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dc.contributor.authorPhithakkitnukoon, Santi
dc.contributor.authorHoranont, Teerayut
dc.contributor.authorLorenzo, Giusy Di
dc.contributor.authorShibasaki, Ryosuke
dc.contributor.authorRatti, Carlo
dc.date.accessioned2013-07-12T16:39:17Z
dc.date.available2013-07-12T16:39:17Z
dc.date.issued2010
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/1721.1/79592
dc.description.abstractBeing able to understand dynamics of human mobility is essential for urban planning and transportation management. Besides geographic space, in this paper, we characterize mobility in a profile-based space (activity-aware map) that describes most probable activity associated with a specific area of space. This, in turn, allows us to capture the individual daily activity pattern and analyze the correlations among different people’s work area’s profile. Based on a large mobile phone data of nearly one million records of the users in the central Metro-Boston area, we find a strong correlation in daily activity patterns within the group of people who share a common work area’s profile. In addition, within the group itself, the similarity in activity patterns decreases as their work places become apart.en_US
dc.description.sponsorshipAT & T Foundationen_US
dc.description.sponsorshipNational Science Foundation (U.S.)en_US
dc.description.sponsorshipMIT-Portugal Programen_US
dc.description.sponsorshipVolkswagen of America (Electronic Research Lab)en_US
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.relation.isversionofhttp://link.springer.com/chapter/10.1007%2F978-3-642-14715-9_3en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleActivity-Aware Map: Identifying human daily activity pattern using mobile phone data [book chapter]en_US
dc.typeArticleen_US
dc.identifier.citationPhithakkitnukoon, Santi, Horanont, Teerayut, Di Lorenzo, Giusy, Shibasaki, Ryosuke, and Ratti, Carlo. (2010) “Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data.” In Albert Ali Salah, Theo Gevers, Nicu Sebe, and Alessandro Vinciarelli (eds.). "Human Behavior Understanding" (pp. 14-25) Berlin: Springer-Verlag (Lecture Notes in Computer Science; 6219).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.contributor.departmentMassachusetts Institute of Technology. SENSEable City Laboratoryen_US
dc.contributor.mitauthorPhithakkitnukoon, Santien_US
dc.contributor.mitauthorHoranont, Teerayuten_US
dc.contributor.mitauthorLorenzo, Giusy Dien_US
dc.contributor.mitauthorRatti, Carloen_US
dc.relation.journalLecture Notes in Computer Scienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsPhithakkitnukoon, Santi; Horanont, Teerayut; Di Lorenzo, Giusy; Shibasaki, Ryosuke; Ratti, Carloen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-2026-5631
mit.licenseOPEN_ACCESS_POLICYen_US


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