330.008 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Arnone, Maurizio |
| |
| Weimer, Julian | Cologne |
|
| Yushau, Ilyas |
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| Rupi, Federico |
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| Bruneel, Herwig |
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| Percoco, Marco |
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| Gulati, Dhiraj |
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| Gubser, Ariane |
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| Friedrich, Horst E. | Stuttgart |
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| Heldt, Benjamin |
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| Mélange, Willem |
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| Walraevens, Joris R R |
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| Ye, Yun-Guang |
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| MANNINO, CARLO |
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| Zhang, Yinggui |
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| Felux, Michael |
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| Russwinkel, Nele |
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| Unterhuber, Paul | Champs-sur-Marne |
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| Lamorgese, Leonardo Cameron |
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| Veraldi, Valerio |
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| Endemann, Peter |
| |
| Plogmann, Justin |
| |
| Pensa, Stefano |
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| Schindewolf, Marc |
| |
| Ulrich, Christian |
|
Kostorz, Nadine
in Cooperation with on an Cooperation-Score of 37%
Topics
- paper
- modeling
- traffic behavior
- traffic planning
- mode choice
- tourist
- tourism
- traffic volume
- international travel
- trip length
- city traffic
- traffic mode
- vehicle fleet
- quality of service
- dynamic model
- choice model
- automation
- multi-agent transport simulation
- fare
- mode choice model
- ponding
- ridehailing
- ridepooling
- automobile
- driver
- travel
- city
- simulation
- public transport
- indicating instrument
- market
- customer
- transport demand
- operating costs
- vehicle occupancy
- survey
- passenger
- vehicle occupant
- age
- urban mobility
- night
- evening
- travel pattern
- work trip
- industry
- electric vehicle
- region
- infrastructure
- mobility pattern
- forecasting
- accumulator
- household
- submarine
- charging infrastructure
- bottleneck
- hybrid vehicle
- autumn
- market penetration
- transformer
- medium-term plan
- bicycle
- scootersharing
- e-scooter
- shared mobility
- autonomous vehicle
- data
- variable
- automobile ownership
- ownership
- forecasting model
- gender
- probit
- minibus
- perception
- local public transport
- Research Context Germany
- urban area
- market share
- bus
- workshop
- planer
- app
- market survey
- show 53 more
Publications
- 2022Modeling Private and Business Travelers in an Agent-Based Travel Demand Model
- 2022Mode choice and ride-pooling simulation: A comparison of mobiTopp, Fleetpy, and MATSim
- 2022Autonomous Ride-Poooling in Hamburg - Results from an Integrated Travel Demand and Fleet Simulation Model
- 2021Usage and User Characteristics - Insights from MOIA, Europe’s Largest Ridepooling Servicecitations
- 2021Analysis and Prediction of Electromobility and Energy Supply by the Example of Stuttgartcitations
- 2021Usage and User Characteristics—Insights from MOIA, Europe’s Largest Ridepooling Servicecitations
- 2021Ridepooling in der Modellierung des Gesamtverkehrs - Methodenbericht zur MOIA Begleitforschung
- 2021Ridepooling als Mobilitätsoption für alle? Erkenntnisse aus der Moia-Begleitforschung zu Nutzerinnen und Nutzern
- 2021Ridepooling in Hamburg – the route to the future: Report on the results of the accompanying research for MOIA
- 2021E-Scooter – Freizeitspaß oder alternatives Mobilitätsangebot? = E-Scooter - Just for Fun or an Alternative Mobility Service
- 2020Examining the Acceptance for Autonomous Transit Feeders Using a Hybrid Choice Model
- 2020Ridepooling als ÖPNV-Ergänzung - Der Moia-Nachtservice während der Corona-Pandemie
- 2019Automatisierte Kleinbusse im Öffentlichen Personennahverkehr – Akzeptanz und Nutzungsintentionen in Deutschlandcitations
- 2019Prognosen einer elektromobilen Offensive im urbanen Raum am Beispiel des Großraums Stuttgart - Konsequenzen und Handlungsoptionen
- 2019Prediction on future electric vehicle market shares in urban areas and related consequences for energy delivery & grid stability - investigation of Stuttgart
- 2019Fahrerlose Kleinbusse im ÖPNV: Chancen und Herausforderungen: Erste Ergebnisse aus dem Forschungsvorhaben LEA(Klein-)Bus
- 2019Voraussetzungen & Einsatzmöglichkeiten von automatisiert und elektrisch fahrenden (Klein-) Bussen im ÖPNV - Ergebnisse aus dem Forschungsvorhaben LEA (Klein-) Bus
- 2017Does Travel Behavior of People using Mobility-Apps differ? Findings from a Market Analysis in Germany
Places of action
