Dr.-Ing. Anna Reiffer
- room: 304, Gebäude 10.30
- phone: +49 721 608-47735
- fax: +49 721 608-48031
- Anna Reiffer ∂does-not-exist.kit edu
Education and Work Experience
| since 11/2017 | Research Assistant at the Institute for Transport Studies at KIT |
| 05/2022 - 08/2022 | Research stay at the University of Leeds |
| 04/2015 - 10/2017 | Master’s degree in Mobility and Infrastructure at KIT |
| 09/2011 - 03/2015 | Bachelor’s degree in Civil Engineering at KIT |
| 02/2017 - 09/2017 | Working student at EnBW Energie Baden-Württemberg AG, division: electric mobility |
| 06/2016 - 10/2017 | Student Research Assistant at the Institute for Transport Studies at KIT |
| 06/2015 - 05/2016 | Working student at the Regional Council Karlsruhe, division: road and transportation sector |
| 09/2013 - 05/2015 | Intern and working student at TransportTechnologie-Consult Karlsruhe GmbH (TTK) |
Research
- Travel demand models
- mobiTopp
- Commercial transport
- Discrete Choice Models
Memberships
- Member of the German Association of Transport Sciences (DVWG)
- German Association for Road and Transportation Research (FGSV): Member of the Working Group 1.8.3 - Survey methods and data on commercial transport
- Member of the Zephyr Foundation
| Project Title | Funding | Start | End |
|---|---|---|---|
| LogIKTram - Logistics Concept and ICT Platform for Urban Rail-based Freight Transport | Bundesministerium für Wirtschaft und Energie (BMWi) |
2021 |
2024 |
| VenAMo Traffic Reduction through new Forms of Work and Mobility Technologies | Bundesministerium für Bildung und Forschung (BMBF) |
2020 |
2023 |
| Profilregion Mobilitätssysteme Karlsruhe - Urban Mobility in Transition | Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg |
2019 |
2021 |
| regiomove | Europäische Fonds für regionale Entwicklung (EFRE), Land Baden-Württemberg |
2017 |
2021 |
Publications
Reiffer, A. S.; Kagerbauer, M.; Vortisch, P. (2024). Prediction of Telecommuting Engagement Through Machine Learning to Enhance Travel Survey Data. 103rd Transportation Research Board Annual Meeting, Washington D.C., January 7-11, 2024.
Reiffer, A. S.; Vortisch, P. (2024). Framework for Generating 7-Day Activity Schedules Considering Household Interactions. 103rd Transportation Research Board Annual Meeting, Washington D.C., January 7-11, 2024.
Reiffer, A.; Kübler, J.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2023). Analysing Long-Term Effects of the Covid-19 Pandemic on Last-Mile Delivery Traffic Using an Agent-Based Travel Demand Model. Proceedings of the 12th International Scientific Conference on Mobility and Transport. Ed.: C. Antoniou, 127–139, Springer Nature Singapore. doi:10.1007/978-981-19-8361-0_9
Reiffer, A.; Magdolen, M.; Ecke, L.; Vortisch, P. (2023). Longitudinal Analysis of Changes in Telecommuting Behavior and Associated Changes in Travel Behavior. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023.
Reiffer, A. S.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Agent-based model of last-mile parcel deliveries and travel demand incorporating online shopping behavior. Research in Transportation Economics, 102, Art.-Nr.: 101368. doi:10.1016/j.retrec.2023.101368
Kübler, J.; Reiffer, A.; Briem, L.; Vortisch, P. (2022). Integrating Neighbours into an Agent-Based Travel Demand Model to Analyse Success Rates of Parcel Deliveries. Procedia Computer Science, 201, 181–188. doi:10.1016/j.procs.2022.03.026
Reiffer, A.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P. (2022). Representation of Work-Related Trip Patterns in Household and Commercial Travel Surveys. Transportation research record, 2676 (11), 59–73. doi:1177/03611981221091559
Reiffer, A.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P. (2022). Work-Related Trip Patterns in Household and Commercial Travel Surveys. 101st Transportation Research Board Annual Meeting, Washington D.C., January 9-13, 2022.
Reiffer, A.; Magdolen, M.; Ecke, L.; Vortisch, P. (2022). Effects of COVID-19 on Telework and Commuting Behavior: Evidence from 3 Years of Panel Data. Transportation Research Record: Journal of the Transportation Research Board, 2677 (4), 478–493. doi:10.1177/03611981221089938
Pelz, D. T.; Reiffer, A.; Kagerbauer, M.; Vortisch, P. (2021). Potential of Replacing Conventionally Powered Carsharing Vehicles with Electric Vehicles. 100th Transportation Research Board Annual Meeting, Washington D.C., January 05 - 29, 2021.
Reiffer, A.; Kübler, J.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2021). An integrated agent-based model of travel demand and package deliveries. International Journal of Traffic and Transportation Management, 3 (2), 17–24. doi:10.5383/JTTM.03.02.003
Reiffer, A.; Kübler, J.; Briem, L.; Kagerbauer, M.; Vortisch, P. (2021). Integrating urban last-mile package deliveries into an agent-based travel demand model. The 12th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 4th International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops. Ed.: E. Shakshuki, 178–185, Elsevier. doi:10.1016/j.procs.2021.03.028
Reiffer, A.; Magdolen, M.; Ecke, L.; Vortisch, P. (2021). Auswirkungen von COVID-19 auf das Arbeiten von Zuhause – eine Analyse auf Basis der Daten des Deutschen Mobilitätpanels. Journal für Mobilität und Verkehr, (10). doi:10.34647/jmv.nr10.id72
Reiffer, A.; Heilig, M.; Szimba, E.; Klenner, J.; Kagerbauer, M.; Vortisch, P. (2020). Combining Macro- and Microscopic Approaches to Model Commercial Transport Demand in an Urban Area. Transportation Research Procedia, 48, 574–589. doi:10.1016/j.trpro.2020.08.061
Reiffer, A.; Wörle, T.; Heilig, M.; Kagerbauer, M.; Vortisch, P. (2020). Mode Choice Behavior on Access Trips to Carsharing Vehicles. Forum on Integrated and Sustainable Transportation Systems (FISTS), Delft, 03.11.2020 - 05.11.2020, 353–358, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/FISTS46898.2020.9264860
Reiffer, A.; Wörle, T.; Briem, L.; Soylu, T.; Kagerbauer, M.; Vortisch, P. (2019). Identifying Usage Profiles of Station-Based Car-Sharing Members Using Cluster Analyses. TRB 98th Annual Meeting Compendium of Papers. Ed.: Transportation Research Board.
Reiffer, A.; Heilig, M.; Kagerbauer, M.; Vortisch, P. (2018). Microscopic Demand Modeling of Urban and Regional Commercial Transport. Procedia computer science, 130, 667–674. doi:10.1016/j.procs.2018.04.118