@inproceedings{1713611, author = {Beil, Christof and Ilic, Mario and Keler, Andreas and Kolbe, Thomas H.}, title = {Automatically evaluating the service quality of bicycle paths based on semantic 3D city models}, booktitle = {Lecture Notes in Geoinformation and Cartography - Recent Advances in 3D Geoinformation Science - Proceedings of the 18th 3D GeoInfo Conference}, year = {2023}, month = {Sep}, organization = {Technical University of Munich, Chair of Geoinformatics}, doi = {10.1007/978-3-031-43699-4_5}, language = {en}, abstract = {The growing demand for sustainable mobility has led to an increased focus on the development and improvement of bicycle infrastructure, especially within cities. However, evaluating the quality of existing or planned bicycle paths is a complex task mostly done manually. This paper presents a novel approach for automatical-ly evaluating the service quality of bicycle paths using parameters derived from semantic 3D city and streetspace models compliant with the international OGC standard CityGML version 3.0. These models contain detailed 3D information with lane-level accuracy, including precise outlines of individual surfaces. This allows for accurate and high-resolution evaluations of changing bicycle path widths and slopes, as well as information on adjacent surfaces and local disturb-ances such as bus stops. Additionally, estimated, measured or simulated bicycle traffic volumes are considered. Based on these parameters a method for calculat-ing the Bicycle Levels of Service (BLOS) described in a national technical regula-tion is adapted and implemented for a microscopic analysis. Results of this analy-sis are then transferred back to the original semantic 3D city objects, allowing for the attributive description of BLOS values for bicycle paths. In addition, results are visually represented by coloring corresponding bicycle path segments accord-ing to evaluation results and integrating the colored objects within a web-based Cesium visualization of a semantic 3D city model.}, keywords = { GISPro_CityGML; GISPro_NYC; GISPro_3DCityDB; GISTop_CityModeling; LOCenter; LOCTop_Data_generation_and_object_reconstruction; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model}, note = {accepted}, url = {https://link.springer.com/chapter/10.1007/978-3-031-43699-4_5}, }