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Uncovering structural diversity in commuting networks: global and local entropy
In this paper we revisit the concept of mobility entropy. Over time, the structure of spatial interactions among urban centres tends to become more complex and evolves from centralised models to more scattered origin and destination patterns. Entropy measures can be used to explore this complexity,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803921/ https://www.ncbi.nlm.nih.gov/pubmed/35102190 http://dx.doi.org/10.1038/s41598-022-05556-6 |
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author | Marin, Valentina Molinero, Carlos Arcaute, Elsa |
author_facet | Marin, Valentina Molinero, Carlos Arcaute, Elsa |
author_sort | Marin, Valentina |
collection | PubMed |
description | In this paper we revisit the concept of mobility entropy. Over time, the structure of spatial interactions among urban centres tends to become more complex and evolves from centralised models to more scattered origin and destination patterns. Entropy measures can be used to explore this complexity, and to quantify the degree of structural diversity of in- and out-flows at different scales and across the system. We use toy models of commuting networks to examine global and local measures, allowing the comparison to occur between different parts of the system. We show that entropy at the link and node level give different insights on the characteristics of the systems, enabling us to identify employment hubs and interdependencies between and within different parts of the system. We compute the measures in the commuting networks of the Northern Powerhouse and Greater South East regions in the UK to examine their relevance when studying real systems of cities. Finally we discuss how these can be used to inform planning and policy decisions oriented towards decentralisation and resilience. |
format | Online Article Text |
id | pubmed-8803921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88039212022-02-01 Uncovering structural diversity in commuting networks: global and local entropy Marin, Valentina Molinero, Carlos Arcaute, Elsa Sci Rep Article In this paper we revisit the concept of mobility entropy. Over time, the structure of spatial interactions among urban centres tends to become more complex and evolves from centralised models to more scattered origin and destination patterns. Entropy measures can be used to explore this complexity, and to quantify the degree of structural diversity of in- and out-flows at different scales and across the system. We use toy models of commuting networks to examine global and local measures, allowing the comparison to occur between different parts of the system. We show that entropy at the link and node level give different insights on the characteristics of the systems, enabling us to identify employment hubs and interdependencies between and within different parts of the system. We compute the measures in the commuting networks of the Northern Powerhouse and Greater South East regions in the UK to examine their relevance when studying real systems of cities. Finally we discuss how these can be used to inform planning and policy decisions oriented towards decentralisation and resilience. Nature Publishing Group UK 2022-01-31 /pmc/articles/PMC8803921/ /pubmed/35102190 http://dx.doi.org/10.1038/s41598-022-05556-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Marin, Valentina Molinero, Carlos Arcaute, Elsa Uncovering structural diversity in commuting networks: global and local entropy |
title | Uncovering structural diversity in commuting networks: global and local entropy |
title_full | Uncovering structural diversity in commuting networks: global and local entropy |
title_fullStr | Uncovering structural diversity in commuting networks: global and local entropy |
title_full_unstemmed | Uncovering structural diversity in commuting networks: global and local entropy |
title_short | Uncovering structural diversity in commuting networks: global and local entropy |
title_sort | uncovering structural diversity in commuting networks: global and local entropy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803921/ https://www.ncbi.nlm.nih.gov/pubmed/35102190 http://dx.doi.org/10.1038/s41598-022-05556-6 |
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