Measuring tourism destinations using mobile tracking data

Raun, Janika; Ahas, Rein; Tiru, Margus

doi:10.1016/j.tourman.2016.06.006

Cited by 201 publications

(128 citation statements)

References 60 publications

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“…There is a lot of tourism research, but as Xiao and Smith [30] have pointed out, one of the major limitations of research in tourism is caused by the fact that the research is, in most cases, concerned with a single case, location, nationality, etc. Examples of such research can be found in the work of e.g., Soybali [31], Raun et al [32], Peng et al [33], Del Vecchio et al [34] and Guilarte and Quintans [35]. The scientific publications presented in Table 1 indicate that work is focused on the use of databases in order to develop methods and tools demonstrating the spatial diversity of tourism.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Diversity of Tourism in the Countries of the European Union

Roman

Niedziółka

2020

Sustainability

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The aim of the article is to present the spatial diversity of tourism in the countries of the European Union (EU). The main objective of the article can be divided into three immediate goals, each of which is to determine countries that are similar by means of: (1) accommodation base; (2) tourism traffic; and (3) tourism-related expenditures and revenues. In order to group countries, Ward’s cluster analysis method is used. The aim is verified with the use of 2017 United Nations World Tourism Organization (UNWTO) and Eurostat data. The analysis covers all EU member states. The research conducted confirms, inter alia, the key role of the accommodation base in the development of tourism in those countries.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial Diversity of Tourism in the Countries of the European Union

Roman

Niedziółka

2020

Sustainability

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“…Scuderi and Dalle Nogare () use destination cards to identify the most common sequences of activities recorded using them. Other researchers such as David‐Negre et al () or Raun et al () have suggested using social media or mobile phones to track visitors' movements within destinations. However, according to Kádár (), there is no single technique capable of gathering all the information related to all the movements made by visitors in tourism destinations.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to McKercher and Lau (), this is because the collection and analysis of data related to the movements made by tourists are complicated tasks. However, this problem is currently being addressed in greater depth thanks to the possibility of accessing new information sources (Raun, Ahas, & Tiru, ). This has meant that an increasing amount of research is being published that analyzes the patterns of tourists' displacements in tourism destinations (Smallwood, Beckley, Moore, & Kobryn, ).…”

Section: Introductionmentioning

confidence: 99%

Why do tourists differ in their likelihood to visit attractions? The case of Lanzarote

Padrón‐Ávila

Martín

2019

Journal of Tourism Research

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In this paper, more than 35,000 survey responses given by tourists from 2010 and 2016 are used to explain visits to tourism attractions in Lanzarote. In the survey, tourists are asked about a wide set of variables. Among these, there is a question regarding the attractions visited during their trip. With these data, it has been possible to carry out a discrete choice model analysis to establish the variables that explain why certain tourists are more prone to visit attractions than others. This study is relevant to understand tourists' mobility patterns and behavior. It also has implications for marketing managers and tourism product developers.

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“…The present advances in geo-computation and spatial analysis further enhance the potential of understanding socio-economic dynamics at regional level, given the existence of large digital data sets (GPS, mobile applications, social media). In regards to these data sets, complex system analysis brings together a unique opportunity for enabling an adaptive spatial vision for tourism, leisure and recreation, as exemplified by Raun et al (2016). Quantitative and qualitative methods may be used and intertwined with Geographic Information Systems and Science.…”

Section: Advanced Tourism Data Metrics and Analysismentioning

confidence: 99%

The future of European communication and transportation research: a research agenda

Geurs

Macharis

2019

REGION

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Our mobility system is changing rapidly. We are at the crossroad of major changes in the way we travel and deliver goods. Research agendas are adapting to this changed environment with new challenges and opportunities. This paper presents a research agenda for the future of transportation research structured along eight cluster topics of the Network on European Communication and Transport Activities Research (NECTAR). The research agenda firstly highlights the growing complexity and need for multi- and interdisciplinary transportation research. Secondly, sustainability needs to be addressed in transportation research in its full meaning, including relationships between policy-making investigations and environmental and equity effects. Thirdly, ICTs and digitalisation, the development of (shared) autonomous vehicles and shared mobility will have profound impacts on economies and spatial interactions all-around the world, and availability of high resolution spatial and transportation data. Digitalisation generates many new research opportunities but also give rise to new concerns about privacy, safety, equity and public health.

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Measuring tourism destinations using mobile tracking data

Cited by 201 publications

References 60 publications

Spatial Diversity of Tourism in the Countries of the European Union

Spatial Diversity of Tourism in the Countries of the European Union

Why do tourists differ in their likelihood to visit attractions? The case of Lanzarote

The future of European communication and transportation research: a research agenda

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