Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems

Daniel Reijsbergen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a simulation methodology for generating the locations of stations in Bicycle-Sharing Systems. We present several methods that are inspired by the literature on spatial point processes. We evaluate how the artificially generated systems compare to existing systems through a case study involving 11 cities worldwide. The method that is found to perform best is a data-driven approach in which we use a dataset of places of interest in the city to ‘rate’ how attractive city areas are for station placement. The presented methods use only non-proprietary data readily available via the Internet.
Original languageEnglish
Title of host publicationSoftware Technologies: Applications and Foundations
Subtitle of host publicationFederation of International Conferences on Software Technologies: Applications and Foundations STAF 2016
Place of PublicationVienna, Austria
PublisherSpringer International Publishing
Pages83-97
Number of pages15
ISBN (Electronic)978-3-319-50230-4
ISBN (Print)978-3-319-50229-8
DOIs
Publication statusPublished - 1 Dec 2016
EventFrom Data to Models and Back (DataMod) - Electrotechnical Institute, TU Wien, Vienna, Austria
Duration: 7 Jul 20168 Jul 2016
http://staf2016.conf.tuwien.ac.at/

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer International Publishing
Volume9946
ISSN (Print)0302-9743

Symposium

SymposiumFrom Data to Models and Back (DataMod)
Abbreviated titleSTAF 2016
CountryAustria
CityVienna
Period7/07/168/07/16
Internet address

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