R2 score of 0.94 on the test set. Moreover, the impact of different input features on the machine learning model predictions is explained using the SHAP algorithm. Using individual conditional expectation plots, the variation of the model predictions with respect to different input features has been visualized.
Towards Circular Economy: Unveiling Heterogeneous Effects of Government Policy Stringency, Environmentally Related Innovation, and Human Capital within OECD Countries
Authors: Arthur Emmanuel Ebo , Gyamfi Solomon , Gerstlberger Wolfgang , Stejskal Jan , Prokop Viktor
Published: March 2023

With reference to the existing literature, this paper investigates the heterogenous effect on the attainment of circular economy by government policies in the form of government stringency and government financial support, environmentally related innovations, and human capital. The study was carried out in 26 countries of the OECD from 2010–2019 using the Poisson pseudo-maximum likelihood (PPML) model and data from Eurostat and OECD datasets. Indicators for the independent variables were non-market-based stringency, market-based subsidy, gross domestic expenditure on R&D by source of funds, R&D expenditure intramural, national expenditure on environmental protection environmental protection, environmentally related patents with co-inventors, and employees involved in education and training. The results revealed that a significant effect of government stringency in the form of non-market-based stringency, environmental innovation, government financing on R&D, and national expenditure on environmental protection have significant impact on the attainment of circular economy within OECD countries. Surprisingly, there was no significant effect of the market-based subsidy on domestic material consumption (dmc). We conclude that a blend of government policies is the effective means of achieving a circular economy.
Analysis of Factors Affecting the Effectiveness of Oil Spill Clean-Up: A Bayesian Network Approach
Authors: Zhong Liangxia , Wu Jiaxin , Wen Yiqing , Yang Bingjie , Grifoll Manel , Hu Yunping , Zheng Pengjun
Published: March 2023

Ship-related marine oil spills pose a significant threat to the environment, and while it may not be possible to prevent such incidents entirely, effective clean-up efforts can minimize their impact on the environment. The success of these clean-up efforts is influenced by various factors, including accident-related factors such as the type of accident, location, and environmental weather conditions, as well as emergency response-related factors such as available resources and response actions. To improve targeted and effective responses to oil spills resulting from ship accidents and enhance oil spill emergency response methods, it is essential to understand the factors that affect their effectiveness. In this study, a data-driven Bayesian network (TAN) analysis approach was used with data from the U.S. Coast Guard (USCG) to identify the key accident-related factors that impact oil spill clean-up performance. The analysis found that the amount of discharge, severity, and the location of the accident are the most critical factors affecting the clean-up ratio. These findings are significant for emergency management and planning oil spill clean-up efforts.
Multi-Scale Geographically Weighted Elasticity Regression Model to Explore the Elastic Effects of the Built Environment on Ride-Hailing Ridership
Authors: Wang Zhenbao , Gong Xin , Zhang Yuchen , Liu Shuyue , Chen Ning
Published: March 2023

