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

Abstract

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.

Modelling the intra-destination behaviour of cruise visitors based on a three-dimensional approach

“…Previous research on intra-destination behaviour has mainly been based on analysing spatio-temporal flows or mobility patterns, while, until now, participation patterns have been studied in a secondary stage (Chantre-Astaiza et al, 2019;Grinberger & Shoval, 2019;Xu et al, 2019). The main theoretical contribution of this paper is therefore the proposal of a consistent three-dimensional framework that integrates spatial movement, temporal consumption and interaction with attractions.…”

“…The earliest studies in the context of intra-destination behaviour focus on the spatiotemporal dimensions in order to discover intra-destination mobility patterns (Hall, 2005;Lew & McKercher, 2006;McKercher & Lew, 2004). However, recent studies have highlighted that the traditional spatio-temporal framework does not consider the effect of facts and experiences when examining tourist mobility (Chantre-Astaiza et al, 2019;Han et al, 2018;Xu et al, 2019). Even more recently, Grinberger and Shoval (2019, p.512) introduced a new term to refer to this complex phenomenon, 'tourist activity patterns', "resulting from the interaction between time-space constraints and the cognitive, social, cultural and emotional tourists' factors".…”

The Cultural Heritage and the Shaping of Tourist Itineraries in Rural Areas: The Case of Historical Ensembles of Extremadura, Spain

“…After this confirmation, the possibility of creating tourist itineraries was considered by taking as a reference the most visited municipalities and the Historical Ensembles that would be viable, as it has been shown that tourist mobility patterns can be extracted [73][74][75][76]. From all of this, it can be gathered that the most visited municipalities (origin) and the Historical Ensembles (destination) were taken as a reference to establish the itineraries.…”

Integrated Approach for Optimizing the Touristic Space Plan for Sustainable Urban Development: A Case Study of Dalian City, China

“…In recent years, big data, geographic information systems (GIS), computer simulation and other technologies have been applied widely in the field of tourism spatial planning research. Moreover, smartphones and travel websites provide strong technical support for smart tourism, due to the progress of social media [5], [6]. There are many forms of big data collection and application, among which visual analysis is frequently used.…”