Exploring the use of mobile phone data for domestic tourism trip analysis
In this work, we discuss how an existing algorithm to extract long-distance trips from mobile phone data (Janzen et al., 2016 a,b) can be supplemented with man-made heuristics to arrive at plausible domestic tourism trips. In total, we detect 18,380 domestic tourism trips from mobile phone data of 6...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Netcom Association
2017-12-01
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| Series: | Netcom |
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| Online Access: | https://journals.openedition.org/netcom/2742 |
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| _version_ | 1832580357750259712 |
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| author | Maarten Vanhoof Liane Hendrickx Aare Puussaar Gert Verstraeten Thomas Ploetz Zbigniew Smoreda |
| author_facet | Maarten Vanhoof Liane Hendrickx Aare Puussaar Gert Verstraeten Thomas Ploetz Zbigniew Smoreda |
| author_sort | Maarten Vanhoof |
| collection | DOAJ |
| description | In this work, we discuss how an existing algorithm to extract long-distance trips from mobile phone data (Janzen et al., 2016 a,b) can be supplemented with man-made heuristics to arrive at plausible domestic tourism trips. In total, we detect 18,380 domestic tourism trips from mobile phone data of 69,000 users sampled in 32 cities in France. By analysing temporal, spatial and social characteristics of the domestic tourism trips, we explore several possible directions for the use of mobile phone data when studying domestic tourism on a large scale. We show how temporal patterns of mobile phone use differ from baseline behaviour, how destinations of trips can algorithmically be derived, and how future research can integrate information on the activation of the social network. Our main contribution is that we describe current barriers and sketch direction for future research. |
| format | Article |
| id | doaj-art-2135e17cbae74e52803fb7ccdbc50bab |
| institution | Kabale University |
| issn | 0987-6014 2431-210X |
| language | English |
| publishDate | 2017-12-01 |
| publisher | Netcom Association |
| record_format | Article |
| series | Netcom |
| spelling | doaj-art-2135e17cbae74e52803fb7ccdbc50bab2025-01-30T11:00:52ZengNetcom AssociationNetcom0987-60142431-210X2017-12-013133537210.4000/netcom.2742Exploring the use of mobile phone data for domestic tourism trip analysisMaarten VanhoofLiane HendrickxAare PuussaarGert VerstraetenThomas PloetzZbigniew SmoredaIn this work, we discuss how an existing algorithm to extract long-distance trips from mobile phone data (Janzen et al., 2016 a,b) can be supplemented with man-made heuristics to arrive at plausible domestic tourism trips. In total, we detect 18,380 domestic tourism trips from mobile phone data of 69,000 users sampled in 32 cities in France. By analysing temporal, spatial and social characteristics of the domestic tourism trips, we explore several possible directions for the use of mobile phone data when studying domestic tourism on a large scale. We show how temporal patterns of mobile phone use differ from baseline behaviour, how destinations of trips can algorithmically be derived, and how future research can integrate information on the activation of the social network. Our main contribution is that we describe current barriers and sketch direction for future research.https://journals.openedition.org/netcom/2742mobile phone datadomestic tourismtrip detection algorithmsCDR |
| spellingShingle | Maarten Vanhoof Liane Hendrickx Aare Puussaar Gert Verstraeten Thomas Ploetz Zbigniew Smoreda Exploring the use of mobile phone data for domestic tourism trip analysis Netcom mobile phone data domestic tourism trip detection algorithms CDR |
| title | Exploring the use of mobile phone data for domestic tourism trip analysis |
| title_full | Exploring the use of mobile phone data for domestic tourism trip analysis |
| title_fullStr | Exploring the use of mobile phone data for domestic tourism trip analysis |
| title_full_unstemmed | Exploring the use of mobile phone data for domestic tourism trip analysis |
| title_short | Exploring the use of mobile phone data for domestic tourism trip analysis |
| title_sort | exploring the use of mobile phone data for domestic tourism trip analysis |
| topic | mobile phone data domestic tourism trip detection algorithms CDR |
| url | https://journals.openedition.org/netcom/2742 |
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