Understanding the relationship between the built environment and the ride-hailing ridership is crucial to the prediction of the demand for ride-hailing and the formulation of the strategy for upgrading the built environment. However, the existing studies on ride-hailing ignore the scale effect and zone effect of the modifiable area unit problem (MAUP), and show a lack of consideration for the elastic relationship with spatial heterogeneity between built environment variables and ride-hailing ridership. Taking Chengdu as an example, this paper selects 12 independent variables based on the “5Ds” (density, diversity, design, destination accessibility and distance to transit) of the built environment, the dependent variables are the density of ride-hailing pick-ups in the morning and evening peak hours, and 11 spatial units are proposed according to different scales and zoning methods for the aggregation of built environment variables and ride-hailing pick-ups. With the goal of global optimal goodness-of-fit, we determined the optimal spatial unit by using the log-linear Ordinary Least-Squares (OLS) model. A multi-scale geographically weighted elastic regression (MGWER) model is formulated to explore the relative effect of the built environment on the ride-hailing ridership and spatial heterogeneity. The average value of positive elastic local regression coefficient of different variables is used to measure the relative positive impact of built environment factors, and the absolute value of the average value of negative elastic local regression coefficient is used to measure the relative negative impact of built environment factors. The results show that: (1) The MGWER model under the community unit division has the best global goodness-of-fit. (2) Different built environment variables have different elastic impacts on the demand for ride-hailing. For the morning peak hours and evening peak hours, the top three built environment factors with positive impacts are ranked as follows: commercial POI density > average house price > population density, and distance to CBD has the highest negative impacts on pick-up ridership. (3) The different local elasticity coefficients of the built environment factors at different stations are discussed, which indicate the spatial heterogeneity of the ride-hailing ridership. The optimal community zoning method can provide a basis for the zoning and scheduling management of ride-hailing. The results of the built environment variables with greater impact are conducive to the formulation of targeted urban renewal strategies in the process of adjusting the ridership of ride-hailing.
Intensity of SNS Use as a Predictor of Online Social Capital and the Moderating Role of SNS Platforms: An Empirical Study Using Partial Least Squares Structural Equation Modelling
Authors: Hoda Najmul , Ahmad Naim , Aldweesh Amjad , Naveed Quadri Noorulhasan
Published: March 2023

This study firstly aims to understand how social networking site usage results in online social capital formation, considering two different types of social networking sites (SNS)—LinkedIn and Facebook. It further aims to investigate if the process varies among different social networking sites or remains uniform. This study also validates two prominent scales, namely the Facebook Intensity Scale (FIS) and the Internet Social Capital Scale (ISCS). A structured questionnaire was administered through various social media platforms resulting in a total of 329 valid responses (167 LinkedIn users and 162 Facebook users). Applying the partial least squares method of structural equation modelling, it was found that social networking site use results in the formation of both online-bonding and online-bridging social capital for both types of SNS. Further, moderation analysis results show that the type of SNS platform does not affect the relationship between SNS intensity and online social capital. This implies that users’ social capitals are dependent on how they use an SNS. These findings have both practical and academic implications. They provide new insights into the usage, intensity, and online social capital that should be beneficial for commercial purposes. In terms of academic contribution, this research contributes to the scarce studies that have considered SNSs other than Facebook and also compared two SNSs. It further confirms the social capital theory in the field of online networking.
Synergies of Lean, BIM, and Extended Reality (LBX) for Project Delivery Management
Authors: Alizadehsalehi Sepehr , Hadavi Ahmad
Published: March 2023

The architecture, engineering, and construction (AEC) industry stands to benefit tremendously from the integration of lean construction (LC), building information modeling (BIM), and extended reality (XR) technologies at all stages of a project. These technologies enable multidimensional content viewing and collaboration through cloud-based systems and in real-scale environments, resulting in higher levels of efficiency. The aim of this research is to offer an integrative approach that combines project management philosophies, systems, technologies, and tools. The sections containing the results of this study are as follows. (1) A concise review of the benefits of LC, BIM, and XR technologies in the AEC industry, including BIM-based visualization support for LC (Lean-BIM) and BIM visualization in XR (BIM-XR). This section also presents an overview of the most commonly used wearable XRs on the market. (2) The presentation of an LBX process flow diagram and an IDEF0 diagram for the LBX project delivery management system at each stage of AEC projects, including design, construction, and operation. (3) Two possible scenarios for integrated lean, BIM, and XR implementation are suggested, referred to as “in the office” and “online or semi-online LBX meetings”. (4) An analysis of the strengths and weaknesses of the LBX management system, practical implications, and open challenges of applying LBX to project management tasks. Overall, this study presents an enormous opportunity to increase the quality of construction project planning, understanding, and performance, and provides a roadmap for future efforts to implement the integration of LC, BIM, and XR technologies in the AEC industry.
Numerical and Experimental Analysis of a Low-GWP Heat Pump Coupled to Electrical and Thermal Energy Storage to Increase the Share of Renewables across Europe
Authors: Rehman Omais Abdur , Palomba Valeria , Frazzica Andrea , Charalampidis Antonios , Karellas Sotirios , Cabeza Luisa F.
Published: March 2023

