A global empirical study on how street networks facilitate driving longer distances

We simulated over 200 cities worldwide to investigate how the street network affects vehicle routes. We demonstrate that there is a ubiquitous super-linear relationship between time and distance when optimal route are chosen. More precisely, the average speed will be higher for longer trips when com...

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Bibliographic Details
Published in:Scientific reports 2023-10, Vol.13 (1), p.18154-18154, Article 18154
Main Authors: Maia, Gabriel, Ponte, Caio, Caminha, Carlos, Furtado, Lara S., Melo, Hygor P. M., Furtado, Vasco
Format: Article
Language:English
Subjects:
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639/766/259
Driving ability
Humanities and Social Sciences
Infrastructure
Mobility
multidisciplinary
Science
Science (multidisciplinary)
Simulation
Smart cities
Sustainable development
Traffic flow
Transportation planning
Travel
Urbanization
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Summary:We simulated over 200 cities worldwide to investigate how the street network affects vehicle routes. We demonstrate that there is a ubiquitous super-linear relationship between time and distance when optimal route are chosen. More precisely, the average speed will be higher for longer trips when compared to shorter trips, showing that the street network makes driving further faster. We attribute this phenomenon to the spatial arrangement of extensive street segments that eliminate deceleration points. These results underscore the importance for cities to consider the distribution of deceleration-free streets while mitigating any negative impact on sustainability. To ensure efficient transportation planning and engineering, innovative approaches are necessary to facilitate the flow of goods and services while adhering to sustainable mobility principles.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-45236-7