Lukas Barthelmes, M.Sc.

Lukas Barthelmes, M.Sc.

Education and Work Experience

since
10/2019		 Research Assistant at the Institute for Transport Studies at KIT
04/2017 – 09/2019 Master’s degree in Industrial Engineering and Management at KIT
10/2018 – 03/2019 Internship abroad in a research-related consulting institution in Suzhou, China
04/2018 – 08/2018 Internship in strategy consulting at Deutsche Bahn (DB Management Consulting)
03/2016 – 09/2017 Internship and student trainee at Robert Bosch GmbH in Karlsruhe, Germany
08/2015 – 12/2015 Study abroad at the University Consortium of Pori, Finland
10/2013 – 03/2017 Bachelor’s degree in Industrial Engineering and Management at KIT

Research

  • Microscopic Travel Demand Modelling
  • Freight Transport

Teaching

  • Sustainability in Mobility Systems
  • Long-distance and Air Traffic

Memberships

  • 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 German Association of Transport Sciences (DVWG)

Publications


Data collection for microscopic modelling of urban parcel transport to and from establishments – empirical insights into city logistics in the region of Karlsruhe, Germany
Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P.
2024. Journal of Urban Mobility, 6, Art.-Nr.: 100085. doi:10.1016/j.urbmob.2024.100085
Personalized Day-Trip Planning: A TSP-TW-Based Multimodal Multicriteria Optimisation Approach
Wins, A.; Barthelmes, L.; Alpers, S.; Becker, C.; Kagerbauer, M.; Oberweis, A.
2024. Procedia Computer Science, 238, 352–360. doi:10.1016/j.procs.2024.06.035
Exploring the determinants of autonomous minibus adoption: empirical findings from a demand-based service in Germany
Barthelmes, L.; Wilkes, G.; Kagerbauer, M.; Vortisch, P.
2024. European Transport Research Review, 16 (1), Art.-Nr.: 35. doi:10.1186/s12544-024-00659-9
Workshop synthesis: Commercial trips patterns and demand for goods from firms and households
Gardrat, M.; Silva, J. de A.; Barthelmes, L.; Chlond, B.; Clifton, K.; Colaço, R.; Ciommo, F. D.
2024. Transportation Research Procedia, 76, 650–656. doi:10.1016/j.trpro.2023.12.087
Accompanying Research on Automated Minibusses in Monheim am Rhein : Report on Results
Görgülü, M. E.; Barthelmes, L.; Kagerbauer, M.
2024. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170289
Drivers and Barriers to Public Transport Usage: Insights from Psychographic Profiles Using Latent Class Analysis
Vallée, J.; Ecke, L.; Barthelmes, L.; Vortisch, P.
2024. Transportation Research Record: Journal of the Transportation Research Board, 2678 (10), 459–470. doi:10.1177/03611981241233580
Wissenschaftliche Begleitung der Easy-Mile-Busse in Monheim am Rhein - Ergebnisbericht
Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M.
2024. doi:10.5445/IR/1000169630
Integrated Agent-Based Modeling and Simulation Framework for Urban Parcel Shipments to and from Establishments
Barthelmes, L.; Kübler, J.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P.
2024. 103rd Transportation Research Board Annual Meeting, Washington D.C., January 7-11, 2024
Mixed-method approach to compare travel surveys as preliminary work for individual matching
Behren, S. von; Chlond, B.; Barthelmes, L.; Heinze, A.; Vortisch, P.
2024. Transportation Research Procedia, 76, 429–444. doi:10.1016/j.trpro.2023.12.066
An open-source interactive travel diary for web-based trip reporting
Barthelmes, L.; Kübler, J.; Bönisch, L.; Kagerbauer, M.; Vortisch, P.
2024. Transportation Research Procedia, 76, 373–384. doi:10.1016/j.trpro.2023.12.062
Comparison of Discrete Choice and Machine Learning Models for Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models
Püschel, J.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2024. Transportation Research Record: Journal of the Transportation Research Board, 2678 (7), 376–390. doi:10.1177/03611981231206175