In order to reduce the dependence on fossil fuels in the residential sector, low-carbon-footprint technologies such as heat pumps should be used. To fully exploit solar-assisted heat pumps, an effective control strategy is required. This study employs a low-global-warming-potential (GWP) refrigerant for a water-to-water reversible heat pump, which is assisted by a thermal energy storage tank, photovoltaic (PV) installation, and battery storage system using a dedicated control strategy. The heat pump’s operation is validated against the experimental data. Simulations are carried out for three different climates to analyze the performance of reversible heat pumps across Europe. The reversible heat pump fully meets the summer cooling demand in all three climates, while the heating demand is covered with the help of a backup source. An economic analysis is carried out for three different PV sizes and the results are compared with the reference energy systems. The inclusion of a battery storage system results in high payback times but increases overall flexibility and self-sufficiency.
Origin-Destination Traffic Survey—Case Study: Data Analyse for Bacau Municipality
Authors: Irimia Oana , Panaite-Lehadus Mirela , Tomozei Claudia , Mosnegutu Emilian , Przydatek Grzegorz
Published: March 2023

In order to develop a transport model for the municipality of Bacau, it was necessary to collect data on the current mobility characteristics of people and goods. Traffic data were collected by means of using an origin-destination (O-D) survey. This survey was carried out in the form of a manual traffic census arranged in stations at six points on the entrance sectors of the national roads in the city of Bacau. At the level of the municipality of Bacau, data from a sample of 3040 drivers were used for the origin-destination surveys. The respondents answered 11 questions. The article presents the results obtained from the six control points for seven questions that were considered relevant. The data obtained were initially used to identify, from a percentage and quantitative point of view, the type of traffic specific to the municipality of Bacau. The analysis of the data shows that the majority of vehicles, 78.9%, originate from Bacau County and that 87.2% of those interviewed have Bacau County as their destination. Most vehicles passing through the checkpoints were within the time intervals 7:30–8:30, i.e., 15.55%, and 16:30–17:30, i.e., 16.18%. The highest proportion of registered vehicles were from Romania, 97.99%. Additionally, 40.75% of the respondents were travelling for business purposes, and approximately the same share was found for the number of people in the vehicle; i.e., single occupant vehicles comprised 58.35% of the total vehicles surveyed. Passenger cars accounted for 67.66% of the vehicles. By using the OriginLab software, the aim was to create parallel graphs for each control point in order to identify certain correlations between the data obtained from the questionnaire. At the end of the article, a hierarchical cluster statistical analysis was carried out by using OriginLab, which identified a series of correlations between the analysed parameters.
Accounting for Heterogeneity among Youth: A Missing Link in Enhancing Youth Participation in Agriculture—A South African Case Study
Authors: Madende Primrose , Henning Johannes I. F. , Jordaan Henry
Published: March 2023

Youth participation in the agricultural sector remains key to addressing youth unemployment. Young people represent a heterogeneous social group with markedly diverse social and economic needs that require tailor-made support interventions to enhance their participation in agricultural activities. The main objective of this article was to develop distinct youth typologies informed by diverse endowment of livelihood assets, including the psychological assets and entrepreneurial characteristics that shape young people’s career and livelihood choices, including participation in agriculture. A two-stage multivariate analytical approach was applied using principal component analysis (PCA) and cluster analysis (CA) to formulate youth typologies. Seven clusters were identified. The seven distinct clusters representing youth typologies were named “Training beneficiaries with access to extension”, “Job secure”, “Females endowed with negative psychological capital”, “Opportunist and determined livestock farmers”, “Social grant reliant”, “Resource poor traditional livestock farmers” and “Non-farming income with access to credit”. The results confirm that young people are indeed a heterogeneous group with diverse support needs. Unpacking the interrelated and multidimensional complexities among the youth is a vital take-off point to inform effective policy and tailor-made support interventions and effectively foster active youth participation in agriculture and related activities. We argue that support initiatives should not only address access to physical resources, but should also foster the development of soft skills such as entrepreneurial skills and boosting the psychological capital of young people while addressing gender inequalities.
Role of Metaheuristics in Optimizing Microgrids Operating and Management Issues: A Comprehensive Review
Authors: Rezk Hegazy , Olabi A. G. , Sayed Enas Taha , Wilberforce Tabbi
Published: March 2023

The increased interest in renewable-based microgrids imposes several challenges, such as source integration, power quality, and operating cost. Dealing with these problems requires solving nonlinear optimization problems that include multiple linear or nonlinear constraints and continuous variables or discrete ones that require large dimensionality search space to find the optimal or sub-optimal solution. These problems may include the optimal power flow in the microgrid, the best possible configurations, and the accuracy of the models within the microgrid. Metaheuristic optimization algorithms are getting more suggested in the literature contributions for microgrid applications to solve these optimization problems. This paper intends to thoroughly review some significant issues surrounding microgrid operation and solve them using metaheuristic optimization algorithms. This study provides a collection of fundamental principles and concepts that describe metaheuristic optimization algorithms. Then, the most significant metaheuristic optimization algorithms that have been published in the last years in the context of microgrid applications are investigated and analyzed. Finally, the employment of metaheuristic optimization algorithms to specific microgrid issue applications is reviewed, including examples of some used algorithms. These issues include unit commitment, economic dispatch, optimal power flow, distribution system reconfiguration, transmission network expansion and distribution system planning, load and generation forecasting, maintenance schedules, and renewable sources max power tracking.
Educational Loss at Times of Crisis: The Role of Games in Students’ Learning in Palestine and Iraq
Authors: Ali Kareema , Burgos Daniel , Affouneh Saida
Published: March 2023

This study examines the role of educational games in compensating for educational loss and their impact on students’ motivation towards learning during crises in Palestine and Iraq. Additionally, the study considers the challenges facing the employment of this strategy and ways to overcome these challenges. By performing separate open semi-structured interviews with a group of 10 educators from university professors, teachers, and educational supervisors, the study used the qualitative descriptive approach which designs multiple case studies. The results showed the prominent role that educational games play in increasing students’ motivation towards learning and compensating for educational loss through what they add to the fun and suspense in the learning process and how they shorten time and effort and help students to engage and cooperate in acquiring knowledge, skills, and values. The results also reveal common challenges that face the employment of educational games. These challenges are social, economic, technological, challenges related to school environment, and psychological challenges. The study shows the possibility of overcoming these challenges by providing funding sources, preparing plans to employ educational games, and developing teachers’ capabilities to implement them in their teaching practices.
Taking the Lead into Sustainability: Decision Makers’ Competencies for a Greener Future
Authors: Eberz Sarah , Lang Sandra , Breitenmoser Petra , Niebert Kai
Published: March 2023

Many research articles describe competencies that people need in order to think, develop, and enact a sustainable future. Based on findings from the political economy, this paper argues that it is the macroscopic decisions in the public sphere that have an impact on society and the environment. Therefore, decision makers in the economy, politics, and civil society are important actors to enable a societal transformation towards sustainability by making macroscopic decisions. Based on these assumptions, this empirical research article analyzes the competencies decision makers such as ministers, CEOs, or union leaders need to contribute to a sustainable future in their professional life. We conducted interviews with 14 high-level decision makers and analyzed their competencies based on Wiek et al.’s framework on sustainability competencies. The findings show how they enact and organize the competencies needed for steering the sustainable transition. Linking all competencies is particularly important, especially at the intersection of different systems, to develop a macroscale, system-oriented decision. The authors suggest to consider systems and interpersonal thinking as extremely interdisciplinary competencies and to put a focus on public-sphere actions when educating future leaders. Moreover, the results indicate that dealing with uncertainty, following one’s own values, and building up resilience play a major role for decision makers.
Quantifying the Operational Benefits of Dry Port Integrated Cooperation in Port Clusters: A Microsimulation Study
Authors: Yıldırım Mehmet Sinan
Published: March 2023

As marine cargo traffic continues to grow, ports are experiencing increasing problems with congestion. To address this issue without requiring significant capital investment, neighboring ports can share their capacity to meet the rising demand for cargo throughput. While there are many planning level studies on inter-port cooperation, there is a scarcity of operational-level studies, and there is currently no available dry port integrated cooperation scheme for port clusters that utilizes a microsimulation approach. This study aims to contribute to the existing literature by proposing a conceptual port integration scheme that includes a dry port for improved coordination between ports in clusters. The discrete event simulation (DES) approach was used to construct three representative microsimulation models with dry port integration considering vessel transfer policies and no-cooperation scenario. The outputs of the models were evaluated using performance metrics (vessel delays, storage capacities, and the number of serviced vessels) using t-test statistics. The results show that the cooperation scheme with the vessel transfer policy and the strategic management of vessel transfer can significantly reduce the vessel operation delay by over 39% for the no-cooperation scenario with an integrated dry port and this value is further improved to 62% if a simulation-based port selection module (PSM) is used for vessel transfer policy. Additionally, the mean number of containers of the average of two port storages decreased by 40% and further decreased by 69% with the PSM. In terms of decision-making performance for vessel transfer decisions with varying quay lengths, PSM was determined to be superior to the vessel transfer policy considering the number of vessels in port queues. The proposed conceptual port integration model and approach can assist decision-makers in evaluating the effectiveness of different cooperation schemes and vessel transfer policies for adjacent ports in port clusters.
Birds’ Flight Initiation Distance in Residential Areas of Beijing Are Lower than in Pristine Environments: Implications for the Conservation of Urban Bird Diversity
Authors: Yin Luqin , Wang Cheng , Han Wenjing , Zhang Chang
Published: March 2023

(1) Background: With rapid urbanization, birds are facing a variety of challenges. Evaluating bird behaviour changes in response to urbanization can help us understand how to make them coexist sustainably with humans. We aimed to investigate whether birds inhabiting residential areas differed in their escape behaviour and their influencing factors. (2) Methods: We used the flight initiation distance (FID), the horizontal distance between the observer and the target bird when it escapes, to measure the escape behaviour of birds. We chose 40 urban residential areas within the 5th ring road in Beijing and conducted surveys each month for one year. We applied Generalized Linear Mixed Models (GLMMs) separately to evaluate the response variable of FID for the total species, the most common species, and the other species. (3) Results: Birds that appear more frequently in residential areas or as ground foragers, insectivores, and omnivores are better adapted to human interference and have shorter FIDs. Individual initial conditions affect bird FID, and environmental characteristics can be used as predictors for the most common birds. Tree canopy coverage was found to positively affect FID, while floor area ratio (FAR) is negatively correlated with FID. (4) Conclusions: Our results demonstrated that birds in residential areas have been adapting to the human environment, and urban tree canopies can provide refuge for birds to avoid human interference. Our study focused on the response of bird FIDs to human interference and urban trees under high urbanization, which has substantial practical implications for urban managers to improve habitat quality to ensure that birds coexist with human beings.
Research on the Influence of Digital Economy on Technological Innovation: Evidence from Manufacturing Enterprises in China
Authors: Wang Qiong , Wei Yihan
Published: March 2023

Digital economy is a key breakthrough in the new round of the industrial revolution, and technological innovation is the key to economic growth and wealth creation by enterprises. The influence of the digital economy on the innovation of manufacturing enterprises is directly related to solving the problem of inadequate development. Therefore, it is of great theoretical value and practical significance to study the influence of the digital economy on enterprise technological innovation. Taking Chinese manufacturing companies during 2016–2020 as a sample, this paper measured the technological innovation level of enterprises by the quantity and quality of innovation output of manufacturing enterprises and measured the development degree of the digital economy by the four dimensions of digital economy infrastructure, digital industrialization, industrial digitalization, and digital governance. The influence of the digital economy on enterprise technological innovation was researched through the Moran index and panel regression model. Moran’s indexes were all greater than 0, and the data were concentrated in the first and third quadrants of the scatter chart, and the value dropped from 0.186 to 0.152, indicating that provincial digital economic development presents a phenomenon of aggregation in spatial distribution, which gradually decreases along the eastern coast to the western region and gradually moves from aggregation to dispersion. The regression coefficients are significant at least at the level of 10%, indicating that the digital economy can effectively promote the output quantity and quality of technological innovation in manufacturing enterprises. The digital economy has a double-promotion effect on technological innovation. In promoting the technological innovation of manufacturing enterprises, infrastructure, digital industrialization, and industrial digitization play a dual and positive role as well as digital governance. In addition, the digital economy and its four dimensions have a first-order and second-order time-lag effect, which has a double-promotion effect on enterprises’ technological innovation. In general, the digital economy can promote enterprise technological innovation.
Urban Greening as a Response to Climate-Related Heat Risk: A Social–Geographical Review
Authors: Petzold Jan , Mose Lukas
Published: March 2023

With the increasing intensity, frequency and duration of heat waves, adaptation measures are becoming increasingly relevant and are moving up the agenda of decision-makers. In particular, urban areas require effective solutions due to the urban heat island effect and the increasing number of urban dwellers, including highly vulnerable social groups, such as people with low income or who lack access to public areas. However, despite there being strong agreement about the relevance of urban greening as an adaptation measure, there is still a limited understanding of where such measures should be implemented and for whom they are potentially accessible and beneficial. Through a systematic scoping review of the academic literature, this paper shows critical regional and methodological research gaps in mainstream adaptation research, including a bias towards Asian and European cities, and a lack of assessments of the socio-economic context and the accessibility of urban greening structures. Addressing the spatial issues of urban greening is of great importance for achieving the Sustainable Development Goals, given the ongoing urbanisation trends and projected increase in heat risk.
A Review of Well-Being Valuation for Sports, Culture and Leisure Activities
Authors: Schoemaker Jelle
Published: March 2023

It is widely acknowledged that engagement in sports, as well as in cultural and leisure activities benefits people’s well-being. However, what remains unclear is the monetary value of this contribution. For creating sustainable policies that withstand austerity measures, it is crucial to have a better understanding of the value of these activities. This scoping review provides the first overview of studies that estimate the value of leisure activities by using the compensating variation approach exclusively. The purpose of the review is to identify methodological issues to detect knowledge gaps and to investigate the conduct of research. Records were retrieved from several scientific databases and Google Scholar. To analyze the results, all studies were summarized for country, scope, source, database, sample, measures, control variables, design, common bias and outcomes. The search resulted in eleven original studies of which five were commissioned reports delivered by academics. Important methodological issues were the diverse use of control and well-being variables and the endogeneity and selection biases that contributed to a wide range of monetary values. Because of the variability in their conduct, methodological standardization is required to reach a consensus on the contribution of sports and cultural and leisure activities to society.
Semi-Acquaintance Society in Rural Community-Based Tourism: Case Study of Moon Village, China
Authors: Li Taohong , Wu Bo , Guo Ling , Shi Hong , Chen Ning Chris , Hall C. Michael
Published: March 2023

Tourism development provides a unique context for studying guanxi in acquaintance society in rural areas in China. Taking the case of Moon village from the perspective of guanxi, this study conducted a qualitative study to analyze the structural characteristics of the semi-acquaintance society in the tourism context. A buffer guanxi circle develops when strangers immerse themselves into an acquaintance-based society through social interaction, where affection and reasoning define the boundary, guanxi and the interests on which the social consensus is based, as well as the elite and collective actions vitalizing the community. These findings on how the semi-acquaintance society contributes to guanxi imply a co-governance structure for informal relations in governance in community-based rural tourism.
Sustainable Design Education in Higher Education and Implementation
Authors: Kuzmina Ksenija , Lofthouse Vicky
Published: March 2023

This Special Issue sets out to further the ongoing discourse around the need for changes in design education [...]
Stakeholder Participation in Planning of a Sustainable and Competitive Tourism Destination: The Genoa Integrated Action Plan
Authors: Spadaro Ilenia , Pirlone Francesca , Bruno Fabrizio , Saba Gianluca , Poggio Barbara , Bruzzone Sabrina
Published: March 2023

The outbreak of COVID-19 confronted the international community with critical health, social, and economic challenges. Travel and tourism were among the hardest affected sectors. In 2020 and 2021 new travel trends emerged, emphasizing local destinations, short distances, and consequently, lower-carbon transportation (proximity tourism). Post-pandemic recovery represents an opportunity to bounce back better by rethinking the sector’s economic model for the sake of sustainability and innovation. This paper disseminates the research that led to the structuring of guidelines for a breakthrough and inclusive municipal-level action plan for the promotion of sustainable tourism, as part of the Tourism Friendly Cities project. An operational methodology is discussed here, whereby key stakeholder participation, conceptualized through a sextuple helix model, is the foundation of the planning process. A small-scale action and a qualitative assessment tool of the participatory process are also illustrated. The proposed methodology corroborates the vast positive effects deriving from stakeholder participation in terms of trust, ownership, planning quality, innovativeness and sustainability of interventions. In applying the methodology, although the digital framework was evaluated positively in terms of the number of participants that could be involved, data collection, and confidentiality of activities, the evaluation shows that hybrid modes of participation are more desirable.
The Importance of Digital Signature in Sustainable Businesses: A Scale Development Study
Authors: Cavus Nadire , Sancar Nuriye
Published: March 2023

Today, the interest and the needs of all sectors for digital signatures are increasing day by day. The next approvals in businesses cannot take place without the previous approvals, which follow one after the other, such as a chain of transactions. For this reason, the approval (that is, the signature of a relevant unit) should be carried out as soon as a document is received and immediately forwarded to the next unit. Digital signatures are needed to carry out business transactions quickly and reliably. The use of digital platforms and systems, which are indispensable parts of digital transformation, can be achieved primarily with awareness and understanding of their importance. However, a digital signature awareness scale was not found in the literature. Therefore, in this study, a new scale was developed which can be used to determine the digital signature awareness of people and it is hoped to eliminate this deficiency in the current literature. The developed scale consists of two dimensions: awareness and benefits. The study was designed as descriptive research and 567 participants voluntarily participated in the study. Factor analysis and descriptive analysis methods were used to analyze the collected data. In line with the statistical analysis results, it has been observed that the developed scale provides validity and reliability features and is qualified to be used in scientific research to determine the awareness of people about digital signatures. With the digital signature scale, which is thought to fill the gap in the literature, it is hoped that the digital signatures awareness of people in developing countries, and in particular in Cyprus will be determined, and it is also hoped that people will be encouraged to use digital signatures after necessary training.
Research on the Interface of Sustainable Plant Factory Based on Digital Twin
Authors: Liu Jiayao , Wang Linfeng , Wang Yunsheng , Xu Shipu , Liu Yong
Published: March 2023

A digital twin (DT) system is a virtual system that can provide a comprehensive description of a real physical system. The DT system continuously receives data from physical sensors and user input information and provides information feedback to the physical system. It is an emerging technology that utilizes an advanced Internet of Things (IoT) to connect different objects, which is in high demand in various industries and its research literature is growing exponentially. Traditional physical systems provide data support for the monitoring of physical objects such as buildings through digital modeling techniques, data acquisition tools, human computer interfaces, and building information models (BIM). However, DT can offer much more than data presentation. DT uses the received data to perform operations such as analysis, prediction, and simulation, and finally transmits the analysis results to the physical system as feedback. Compared with other physical systems, DT has the characteristics of bidirectional data exchange and real-time autonomous management. The plant factory control system based on digital twin technology continuously measures the power consumption of electrical equipment through the sensors of the physical system and makes the corresponding virtual color-coded gradient map based on the obtained data. The darker the virtual device is, the more power it currently requires, and just based on the shade of color gives the user a very intuitive idea of the current power usage of the electronic device. There has been extensive research on digital twin technology, but there are few studies on implementing plant factories based on digital twin technology. This paper proposes the idea of combining digital twin technology with plant factories to provide research directions for future smart agriculture. It proves that smart agricultural production with sustainability can also benefit from this idea.