Lukas Barthelmes, M.Sc.

Lukas Barthelmes, M.Sc.

Werdegang

seit
10/2019		 Akademischer Mitarbeiter am Institut für Verkehrswesen am KIT
04/2017 – 09/2019 Masterstudium Wirtschaftsingenieurwesen am KIT
Abschluss als Master of Science mit den Schwerpunkten Verkehr, Logistik und Produktion
10/2018 – 03/2019 Auslandspraktikum in einer forschungsnahen Beratungsinstitution in Suzhou, China
04/2018 – 08/2018 Praktikum in der Strategieberatung der Deutschen Bahn (DB Management Consulting)
03/2016 – 09/2017 Praktikum und Werkstudententätigkeit bei der Robert Bosch GmbH in Karlsruhe
08/2015 – 12/2015 Auslandssemester an der University Consortium of Pori, Finnland
10/2013 – 03/2017 Bachelorstudium Wirtschaftsingenieurwesen am KIT
Abschluss als Bachelor of Science

Forschungsbereiche und -interessen

  • Mikroskopische Verkehrsnachfragemodellierung
  • Güterverkehr

Aufgaben in der Lehre

  • Nachhaltigkeit in Mobilitätssystemen
  • Fern- und Luftverkehr
  • Güterverkehr

Mitgliedschaften

  • Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV): Mitglied des Arbeitskreises AK 1.8.3 – Erhebungsmethoden und Daten zum Wirtschaftsverkehr
  • Mitglied in der Deutschen Verkehrswissenschaftlichen Gesellschaft (DVWG)

