Combining analytics and simulation methods to assess the impact of shared, autonomous electric vehicles on sustainable urban mobility
Dlugosch O, Brandt T, Neumann D
Research article (journal) | Peer reviewedAbstract
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.
Details about the publication
Authors from the University of Münster
| Brandt, Tobias |
Talks on the publication
| Combining Analytics and Simulation Methods to Assess the Impact of Shared, Autonomous, Electric Vehicles on Sustainable Urban Mobility Dlugosch, Oliver; Brandt, Tobias; Neumann, Dirk (05/06/2019) Workshop on Big Data Analytics and Sustainability, King's College, London, UK Type of talk: scientific Talk | |
| Mobility-as-a-Service — How Shared, Autonomous, Electric Cars Transform Urban Transportation Dlugosch, Oliver; Brandt, Tobias; Neumann, Dirk (15/12/2017) 27th Workshop on Information Technology and Systems (WITS 2017), Seoul, South Korea Type of talk: scientific Talk |