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oai:researchdata.tuwien.ac.at:he1br-dhh80 2026-05-26T18:04:04Z community-mobres openaire_data

4.3 TUW.TUDATA 10.48436/he1br-dhh80 oai:researchdata.tuwien.ac.at:he1br-dhh80 Förster, Florian Florian Förster 0009-0006-2614-6325 TU Wien TU Wien 2026 Civil engineering diploma thesis tramway curviness average speed OpenStreetMap stop spacing urban morphology Lagler, Markus Markus Lagler 0000-0002-8318-0283 TU Wien Brezina, Tadej Tadej Brezina 0000-0003-4865-9472 TU Wien Emberger, Günter Günter Emberger 0000-0002-4703-8327 TU Wien Lagler, Markus Markus Lagler 0000-0002-8318-0283 TU Wien 2026-04-16 2026-04-16 2026-05-26 deu 10.34726/hss.2024.110716 10.1177/09544097221106851 10.1111/gean.70009 10.34726/hss.2026.120450 10.48436/ft8hp-v8b79 https://researchdata.tuwien.ac.at/communities/mobres/ 1.0.0 Creative Commons Attribution Share Alike 4.0 International MIT License Supplementary Material for diploma thesis:Parameter analysis on tramway networks with OpenStreetMap This dataset contains the supplementary material as described in the diploma thesis: Parameter analysis on tramway networks with OpenStreetMap. Some of the raw data is not included, since this data can be easily redownloaded from OSM. The timetable data is not included to avoid any legal difficulties concerning different licences. However the sources are documented in the thesis, so a redownload should be possible. File overview building_data.json: the final dataset. Contains all the needed information as described in the diploma thesis. Licensed under CC BY-SA 4.0. data.zip (licensed under CC BY-SA 4.0): a folder for each city buildings-Folder: used to store information on buildings derived from OpenStreetMap (OSM) orientations-Folder: used to store information for the orientation-analysis in graphml-Format osm-Folder: containing the processed results from the Analysis on OSM results-folder: contains the pictures for each city as shown in Appendix A of the thesis timetable-Folder: used to store the GTFS data for the given city results: containing the processed results of the timetable analysis  station-matching.csv: Connects stations from timetables to stations from OSM cities.csv: contains all the cities to analyze and some initial data orientations.csv: contains all information for calculating the Orientation-Order-Index code.zip (licensed under MIT) - written in Python 3.12: curvy: code to download and process OSM data diplomarbeit: code to process timetable data and consolidate all information main.py: script to run the whole package Auswertung.ipynb: Notebook to analyze data requirements.txt: contains needed Python packages pyproject.toml: contains infomation for the environment. README.md: Readme file with information on how to run the code. building_data.json The File contains the necessary information for every relation as described in the thesis. The file contains the following data fields: Name of the field Unit Description line_name   Name of the Relation in OSM (OSM tag: name) line_number   Number of the Relation in OSM (OSM tag: ref) from   Starting Point of the OSM relation (OSM tag: from) to   Destination of the OSM relation (OSM tag: to) distance km Length of the OSM relation as calculated by the Code curvature gon/km Curviness of the OSM relation height_up m/km or ‰ Average ascend of OSM relation height_down m/km or ‰ Average descend of OSM relation gauge mm Gauge of tracks on OSM relation (None if multiple gauges given in OSM,OSM tag: gauge) gtfs_first_stop_name   Name of the first stop in the GTFS trip gtfs_last_stop_name   Name of the last stop in the GTFS trip route_short_name   Short Name of GTFS line (usually the number of the Line) trip_speed km/h Average trip speed calculated from GTFS data first_stop_name   Name of the first stop after merging OSM and timetable data last_stop_name   Name of the last stop after merging OSM and timetable data number_trips   Number of observed trips in GTFS data avg_dist m Average Distance between stations from GTFS data avg_time s Average time between stops at stations from GTFS data city   City name Country   Human-readable country name ISO3166   ISO 3166-alpha 2 Code of the country Stadt   Human-readable city name machine_readable   Machine-readable city name (used in folder names) OSM-Name   Name to query OSM (via the Nominatim Service) GTFS-Provider   Code to identify the timetable-provider Buffer_Width m Width of the Buffer to calculate the building densities on H0_strasse Nat Entropy of the unweighted / simplified street orientations H0_tram Nat Entropy of the unweighted / simplified tram orientations phi_street   Orientation-order of the street network phi_tram   Orientation-order of the tram network region   Region to categorize the cities based on the CIA World Factbook rho_b m²/m² or % Building densities along the relation geometry   Line geometry in the coordinate reference system EPSG:4326 data.zip City-Folders Each folder is an excerpt of the working directory used to calculate the desired information. Some of the folders may be empty, since the Information used in the thesis is contained in building_data.json. These empty directories were used to store information, which can be downloaded from the sources provided in the thesis. station_matching.csv: Links OSM and Timetabledata cities.csv This file is the starting point for the analysis. The code tries to read the file and attempts to gain and process the needed data for each city. Some of the fields can be populated using the functions in code/diplomarbeit/utils.py. orientations.csv Contains the results of the calculations using the OSMnx Package for the Orientation-Order-Index. code.zip Contains all the necessary Python code to calculate the information given in building_data.json and the file requirements.txt, which lists the necessary Python packages.   Attribution OpenStreetMap contributors - OpenStreetMap Steinwidder, P. (2023). Bewertungsverfahren zur Analyse der Reisegeschwindigkeit von Straßenbahnen [Diploma Thesis, Technische Universität Wien] Bettinger, T., Leibner, P. and Schindler, C. (2023) 'Horizontal curvature estimation of tram tracks using OpenStreetMap', Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 237(3) Boeing, G. (2025). Modeling and Analyzing Urban Networks and Amenities with OSMnx. Geographical Analysis 57 (4), 567-577 Lourenço, J.R. (2021) Open-Elevation [Software] Jarvis, A., Reuter, H.I., Nelson, A. and Guevara, E. (2008) Hole-filled seamless SRTM data V4.