Analysing macroscopic traffic rhythms and city size in affluent cities: insights from a global panel data of 25 cities

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física de Partículas
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Xeografía
dc.contributor.authorSaavedra López, Martín
dc.contributor.authorPérez Muñuzuri, Alberto
dc.contributor.authorMenéndez, Mónica
dc.contributor.authorBalsa Barreiro, José
dc.date.accessioned2026-06-05T06:58:53Z
dc.date.available2026-06-05T06:58:53Z
dc.date.issued2024
dc.description.abstractThe world is undergoing a rapid process of urbanization. Currently, it is estimated that over 55% of the global population resides in urban areas, a figure projected to reach nearly 70% by 2050. This trend is accompanied by a spatial reorganization of human activities on a global scale, bringing about significant changes in mobility patterns and urban traffic management capabilities. Consequently, it is imperative to evaluate, on a broad scale, how city size influences traffic capacity. This study aims to analyse on-road traffic patterns using a diverse dataset comprising cities of varying population sizes, geographical extents and global locations. Specifically, we conduct an analysis encompassing 25 cities primarily situated in several European countries (France, Italy, Germany, Spain, Switzerland, and the United Kingdom), as well as in North America (Canada) and East Asia (Japan and Taiwan). Our findings shed light on how physical aspects related to urban form influence mobility patterns, offering insights for the implementation of more effective and sustainable traffic management policies.
dc.description.peerreviewedSI
dc.description.sponsorshipM. Menendez and J. Balsa-Barreiro acknowledge the support of the NYUAD Center for Interacting Urban Networks (CITIES), funded by Tamkeen under the NYUAD Research Institute Award CG001. A. P. Muñuzuri and M. Saavedra acknowledge financial support from the Xunta de Galicia (Grant No. 2021-PG036-1) and the Spanish Ministerio de Ciencia e Innovación (Grant No. PID2022138322OB-100), both of them co-funded by ERDF (EU).
dc.identifier.citationMartín Saavedra, Alberto P. Muñuzuri, Monica Menendez, Jose Balsa-Barreiro; Analysing macroscopic traffic rhythms and city size in affluent cities: insights from a global panel data of 25 cities. Philos Trans A Math Phys Eng Sci 16 December 2024; 382 (2285): 20240102. https://doi.org/10.1098/rsta.2024.0102
dc.identifier.doi10.1098/RSTA.2024.0102
dc.identifier.essn1471-2962
dc.identifier.issn1364-503X
dc.identifier.urihttps://hdl.handle.net/10347/47500
dc.issue.number2285
dc.journal.titlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences
dc.language.isoeng
dc.publisherThe Royal Society
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-138322OB-I00/ES/MICROFLUIDIC DEVICES IN FLEXIBLE AND ELASTIC MATERIALS FOR FLOW-GUIDED THERAPY
dc.relation.publisherversionhttps://doi.org/10.1098/RSTA.2024.0102
dc.rights© 2024 The Author(s). 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
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCommuting patterns
dc.subjectMacroscopic traffic flows
dc.subjectMobility behaviour
dc.subjectSocial physics
dc.subjectTraffic rhythms
dc.subjectUrban sprawl
dc.titleAnalysing macroscopic traffic rhythms and city size in affluent cities: insights from a global panel data of 25 cities
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number382
dspace.entity.typePublication
relation.isAuthorOfPublicationac82dae1-bab8-4f3d-a37c-d13662246534
relation.isAuthorOfPublication4f00173f-bdb1-4cdf-a6b8-023255f4085c
relation.isAuthorOfPublication.latestForDiscoveryac82dae1-bab8-4f3d-a37c-d13662246534

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