13,232 research outputs found
De destinos turÃsticos inteligentes a regiones turÃsticas inteligentes
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 turÃstico inteligente en un nivel regional. Este artÃculo plantea si esto se debe a las raÃces 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 artÃculo, 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 turÃsticas 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
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
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
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
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
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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