The following repository contains the code and data used to produce my talked titled "Disaggregating bike-share mobility data to measure urban segregation over time" presented at IC2S2 2023.

The original, raw Bluebike can be retrieved from the Bluebikes webiste.

• load_data_clear loads Bluebike data, filters, and outputs stations.csv. Generates highlevel trip patterns.
• random_walker.py runs the random walks and calculates the mobility metrics.
• Sousa_Nicosia_Extension.ipynb visualizes the mobility results

Please direct any comments, questions, or concerns to David Liu at [email protected]