Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan
© 2014 Elsevier B.V. All rights reserved. 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 partic...
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th-cmuir.6653943832-443692018-04-25T07:49:09Z Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan Santi Phithakkitnukoon Teerayut Horanont Apichon Witayangkurn Raktida Siri Yoshihide Sekimoto Ryosuke Shibasaki Agricultural and Biological Sciences © 2014 Elsevier B.V. All rights reserved. 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. Moreove r, 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. 2018-01-24T04:41:40Z 2018-01-24T04:41:40Z 2015-04-01 Journal 15741192 2-s2.0-85027925252 10.1016/j.pmcj.2014.07.003 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85027925252&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44369 |
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Agricultural and Biological Sciences Santi Phithakkitnukoon Teerayut Horanont Apichon Witayangkurn Raktida Siri Yoshihide Sekimoto Ryosuke Shibasaki Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan |
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© 2014 Elsevier B.V. All rights reserved. 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. Moreove r, 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. |
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Santi Phithakkitnukoon Teerayut Horanont Apichon Witayangkurn Raktida Siri Yoshihide Sekimoto Ryosuke Shibasaki |
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Santi Phithakkitnukoon Teerayut Horanont Apichon Witayangkurn Raktida Siri Yoshihide Sekimoto Ryosuke Shibasaki |
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Santi Phithakkitnukoon |
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 |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85027925252&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44369 |
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