Overtourism problems, anti-tourist movements and negative externalities of tourism are popular research approaches and are key concepts to better understand the sustainable development of tourism destinations. In many of the overtourism narratives, Venice is considered to be one of the most relevant cases of overtourism and therefore has become a laboratory for studying the different conflicts that emerge when tourism numbers continue to grow and the quality of the tourism flow continues to decline. This article is therefore focusing on Venice and on one of the possible solutions to mitigate the negative impacts of tourism represented by the concept of a tourist carrying capacity (TCC) in an urban destination. The aim of this paper is to discuss alternative methodologies regarding the calculation of the TCC, and to apply a fuzzy instead of a ‘crisp’ linear programming model to determine the scenarios of a sustainable number of tourists in the cultural destination of Venice, looking for the optimal compromise between, on the one hand, the wish of maximizing the monetary gain by the local tourism sectors and, on the other, the desire to control the undesirable effects that tourism exerts on a destination by the local population. To solve the problems related to tourism statistics and data availability, some uncertainty in the parameters has been included using fuzzy numbers. The fuzziness in the model was introduced on the basis of questionnaires distributed among both tourists and residents. By applying the fuzzy linear programming model to the emblematic case of Venice, it was shown that this approach can indeed help destinations to understand the challenges of sustainable tourism development better, to evaluate the impact of alternative policies of overtourism on the sustainability of tourism, and hence, to help design a strategy to manage tourist flows more adequately

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In just a couple of years, the sharing econom y grew out to becom e a significant segm ent of the holiday accom m odation m arket. O nline peer-topeer m arketplaces allow people to offer room s or entire houses to tourists, w ith A irbnb being the biggest and m ost fam ous exam ple. T his paper aim s to give an insight into explaining w hich factors and attributes influence the success of A irbnb accom m odations in the V eneto R egion, using occupancy as a proxy. W e analysed characteristics of 1962 4 A irbnb accom m odations. T he logistic regression m odel identifies a num ber of influential attributes w hich can be divided betw een locational characteristics, being located in attractive tourism destinations, and accom m odation characteristics, for exam ple the price, rating, num ber of previous bookings and the status of the host. T he quantitative analysis allow s to create an attractiveness scale, w hich is analysed for geographic patterns.

This paper addresses the fundamental role that cultural heritage can play in local development processes to guarantee community wellbeing, quality of life, and quality of society. The enhancement of cultural heritage’s tangible and intangible values may result in sustainable and resilient territory, but a number of issues emerge when dealing with the reuse of specific inherited assets, such as former military barracks. This paper conducts an in-depth analysis of these assets, especially those released from the military after the end of the Cold War. We thus explore the Italian case through the comparison of before-1900 and 1900-to-1950 former military barracks. The objectives are the following. First, to discover how these two types of military sites are approached (or no) as proper heritage. Second, to understand how the reuse management is carrying out and how it deals with conservative and profit-driven approaches towards the achievement of cultural, economic, environmental, and social sustainability. Third, to compare the Italian case with similar international good practices to discover common/different trends and innovative solutions to be applied in Italy.

Overtourism studies are increasingly focused on the relationship between tourists and residents. This includes the livability of the destination and the well-being of its residents; the growth of the tourism sector (particularly unchecked or unlimited growth), as well as the threat to natural heritage, such as beaches and mountains. A number of researchers have also highlighted the popularity of the term, as well as the lack of a theoretical understanding of the implications of it, and practical solutions to the problems posed by overtourism. This research aims to monitor the impact of, and understand the problems posed by, overtourism through approaching the phenomenon through the lens of big data analytics. The location of thisresearch is a UNESCO World Heritage site in Italy, namely the Dolomites. By using telco data, we were able to apply a big data analysis of a destination in order to monitor the movement of tourists and day visitors. By analyzing their behaviour at the destination, it has been possible to quantify daily visitors and analyse how they impact this natural site. In addition, it has beenpossible to compare statistical data with big data, which offers new insights into tourism at the destination. This research, by exploiting the value of big data in tourism, creates a heritage usage rate as well as new indicators for the measurement of overtourism. Ultimately, this can help to control tourism flows and mitigate negative externalities.