Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems

Daniel Reijsbergen

doi:10.1007/978-3-319-50230-4_7

Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems

Daniel Reijsbergen

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Software Technologies: Applications and Foundations
Subtitle of host publication	Federation of International Conferences on Software Technologies: Applications and Foundations STAF 2016
Place of Publication	Vienna, Austria
Publisher	Springer
Pages	83-97
Number of pages	15
ISBN (Electronic)	978-3-319-50230-4
ISBN (Print)	978-3-319-50229-8
DOIs	https://doi.org/10.1007/978-3-319-50230-4_7
Publication status	Published - 1 Dec 2016
Event	From Data to Models and Back (DataMod) - Electrotechnical Institute, TU Wien, Vienna, Austria Duration: 7 Jul 2016 → 8 Jul 2016 http://staf2016.conf.tuwien.ac.at/

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Publisher	Springer International Publishing
Volume	9946
ISSN (Print)	0302-9743

Symposium

Symposium	From Data to Models and Back (DataMod)
Abbreviated title	STAF 2016
Country/Territory	Austria
City	Vienna
Period	7/07/16 → 8/07/16
Internet address	http://staf2016.conf.tuwien.ac.at/

Access to Document

10.1007/978-3-319-50230-4_7

2016_spatial_bssAccepted author manuscript, 2.11 MB

http://link.springer.com/chapter/10.1007/978-3-319-50230-4_7

QUANTICOL - A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (RTD)
Hillston, J. (Principal Investigator) & Gilmore, S. (Co-investigator)
EU government bodies
1/04/13 → 31/03/17
Project: Research

Cite this

Reijsbergen, D. (2016). Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems. In Software Technologies: Applications and Foundations: Federation of International Conferences on Software Technologies: Applications and Foundations STAF 2016 (pp. 83-97). (Lecture Notes in Computer Science (LNCS); Vol. 9946). Springer. https://doi.org/10.1007/978-3-319-50230-4_7

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title = "Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems",

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 {\textquoteleft}rate{\textquoteright} how attractive city areas are for station placement. The presented methods use only non-proprietary data readily available via the Internet. ",

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Reijsbergen, D 2016, Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems. in Software Technologies: Applications and Foundations: Federation of International Conferences on Software Technologies: Applications and Foundations STAF 2016. Lecture Notes in Computer Science (LNCS), vol. 9946, Springer, Vienna, Austria, pp. 83-97, From Data to Models and Back (DataMod), Vienna, Austria, 7/07/16. https://doi.org/10.1007/978-3-319-50230-4_7

Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems. / Reijsbergen, Daniel.
Software Technologies: Applications and Foundations: Federation of International Conferences on Software Technologies: Applications and Foundations STAF 2016. Vienna, Austria: Springer, 2016. p. 83-97 (Lecture Notes in Computer Science (LNCS); Vol. 9946).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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T3 - Lecture Notes in Computer Science (LNCS)

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T2 - From Data to Models and Back (DataMod)

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Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems

Abstract

Publication series

Symposium

Access to Document

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Projects

QUANTICOL - A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (RTD)

Cite this