ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY

The following article proposes a method to identify structures inside a road network with a flow-base community detection algorithm implemented on a graph representing the city road network.According to the results obtained in the cities of Mexico and Monterrey, the method effectively divides road i...

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Main Authors: Flores Romero, María Erándi, Morales Agiss, Irving Omar, Sosa Compean, Liliana Beatriz
Format: Online
Language:eng
Published: Universidad Autónoma de Nuevo León 2020
Online Access:https://contexto.uanl.mx/index.php/contexto/article/view/236
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spelling ojs-article-2362021-01-19T00:26:19Z ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY Flores Romero, María Erándi Morales Agiss, Irving Omar Sosa Compean, Liliana Beatriz road networks connectivity of communities space syntax The following article proposes a method to identify structures inside a road network with a flow-base community detection algorithm implemented on a graph representing the city road network.According to the results obtained in the cities of Mexico and Monterrey, the method effectively divides road infrastructure into several communities and preserves geographical neighboring. The frontiers of communities match administrative divisions along with other frontiers inside the city.The identification of communities could be useful to study the heterogeneity of street connectivity inside the city which could lead to improvements in urban mobility or even the application of public policies. Universidad Autónoma de Nuevo León 2020-04-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://contexto.uanl.mx/index.php/contexto/article/view/236 10.29105/contexto14.20-6 CONTEXTO. Revista de la Facultad de Arquitectura de la Universidad Autónoma de Nuevo León; Vol. 14 No. 20 (2020): Revista CONTEXTO CONTEXTO. Revista de la Facultad de Arquitectura de la Universidad Autónoma de Nuevo León; Vol. 14 Núm. 20 (2020): Revista CONTEXTO 2007-1639 eng https://contexto.uanl.mx/index.php/contexto/article/view/236/179 Derechos de autor 2020 CONTEXTO. Revista de la Facultad de Arquitectura de la Universidad Autónoma de Nuevo León
institution Universidad Autónoma de Nuevo León
collection OJS
language eng
format Online
author Flores Romero, María Erándi
Morales Agiss, Irving Omar
Sosa Compean, Liliana Beatriz
spellingShingle Flores Romero, María Erándi
Morales Agiss, Irving Omar
Sosa Compean, Liliana Beatriz
ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY
author_facet Flores Romero, María Erándi
Morales Agiss, Irving Omar
Sosa Compean, Liliana Beatriz
author_sort Flores Romero, María Erándi
title ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY
title_short ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY
title_full ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY
title_fullStr ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY
title_full_unstemmed ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY
title_sort analysis of the road network structures based on street connectivity
description The following article proposes a method to identify structures inside a road network with a flow-base community detection algorithm implemented on a graph representing the city road network.According to the results obtained in the cities of Mexico and Monterrey, the method effectively divides road infrastructure into several communities and preserves geographical neighboring. The frontiers of communities match administrative divisions along with other frontiers inside the city.The identification of communities could be useful to study the heterogeneity of street connectivity inside the city which could lead to improvements in urban mobility or even the application of public policies.
publisher Universidad Autónoma de Nuevo León
publishDate 2020
url https://contexto.uanl.mx/index.php/contexto/article/view/236
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AT moralesagissirvingomar analysisoftheroadnetworkstructuresbasedonstreetconnectivity
AT sosacompeanlilianabeatriz analysisoftheroadnetworkstructuresbasedonstreetconnectivity
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