13,232 research outputs found

    De destinos turísticos inteligentes a regiones turísticas inteligentes

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    There is growing interest in developing smart tourism beyond individual smart destinations, but research and practice currently do not supply the necessary conceptualizations that could inform smart tourism development at a regional level. This paper argues that this is the case because of smart tourism’s roots in smart city ideas and literature. It discusses the main pillars of smart tourism and smart destinations and then illustrates how pervasive urban biases are in the smart development arena. The paper then highlights the many ways in which these are problematic for reaching regional smart tourism understandings and designing appropriate regional-level strategies. It calls for smart tourism regions to be defined beyond clusters of individual smart destinations and across all domains of smartness.Existe un creciente interés en el desarrollo del turismo inteligente más allá de los destinos inteligentes individuales, pero actualmente la investigación y la práctica no son capaces de ofrecer las conceptualizaciones necesarias que permitan conformar el desarrollo turístico inteligente en un nivel regional. Este artículo plantea si esto se debe a las raíces que el turismo inteligente tiene en las ideas de ciudades inteligentes y en la literatura. Se discuten los pilares principales del turismo inteligente y de los destinos inteligentes y, después, se ilustra cómo los sesgos urbanos generalizados existen en el área de desarrollo inteligente. Este artículo, después, resalta las múltiples formas en las que estos sesgos son problemáticos para la consecución de un entendimiento sobre el turismo inteligente regional y para el diseño de estrategias apropiadas para un nivel regional. Es necesario que las regiones turísticas inteligentes sean definidas como algo más que agrupaciones de destinos inteligentes individuales y en los que sean aplicables todos los dominios de inteligencia

    Economic and labour market implications of climate change on the tourism sector of the Maltese Islands

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    This paper reviews threats to, and consequences of, current climate and environmental change on tourism destinations. The paper reviews recent published research on the impacts of climate and environmental change and consequences of such on the physical social and economic character of tourism operations using the Maltese Islands as a case. The validity and practicality of management options to tackle the complex nature and juxtaposition between tourism growth, climate and environment change and tourism destination management are considered, including an evaluation of management responses, the efficacy of local governance and consequent policy options and choices. The research methodology is focused upon a qualitative evaluation of contextual issues utilising media analysis techniques from case studies drawn from the immediate locality of the study area. These are used to highlight and illustrate particular sensitive issues and points for contention and how these in turn might relate to tourism in Malta and its future prospects. Conclusions from the research demonstrate and discuss the efficacy of current predictions and how tourism infrastructure and destination management issues should be tailored to more strategic policy responses from all key tourism and environmental stakeholders in both the private and public sectors. In this respect the paper highlights the current impasse between public perception and policy implementation which, to date, largely continues to ignore immediate threats and thus fails to provide adequate strategic management responses or responsible governance. In conclusion strategic and combined management strategies are considered and advocated for managing tourism destinations and for addressing the increasing demands from the often complex tiers of stakeholder groups that are represented. In this context implications are further drawn for the future prospects for tourism within the Maltese Islands. These specifically relate to changing demands to tourism employment, tourism product and service growth, tourism capital investment, tourism competitiveness and tourism skills and educational development.peer-reviewe

    Scaling of city attractiveness for foreign visitors through big data of human economical and social media activity

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    Scientific studies investigating laws and regularities of human behavior are nowadays increasingly relying on the wealth of widely available digital information produced by human social activity. In this paper we leverage big data created by three different aspects of human activity (i.e., bank card transactions, geotagged photographs and tweets) in Spain for quantifying city attractiveness for the foreign visitors. An important finding of this papers is a strong superlinear scaling of city attractiveness with its population size. The observed scaling exponent stays nearly the same for different ways of defining cities and for different data sources, emphasizing the robustness of our finding. Temporal variation of the scaling exponent is also considered in order to reveal seasonal patterns in the attractivenessComment: 8 pages, 3 figures, 1 tabl

    Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions

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    Intensive development of urban systems creates a number of challenges for urban planners and policy makers in order to maintain sustainable growth. Running efficient urban policies requires meaningful urban metrics, which could quantify important urban characteristics including various aspects of an actual human behavior. Since a city size is known to have a major, yet often nonlinear, impact on the human activity, it also becomes important to develop scale-free metrics that capture qualitative city properties, beyond the effects of scale. Recent availability of extensive datasets created by human activity involving digital technologies creates new opportunities in this area. In this paper we propose a novel approach of city scoring and classification based on quantitative scale-free metrics related to economic activity of city residents, as well as domestic and foreign visitors. It is demonstrated on the example of Spain, but the proposed methodology is of a general character. We employ a new source of large-scale ubiquitous data, which consists of anonymized countrywide records of bank card transactions collected by one of the largest Spanish banks. Different aspects of the classification reveal important properties of Spanish cities, which significantly complement the pattern that might be discovered with the official socioeconomic statistics.Comment: 10 pages, 7 figures, to be published in the proceedings of ASE BigDataScience 2014 conferenc

    Geo-located Twitter as the proxy for global mobility patterns

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    In the advent of a pervasive presence of location sharing services researchers gained an unprecedented access to the direct records of human activity in space and time. This paper analyses geo-located Twitter messages in order to uncover global patterns of human mobility. Based on a dataset of almost a billion tweets recorded in 2012 we estimate volumes of international travelers in respect to their country of residence. We examine mobility profiles of different nations looking at the characteristics such as mobility rate, radius of gyration, diversity of destinations and a balance of the inflows and outflows. The temporal patterns disclose the universal seasons of increased international mobility and the peculiar national nature of overseen travels. Our analysis of the community structure of the Twitter mobility network, obtained with the iterative network partitioning, reveals spatially cohesive regions that follow the regional division of the world. Finally, we validate our result with the global tourism statistics and mobility models provided by other authors, and argue that Twitter is a viable source to understand and quantify global mobility patterns.Comment: 17 pages, 13 figure

    drivers and emerging innovations in knowledge based destinations towards a research agenda

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    Abstract Research on innovation in tourism is fragmented and confined to traditional paradigms. This critical review paper, which cross-fertilises and discusses the relevant literature in tourism and other theoretical domains, proposes an integrative theoretical framework of innovation in destinations. The paper identifies four emerging innovations – experience co-creation, smart destinations, e-participative governance and social innovation – as evolutionary, knowledge-driven phenomena that are generated by the interaction among four destination actors and facilitated by information and communication technologies (ICTs) and social capital. The discussion and conclusion present some theoretical advances as follows: local contexts matter in destination innovation when assuming a repository role of spatial and cross-sectorial knowledge; social capital and ICT infrastructures facilitate innovativeness and stakeholder engagement; and emerging innovations are pervasive and the holistic results of the collective knowledge of four destination actors and are facilitated by ICT and social capital. The paper offers avenues for future research and challenges that should be explored by academics, policy makers and destination managers
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