rC3 2021 Supplementary Materials

This blog article accompanies my oral rC3 2021 contribution “Optimising public transport: A data-driven bike-sharing study in Marburg”.

Slides

Download the slides I presented here: click.

(to be added.)

Cycling in Marburg (1/4): Project introduction and data source
Cycling in Marburg (2/4): For Nextbike users
Cycling in Marburg (3/4): For the city council
Cycling in Marburg (4/4): Machine learning predictions
Cycling in Marburg: Cycling in Marburg: Interactive transition matrix figures

Every figure can be clicked on.

Day-hour histogram.

Probability to find a station emtpy.

Probability to find a station empty against its mean occupation number.

Parked bikes against time.

Transition matrix with diagonal elements.

Transition matrix without diagonal elements.

Popular routes.

Corona comparison.

Number of bike stations and number of bikes in Marburg.

Number of trips.

Traveled distance.

Kcal burned.

Ecological benefits.

Interactive network graph of transition matrix elements: