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dc.contributor.authorCollins, T
dc.contributor.authorDi Clemente, R
dc.contributor.authorGutiérrez-Roig, M
dc.contributor.authorBotta, F
dc.date.accessioned2023-11-13T14:07:15Z
dc.date.issued2023-10-28
dc.date.updated2023-11-13T12:57:05Z
dc.description.abstractUrban vibrancy is the dynamic activity of humans in urban locations. It can vary with urban features and the opportunities for human interactions, but it might also differ according to the underlying social conditions of city inhabitants across and within social surroundings. Such heterogeneity in how different demographic groups may experience cities has the potential to cause gender seg regation because of differences in the preferences of inhabitants, their accessibility and oppor tunities, and large-scale mobility behaviours. However, traditional studies have failed to capture fully a high-frequency understanding of how urban vibrancy is linked to urban features, how this might differ for different genders, and how this might affect segregation in cities. Our results show that (1) there are differences between males and females in terms of urban vibrancy, (2) the differences relate to ‘Points of Interest’ as well as transportation networks, and (3) there are both positive and negative ‘spatial spillovers’ existing across each city. To do this, we use a quantitative approach using Call Detail Record data – taking advantage of the near-ubiquitous use of mobile phones – to gain high-frequency observations of spatial behaviours across Italy’s seven most prominent cities. We use a spatial model comparison approach of the direct and ‘spillover’ effects from urban features on male-female differences. Our results increase our understanding of inequality in cities and how we can make future cities fairer.en_GB
dc.identifier.citationPublished online 28 October 2023en_GB
dc.identifier.doihttps://doi.org/10.1177/23998083231209073
dc.identifier.urihttp://hdl.handle.net/10871/134509
dc.identifierORCID: 0000-0003-1791-7002 (Collins, Thomas)
dc.identifierORCID: 0000-0002-5681-4535 (Botta, Federico)
dc.identifierScopusID: 56890901600 (Botta, Federico)
dc.identifierResearcherID: I-3688-2019 (Botta, Federico)
dc.language.isoenen_GB
dc.publisherSAGE Publicationsen_GB
dc.relation.urlhttps://www.istat.it/it/archivio/222527en_GB
dc.rights© The Author(s) 2023. Open access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).en_GB
dc.subjecturban vibrancyen_GB
dc.subjecturban gender segregationen_GB
dc.subjectmobile phone dataen_GB
dc.subjectspatial data scienceen_GB
dc.titleSpatiotemporal gender differences in urban vibrancyen_GB
dc.typeArticleen_GB
dc.date.available2023-11-13T14:07:15Z
dc.identifier.issn2399-8083
dc.descriptionThis is the final version. Available on open access from SAGE Publications via the DOI in this recorden_GB
dc.descriptionData availability statement: The mobile phone data used in this manuscript was made openly available to researchers as part of Telecom Italia Big Data Challenge 2015. The full data set is no longer available via Telecom Italia, but aggregate data to reproduce our results can be made available from the authors upon reasonable request. OpenStreetMap data is openly available at www.openstreetmap.org. The Italian census data used here is available at www.istat.it/it/archivio/222527en_GB
dc.identifier.eissn2399-8091
dc.identifier.journalEnvironment and Planning B: Urban Analytics and City Scienceen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-10-28
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-11-13T14:02:53Z
refterms.versionFCDVoR
refterms.dateFOA2023-11-13T14:07:21Z
refterms.panelBen_GB
refterms.dateFirstOnline2023-10-28


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© The Author(s) 2023. Open access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. Open access. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).