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Analysing macroscopic traffic rhythms and city size in affluent cities: insights from a global panel data of 25 cities
File(s)
Author(s)
Saavedra, Martín
Muñuzuri, Alberto P
Menendez, Monica
Balsa-Barreiro, Jose
Type
Journal Article
Abstract
The 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.

This article is part of the theme issue ‘Co-creating the future: participatory cities and digital governance’.
Date Issued
2024-12-16
Date Acceptance
2024-08-26
Citation
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2024, 382 (2285)
URI
URL
DOI
ISSN
1364-503X
Publisher
The Royal Society
Journal / Book Title
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume
382
Issue
2285
Copyright Statement
© 2024 The Author(s). Published by the Royal Society under the terms of theCreative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author andsource are credited.
License URL
Publication Status
Published
Article Number
20240102
Date Publish Online
2024-11-13