This paper adopts a problematising review approach to examine the extent of mitigating climate change research in the sustainable tourism literature. As climate change has developed into an existential global environmental crisis and while tourism's emissions are still increasing, one would expect it to be at the heart of sustainable tourism research. However, from a corpus of 2573 journal articles featuring ‘sustainable tourism’ in their title, abstract, or keywords, only 6.5% covered climate change mitigation. Our critical content analysis of 35 of the most influential papers found that the current methods, scope and traditions of tourism research hamper effective and in-depth research into climate change. Transport, the greatest contributor to tourism's emissions, was mostly overlooked, and weak definitions of sustainability were common. Tight system boundaries, lack of common definitions and incomplete data within tourism studies appear to hamper assessing ways to mitigate tourism's contribution to climate change.
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A replacement of cars with conventional internal combustion engines (ICEs) by electric vehicles (EVs) is seen by many as a means to improve local air quality, reduce dependence on fossil fuels and CO2 emissions. The market for EV is slowly developing with a growing number of (subsidized) manufacturers offering EV models in different market segments to (subsidized) car owners. The number of EVs is still small in most countries, but policymakers and manufacturers see partial or even full replacement of ICEs by EVs as realistic in the coming decade. EV engines are powered by rechargeable lithium-ion batteries. Li-ion is produced from precursors, either liquid (brine metal salt) or solid (hard rocks). Lithium mining is still concentrated in a few countries. Lithium is used for batteries, ceramics, grease and medicine. This reliance comes at a cost, as conventional lithium mining creates several externalities. The following main question will be addressed: How to source a required volume of lithium in a way that reduces the environmental and social-economic impact of mining this resource? To address this question, we will use a combination of relevant literature and a local case study supported by a model-based estimation. The focus is on the Netherlands, an EV user country, but the approach is generic.
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The security of online assessments is a major concern due to widespread cheating. One common form of cheating is impersonation, where students invite unauthorized persons to take assessments on their behalf. Several techniques exist to handle impersonation. Some researchers recommend use of integrity policy, but communicating the policy effectively to the students is a challenge. Others propose authentication methods like, password and fingerprint; they offer initial authentication but are vulnerable thereafter. Face recognition offers post-login authentication but necessitates additional hardware. Keystroke Dynamics (KD) has been used to provide post-login authentication without any additional hardware, but its use is limited to subjective assessment. In this work, we address impersonation in assessments with Multiple Choice Questions (MCQ). Our approach combines two key strategies: reinforcement of integrity policy for prevention, and keystroke-based random authentication for detection of impersonation. To the best of our knowledge, it is the first attempt to use keystroke dynamics for post-login authentication in the context of MCQ. We improve an online quiz tool for the data collection suited to our needs and use feature engineering to address the challenge of high-dimensional keystroke datasets. Using machine learning classifiers, we identify the best-performing model for authenticating the students. The results indicate that the highest accuracy (83%) is achieved by the Isolation Forest classifier. Furthermore, to validate the results, the approach is applied to Carnegie Mellon University (CMU) benchmark dataset, thereby achieving an improved accuracy of 94%. Though we also used mouse dynamics for authentication, but its subpar performance leads us to not consider it for our approach.
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Because of its dependency on air transport, mitigating tourism greenhouse gas (GHG) emissions might become the most important challenge for the sustainability of the sector. Moreover climate change mitigation will be more and more in conflict with other sustainability objectives such as poverty alleviation and biodiversity conservation through tourism. Indeed, tourism increasingly contributes to global GHG emissions. Transport, and in particular air transport, have the largest share in those emissions, with respectively 75 per cent and 40 per cent of the tourism 5 per cent share of global carbon dioxide (CO2) emissions estimated for 2005 (UNWTO et al. 2008). In terms of the actual contribution to climate change, measured in radiative forcing, the share of air transport is between 54 per cent and 83 per cent of tourism, depending on assumptions made on non-CO2 effects of aviation (Scott et al. 2010). Projections show a strong growth, with more than a doubling by 2035 (UNWTO et al. 2008). In a context where climate policies try to maintain global warming within the limit of +2 °C, this current tourism growth is apparently at odds with global emission reduction targets (Bows, Anderson and Peeters, 2007; Gössling et al. 2010).
