2022
DOI: 10.1016/j.annale.2022.100061
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Measuring tourism with big data? Empirical insights from comparing passive GPS data and passive mobile data

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Cited by 9 publications
(6 citation statements)
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“…As was demonstrated, official statistics on tourism have many shortcomings and ambiguities that can be eliminated by new research technologies, such as mobile positioning data. Knowledge of the real-time activities of tourists at a certain location and their spatio-temporal behavior can provide much added value for sustainable tourism policy and destination management [73]. As was highlighted in the introduction of this paper, despite the growing importance of Big Data sources in tourism research, a comprehensive overview of the processing and filtering of mobile positioning data to capture various unobserved forms of tourist movements is by and large missing from the literature.…”
Section: Discussionmentioning
confidence: 99%
“…As was demonstrated, official statistics on tourism have many shortcomings and ambiguities that can be eliminated by new research technologies, such as mobile positioning data. Knowledge of the real-time activities of tourists at a certain location and their spatio-temporal behavior can provide much added value for sustainable tourism policy and destination management [73]. As was highlighted in the introduction of this paper, despite the growing importance of Big Data sources in tourism research, a comprehensive overview of the processing and filtering of mobile positioning data to capture various unobserved forms of tourist movements is by and large missing from the literature.…”
Section: Discussionmentioning
confidence: 99%
“…into a digital database in GIS format. The base data is based on Topographic Map scale 1:50000 from the Royal Thai Survey Department, and data from field surveys from measuring and recording the coordinates of cultural attractions with the Global Positioning System (GPS) (Mou et al, 2022;Schmücker and Reif, 2022). Information collected in the field study: community locations, commercial districts, restaurants, religious landmarks, palaces and museums, and government offices.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, it is necessary to apply global positioning systems (GPS) data to collect data today. Schmücker and Reif (2022) collected data for three holiday destinations in Germany, passive mobile data and passive global positioning systems (GPS) data are compared with reference data from the destinations for twelve weeks in the summer of 2019. Liu et al (2022) conducted research on destination planning, marketing, and resource management.…”
Section: Introductionmentioning
confidence: 99%
“…These include managing visitors through monitoring, tracking, movement data and big visitor data. Examples include GPS tracking, geotagging, scraped platform data, crowd dispersal systems and artificial intelligence (Garcı ´a, Osborne, Kemp, & Woodfine, 2017;Hardy et al, 2017;Schmu ¨cker & Reif, 2022). When managing attractions and periphery, this can include creating alternative routes, promoting places outside the centre and de-seasonalisation.…”
Section: Literature Reviewmentioning
confidence: 99%