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Constructing a simplified interurban road network based on crowdsourced geodata.
Prieto-Curiel, Rafael; Heo, Inhoi; Schumann, Abel; Heinrigs, Philipp.
  • Prieto-Curiel R; Complexity Science Hub Vienna, Josefstädter Str. 39, Vienna 1080, Austria.
  • Heo I; OECD Sahel and West Africa Club Secretariat, 2 rue André-Pascal, Paris 75775 CEDEX 16, France.
  • Schumann A; OECD Sahel and West Africa Club Secretariat, 2 rue André-Pascal, Paris 75775 CEDEX 16, France.
  • Heinrigs P; OECD Sahel and West Africa Club Secretariat, 2 rue André-Pascal, Paris 75775 CEDEX 16, France.
MethodsX ; 9: 101845, 2022.
Article en En | MEDLINE | ID: mdl-36117676
ABSTRACT
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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