This repository contains the Python code for analysis of structural properties of public transport routes across the globe.
The corresponding dataset is available at the following DOI: 10.5281/zenodo.10665302.
The code is commented to describe the functioning of each section.
Here is an overview of what the code does:
- The code inputs the route network for a city and the corresponding spatial structure of it's public transport network.
- It breaks the route into segments of tunable length and compare the actual length of the route segment with the shortest length possible between the segment ends
- The code can be used to analyze how the detours are distributed across the route and the total detour of a route.
- Further analysis can be done to understand the connectivity between routes, which is the ease of switching between the routes.
- The code also has provision to import population distribution data for cities and calculalte the weighted detour analysis for routes.
- The code can also be used to calculate several density parameter to understand city structure as commented in the code.
- Several correlations can also be found between route detours and route properties such as fraction of length in city centre, route length and population served per unit length.
Data description:
- The population data used is from the Kontur population dataset.
- Street network data is extracted from OpenStreetMaps and is tagged with the file name 'map'.
- Bus route data has been extracted from OpenStreetMaps and broken bus lines have been filtered.
For any doubts further communication can be done to kush_mohan.mittal@tu-dresden.de