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The recent advancement in the field of information technology has resulted in the proliferation of online education all over the world. Much like traditional classroom education, assessments are an integral component of online education. During the online assessment, evaluation of the learning outcomes presents challenges mainly due to academic dishonesty among students. It results in unfair evaluations that raises questions about the credibility of online assessments. There exist several types of dishonesty in online assessments including exploiting the available Internet for finding solutions (Internet-as-a-Forbidden-Aid), illicit collaboration among students (Collusion) and third-party persons taking assessment on behalf of the genuine student (Impersonation). Several researchers have proposed solutions for addressing dishonesty in online assessments. These solutions include strategies for designing assessments that are resistant to cheating, implementing proctoring and formulating integrity policies. While these methods can be effective, their implementation is often resource-intensive and laborious, posing challenges. Other studies propose the use of Machine Learning (ML) for automated dishonesty detection. However, these approaches often lack clarity in selecting appropriate features and classifiers, impacting the quality of results. The lack of training data further leads to poorly tuned models. There is a need to develop robust ML models to detect different types of dishonesty in online assessments. In this thesis, we focus on Multiple Choice Questions (MCQ)-based assessments. We consider three types of dishonesty: (1) Internet-as-a-Forbidden-Aid, (2) Collusion, and (3) Impersonation prevalent in MCQ-based assessments. We developed individual ML models to detect students involved in each type of dishonesty during the assessment. The results also facilitate understanding the test-taking pattern of students and providing recommendations for cheat-proof assessment design. Finally, we present an Academic Dishonesty Mitigation Plan (ADMP) that addresses the diverse forms of academic dishonesty and provides integrity solutions for mitigating dishonesty in online assessments.
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The adaptation of urbanised areas to climate change is currently one of the key challenges in the domain of urban policy. The diversity of environmental determinants requires the formulation of individual plans dedicated to the most significant local issues. This article serves as a methodic proposition for the stage of retrieving data (with the PESTEL and the Delphi method), systemic diagnosis (evaluation of risk and susceptibility), prognosis (goal trees, goal intensity map) and the formulation of urban adaptation plans. The suggested solution complies with the Polish guidelines for establishing adaptation plans. The proposed methodological approach guarantees the participation of various groups of stakeholders in the process of working on urban adaptation plans, which is in accordance with the current tendencies to strengthen the role of public participation in spatial management. https://doi.org/10.12911/22998993/81658
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Innovations are required in urban infrastructures due to the pressing needs for mitigating climate change and prevent resource depletion. In order to address the slow pace of innovation in urban systems, this paper analyses factors involved in attempts to introduce novel sanitary systems. Today new requirements are important: sanitary systems should have an optimal energy/climate performance, with recovery of resources, and with fewer emissions. Anaerobic digestion has been suggested as an alternative to current aerobic waste water treatment processes. This paper presents an overview of attempts to introduce novel anaerobic sanitation systems for domestic sanitation. The paper identifies main factors that contributed to a premature termination of such attempts. Especially smaller scale anaerobic sanitation systems will probably not be able to compete economically with traditional sewage treatment. However, anaerobic treatment has various advantages for mitigating climate change, removing persistent chemicals, and for the transition to a circular economy. The paper concludes that loss avoidance, both in the sewage system and in the waste water treatment plants, should play a key role in determining experiments that could lead to a transition in sanitation. http://dx.doi.org/10.13044/j.sdewes.d6.0214 LinkedIn: https://www.linkedin.com/in/karel-mulder-163aa96/
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In this opinion piece, we establish some key priorities for evidence-based governance to address the increasing threat of heatwave events in Europe, particularly for human health. According to the European Environment Agency (EEA) [1], Europe is warming faster than the global average. The year 2020 was the warmest year in Europe since the instrumental records began, with the range of anomaly between 2.53˚C and 2.71˚C above the pre-industrial levels. Particularly high warming has been observed over eastern Europe, Scandinavia and the eastern part of the Iberian Peninsula. Climate change-related heatwaves are becoming a significant threat to human health and necessitate early action [2]. While financial resources and technological capacities are crucial to aid (local) governments in adapting to and proactively mitigating the threats posed by heatwaves, they are not enough [3]. Akin to flood responses, European countries must prepare for large-scale evacuations of vulnerable citizens (especially older adults living alone) from their homes. Here, we outline three priorities for Europe in the governance domain. These priorities encompass developing and rolling-out heat-health action plans, a stronger role for European Union institutions in regional heatwave governance, and creating a sense of urgency by developing innovative ways of communicating research findings to relevant policy makers and citizens.
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AI tools increasingly shape how we discover, make and experience music. While these tools can have the potential to empower creativity, they may fundamentally redefine relationships between stakeholders, to the benefit of some and the detriment of others. In this position paper, we argue that these tools will fundamentally reshape our music culture, with profound effects (for better and for worse) on creators, consumers and the commercial enterprises that often connect them. By paying careful attention to emerging Music AI technologies and developments in other creative domains and understanding the implications, people working in this space could decrease the possible negative impacts on the practice, consumption and meaning of music. Given that many of these technologies are already available, there is some urgency in conducting analyses of these technologies now. It is important that people developing and working with these tools address these issues now to help guide their evolution to be equitable and empower creativity. We identify some potential risks and opportunities associated with existing and forthcoming AI tools for music, though more work is needed to identify concrete actions which leverage the opportunities while mitigating risks.
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