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Comparison of simulated fast and green routes for cyclists and pedestrians

Routes with a high share of greenery are attractive for cyclist and pedestrians. We analyze how strongly such green routes differ from the respective fast routes using the openrouteservice. Greenness of streets was estimated based on OpenStreetMap data in combination with Sentinel-II imagery, 3d las...

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Bibliographic Details
Main Authors: Ludwig, Christina (Author) , Lautenbach, Sven (Author) , Metz, Eva-Marie (Author) , Zipf, Alexander (Author)
Format: Article (Journal) Chapter/Article
Language:English
Published: Wadern Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2021-09-14
In: Leibniz international proceedings in informatics
Year: 2021, Pages: 1-15
ISSN:1868-8969
DOI:10.4230/LIPIcs.GIScience.2021.II.3
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.4230/LIPIcs.GIScience.2021.II.3
Verlag, kostenfrei, Volltext: https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2021.II.3
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Author Notes:Christina Ludwig, Sven Lautenbach, Eva-Marie Schömann, Alexander Zipf
Description
Summary:Routes with a high share of greenery are attractive for cyclist and pedestrians. We analyze how strongly such green routes differ from the respective fast routes using the openrouteservice. Greenness of streets was estimated based on OpenStreetMap data in combination with Sentinel-II imagery, 3d laser scan data and administrative information on trees on public ground. We assess the effect both at the level of the individual route and at the urban level for two German cities: Dresden and Heidelberg. For individual routes, we study how strongly green routes differ from the respective fast routes. In addition, we identify parts of the road network which represent important green corridors as well as unattractive parts which can or cannot be avoided at the cost of reasonable detours. In both cities, our results show the importance of urban green spaces for the provision of attractive green routes and provide new insights for urban planning by identifying unvegetated bottlenecks in the street network for which no green alternatives exist at this point.
Item Description:Gesehen am 31.07.2024
Physical Description:Online Resource
ISSN:1868-8969
DOI:10.4230/LIPIcs.GIScience.2021.II.3

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