Combining analytics and simulation methods to assess the impact of shared, autonomous electric vehicles on sustainable urban mobility
Urban mobility is currently undergoing three fundamental transformations with the sharing economy, electrification, and autonomous vehicles changing how people and goods move across cities. In this paper, we demonstrate the valuable contribution of decision support systems that combine data-driven a...
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| Vydáno v: | Information & management Ročník 59; číslo 5; s. 103285 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier B.V
01.07.2022
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| Témata: | |
| ISSN: | 0378-7206, 1872-7530 |
| On-line přístup: | Získat plný text |
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| Abstract | Urban mobility is currently undergoing three fundamental transformations with the sharing economy, electrification, and autonomous vehicles changing how people and goods move across cities. In this paper, we demonstrate the valuable contribution of decision support systems that combine data-driven analytics and simulation techniques in understanding complex systems such as urban transportation. Using the city of Berlin as a case study, we show that shared, autonomous electric vehicles can substantially reduce resource investments while keeping service levels stable. Our findings inform stakeholders on the trade-off between economic and sustainability-related considerations when fostering the transition to sustainable urban mobility. |
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| AbstractList | Urban mobility is currently undergoing three fundamental transformations with the sharing economy, electrification, and autonomous vehicles changing how people and goods move across cities. In this paper, we demonstrate the valuable contribution of decision support systems that combine data-driven analytics and simulation techniques in understanding complex systems such as urban transportation. Using the city of Berlin as a case study, we show that shared, autonomous electric vehicles can substantially reduce resource investments while keeping service levels stable. Our findings inform stakeholders on the trade-off between economic and sustainability-related considerations when fostering the transition to sustainable urban mobility. |
| ArticleNumber | 103285 |
| Author | Dlugosch, Oliver Neumann, Dirk Brandt, Tobias |
| Author_xml | – sequence: 1 givenname: Oliver surname: Dlugosch fullname: Dlugosch, Oliver email: oliver.dlugosch@is.uni-freiburg.de organization: Chair for Information Systems Research, University of Freiburg, Platz der Alten Synagoge, 79098 Freiburg, Germany – sequence: 2 givenname: Tobias surname: Brandt fullname: Brandt, Tobias email: brandt@rsm.nl organization: Rotterdam School of Management, Erasmus University, 3062 PA Rotterdam, The Netherlands – sequence: 3 givenname: Dirk surname: Neumann fullname: Neumann, Dirk email: dirk.neumann@is.uni-freiburg.de organization: Chair for Information Systems Research, University of Freiburg, Platz der Alten Synagoge, 79098 Freiburg, Germany |
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| Issue | 5 |
| Keywords | Urban mobility Shared autonomous electric vehicles Simulation Sustainability Decision support |
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