• Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)

GI_Forum 2018, Volume 6, Issue 1

Journal for Geographic Information Science

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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at

GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.

Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum
GI_Forum is listed on the Directory of Open Access Journals (DOAJ)

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GI_Forum 2018, Volume 6, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-8359-4
Online Edition



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Verlag der Österreichischen Akademie der Wissenschaften
Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2,
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400
https://verlag.oeaw.ac.at, e-mail: bestellung.verlag@oeaw.ac.at
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Reviewing Software for Agent-based Bicycle Flow Models

    Dana Kaziyeva, Gudrun Wallentin, Martin Loidl, Stefan Mohr, Christian Neuwirth

GI_Forum 2018, Volume 6, Issue 1, pp. 291-296, 2018/06/22

Journal for Geographic Information Science

doi: 10.1553/giscience2018_01_s291

doi: 10.1553/giscience2018_01_s291


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doi:10.1553/giscience2018_01_s291



doi:10.1553/giscience2018_01_s291

Abstract

Agent-based models are able to simulate traffic flows and reveal emergent phenomena which tend to remain hidden in traditional traffic modelling frameworks. Until now Agent-Based Modelling has primarily been employed to simulate bicycle traffic flows at a local level, but hardly ever at a regional level. The present review examines the suitability of available agent-based platforms for modelling bicycle traffic flows at regional level, outlining the requirements for doing this. From a wide range of available tools, we considered GAMA, NetLogo and MATSim for an in-depth evaluation.

Keywords: bicycle traffic flow, agent-based modelling and simulation, agent-based platforms