Exploring night and day socio-spatial segregation based on mobile phone data: The case of Medellin (Colombia)

Simple item page
dc.contributor.authorMoya Gómez, Borja
dc.contributor.authorStępniak, Marcin
dc.contributor.authorGarcía Palomares, Juan Carlos
dc.contributor.authorFrías Martínez, Enrique
dc.contributor.authorGutiérrez Puebla, Javier
dc.date.accessioned2023-06-17T09:19:45Z
dc.date.available2023-06-17T09:19:45Z
dc.date.issued2021-06-14
dc.descriptionCRUE-CSIC (Acuerdos Transformativos 2021)
dc.description.abstractSocial segregation research has a long tradition in urban studies. Usually, these studies focus on the residential dimension, using official registries (e.g., census data), which show population distribution at night. Nevertheless, these studies disregard the fact that the population in cities is highly mobile, and its spatial distribution dramatically changes between night and day. The emergence of new data sources (Big Data) creates perfect conditions to consider segregation as a process, by providing the opportunity to dynamically analyse temporal changes in social segregation. This study uses mobile phone data to analyse changes in social segregation between night and day. Our case study is Medellin (Colombia), a highly socially-segregated, South American city, where social integration policies are being developed, targeting the population in the most disadvantaged neighbourhoods. We use several complementary indicators of social segregation, supplementing them with mobility indicators that help explain changes in spatial segregation between night and day. The main conclusion is that daily mobility reduces the concentration of a particular group within neighbourhoods and increases the degree of social mixing (exposure) in local settings. This greater social exposure softens local contrasts (outliers) and increases the extension of spatial clusters (positive spatial autocorrelation), so general clustering trends emerge more clearly. The study also makes clear that increased exposure during the day mainly occurs due to the mobility of the low-income population, who are the most likely to leave their neighbourhood during the day and who travel the greatest distances to the most diverse set of destinations.
dc.description.departmentDepto. de Geografía
dc.description.facultyFac. de Geografía e Historia
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)/FEDER
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/69468
dc.identifier.doi10.1016/j.compenvurbsys.2021.101675
dc.identifier.issn0198-9715
dc.identifier.officialurlhttps://doi.org/10.1016/j.compenvurbsys.2021.101675
dc.identifier.urihttps://hdl.handle.net/20.500.14352/8607
dc.journal.titleComputers, Environment and Urban Systems
dc.language.isoeng
dc.page.initial101675
dc.publisherElsevier
dc.relation.projectIDDynMobility (RTI2018-098402-B-I00)
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.keywordSocial segregation
dc.subject.keywordMobile phone data
dc.subject.keywordSpatial statistics
dc.subject.keywordMedellin (Colombia)
dc.subject.ucmSociología urbana
dc.subject.ucmGeografía humana
dc.subject.unesco6311.06 Sociología Urbana
dc.subject.unesco5403 Geografía Humana
dc.titleExploring night and day socio-spatial segregation based on mobile phone data: The case of Medellin (Colombia)
dc.typejournal article
dc.volume.number89
dspace.entity.typePublication
relation.isAuthorOfPublication91356264-4e7c-49e2-90b0-070d2d420902
relation.isAuthorOfPublicationb25b5524-305e-4aa0-a30e-5b15a398806c
relation.isAuthorOfPublication0b4c21b2-a5c3-4dfb-8088-c1ba13c4dd17
relation.isAuthorOfPublication.latestForDiscovery91356264-4e7c-49e2-90b0-070d2d420902
Download
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
1-s2.0-S019897152100082X-main.pdf
Size:
5.19 MB
Format:
Adobe Portable Document Format
downoload Download
Collections
Artículos