Mobile phone data and tourism statistics: a broken promise?

Mobile phone data represents an original source of information about the movements of individuals across territories and, in particular, of visitors. The systematic use of this data for statistical purposes is expected to provide several advantages: timeliness, deeper geographical and time granulari...

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Main Authors: Laura Grassini, Gianni Dugheri
Format: Article
Language:English
Published: AIMS Press 2021-04-01
Series:National Accounting Review
Subjects:
Online Access:http://www.aimspress.com/article/doi/10.3934/NAR.2021002?viewType=HTML
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spelling doaj-bbbfa15230a345f393f9d2ddb4818da32021-04-13T00:53:21ZengAIMS PressNational Accounting Review2689-30102021-04-0131506810.3934/NAR.2021002Mobile phone data and tourism statistics: a broken promise?Laura Grassini 0Gianni Dugheri11. Department of Statistics, Computer Science, Applications, University of Florence, Italy2. Statistics Department of the Municipality of Florence, Florence, ItalyMobile phone data represents an original source of information about the movements of individuals across territories and, in particular, of visitors. The systematic use of this data for statistical purposes is expected to provide several advantages: timeliness, deeper geographical and time granularity, and reduction of the statistical burden of respondents. To check whether that expectation is well placed, this paper reports a bibliometric analysis and a subsequent literature review of the recent contributions to the use of mobile phone data in quantifying the volume of tourist flows. The main findings show that the systematic exploitation of mobile phone data for producing tourism statistics is still limited in terms of countries (Estonia, Indonesia) and domain (international flows). Furthermore, the basic definitions of visitors stated by the EU Regulation 692/2011 are rarely applied on mobile phone data, and the population of visitors/tourists is often derived as a residual group after having identified the other people movements (residents, commuters). Both the literature review and a brief case study of the Metropolitan City of Florence show the main weaknesses of mobile phone data, which include costs, privacy restrictions, statistical issues of representativeness, among others. Finally, it is clear that mobile phone data cannot completely substitute current surveys on tourism flows because they do not include some noteworthy information concerning a tourist's motivations and a trip's characteristics.http://www.aimspress.com/article/doi/10.3934/NAR.2021002?viewType=HTMLbig datatracking technologiesfirenzepeople movementsbiblioshinytourism statistics
collection DOAJ
language English
format Article
sources DOAJ
author Laura Grassini
Gianni Dugheri
spellingShingle Laura Grassini
Gianni Dugheri
Mobile phone data and tourism statistics: a broken promise?
National Accounting Review
big data
tracking technologies
firenze
people movements
biblioshiny
tourism statistics
author_facet Laura Grassini
Gianni Dugheri
author_sort Laura Grassini
title Mobile phone data and tourism statistics: a broken promise?
title_short Mobile phone data and tourism statistics: a broken promise?
title_full Mobile phone data and tourism statistics: a broken promise?
title_fullStr Mobile phone data and tourism statistics: a broken promise?
title_full_unstemmed Mobile phone data and tourism statistics: a broken promise?
title_sort mobile phone data and tourism statistics: a broken promise?
publisher AIMS Press
series National Accounting Review
issn 2689-3010
publishDate 2021-04-01
description Mobile phone data represents an original source of information about the movements of individuals across territories and, in particular, of visitors. The systematic use of this data for statistical purposes is expected to provide several advantages: timeliness, deeper geographical and time granularity, and reduction of the statistical burden of respondents. To check whether that expectation is well placed, this paper reports a bibliometric analysis and a subsequent literature review of the recent contributions to the use of mobile phone data in quantifying the volume of tourist flows. The main findings show that the systematic exploitation of mobile phone data for producing tourism statistics is still limited in terms of countries (Estonia, Indonesia) and domain (international flows). Furthermore, the basic definitions of visitors stated by the EU Regulation 692/2011 are rarely applied on mobile phone data, and the population of visitors/tourists is often derived as a residual group after having identified the other people movements (residents, commuters). Both the literature review and a brief case study of the Metropolitan City of Florence show the main weaknesses of mobile phone data, which include costs, privacy restrictions, statistical issues of representativeness, among others. Finally, it is clear that mobile phone data cannot completely substitute current surveys on tourism flows because they do not include some noteworthy information concerning a tourist's motivations and a trip's characteristics.
topic big data
tracking technologies
firenze
people movements
biblioshiny
tourism statistics
url http://www.aimspress.com/article/doi/10.3934/NAR.2021002?viewType=HTML
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