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  4. Data-based Usage Analysis of Shared e-scooters in the Context of Public Transport
 
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2022
Conference Paper
Title

Data-based Usage Analysis of Shared e-scooters in the Context of Public Transport

Abstract
Shared e-scooters could improve the sustainability of traffic by being an incentive to switch to public transportation and simultaneously being a potential first- and last mile-solution. Currently, it is not clear whether e-scooter sharing is a positive addition or an additional burden for urban traffic. This work evaluates the usage of shared e-scooters and its impacts on public transport, based on movement data of e-scooters distributed in the German city of Karlsruhe. A central research question answered in this work is whether shared e-scooters contribute to increasing the attractiveness of public transport or whether they substitute it. Since this question has hardly been investigated with the help of mobility data so far, a concept is to be developed, based on which e-scooter usage in connection with public transportation can be studied.
Author(s)
Oehme, Rafael
Karlsruher Institut für Technologie -KIT-  
Titov, Waldemar
Baden-Württemberg Institut für Nachhaltige Mobilität
Krauß, Konstantin  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Gnann, Till  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Schlegel, Thomas
Karlsruher Institut für Technologie -KIT-, Institut für Ubiquitäre Mobilitätssysteme
Mainwork
Intelligent Human Systems Integration, IHSI 2022. Integrating People and Intelligent Systems  
Conference
International Conference on Intelligent Human Systems Integration 2022  
Open Access
File(s)
Download (930.03 KB)
Rights
CC BY
DOI
10.24406/publica-r-417693
10.54941/ahfe100990
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Shared E-Scooter

  • Last-Mile-Solution

  • Public Transport

  • Movement Data

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