A dynamic bike sharing module for agent-based transport simulation, within multimodal context

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

Traffic generates congestion and air pollution, especially in cities. These are among the reasons why environmentally
friendly solutions are promoted. Bike sharing (bs) is intended to strengthen cycling and public transport. Nevertheless,
scarcely any transport models at the present time consider cycling or bs, in either detail or holistically. We thus made
a start here and reproduced the processes of cycling and modelled station based bs to depict e.g. station choice, renting
and returning processes in detail. We included the interaction with other means of transport, especially bs and public
transport. Moreover we provided a within day rescheduling for bs trips, as agents might not find a bike or parking. To
minimize such cases, we implemented a choice probability, with which agents only start their bs trip, if sufficient
bikes or parking spots are available. In general, such models can bring monetary, environmental and temporal benefits,
since they can show potential for improvement without great cost.
Original languageEnglish
Publication statusPublished - May 2018
EventANT 2018: The 9th International Converence on Ambient Systems, Networks and Technologies - Porto, Portugal
Duration: 8 May 201811 May 2018
http://cs-conferences.acadiau.ca/ant-18/

Conference

ConferenceANT 2018
CountryPortugal
CityPorto
Period8/05/1811/05/18
Internet address

Keywords

    Cite this

    A dynamic bike sharing module for agent-based transport simulation, within multimodal context. / Hebenstreit, Cornelia; Fellendorf, Martin.

    2018. Paper presented at ANT 2018, Porto, Portugal.

    Research output: Contribution to conferencePaperResearchpeer-review

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    title = "A dynamic bike sharing module for agent-based transport simulation, within multimodal context",
    abstract = "Traffic generates congestion and air pollution, especially in cities. These are among the reasons why environmentallyfriendly solutions are promoted. Bike sharing (bs) is intended to strengthen cycling and public transport. Nevertheless,scarcely any transport models at the present time consider cycling or bs, in either detail or holistically. We thus madea start here and reproduced the processes of cycling and modelled station based bs to depict e.g. station choice, rentingand returning processes in detail. We included the interaction with other means of transport, especially bs and publictransport. Moreover we provided a within day rescheduling for bs trips, as agents might not find a bike or parking. Tominimize such cases, we implemented a choice probability, with which agents only start their bs trip, if sufficientbikes or parking spots are available. In general, such models can bring monetary, environmental and temporal benefits,since they can show potential for improvement without great cost.",
    keywords = "bike sharing; transport simulation; MATSim; route choice; agent-based simulation",
    author = "Cornelia Hebenstreit and Martin Fellendorf",
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    language = "English",
    note = "ANT 2018 : The 9th International Converence on Ambient Systems, Networks and Technologies ; Conference date: 08-05-2018 Through 11-05-2018",
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    AU - Fellendorf, Martin

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    Y1 - 2018/5

    N2 - Traffic generates congestion and air pollution, especially in cities. These are among the reasons why environmentallyfriendly solutions are promoted. Bike sharing (bs) is intended to strengthen cycling and public transport. Nevertheless,scarcely any transport models at the present time consider cycling or bs, in either detail or holistically. We thus madea start here and reproduced the processes of cycling and modelled station based bs to depict e.g. station choice, rentingand returning processes in detail. We included the interaction with other means of transport, especially bs and publictransport. Moreover we provided a within day rescheduling for bs trips, as agents might not find a bike or parking. Tominimize such cases, we implemented a choice probability, with which agents only start their bs trip, if sufficientbikes or parking spots are available. In general, such models can bring monetary, environmental and temporal benefits,since they can show potential for improvement without great cost.

    AB - Traffic generates congestion and air pollution, especially in cities. These are among the reasons why environmentallyfriendly solutions are promoted. Bike sharing (bs) is intended to strengthen cycling and public transport. Nevertheless,scarcely any transport models at the present time consider cycling or bs, in either detail or holistically. We thus madea start here and reproduced the processes of cycling and modelled station based bs to depict e.g. station choice, rentingand returning processes in detail. We included the interaction with other means of transport, especially bs and publictransport. Moreover we provided a within day rescheduling for bs trips, as agents might not find a bike or parking. Tominimize such cases, we implemented a choice probability, with which agents only start their bs trip, if sufficientbikes or parking spots are available. In general, such models can bring monetary, environmental and temporal benefits,since they can show potential for improvement without great cost.

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