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Comparison of Simulated Fast and Green Routes for Cyclists and Pedestrians

Authors Christina Ludwig , Sven Lautenbach , Eva-Marie Schömann, Alexander Zipf

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Author Details

Christina Ludwig
  • GIScience Research Group, Institute of Geography, Heidelberg University, Germany
Sven Lautenbach
  • Heidelberg Institute for Geoinformation Technology (HeiGIT) gGmbH at Heidelberg University, Germany
Eva-Marie Schömann
  • GIScience Research Group, Institute of Geography, Heidelberg University, Germany
Alexander Zipf
  • GIScience Research Group, Institute of Geography, Heidelberg University, Germany
  • HeiGIT gGmbH at Heidelberg University, Germany

Funding

This research was funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI) in the context of the research initiative mFUND (grant number 19F2073A).
  • Lautenbach, Sven: Acknowledges funding by the Klaus-Tschira Stiftung.

Acknowledgements

We would like to thank several research assistants involved in the project, namely Anna Lausen, Pascal Wolf as well as Robert Klar and Max Girmann who wrote their theses in the context of healthy routing. We acknowledge support by the HeiGIT openrouteservice team, especially by Adam Rousell and Andrzej Oleś as well as by the HeiGIT big spatial data team. Furthermore, we would like to thank the meinGrün project team (http://meingruen.ioer.info/) for fruitful discussions and the city administration of Dresden and Heidelberg for their support.

Cite AsGet BibTex

Christina Ludwig, Sven Lautenbach, Eva-Marie Schömann, and Alexander Zipf. Comparison of Simulated Fast and Green Routes for Cyclists and Pedestrians. In 11th International Conference on Geographic Information Science (GIScience 2021) - Part II. Leibniz International Proceedings in Informatics (LIPIcs), Volume 208, pp. 3:1-3:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.GIScience.2021.II.3

Abstract

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.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Simulation evaluation
  • General and reference → Empirical studies
  • Applied computing → Cartography
Keywords
  • Routing
  • OpenStreetMap
  • route choice
  • urban vegetation
  • sustainable mobility

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