1,721,003 research outputs found

    Can Nationality Explain Economic Tourist Behaviour? A Thematic Review

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    Numerous studies focus on the determinants of choices regarding tourism consumption utilizing several methods, different data sources, with diverse results. And the notion of considering nationality as an influential factor in tourism expenditure has been considered very often in the literature. This work examines this relationship between nationality and tourism expenditure by means of a thematic review approach. The results suggest the critical role played by nationality in understanding the determinants of tourism expenditure

    Tourism Destination Image, Tourism Discourse and UNESCO sites: a contrastive analysis

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    The purpose of this paper is to analyse tourism discourse - i.e. English as specialised and promotional discourse in the tourism field (Dann 1996, Gotti 2006, Maci, 2013) – as it is applied on websites promoting UNESCO sites in Sicily and in Malta. The consequent Tourism Destination Image (Crompton 1979; Echtner & Ritchie 1991) conveyed by the websites will also be investigated. A mixed methodological approach, both qualitative and quantitative, has been adopted. More specifically, the Corpus Linguistics approach has been privileged (Teubert 2005; Nigro 2006). The websites considered concern five UNESCO sites in Sicily and five UNESCO sites in Malta in a comparative study; both corpora of websites use English for their online communication. Each website has been analysed according to Dann’s theories (1λλ6) with a special focus on the verbal technique of keywords and on the property of the language of tourism concerning euphoria. The analysis was carried out through the exam of the occurrences of two specific lexico-grammatical features selected, namely: nouns and pre/post modifiers (Halliday 2004). The results of the analysis emphasise the different Tourism Destination Image conveyed by the two groups of UNESCO sites, in Malta and in Sicily, on the basis of the different linguistic choices adopted by the two sub-corpora

    Measuring proximity tourism in Spain duringthe pandemic. An Origin-Destination Matrix approach

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    This work aims to provide more clarity around the concept of proximity tourism giving an overview of how tourist flows changed during the COVID-19 pandemic. The concept of proximity changed over the years in different ways. Indeed, if in the past it was understood only on a geographical or physical level, today it makes sense to talk about the different typologies of proximity such as cultural, political, and social. The economic crisis caused by the COVID-19 pandemic has led to the growing importance of domestic tourism.We use an Origin-Destination (O/D) Matrix approach, considering trips made to Spain in the three years 2019-2021. The idea is to build three matrices containing the coefficients of attraction. This is the first time that this methodology is used on Spanish data to understand the dynamic behind the different Spanish regions in terms of tourism proximity.This study is relevant in terms of political decision-makers and can bring to stimulate tourism within the national territory and encourage local mobility. Proximitytourism is a different way of doing tourism than foreign travel because it allows for greater sustainability in line with the needs of the time, turns out to be a different way of vacationing, and supports local destinations that are often vulnerabl

    COVID-19 pandemic and tourism demand: a comparison between Spain and Italy

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    Studies relating to the COVID-19 pandemic and its effects on tourism demand have been widely described in the literature. The main objective of this work is to quantify the drop in tourism demand, the drastic reduction in travel and changes in travel behavior. In order to undertake this task, a comparison between two important European countries is made: Spain and Italy. The impact of the pandemic on the tourism demand of residents was analyzed by using the two main surveys linked to tourism demand (Viaggi e Vacanze in Italia e all’Estero and Encuesta de turismo de residentes). Departing from an analysis of micro-data, an overview of the data obtained is also included in the work. The results demonstrate a significant reduction in demand with a consequent change in travel behavior

    A comparison between seasonality indices deployed in evaluating unimodal and bimodal patterns

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    This paper will discuss a recently proposed index for measuring seasonality, which is based on the solution of the well-known transportation problem . A specific characterization of the cost matrix will permit the taking into account of the cyclical structure of time periods, which characterizes the phenomenon under observation. Various features of the proposed index will be evaluated by comparing it with other indices which are commonly used in the measurement of seasonality, such as the Gini concentration index. Given the wide range of disciplines with an interest in the analysis of seasonal phenom ena, the approach proposed m ay be of wide interest

    Monitoring event attendance using a combination of traditional and advanced surveying tools

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    This paper will describe the research stages and tools used for monitoring participants’ attendance at the European Researchers’ Night, held in Palermo in September 2017. A combination of traditional survey instruments and new technologies was effected in order to analyse participants’ behaviour during the event. The results derived from these different data sources were also integrated and analysed in order to evaluate the success of the event from social and economic points of view. Data relating to participants’ mobility during the event will be described and clusters of participants proposed, based on their mobility behaviour

    Identification of points of attraction and network analysis for GPS tracking data

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    Global positional system data provide accurate information on units’ movements from both the temporal and the spatial perspective. Several aspects of these movements can be analyzed according to the aim of interest. In this study, we focus on statistical methods for the identification of points of interest and for the analysis of the network of movements for GPS data. A density-based cluster algorithm is applied to summarize the vast amount of information and to find the most relevant points of attraction. A directed network synthesizes the individual unit’s path by using the latter information. Finally, we aggregate the units’ paths in a weighted directed network which is studied through network analysis. The proposed approach is applied to two case studies related to cruise passengers’ movements in urban contexts

    The measurement of seasonality for tourism evaluation

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    Seasonal variations in tourism demand represent one of the most challenging topics in tourism research. After highlighting the main pitfalls which characterize the majority of currently used indices for seasonal amplitude, the present work propose the implementation of a recently discusses a recently proposed index for the measurement of seasonality in tourism, based on the transportation problem approach. An adequate measurement of seasonality is a pre-requisite for the evaluation of the effectiveness of tourism policies aimed at reducing tourism demand imbalance

    Density-based Algorithm and Network Analysis for GPS Data

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    La diffusione dei sistemi di localizzazione GPS offre numerose opportunita per la raccolta di dati di movimento. I dati GPS presentano diversi elementi di complessita derivanti anche dall’elevato dettaglio temporale e territoriale. Numerosi sono gli aspetti che possono essere presi in esame per tale tipologia di dati. Il presente studio propone un approccio statistico basato sull’identificazione dei punti di attrazione e sullo studio dei network. In particolare, viene proposto un algoritmo di identificazione di cluster, sulla base della densita di punti, che vengono sintetizzati in un network che riassume il comportamento individuale. In un secondo step, i movimenti complessivi sono aggregati ed analizzati tramite la network analysis. L’approccio proposto e applicato allo studio dei movimenti di croceristi in contesti ` urbani.The use of advanced global positional system (GPS) trackers has emerged as a novel technology in data collection of units movements. GPS data contain a large amount of information since the signals of the units are recorded almost in real time. The analysis of GPS data can be carried on several aspects of the spatial movements. In this study, we focus on statistical methods for the identification of points of interests and the analysis of the network of movements for GPS data. In particular, a density cluster-based algorithm is applied to summarize the vast amount of information and to find the most relevant points of attractions. A directed network synthesizes the individual unit path by using the latter information. Finally, we aggregate the unit paths in a weighted directed network which is studied through network analysis. We apply the proposed approach to a case study on cruise passengers’ movements in an urban context

    Measuring tourism from demand side

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    This Paper proposes an analysis of tourism from the demand side, taking into account for both the total level of tourism demand produced by some European countries (domestic and outgoing) and its general tendency, and for the seasonal fluctuations which characterize many tourism-related aggregates. Tourist flows from the demand side at the European level are analyzed in the last decade, and a special focus on Italian tourism demand is provided, jointly with an analysis of its seasonal fluctuations. The analysis of general tendency of tourism demand and of the impacts of seasonality is a fundamental pre-requisite for the implementation of tourism policies
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