Austrian Academy of Sciences

Elektronisches Publikationsportal der Österreichischen Akademie der Wissenschaften
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    Ljiljana Radonić

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    The economic impact of tourism on protected natural areas: examining the influence of physical activity intensity on visitors’ spending levels. eco.mont (Journal on Protected Mountain Areas Research and Management)|eco.mont Vol. 12 No. 2 12 2|

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    In addition to being important tourism attractions that boost local economic development, protected areas also promote healthy habits through engagement in a variety of physical activities (PA). However, little is known about the extent to which PA intensity influences visitors’ spending. Drawing on results from 500 questionnaires collected from visitors in the Alt Pirineu Natural Park, Spain, this study assesses the influence of PA intensity on spending after controlling for sociodemographic, visit, motivational and opinion descriptors to assess the connection between these two factors. Hierarchical regression analysis revealed that PA intensity had a marginal but potentially significant effect on respondents’ expenditure during their visits. When looked at separately, the results indicated that trip and motivational descriptors explained the highest degree of variation in visitor spending. More research is necessary to confirm whether these findings are applicable broadly

    Die Ermordung und das „Sterben-Lassen“ von psychisch und physisch kranken ausländischen ZivilarbeiterInnen im „Gau Oberdonau“. VIRUS - Beiträge zur Sozialgeschichte der Medizin|VIRUS. Beiträge zur Sozialgeschichte der Medizin Band 10|

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    In Second World War 8.4 million foreign civilian workers were used for labour in theGerman Reich, many of them were forced labourers. Civilian workers from Polandand the Soviet Union, who became mentally or physically ill and could not be cured inshort time, were sent back to their home countries. In May 1943 the transports ofmentally ill forced labourers to their home countries were stopped, as the NationalSocialist „euthanasia“ bureaucracy intervened and brought the labourers from “mentalinstitutions” to special facilities where they were killed. In 1943 and 1944 severaltransports with mentally ill forced labourers from mental institutions in the area ofBavaria and Austria are documented. In most of these cases the destinations of thetransports are unknown. The working hypothesis of this article is that the transportswent to Hartheim castle, which served as “killing centre” from 1940 to 1944. Physicallyill civilian workers were detained in camps, where many of them died because of lackof food and medical care and because of the bad hygienic situation

    EU and UK targets for healthy life expectancy – are they achievable?. Vienna Yearbook of Population Research|Vienna Yearbook of Population Research 2021|

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    In 2008, the EU Innovation Partnership on Active and Healthy Ageing (EIP-AHA) set a target of an increase of two healthy life years by 2020. More recently, in 2018, the UK Government set a target to “ensure people can enjoy at least 5 extra healthy, independent years of life by 2035, while narrowing the gap between the experience of the richest and poorest”. This paper reviews the progress the EU member states have made towards meeting this target, and what the UK can learn from their experiences. I conclude that, although the EU target is likely to be reached, the gap in healthy life years between the member states has increased. Past trends in and projections of disability-free life expectancy in England suggest that it will be diffcult to achieve an increase of five healthy and independent years of life by 2035

    Extracting Patterns from Large Movement Datasets. GI_Forum|GI_Forum 2019, Volume 2|

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    Extracting useful information from large spatiotemporal datasets is a challenging task that requires suitable visual data representations. Big movement data are particularly hard to visualize since they are prone to visual clutter caused by overlapping and crisscrossing trajectories. Different data aggregation approaches have been developed to address this challenge and to provide analysts with better visualizations for data exploration and data-driven hypothesis generation. However, most approaches for extracting patterns, such as mobility graphs or generalized flow maps, cannot handle large input datasets. This paper presents a flow extraction algorithm that can be used in distributed computing environments and thus make it possible to explore movement patterns in large datasets. We demonstrate its usefulness in a use case exploring maritime vessel movement

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    Elektronisches Publikationsportal der Österreichischen Akademie der Wissenschaften is based in Austria
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