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High level of visitor satisfaction is an important signal of sustained success for tourism destinations. The primary goal of this research study is to identify differences in reported visitor satisfaction that do not accurately reflect differences in the delivery of satisfaction by destinations. Our aim is to reveal the influence of factors, such as weather conditions, that may distort comparisons of tourism destinations when measuring visitors’ satisfaction with their stays. We used a generalized linear model (GLM) to estimate reported satisfaction as a function of various factors, with weather included as a factor. The analysis shows that weather as well as the other extraneous factors play an important role in measuring visitors’ satisfaction. The results suggest that when comparing the relative success of various tourism destinations, adjustments in destination benchmarking are necessary to avoid arbitrary bias caused by differences in the timing and conditions of visitor data collection.

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High level of satisfaction of tourists is one of the most common goals of sustainable tourism destinations. The general assumption is that higher level of tourists' satisfaction leads to a higher tourists' loyalty to destinations. This research looks on this relationship from macro level of European Union (EU) countries. We have used data from Eurobarometer-Preferences of Europeans towards Tourism between 2013 and 2016to statistically compare and analyse several satisfaction indicators of European tourists incoming the chosen EU countries. The results show significant differences amongst countries as destinations and could be used to identify strengths and weaknesses of EU countries as tourism destinations. The robust data set enables the benchmarking of EU countries as tourism destinations from the tourists' satisfaction point of view. This study shows the ranking of the EU countries in several dimensions of tourists' satisfaction.

This paper focuses on the highly demanding issue of managing residents’ attitudes towards tourism development in urban tourism destinations. The objective of this study was to find efficient solutions in how to manage residents’ attitudes systematically to reduce residents’ irritation in urban destinations, which are considered as complex systems. Therefore, the systems approach methods such as system dynamics and simulation modelling were used. The presented system dynamic model represents the main theoretical contribution of this paper and fills a gap in the current theory of using systems approach to manage residents’ attitudes and reduce residents’ irritation. The model enables wide range of simulations and can be applied in practice in urban destinations with high tourism intensity to find suitable solutions for a particular destination. The case of Český Krumlov Town, the Czech Republic, show that regulating the number of visitors helps to reduce the overall irritation of residents, especially in peak times when overcrowding occurs, but this alone may not be sufficient to keep residents’ irritation lower in the long-term. Therefore, it is necessary to use a more advanced approach by combining visitor management with benefits for residents.