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dc.contributor.authorGraells Garrido, Eduardo
dc.contributor.authorMeta, Irene
dc.contributor.authorSerra Burriel, Feliu
dc.contributor.authorReyes Valenzuela, Patricio Alejandro
dc.contributor.authorCucchietti, Fernando
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Estadística i Investigació Operativa
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2021-02-02T14:19:37Z
dc.date.available2021-02-02T14:19:37Z
dc.date.issued2020
dc.identifier.citationGraells, E. [et al.]. Measuring spatial subdivisions in urban mobility with mobile phone data. A: International World Wide Web Conference. "The Web Conference 2020, companion of The World Wide Web Conference, WWW 2020: April 20–24, 2020, Taipei, Taiwan". New York: Association for Computing Machinery (ACM), 2020, p. 485-494. ISBN 978-1-4503-7024-0. DOI 10.1145/3366424.3384370.
dc.identifier.isbn978-1-4503-7024-0
dc.identifier.urihttp://hdl.handle.net/2117/336719
dc.description.abstractUrban population grows constantly. By 2050 two thirds of the world population will reside in urban areas. This growth is faster and more complex than the ability of cities to measure and plan for their sustainability. To understand what makes a city inclusive for all, we define a methodology to identify and characterize spatial subdivisions: areas with over- and under-representation of specific population groups, named hot and cold spots respectively. Using aggregated mobile phone data, we apply this methodology to the city of Barcelona to assess the mobility of three groups of people: women, elders, and tourists. We find that, within the three groups, cold spots have a lower diversity of amenities and services than hot spots. Also, cold spots of women and tourists tend to have lower population income. These insights apply to the floating population of Barcelona, thus augmenting the scope of how inclusiveness can be analyzed in the city.
dc.description.sponsorshipThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 857191 (IoTwins project). E. Graells-Garrido was partially funded by CONICYT Fondecyt de Iniciación project #11180913.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherAssociation for Computing Machinery (ACM)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subject.lcshMobile computing
dc.subject.lcshSustainable urban development
dc.subject.otherUrban mobility
dc.subject.otherMobile phone data
dc.subject.otherSpatial analysis
dc.titleMeasuring spatial subdivisions in urban mobility with mobile phone data
dc.typeConference report
dc.subject.lemacInformàtica mòbil
dc.subject.lemacDesenvolupament urbà sostenible
dc.identifier.doi10.1145/3366424.3384370
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://dl.acm.org/doi/10.1145/3366424.3384370
dc.rights.accessOpen Access
local.identifier.drac30452350
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/857191/EU/Distributed Digital Twins for industrial SMEs: a big-data platform/IoTwins
local.citation.authorGraells, E.; Meta, I.; Serra, F.; Reyes, P.; Cucchietti, F.
local.citation.contributorInternational World Wide Web Conference
local.citation.pubplaceNew York
local.citation.publicationNameThe Web Conference 2020, companion of The World Wide Web Conference, WWW 2020: April 20–24, 2020, Taipei, Taiwan
local.citation.startingPage485
local.citation.endingPage494


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 4.0 Generic