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Supplementary code for Master's thesis: "Identifying and classifying gaps in the bicycle network of Copenhagen" at the University of Copenhagen, 2021

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msc-bikegaps readme

import parameters and custom functions: run ppf.py

step 1 - make simplified network h: input = raw OSM data (car and bicycle nodes and links, 1 csv file each); output = simplified network H (nx) resp. h (ig), subgraph B (nx) resp. b (ig)

step 2 - get edge betweenness centrality values ebc: input = H and h from step 1; output = ebc df of edge betweenness centralities

step 3 - get list of gaps mygaps: input = H and h from step 1, ebc from step 2; output = mygaps list of gaps ranked by mbar_c_gap

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Supplementary code for Master's thesis: "Identifying and classifying gaps in the bicycle network of Copenhagen" at the University of Copenhagen, 2021

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