2024-03-29T05:35:54Zhttps://repositori.uji.es/oai/requestoai:repositori.uji.es:10234/1822702019-11-18T18:04:53Zcom_10234_71345com_10234_158176col_10234_141145
00925njm 22002777a 4500
dc
Perotti, Fabián Rodolfo
author
2019-03
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.
http://hdl.handle.net/10234/182270
Màster Universitari Erasmus Mundus en Tecnologia Geoespacial
Erasmus Mundus University Master's Degree in Geospatial Technologies
Máster Universitario Erasmus Mundus en Tecnología Geoespacial
geospatial data
bike share system
visual dashboard
mobility patterns
visual analytics
Spatial analysis of cyclist mobility patterns using geo-visualization to improve public bike-share system in a small size city