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Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems

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Software Technologies: Applications and Foundations (STAF 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9946))

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.

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Notes

  1. 1.

    Alternatively called Bicycle-Sharing Plans.

  2. 2.

    In terms of their RGB (Red, Green, Blue) values.

  3. 3.

    http://mapnik.org/.

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Acknowledgments

This work has been supported by the EU project QUANTICOL, 600708. The author would like to thank Vashti Galpin and Jane Hillston for their helpful feedback on an earlier version of this paper.

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Authors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Daniël Reijsbergen

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  1. Daniël Reijsbergen
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Correspondence to Daniël Reijsbergen .

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Editors and Affiliations

  1. Dipartimento di Informatica, Universita di Pisa, Pisa, Italy

    Paolo Milazzo

  2. Budapest University of Technology and Economics, Budapest, Hungary

    Dániel Varró

  3. Vienna University of Technology, Vienna, Austria

    Manuel Wimmer

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Reijsbergen, D. (2016). Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems. In: Milazzo, P., Varró, D., Wimmer, M. (eds) Software Technologies: Applications and Foundations. STAF 2016. Lecture Notes in Computer Science(), vol 9946. Springer, Cham. https://doi.org/10.1007/978-3-319-50230-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-50230-4_7

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  • Print ISBN: 978-3-319-50229-8

  • Online ISBN: 978-3-319-50230-4

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