The use of tracking technologies in tourism research: the first decade

Noam Shoval, Rein Ahas

Tourism Geographies · 2016 · 255 citations · 77 references

Concepts

TL;DR

Over the past decade, tourism research has rapidly adopted tracking technologies, with annual publication rates rising and digital data offering precise, broad spatial‑temporal coverage that can be enriched by questionnaires and sensors. Studies employed GPS, mobile positioning, Bluetooth tracking, geocoded social media, and photo databases, covering sites from single attractions to global scales. The review identified 45 peer‑reviewed papers—40 % of the top tourism journals—divided into three generations: initial methodological studies, data‑rich explorations revealing new tourism aspects, and recent work challenging core tourism and consumer behavior theories.

Abstract

The past decade has witnessed dramatic growth in the implementation of various tracking technologies in tourism studies. A thorough review of literature reveals that 45 papers were published in peer-reviewed scientific journals, comprising 40 percent of the papers published in the three leading journals on tourism scholarship. The rate of papers published annually has grown in recent years and it is clear that this novel field is further expanding. The majority of studies analyzed employed GPS, mobile positioning, Bluetooth tracking, geocoded social media, and photo databases. The studies ranged in geographical scope from individual attractions to global capacity. Based on our review, tourism research that uses tracking data can be divided into three categories: the first generation of studies focused on methodological dimensions and the potential of tracking data. The second generation made use of spatially and temporally rich data and uncovered new aspects of tourism. The third generation made use of the new data sources to challenge fundamental questions on tourism and consumer behavior. Digital tracking data have clear advantages – data are spatially and temporally precise, geographic and temporal coverage of datasets is broad, and tracking data can be supplemented using questionnaires, sensors, and other sources.

References

77