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Item type:Publication, Access status: without files , Assessing knowledge gaps about shipping emissions: designing educational programs for sustainable maritime logistics for future professionals in Albania & MontenegroThis study assesses knowledge gaps among Albanian and Montenegrin maritime professionals regarding EU shipping emissions and their implication on current and future curricula. Survey data revealed educational needs across economic, legislative, and engineering domains. Utilizing IMO model course frameworks and competence-based assessment methodologies, we propose structured educational interventions to facilitate knowledge transfer from established EU member states to the West Balkan countries. The findings contribute to environmental management policy by addressing regional capacity development needs for maritime emissions compliance, technological innovation and best practices.Publicationtype: Conference Paper47 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Impact of GHG regulations at container terminals on the container handling equipment marketGreenhouse gas emissions from maritime transport represent a significant share of transport related emissions. In contrast to emissions from ships, emissions from container terminals are not subject to regulations issued by global entities. The lack of global regulation results in a variety of individual ambitions of often non-binding nature by terminal operators, port au-thorities and local governments. The fragmentation leads to difficulties determining the de-mand for technological solutions. Knowing the demand helps to guide development efforts and ensures sufficient production capacity is created to meet emission reduction targets. To understand present efforts and their impact, emission regulations and voluntary emission reduction targets affecting container handling equipment have been collected. The collected data may serve as a starting point into further analysis of effective emission reduction strate-gies. Combining the emission reduction targets with current handling capacity at affected container terminals and market development projections, the size of the emission-free con-tainer handling equipment market is estimated. The model predicts that in 2030, 250 million TEU, roughly 24 % of global handling capacity, will be handled by emission-free equipment. The commitments to reduce emissions are predominantly issued by private terminal opera-tors and port authorities. Only a few governmental regulations affect emissions from con-tainer handling. Compared with the predictions for the maritime sector by the Science Based Targets initiative, current emissions reduction targets are not sufficient to meet the level necessary to keep global warming below 1.5 °C above pre-industrial levels. Therefore, if governments want to limit global warming to 1.5 °C, they need to take more actions and force the reduction of greenhouse gas emissions from container terminals.Publicationtype: Conference Paper51 111 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , AI approaches in education based on individual learner characteristics : a reviewThe number of students who demand high quality education is growing continuously. Targeted, efficient education becomes increasingly important. Digital teaching formats combined with artificial intelligence offer promising opportunities and provide insights to develop seminal educational systems. In an ideal world the necessary data mining is integrated in those approaches and does not require sensors, surveillance or the close supervision of teachers. This review paper investigates the current state of research regarding actual applications of AI in educational learning concepts together with a focus on individual learner characteristics data. Within the study, 1.025 scientific papers from Scopus where screened and filtered. 67 papers were finally classified and evaluated. The review takes a close look at identified application categories such as the educational level of learners, academic subjects considered, learning environments used, types and objectives of the AI approaches, as well as a detailed examination of the underlying data. The actuality of the “AI in Education” topic is clearly visible in the growing number of publications. A substantial proportion of applications focus on university education with an accumulation in STEM subjects. Often, supervised AI approaches are used which focus on the prediction of learner performances. Data-wise, we see a lot of similarities in the approaches together with opportunities for improvement in terms of transparency and standardization.Publicationtype: Conference Paper28 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Groundbreaking Challenges of Deploying Battery-Electric Terminal Trucks in Container Terminals(2023-03); ; To avoid a climate crisis, we need to drastically change the way we ship goods. Therefore, container terminals must also reduce their greenhouse gas emissions as much as possible. Since terminal trucks are the most commonly used container handling equipment for horizontal transportation in container terminals worldwide, a suitable starting point can be found here. They are often used together with rubber-tired gantry cranes. Combined, they are accountable for up to 70% of the container terminal’s greenhouse gas emissions. One way to reduce these emissions is to electrify terminal trucks. This paper shows the groundbreaking implications of deploying battery-electric terminal trucks in container terminals. To do so, this paper approaches the topic from a management and a technological perspective. On the one side, potential emission and cost savings, and on the other side current battery technologies, required charging infrastructure, and possible charging strategies are descripted. With this knowledge, a decision model is developed to deploy battery-electric terminal truck in container terminals. The decision model bases on information collected in an extensive literature search and a cost calculation.Publicationtype: Conference Paper76