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Spatiotemporal gender differences in urban vibrancy

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posted on 2025-08-02, 10:58 authored by T Collins, R Di Clemente, M Gutiérrez-Roig, F Botta
Urban 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.

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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).

Notes

This is the final version. Available on open access from SAGE Publications via the DOI in this record Data 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/222527

Journal

Environment and Planning B: Urban Analytics and City Science

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SAGE Publications

Version

  • Version of Record

Language

en

FCD date

2023-11-13T14:02:53Z

FOA date

2023-11-13T14:07:21Z

Citation

Published online 28 October 2023

Department

  • Computer Science

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