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:

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.