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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598139/ https://www.ncbi.nlm.nih.gov/pubmed/37875504 http://dx.doi.org/10.1038/s41598-023-45236-7 |
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author | Maia, Gabriel Ponte, Caio Caminha, Carlos Furtado, Lara S. Melo, Hygor P. M. Furtado, Vasco |
author_facet | Maia, Gabriel Ponte, Caio Caminha, Carlos Furtado, Lara S. Melo, Hygor P. M. Furtado, Vasco |
author_sort | Maia, Gabriel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10598139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105981392023-10-26 A global empirical study on how street networks facilitate driving longer distances Maia, Gabriel Ponte, Caio Caminha, Carlos Furtado, Lara S. Melo, Hygor P. M. Furtado, Vasco Sci Rep Article 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. Nature Publishing Group UK 2023-10-24 /pmc/articles/PMC10598139/ /pubmed/37875504 http://dx.doi.org/10.1038/s41598-023-45236-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Maia, Gabriel Ponte, Caio Caminha, Carlos Furtado, Lara S. Melo, Hygor P. M. Furtado, Vasco A global empirical study on how street networks facilitate driving longer distances |
title | A global empirical study on how street networks facilitate driving longer distances |
title_full | A global empirical study on how street networks facilitate driving longer distances |
title_fullStr | A global empirical study on how street networks facilitate driving longer distances |
title_full_unstemmed | A global empirical study on how street networks facilitate driving longer distances |
title_short | A global empirical study on how street networks facilitate driving longer distances |
title_sort | global empirical study on how street networks facilitate driving longer distances |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598139/ https://www.ncbi.nlm.nih.gov/pubmed/37875504 http://dx.doi.org/10.1038/s41598-023-45236-7 |
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