Our research on urban ridepooling
Here’s where we publish the results of our ongoing research into ridepooling and the future of mobility.
More studies, more insights
This paper analyzes the tradeoff between waiting time and detours and their impact on service efficiency in ridepooling systems.
Authors: Chengqi Lu, Nico Kuehnel
Year: 2024
Incorporated into Hamburg's public transportation system in 2023, MOIA provides wheelchair-accessible vehicles and discounted fares for severely disabled individuals. This study examines one year of demand patterns post-integration, using data analyses to evaluate its influence on service usage and accessibility, yielding insights for urban mobility development.
Authors: Nico Kühnel, Felix Zwick, Tom-Erik Kuhlen
Year: 2024
This paper presents an automated way to optimize driver shifts for our simulation tooling.
Authors: N. Kuehnel, S. Arora, F. Zwick, Q. Zhang
Year: 2023
This work quantifies how factors as travel cost, travel time, trip distance and purpose influence the use of ride-pooling.
Authors: T. Schatzmann, F. Zwick, K. W. Axhausen
Year: 2023
This article explores the operational challenges of non-autonomous ride-pooling systems and concludes that the operational aspects substantially limit the ride-pooling efficiency.
Authors: F. Zwick, N. Kuehnel, S. Hörl
Year: 2022
This study examines the effects of the COVID-19 pandemic in 2020 on the demand for the ride-pooling service of MOIA.
Authors: F. Zwick, E. Fraedrich, K. W. Axhausen
Year: 2022
This paper presents a methodology to efficiently scale agent-based populations while preserving realistic traffic flows and key performance indicators.
Authors: N. Kuehnel, H. Rewald, S. Axer, F. Zwick, R. Findeisen
Year: 2022
This conference paper discusses the rise of digitized on-demand ride-pooling services, their potential for efficient urban mobility, and the gap between research findings and real-world implementations.
Authors: F. Zwick, N. Kuehnel, K. W. Axhausen
Year: 2022
This article connects ride-pooling demand from Hamburg with factors like workplace density, gastronomy, and cultural facilities to then use the results to predict the demand in another city.
Authors: F. Zwick, K. W. Axhausen
Year: 2022
Two different simulation frameworks are compared in this study, both demonstrate their capability to generate realistic results for assessing mode choice and ride-pooling schemes.
Authors: F. Zwick, G. Wilkes, R. Engelhardt, S. Axer, F. Dandl, H. Rewald, N. Kostorz, E. Fraedarich, M. Kagerbauer, K. W. Axhausen
Year: 2022
This conference paper evaluates the impact of traffic uncertainty on the ride-pooling system performance, it shows that uncertainty leads to a trade-off between violating customer constraints and rejecting requests after prior rejections.
Authors: S. Hörl, F. Zwick
Year: 2022
This article investigates the use of MOIA during the 9-Euro-ticket for public transportation. It shows no decline of MOIA use during this period and thus a long-term benefit for MOIA with a strong existing public transport system.
Authors: C. Pfundstein, T. Sadler, N. Kuehnel, F. Zwick
Year: 2022
In diesem Bericht wird der methodische Ansatz der Begleitforschung zu MOIA beschrieben und ausgewählte Ergebnisse vorgestellt.
Authors: F. Zwick, G. Wilkes, R. Engelhardt, F. Dandl, N. Kostorz, E. Fraedarich, M. Kagerbauer, U. Glöckl
Year: 2021
This study assessed the efficiency of ride-pooling services by simulating different regions with different population sizes and trip densities and the results indicate a logarithmic increase in system efficiency with increasing trip densities.
Authors: F. Zwick, N. Kuehnel, R. Moeckel, K. W. Axhausen
Year: 2021
Dieser Artikel gibt Einblicke in die alltägliche Nutzung von MOIA in Hamburg und Hannover.
Authors: N. Kostorz, E. Fraedrich, M. Kagerbauer
Year: 2021
This article addresses the scarcity of knowledge about ridepooling in Germany by presenting results from a survey of over 12,000 respondents on MOIA, revealing that MOIA users span all age groups, engage in multimodal travel, and use ridepooling occasionally, particularly during the evening or night.
Authors: N. Kostorz, E. Fraedrich, M. Kagerbauer
Year: 2021
This report presents the insights into the usage and users of ride-pooling in Hamburg received from a 2.5 yearlong study with the KIT and TU Munich.
Authors: Dr. M. Kagerbauer, N. Kostorz, G. Wilkes, F. Dandl, R. Engelhardt, U. Glöckl, Dr. E. Fraedrich, F. Zwick
Year: 2021
This study utilizes demand and supply data from MOIA to simulate the impacts of pooling parameters, it showed significant influence of the maximum waiting time.
Authors: F. Zwick, K. W. Axhausen
Year: 2020
This conference paper compares two different pooling strategies in MATSim by leveraging the demand data from MOIA, it concludes that both have their benefits in different scenarios.
Authors: F. Zwick, K. W. Axhausen
Year: 2020
In diesem Artikel werden die Veränderungen der Verkehrsnachfrage und des Verkehrsangebots während der COVID-19-Pandemie am Beispiel von MOIA untersucht, um aus den Erkenntnissen Empfehlungen für Anbieter und Kommunen abzuleiten.
Authors: F. Zwick, E. Fraedrich, N. Kostorz, M. Kagerbauer
Year: 2020