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The time geography of segregation during working hours

While segregation is usually evaluated at the residential level, the recent influx of large streams of data describing urbanites’ movement across the city allows to generate detailed descriptions of spatio-temporal segregation patterns across the activity space of individuals. For instance, segregat...

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Detalles Bibliográficos
Autores principales: Dannemann, Teodoro, Sotomayor-Gómez, Boris, Samaniego, Horacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6227938/
https://www.ncbi.nlm.nih.gov/pubmed/30473825
http://dx.doi.org/10.1098/rsos.180749
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author Dannemann, Teodoro
Sotomayor-Gómez, Boris
Samaniego, Horacio
author_facet Dannemann, Teodoro
Sotomayor-Gómez, Boris
Samaniego, Horacio
author_sort Dannemann, Teodoro
collection PubMed
description While segregation is usually evaluated at the residential level, the recent influx of large streams of data describing urbanites’ movement across the city allows to generate detailed descriptions of spatio-temporal segregation patterns across the activity space of individuals. For instance, segregation across the activity space is usually thought to be lower compared with residential segregation given the importance of social complementarity, among other factors, shaping the economies of cities. However, these new dynamic approaches to segregation convey important methodological challenges. This paper proposes a methodological framework to investigate segregation during working hours. Our approach combines three well-known mathematical tools: community detection algorithms, segregation metrics and random walk analysis. Using Santiago (Chile) as our model system, we build a detailed home–work commuting network from a large dataset of mobile phone pings and spatially partition the city into several communities. We then evaluate the probability that two persons at their work location will come from the same community. Finally, a randomization analysis of commuting distances and angles corroborates the strong segregation description for Santiago provided by the sociological literature. While our findings highlights the benefit of developing new approaches to understand dynamic processes in the urban environment, unveiling counterintuitive patterns such as segregation at our workplace also shows a specific example in which the exposure dimension of segregation is successfully studied using the growingly available streams of highly detailed anonymized mobile phone registries.
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spelling pubmed-62279382018-11-23 The time geography of segregation during working hours Dannemann, Teodoro Sotomayor-Gómez, Boris Samaniego, Horacio R Soc Open Sci Computer Science While segregation is usually evaluated at the residential level, the recent influx of large streams of data describing urbanites’ movement across the city allows to generate detailed descriptions of spatio-temporal segregation patterns across the activity space of individuals. For instance, segregation across the activity space is usually thought to be lower compared with residential segregation given the importance of social complementarity, among other factors, shaping the economies of cities. However, these new dynamic approaches to segregation convey important methodological challenges. This paper proposes a methodological framework to investigate segregation during working hours. Our approach combines three well-known mathematical tools: community detection algorithms, segregation metrics and random walk analysis. Using Santiago (Chile) as our model system, we build a detailed home–work commuting network from a large dataset of mobile phone pings and spatially partition the city into several communities. We then evaluate the probability that two persons at their work location will come from the same community. Finally, a randomization analysis of commuting distances and angles corroborates the strong segregation description for Santiago provided by the sociological literature. While our findings highlights the benefit of developing new approaches to understand dynamic processes in the urban environment, unveiling counterintuitive patterns such as segregation at our workplace also shows a specific example in which the exposure dimension of segregation is successfully studied using the growingly available streams of highly detailed anonymized mobile phone registries. The Royal Society 2018-10-03 /pmc/articles/PMC6227938/ /pubmed/30473825 http://dx.doi.org/10.1098/rsos.180749 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Computer Science
Dannemann, Teodoro
Sotomayor-Gómez, Boris
Samaniego, Horacio
The time geography of segregation during working hours
title The time geography of segregation during working hours
title_full The time geography of segregation during working hours
title_fullStr The time geography of segregation during working hours
title_full_unstemmed The time geography of segregation during working hours
title_short The time geography of segregation during working hours
title_sort time geography of segregation during working hours
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6227938/
https://www.ncbi.nlm.nih.gov/pubmed/30473825
http://dx.doi.org/10.1098/rsos.180749
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