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EN
The tourism sector is responsible for a large part of Greece’s GDP because the tourist assets of this country generate a lot of tourist traffic. The aim of the article is to compare the tourist attractiveness of the Ionian Islands, Dodecanese and Crete. This allowed for the creation of an attractiveness index. The following aspects were analyzed in detail: the number of tourist attractions, the number of hotels, the quality of these hotels, the number of airports and the number of seaports. Each of the elements was rated on a five-point scale. The region of the Ionian Islands turned out to be the most attractive for tourists. It has the most seaports and airports, so it is the most available in terms of communication. The number of attractions in the Ionian Islands is the largest among the studied areas. The number and quality of hotels is comparable to other analyzed places.
EN
Spatio-temporal stress changes and interactions between adjacent fault segments consist of the most important component in seismic hazard assessment, as they can alter the occurrence probability of strong earthquake onto these segments. The investigation of the interactions between adjacent areas by means of the linked stress release model is attempted for moderate earthquakes (M ≥ 5.2) in the Corinth Gulf and the Central Ionian Islands (Greece). The study areas were divided in two subareas, based on seismotectonic criteria. The seismicity of each subarea is investigated by means of a stochastic point process and its behavior is determined by the conditional intensity function, which usually gets an exponential form. A conditional intensity function of Weibull form is used for identifying the most appropriate among the models (simple, independent and linked stress release model) for the interpretation of the earthquake generation process. The appropriateness of the models was decided after evaluation via the Akaike information criterion. Despite the fact that the curves of the conditional intensity functions exhibit similar behavior, the use of the exponential-type conditional intensity function seems to fit better the data.
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