Why people go to unfamiliar areas?

Analysis of mobility pattern based on users' familiarity

Jungkyu Han, Hayato Yamana

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    Human mobility analysis with Location-Based Social Network (LBSN) data is the basis of personalized point-of-interest (POI) recommendations or location-aware advertisements. In addition to personal preference and spatiotemporal factors such as time and distance, personal context has a strong influence on mobility. An individual's familiarity with an area is an interesting context because it can bias the influence of certain factors. For example, the mobility patterns of two persons who have similar preferences are different when their familiarity with the area is different, even in the same area. In this paper, we analyze familiarity's effect on mobility patterns by using over 1.4 million check-ins gathered from Foursquare. The analysis indicates that there is a skewness of the visit time and visited venue distribution in unfamiliar areas. For instance, people go to unfamiliar areas on weekends; and venues for cultural experiences, such as museums, strongly contribute to the motivation of visit.

    Original languageEnglish
    Title of host publication17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings
    PublisherAssociation for Computing Machinery, Inc
    ISBN (Print)9781450334914
    DOIs
    Publication statusPublished - 2015 Dec 11
    Event17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Brussels, Belgium
    Duration: 2015 Dec 112015 Dec 13

    Other

    Other17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015
    CountryBelgium
    CityBrussels
    Period15/12/1115/12/13

    Fingerprint

    Museums

    Keywords

    • Familiarity
    • LBSN
    • Mobility
    • POI

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems
    • Computer Science Applications

    Cite this

    Han, J., & Yamana, H. (2015). Why people go to unfamiliar areas? Analysis of mobility pattern based on users' familiarity. In 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings [28] Association for Computing Machinery, Inc. https://doi.org/10.1145/2837185.2837190

    Why people go to unfamiliar areas? Analysis of mobility pattern based on users' familiarity. / Han, Jungkyu; Yamana, Hayato.

    17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings. Association for Computing Machinery, Inc, 2015. 28.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Han, J & Yamana, H 2015, Why people go to unfamiliar areas? Analysis of mobility pattern based on users' familiarity. in 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings., 28, Association for Computing Machinery, Inc, 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015, Brussels, Belgium, 15/12/11. https://doi.org/10.1145/2837185.2837190
    Han J, Yamana H. Why people go to unfamiliar areas? Analysis of mobility pattern based on users' familiarity. In 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings. Association for Computing Machinery, Inc. 2015. 28 https://doi.org/10.1145/2837185.2837190
    Han, Jungkyu ; Yamana, Hayato. / Why people go to unfamiliar areas? Analysis of mobility pattern based on users' familiarity. 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings. Association for Computing Machinery, Inc, 2015.
    @inproceedings{251aefa8805a42d28185374c3dbff3fe,
    title = "Why people go to unfamiliar areas?: Analysis of mobility pattern based on users' familiarity",
    abstract = "Human mobility analysis with Location-Based Social Network (LBSN) data is the basis of personalized point-of-interest (POI) recommendations or location-aware advertisements. In addition to personal preference and spatiotemporal factors such as time and distance, personal context has a strong influence on mobility. An individual's familiarity with an area is an interesting context because it can bias the influence of certain factors. For example, the mobility patterns of two persons who have similar preferences are different when their familiarity with the area is different, even in the same area. In this paper, we analyze familiarity's effect on mobility patterns by using over 1.4 million check-ins gathered from Foursquare. The analysis indicates that there is a skewness of the visit time and visited venue distribution in unfamiliar areas. For instance, people go to unfamiliar areas on weekends; and venues for cultural experiences, such as museums, strongly contribute to the motivation of visit.",
    keywords = "Familiarity, LBSN, Mobility, POI",
    author = "Jungkyu Han and Hayato Yamana",
    year = "2015",
    month = "12",
    day = "11",
    doi = "10.1145/2837185.2837190",
    language = "English",
    isbn = "9781450334914",
    booktitle = "17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings",
    publisher = "Association for Computing Machinery, Inc",

    }

    TY - GEN

    T1 - Why people go to unfamiliar areas?

    T2 - Analysis of mobility pattern based on users' familiarity

    AU - Han, Jungkyu

    AU - Yamana, Hayato

    PY - 2015/12/11

    Y1 - 2015/12/11

    N2 - Human mobility analysis with Location-Based Social Network (LBSN) data is the basis of personalized point-of-interest (POI) recommendations or location-aware advertisements. In addition to personal preference and spatiotemporal factors such as time and distance, personal context has a strong influence on mobility. An individual's familiarity with an area is an interesting context because it can bias the influence of certain factors. For example, the mobility patterns of two persons who have similar preferences are different when their familiarity with the area is different, even in the same area. In this paper, we analyze familiarity's effect on mobility patterns by using over 1.4 million check-ins gathered from Foursquare. The analysis indicates that there is a skewness of the visit time and visited venue distribution in unfamiliar areas. For instance, people go to unfamiliar areas on weekends; and venues for cultural experiences, such as museums, strongly contribute to the motivation of visit.

    AB - Human mobility analysis with Location-Based Social Network (LBSN) data is the basis of personalized point-of-interest (POI) recommendations or location-aware advertisements. In addition to personal preference and spatiotemporal factors such as time and distance, personal context has a strong influence on mobility. An individual's familiarity with an area is an interesting context because it can bias the influence of certain factors. For example, the mobility patterns of two persons who have similar preferences are different when their familiarity with the area is different, even in the same area. In this paper, we analyze familiarity's effect on mobility patterns by using over 1.4 million check-ins gathered from Foursquare. The analysis indicates that there is a skewness of the visit time and visited venue distribution in unfamiliar areas. For instance, people go to unfamiliar areas on weekends; and venues for cultural experiences, such as museums, strongly contribute to the motivation of visit.

    KW - Familiarity

    KW - LBSN

    KW - Mobility

    KW - POI

    UR - http://www.scopus.com/inward/record.url?scp=84967262613&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84967262613&partnerID=8YFLogxK

    U2 - 10.1145/2837185.2837190

    DO - 10.1145/2837185.2837190

    M3 - Conference contribution

    SN - 9781450334914

    BT - 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings

    PB - Association for Computing Machinery, Inc

    ER -