Publikationen


Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P. (2024). Data collection for microscopic modelling of urban parcel transport to and from establishments – empirical insights into city logistics in the region of Karlsruhe, Germany. Journal of Urban Mobility, 6, Art.-Nr.: 100085. doi:10.1016/j.urbmob.2024.100085
Wins, A.; Barthelmes, L.; Alpers, S.; Becker, C.; Kagerbauer, M.; Oberweis, A. (2024). Personalized Day-Trip Planning: A TSP-TW-Based Multimodal Multicriteria Optimisation Approach. Procedia Computer Science, 238, 352–360. doi:10.1016/j.procs.2024.06.035
Barthelmes, L.; Wilkes, G.; Kagerbauer, M.; Vortisch, P. (2024). Exploring the determinants of autonomous minibus adoption: empirical findings from a demand-based service in Germany. European Transport Research Review, 16 (1), Art.-Nr.: 35. doi:10.1186/s12544-024-00659-9
Gardrat, M.; Silva, J. de A.; Barthelmes, L.; Chlond, B.; Clifton, K.; Colaço, R.; Ciommo, F. D. (2024). Workshop synthesis: Commercial trips patterns and demand for goods from firms and households. Transportation Research Procedia, 76, 650–656. doi:10.1016/j.trpro.2023.12.087
Görgülü, M. E.; Barthelmes, L.; Kagerbauer, M. (2024). Accompanying Research on Automated Minibusses in Monheim am Rhein : Report on Results. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170289
Vallée, J.; Ecke, L.; Barthelmes, L.; Vortisch, P. (2024). Drivers and Barriers to Public Transport Usage: Insights from Psychographic Profiles Using Latent Class Analysis. Transportation Research Record: Journal of the Transportation Research Board, 2678 (10), 459–470. doi:10.1177/03611981241233580
Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M. (2024). Wissenschaftliche Begleitung der Easy-Mile-Busse in Monheim am Rhein - Ergebnisbericht. doi:10.5445/IR/1000169630
Barthelmes, L.; Kübler, J.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P. (2024). Integrated Agent-Based Modeling and Simulation Framework for Urban Parcel Shipments to and from Establishments. 103rd Transportation Research Board Annual Meeting, Washington D.C., January 7-11, 2024.
Behren, S. von; Chlond, B.; Barthelmes, L.; Heinze, A.; Vortisch, P. (2024). Mixed-method approach to compare travel surveys as preliminary work for individual matching. Transportation Research Procedia, 76, 429–444. doi:10.1016/j.trpro.2023.12.066
Barthelmes, L.; Kübler, J.; Bönisch, L.; Kagerbauer, M.; Vortisch, P. (2024). An open-source interactive travel diary for web-based trip reporting. Transportation Research Procedia, 76, 373–384. doi:10.1016/j.trpro.2023.12.062
Püschel, J.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P. (2024). Comparison of Discrete Choice and Machine Learning Models for Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models. Transportation Research Record: Journal of the Transportation Research Board, 2678 (7), 376–390. doi:10.1177/03611981231206175
Cao Van, T. L.; Barthelmes, L.; Gnann, T.; Speth, D.; Kagerbauer, M. (2023). Enhancing electric vehicle market diffusion modeling: A German case study on environmental policy integration. Energy Strategy Reviews, 50, Article no: 101244. doi:10.1016/j.esr.2023.101244
Behren, S. von; Turek, M.; Barthelmes, L.; Scholta, H.; Hansen, F.; Kagerbauer, M.; Eisenmann, C. (2023). Decoding Urban Archetypes: Exploring Mobility-Related Homogeneity among Cities. Sustainability, 15 (19), Article no: 14231. doi:10.3390/su151914231
Barthelmes, L.; Behren, S. von; Magdolen, M.; Soylu, T.; Chlond, B.; Kagerbauer, M. (2023). Insights into public transit use in Berlin – The role of autonomy and public transit privacy. 7th World Multidisciplinary Civil Engineering - Architecture - Urban Planning Symposium WMCAUS 2022, Article no: 190002, AIP Publishing. doi:10.1063/5.0170513
Wilkes, G.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P. (2023). Wie wird in autonomen Fahrzeugen die Fahrzeit genutzt? – Ergebnisse einer Stated-Preference-Befragung. Journal für Mobilität und Verkehr, (17), 27–34. doi:10.34647/jmv.nr17.id109
Kübler, J.; Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P. (2023). Modeling Relations Between Companies and CEP Service Providers in an Agent-Based Demand Model using Open-Source Data. Procedia Computer Science, 220, 486–494. doi:10.1016/j.procs.2023.03.062
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Modellbasierte Ermittlung von verkehrlichen Potentialen eines stadtbahnbasierten Gütertransports im Projekt LogIKTram in Karlsruhe. Journal für Mobilität und Verkehr, 16, 50–58. doi:10.34647/jmv.nr16.id103
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Microscopic Agent-Based Parcel Demand Model for the Simulation of CEP-Based Urban Freight Movements to and from Companies. Advances in Resilient and Sustainable Transport – Proceedings of the 6th Interdisciplinary Conference on Production, Logistics and Traffic 2023. Ed.: U. Clausen, 75–92, Springer International Publishing. doi:10.1007/978-3-031-28236-2_6
Püschel, J.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P. (2023). Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models: A Comparison of Discrete Choice and Machine Learning Models. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023.
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P. (2023). Agent-Based Model for the In- and Outgoing Parcel Quantities of Companies in an Urban Area. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023.
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
Barthelmes, L.; Heilig, M.; Klinkhardt, C.; Kagerbauer, M.; Vortisch, P. (2022). The effects of spatial characteristics on car ownership and its impacts on agent-based travel demand models. Procedia Computer Science, 201, 296–304. doi:10.1016/j.procs.2022.03.040
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.
Barthelmes, L.; Wilkes, G.; Kagerbauer, M.; Vortisch, P. (2022). Ein On-Demand- und Level 4-Kleinbus auf dem Testfeld Autonomes Fahren BW – Erkenntnisse aus der begleitenden Haushaltsbefragung zu EVA-Shuttle. Journal für Mobilität und Verkehr, (12), 36–46.
Van, T. L. C.; Barthelmes, L.; Gnann, T.; Speth, D.; Kagerbauer, M. (2021). Addressing the gaps in market diffusion modeling of electrical vehicles: A case study from Germany for the integration of environmental policy measures. Fraunhofer-Institut für System- und Innovationsforschung (ISI) (ISI).