In order to assess the rainfall erosivity in the Pannonian basin, several parameters which describe distribution, concentration and variability of precipitation were used, as well as 9 extreme precipitation indices. The precipitation data is obtained from the European Climate Assessment and Dataset project for the period 1961-2014, for 8 meteorological stations in northern Serbia, 5 in Hungary and 1 in eastern Croatia. The extreme values of precipitation were calculated following the indices developed by the ETCCDI. RclimDex software package was used for indices calculation. Based on statistical analysis and the calculated values, the results have been presented with Geographic Information System (GIS) to point out the most vulnerable parts of the Pannonian basin, with regard to pluvial erosion. This study presents the first result of combined rainfall erosivity and extreme precipitation indices for the investigated area. Results of PCI indicate presence of moderate precipitation concentration (mean value 11.6). Trend analysis of FI (mean value 22.7) and MFI (mean value 70.2) implies a shift from being largely in the low erosivity class, to being completely in the moderate erosivity class in the future, thus indicating an increase in rainfall erosivity for most of the investigated area (except in the northwestern parts). Furthermore, the observed precipitation extremes suggest that both the amount and the intensity of precipitation are increasing. The knowledge about the areas affected by strong soil erosion could lead to introducing effective measures in order to reduce it. Long term analysis of rainfall erosivity is a significant step concerning flood prevention, hazard mitigation, ecosystem services, land use change and agricultural production.
Recent natural hazards (floods and wildfires) which hit some of the most visited Greek tourist destinations during the summer season 2018 are threatening to decrease the number of tourist visits in the affected regions. As these regions, being namely Chalkidiki, Olympic Riviera and regions surrounding Athens and Thessaloniki, are the most popular summer destinations for Serbian tourists, it is interesting to examine how natural hazards that occurred there influence tourist behavior based on the perceived risk. The study aims to explore the role of psychological factors such as different personality traits and tourism worries on the tourist behavior based on the perceived risk of affected destinations. Moreover, the assumption was that tourism worrieswill mediate the relationship between analyzed personality traits and tourist behavior based on the perceived risk. Although previous studies investigated the effect of different psychological factors on tourist behavior based on the perceived risk, this is the first study to explore the interaction of different psychological factors including tourism worries, which previously were not analyzed in this context. Besides theoretical contribution, practical implications are also further discussed in the paper within the realm of their use for destination managers.
During the summer season 2018 and 2019, natural hazards (namely, floods and wildfires) have occurred at some of the most popular tourist destinations in Greece, endangering tourists' safety and vacation quality. These have influenced tourists' perception of Greece as a "potentially risky destination, “causing a decrease in the number of tourists willing to visit this country. However, the current study assumes that some tourists will show more courageous travel behavior in the aftermath of natural hazards, while others will remain cautious when deciding to travel to risky destinations. Therefore, the questionnaire on a sample group of 431 respondents from Serbia and Romania was conducted to explore the factors influencing such differences. The study aims to explore whether tourists' individual characteristics influence tourism worries and tourist behavior based on perceived risks. The study also intends to analyze the moderating role of tourists' nationality, considering the relationship between personality and tourist behavior based on the perceived risk. The findings provide evidence that not only tourists’ personality but also sociodemographic characteristics influence tourism worries and tourist behavior based on the perceived risk. Additionally, the study is the first to explore and confirm the role of nationality in tourist behavior based on the perceived risk, as well as the moderation role of nationality in regression between tourist’s personality and behavior based on the perception of risk. Theoretical and practical implications are discussed in the paper.
Hotels, like any other businesses in a given location, can be threatened by natural disasters, usually with significant and long-term consequences. The hotel industry is particularly vulnerable and exposed to the risk of property being physically damaged or completely destroyed. Apart from the physical damage, there is also an accompanying economic risk of the tourism sector suffering as tourists avoid areas affected by a disaster event. Therefore, hotels in the areas prone to natural disasters must ensure they are resilient enough to carry on through the turbulent period until regular business levels return. This study is based on survey responses of 63 hotel managers from the 12 European countries most frequently affected by natural disasters. The study relies on multi-capital predictor based approach and examines hotel resilience to natural disasters. It has been found that managers’ previous experience of a natural disaster, duration of managerial experience, and organizational category and size have a positive effect on hotel resilience. Moreover, hotels must anticipate such situations and continuously drill how to respond efficiently and adapt quickly in order to ensure business sustainability. Practical implications, study limitations and future research recommendations are also discussed.
Hydrological heritage is a relatively new concept in the field of geosite assessment. The principal aim of this study is to apply M-GAM (Modified geosite assessment model) for comparative analysis of the Krupaja spring and the Žagubica (Mlava) spring, located in Homolje area, in Eastern Serbia. According to the classification of geosites of Institute for Nature Conservation of Serbia, these sites are on the list of protected sites (“hydro(geo)logical” heritage sites) of extraordinary national importance; however, they still have not gained necessary recognition in Serbia. Thus, their assessment according to different target groups should provide a clearer picture of their current condition. As M-GAM considers that not all indicators for evaluation of geosites are of the same importance, this paper applies two methods for comparing and determining the importance of indicators and subindicators in the model (Analytical-hierarchy process (AHP) and descriptive statistics conducted by SPSS). Also, it is assumed that different target groups will give different importance to some indicators in the model, which would result in various evaluation scores for the same geosites. The paper also provides a comparative analysis of the assessment carried out by two different target groups – potential geotourists and geoexperts. The results obtained by AHP and descriptive statistics are quite similar, which confirms the reliability of respondents’ answers and the results gained. The analyzed sites are differently positioned in the evaluation matrix, and implications are further discussed in the paper.
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