Thi, Thanh Thoa Pham and Timoney, Joseph and Ravichandran, Shyram and Mooney, Peter and Winstanley, Adam C. (2017) Bike Renting Data Analysis: The Case of Dublin City. In: 25th GIS Research UK Conference (GISRUK), 18-21 Apr 2017, Manchester, UK.

Preview

Download (545kB) | Preview

Abstract

Public bike renting is more and more popular in cities to incentivise a reduction in car journeys and to boost the use of green transportation alternatives. One of the challenges of this application is to effectively plan the resources usage. This paper presents some analysis of Dublin bike renting scheme based on statistics and data mining.It provides available bike patterns at the most interesting bike stations, that is, the busiest and the quietest stations. Consistency checking with new data reinforces confidence in the patterns obtained. Identifying available bike patterns helps to better address user needs such as organising the rebalancing of the bike numbers between stations in advance of demand.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	bike renting; data analysis; clustering; data visualisation; Open Street Maps;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Social Sciences > Research Institutes > Maynooth University Social Sciences Institute, MUSSI
Item ID:	12013
Depositing User:	Joseph Timoney
Date Deposited:	12 Dec 2019 14:57
Refereed:	Yes
URI:	Publisher Organisation
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads