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Constructing a simplified interurban road network based on crowdsourced geodata

The road network that connects cities with the existing road infrastructure of a country is a valuable tool for analyzing its transport routes, connectivity, and urban patterns. Yet, it is challenging to construct, given the data available. • We present a method to construct a simplified and connect...

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Detalles Bibliográficos
Autores principales: Prieto-Curiel, Rafael, Heo, Inhoi, Schumann, Abel, Heinrigs, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478433/
https://www.ncbi.nlm.nih.gov/pubmed/36117676
http://dx.doi.org/10.1016/j.mex.2022.101845
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author Prieto-Curiel, Rafael
Heo, Inhoi
Schumann, Abel
Heinrigs, Philipp
author_facet Prieto-Curiel, Rafael
Heo, Inhoi
Schumann, Abel
Heinrigs, Philipp
author_sort Prieto-Curiel, Rafael
collection PubMed
description The road network that connects cities with the existing road infrastructure of a country is a valuable tool for analyzing its transport routes, connectivity, and urban patterns. Yet, it is challenging to construct, given the data available. • We present a method to construct a simplified and connected urban network. Some network nodes are cities, and others are “transport nodes” representing road crossings or other types of infrastructure. • The result is a simplified connected network of all cities and the existing road infrastructure that maintains road distances and available routes. • The procedure reduces millions of spatial points that sometimes are disconnected polygonal lines or patches into a connected network with only a few edges and nodes.
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spelling pubmed-94784332022-09-17 Constructing a simplified interurban road network based on crowdsourced geodata Prieto-Curiel, Rafael Heo, Inhoi Schumann, Abel Heinrigs, Philipp MethodsX Method Article The road network that connects cities with the existing road infrastructure of a country is a valuable tool for analyzing its transport routes, connectivity, and urban patterns. Yet, it is challenging to construct, given the data available. • We present a method to construct a simplified and connected urban network. Some network nodes are cities, and others are “transport nodes” representing road crossings or other types of infrastructure. • The result is a simplified connected network of all cities and the existing road infrastructure that maintains road distances and available routes. • The procedure reduces millions of spatial points that sometimes are disconnected polygonal lines or patches into a connected network with only a few edges and nodes. Elsevier 2022-09-06 /pmc/articles/PMC9478433/ /pubmed/36117676 http://dx.doi.org/10.1016/j.mex.2022.101845 Text en © 2022 The Author(s). Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Prieto-Curiel, Rafael
Heo, Inhoi
Schumann, Abel
Heinrigs, Philipp
Constructing a simplified interurban road network based on crowdsourced geodata
title Constructing a simplified interurban road network based on crowdsourced geodata
title_full Constructing a simplified interurban road network based on crowdsourced geodata
title_fullStr Constructing a simplified interurban road network based on crowdsourced geodata
title_full_unstemmed Constructing a simplified interurban road network based on crowdsourced geodata
title_short Constructing a simplified interurban road network based on crowdsourced geodata
title_sort constructing a simplified interurban road network based on crowdsourced geodata
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478433/
https://www.ncbi.nlm.nih.gov/pubmed/36117676
http://dx.doi.org/10.1016/j.mex.2022.101845
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