IT IS REALLY HOT! Again!
So it seems, we need to repeat an updated version of a Blogpost from exactly one year ago:
You are looking for a more shady pedestrian route through the urban jungle? You might then prefer some routes that go through public green spaces with shady trees and bushes. Thank goodness we are working on such green and also shady routing together with several partners in the mFund project meinGrün. GIScienceHD/HeiGIT have already some multi-criteria routing prototypes related to e.g. green routing preferring vegetated areas using OpenStreetMap data and other sources, but also on routes avoiding noise and preferring social activities.
Also the dedicated “shady route” feature will soon be released for Heidelberg and Dresden in the meinGrün App as an additional routing criteria based on openrouteservice. It considers shade provided by trees and also high buildings.
Hope you enjoy the detours. Stay cool!
Novack, T.; Wang, Z.; Zipf, A. (2018): A System for Generating Customized Pleasant Pedestrian Routes Based on OpenStreetMap Data. Sensors 2018, 18, 3794.
Related:
Ludwig, Christina ; Zipf, Alexander (2019): Exploring regional differences in the representation of urban green spaces in OpenStreetMap. Proceedings of the GeoCultGIS – Geographic and Cultural Aspects of Geo-Information: Issues and Solutions, Limassol (Cyprus)
H. Tost, M. Reichert, U. Braun, I. Reinhard, R. Peters, S. Lautenbach, A. Hoell, E. Schwarz, U. Ebner-Priemer, A. Zipf, and A. Meyer-Lindenberg (2019): Neural correlates of individual differences in affective benefits of real-life urban green space exposure. Nature Neuroscience. https://doi.org/10.1038/s41593-019-0451-y
Z. Wang, T. Novack, Y. Yan and A. Zipf, “Quiet Route Planning for Pedestrians in Traffic Noise Polluted Environments,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.3004660.