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

Cornelia Hebenstreit, Martin Fellendorf

Research output: Contribution to conferencePaper

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

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