Spatial analysis of cyclist mobility patterns using geo-visualization to improve public bike-share system in a small size city

Abstract

Nowadays, a large amount of data with high spatio-temporal resolution is increasingly produced in cities arising from different systems. One system on trend is Bike share systems, which creates data that allow tracking bicycles positions located at the stations network when a bike is taken from one station and later parked at the destination point. These data can be used to explore how cyclists move around the city. In this work, we use data provided by Bicicas, bike share system provider in Castellón de la Plana, the focus is set in the analysis of the cyclist mobility patterns through the use of geo-visualization tools. We propose a method which goes from data collection to the development of an interactive dashboard used for the visual analysis of the movements. The data collected and the analytical code developed during this study will be available on GitHub to enhance reproducible research practices.