Enhancing electric vehicle market diffusion modeling: A German case study on environmental policy integration
Cao Van, T. L.; Barthelmes, L.; Gnann, T.; Speth, D.; Kagerbauer, M.
2023. Energy Strategy Reviews, 50, Article no: 101244. doi:10.1016/j.esr.2023.101244
Decoding Urban Archetypes: Exploring Mobility-Related Homogeneity among Cities
Behren, S. von; Turek, M.; Barthelmes, L.; Scholta, H.; Hansen, F.; Kagerbauer, M.; Eisenmann, C.
2023. Sustainability, 15 (19), Article no: 14231. doi:10.3390/su151914231
Insights into public transit use in Berlin – The role of autonomy and public transit privacy
Barthelmes, L.; Behren, S. von; Magdolen, M.; Soylu, T.; Chlond, B.; Kagerbauer, M.
2023. 7th World Multidisciplinary Civil Engineering - Architecture - Urban Planning Symposium WMCAUS 2022, Article no: 190002, AIP Publishing. doi:10.1063/5.0170513
Wie wird in autonomen Fahrzeugen die Fahrzeit genutzt? – Ergebnisse einer Stated-Preference-Befragung
Wilkes, G.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2023. Journal für Mobilität und Verkehr, (17), 27–34. doi:10.34647/jmv.nr17.id109
Modeling Relations Between Companies and CEP Service Providers in an Agent-Based Demand Model using Open-Source Data
Kübler, J.; Barthelmes, L.; Görgülü, M. E.; Kagerbauer, M.; Vortisch, P.
2023. Procedia Computer Science, 220, 486–494. doi:10.1016/j.procs.2023.03.062
Modellbasierte Ermittlung von verkehrlichen Potentialen eines stadtbahnbasierten Gütertransports im Projekt LogIKTram in Karlsruhe
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P.
2023. Journal für Mobilität und Verkehr, 16, 50–58. doi:10.34647/jmv.nr16.id103
Microscopic Agent-Based Parcel Demand Model for the Simulation of CEP-Based Urban Freight Movements to and from Companies
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P.
2023. 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
Simultaneous Modeling of Mobility Tool Ownership in Agent-Based Travel Demand Models: A Comparison of Discrete Choice and Machine Learning Models
Püschel, J.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2023. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023
Agent-Based Model for the In- and Outgoing Parcel Quantities of Companies in an Urban Area
Barthelmes, L.; Görgülü, M. E.; Kübler, J.; Kagerbauer, M.; Vortisch, P.
2023. 102nd Transportation Research Board Annual Meeting, Washington D.C., January 8-12, 2023
Representation of Work-Related Trip Patterns in Household and Commercial Travel Surveys
Reiffer, A.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2022. Transportation research record, 2676 (11), 59–73. doi:1177/03611981221091559
The effects of spatial characteristics on car ownership and its impacts on agent-based travel demand models
Barthelmes, L.; Heilig, M.; Klinkhardt, C.; Kagerbauer, M.; Vortisch, P.
2022. Procedia Computer Science, 201, 296–304. doi:10.1016/j.procs.2022.03.040
Work-Related Trip Patterns in Household and Commercial Travel Surveys
Reiffer, A.; Barthelmes, L.; Kagerbauer, M.; Vortisch, P.
2022. 101st Transportation Research Board Annual Meeting, Washington D.C., January 9-13, 2022
Ein On-Demand- und Level 4-Kleinbus auf dem Testfeld Autonomes Fahren BW – Erkenntnisse aus der begleitenden Haushaltsbefragung zu EVA-Shuttle
Barthelmes, L.; Wilkes, G.; Kagerbauer, M.; Vortisch, P.
2022. Journal für Mobilität und Verkehr, (12), 36–46
Addressing the gaps in market diffusion modeling of electrical vehicles: A case study from Germany for the integration of environmental policy measures
Van, T. L. C.; Barthelmes, L.; Gnann, T.; Speth, D.; Kagerbauer, M.
2021. Fraunhofer-Institut für System- und Innovationsforschung (ISI)