Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan

This article describes a framework that capitalizes on the large-scale opportunistic mobile sensing approach for tourist behavior analysis. The article describes the use of massive mobile phone GPS location records to study tourist travel behavior, in particular, number of trips made, time spent at...

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Main Authors: Phithakkitnukoon,S., Horanont,T., Witayangkurn,A., Siri,R., Sekimoto,Y., Shibasaki,R.
Format: Article
Published: Elsevier 2015
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Online Access:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84906200318&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/39054
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-390542015-06-16T08:01:22Z Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan Phithakkitnukoon,S. Horanont,T. Witayangkurn,A. Siri,R. Sekimoto,Y. Shibasaki,R. Applied Mathematics Computer Science (miscellaneous) This article describes a framework that capitalizes on the large-scale opportunistic mobile sensing approach for tourist behavior analysis. The article describes the use of massive mobile phone GPS location records to study tourist travel behavior, in particular, number of trips made, time spent at destinations, and mode of transportation used. Moreover, this study examined the relationship between personal mobility and tourist travel behavior and offered a number of interesting insights that are useful for tourism, such as tourist flows, top tourist destinations or origins, top destination types, top modes of transportation in terms of time spent and distance traveled, and how personal mobility information can be used to estimate the likelihood in tourist travel behavior, i.e., number of trips, time spent at destinations, and trip distance. Furthermore, the article describes an application developed based on the analysis in this study that allows the user to observe touristic, non-touristic, and commuting trips along with home and workplace locations as well as tourist flows, which can be useful for urban planners, transportation management, and tourism authorities. © 2014 Elsevier B.V. All rights reserved. 2015-06-16T08:01:22Z 2015-06-16T08:01:22Z 2014-08-25 Article in Press 15741192 2-s2.0-84906200318 10.1016/j.pmcj.2014.07.003 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84906200318&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39054 Elsevier
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Applied Mathematics
Computer Science (miscellaneous)
spellingShingle Applied Mathematics
Computer Science (miscellaneous)
Phithakkitnukoon,S.
Horanont,T.
Witayangkurn,A.
Siri,R.
Sekimoto,Y.
Shibasaki,R.
Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan
description This article describes a framework that capitalizes on the large-scale opportunistic mobile sensing approach for tourist behavior analysis. The article describes the use of massive mobile phone GPS location records to study tourist travel behavior, in particular, number of trips made, time spent at destinations, and mode of transportation used. Moreover, this study examined the relationship between personal mobility and tourist travel behavior and offered a number of interesting insights that are useful for tourism, such as tourist flows, top tourist destinations or origins, top destination types, top modes of transportation in terms of time spent and distance traveled, and how personal mobility information can be used to estimate the likelihood in tourist travel behavior, i.e., number of trips, time spent at destinations, and trip distance. Furthermore, the article describes an application developed based on the analysis in this study that allows the user to observe touristic, non-touristic, and commuting trips along with home and workplace locations as well as tourist flows, which can be useful for urban planners, transportation management, and tourism authorities. © 2014 Elsevier B.V. All rights reserved.
format Article
author Phithakkitnukoon,S.
Horanont,T.
Witayangkurn,A.
Siri,R.
Sekimoto,Y.
Shibasaki,R.
author_facet Phithakkitnukoon,S.
Horanont,T.
Witayangkurn,A.
Siri,R.
Sekimoto,Y.
Shibasaki,R.
author_sort Phithakkitnukoon,S.
title Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan
title_short Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan
title_full Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan
title_fullStr Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan
title_full_unstemmed Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan
title_sort understanding tourist behavior using large-scale mobile sensing approach: a case study of mobile phone users in japan
publisher Elsevier
publishDate 2015
url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84906200318&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/39054
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