Tourist Flows and Spatial Behavior

McKercher, Bob; Zoltan, Judit

doi:10.1002/9781118474648.ch2

Cited by 23 publications

(9 citation statements)

References 31 publications

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“…Therefore, as expected, the longer the stay, the more likely tourists are to visit at least one of the places studied. Past studies have reached similar conclusions, pointing out that longer stays at the destination are connected with doing more activities and visiting a larger number of places (McKercher & Zoltan, 2014;Opperman, 1997;Shoval & Raveh, 2004).…”

Section: Resultssupporting

confidence: 52%

“…Thus, the results obtained in this paper can be integrated with evidence obtained in other previous and similar studies. For example, it seems that tourists interested in culture or who stay longer at the destination are more likely to visit attractions than others (Masiero & Zoltan, 2013;McKercher & Zoltan, 2014). However, living in foreign countries or purchasing all-inclusive packages seems to reduce the probabilities of tourists of visiting attractions not only in Lanzarote but also in other destinations (Flognfeldt, 1999;Lew & McKercher, 2006).…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Resultssupporting

confidence: 52%

Section: Discussionmentioning

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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“…The relations between authors means the most frequent co-citation presented. These authors with their main publications are Mckercher [21,43,167,252,277], Shoval [5,6,154,278] Following the network co-citation analysis, another relevant element is the citation of journal inside the selected references. Figure 5 shows the Journal co-citation network.…”

Section: Co-citation Networkmentioning

confidence: 99%

Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability

et al. 2019

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The tracking of tourist movements is an essential aspect in the management of sustainable tourist destinations. The current information and communication technologies provide innovative ways of collecting data on tourist movements, but it is still necessary to evaluate tools and methods of study for this challenge. At this point, mobile technologies are the best candidate for this task. Given the relevance of the topic, this paper proposes a mapping science analysis of publications on "movement of tourists" and "traceability." It has been carried out in the two main sources WOS and SCOPUS. The term "traceability" is brought from industry and technology areas to be applied to the tourist movement/mobility tracking and management. The methodological scheme is based on a selection of search criteria with combinations of terms. The sources of specialized information in applied social sciences and technology were then selected. From there, the searches have been executed for their subsequent analysis in three stages-(I) relevance analysis filtering the results to obtain the most pertinent; (II) analysis of articles with similarity thematic, authors, journals or citations; (III) analysis of selected papers as input for the mapping analysis using Citespace. The automatic naming of clusters under the selected processing confirms that the analysis of movements is a valid scientific trend but research-oriented from the perspective of traceability is non-existent, so this approach is novel and complementary to existing ones and a potential contribution to knowledge about tourist movements. Finally, a set of methodological considerations and a classification of information capture tools are proposed. In this classification, mobile technology is the best option to enable tourist movement analysis.

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“…The range of expectations can be as diverse as the number of visitors or destinations. Simultaneously, each actor is subject to particular circumstances such as time, budget, demographic characteristics, laws and policies, cultural and social practices, and physical and cultural distance (McKercher, 2008;McKercher & Zoltan, 2014). This mix of motivations and circumstance generates an immense diversity of visitors' and destinations' profiles and needs (United Nations & UNWTO, 2010).…”

Section: The Complexities Of Tourismmentioning

confidence: 99%

Tourism Systems Thinking: Towards an Integrated Framework to Guide the Study of the Tourism Phenomenon

Rodriguez-Giron¹,

Vanneste²

2019

Tourism Culture & Communication

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Tourism is widely recognized as a complex phenomenon. Some academics, however, have studied tourism from their own specialization, contributing from the perspective of their specific fields. Others have argued that the complexities of tourism should be tackled more systemically and so have used diverse concepts from systems thinking theory. Nevertheless, nobody has yet presented an integrated framework connecting existing diverse systems thinking concepts, which serves as a more structured point of departure from which to study tourism. This article (1) starts by identifying seven complexities of tourism, (2) discusses eight systems thinking's key notions in the context of those complexities, (3) structures an integrated tourism systems thinking conceptual framework, and (4) provides an application example. Thus, this work contributes with a more structured theoretical foundation for the study of tourism as a system and with an integrated approach to understand its complexities.

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Tourist Flows and Spatial Behavior

Cited by 23 publications

References 31 publications

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

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

Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability

Tourism Systems Thinking: Towards an Integrated Framework to Guide the Study of the Tourism Phenomenon

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