A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data
dc.contributor.author | Reza Hosseini | |
dc.contributor.author | Daoqin Tong | |
dc.contributor.author | Samsung Lim | |
dc.contributor.author | Qian Chayn Sun | |
dc.contributor.author | Gunho Sohn | |
dc.contributor.author | Gyözö Gidófalvi | |
dc.contributor.author | Abbas Alimohammadi | |
dc.contributor.author | Seyedehsan Seyedabrishami | |
dc.date.accessioned | 2025-05-14T14:45:20Z | |
dc.date.available | 2025-05-14T14:45:20Z | |
dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/26835 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject.ddc | 550 | |
dc.title | A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data | |
dc.type | ||
dspace.entity.type | Distribution | |
relation.isDatasetOfDistribution | 9c8201ac-8617-4e62-bab3-c4a4b71cf013 | |
relation.isDatasetOfDistribution.latestForDiscovery | 9c8201ac-8617-4e62-bab3-c4a4b71cf013 |
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