Smart Mobility Research Group (SMRG)
The core competence of the SMRG is its focus on the practitioner-oriented evaluation of new technologies and concepts in the domain of mobility. Thus, our primary objectives include the development and testing of innovations, and the creation of business models and information systems regarding intelligent and sustainable solutions for mobility. This is achieved through the analysis of electrical vehicle acceptance (e.g. e-cars and e-bikes) for use in current and future energy systems (e.g. Smart Grids). We pursue the collaborative development of scientific publications by working in an interdisciplinary research environment within these areas of research and application in order to exchange knowledge within both the scientific and economic communities.
Core competences and fields of application of the SMRG
- Development and experimental testing of alternative mobility and business model concepts.
- Acceptance research regarding new or alternative means of transportation (via user surveys or methodical analysis, e.g. structural equation modeling).
- Fleet and potential analysis to reduce emissions and optimize profitability
- Development of information systems in the context of innovative mobility platforms (such as online platforms and mobile applications).
- Application of data mining, machine learning and artificial intelligence to derive action plans from data.
Current research projects
- Mobilitäts-App für Neuzugewanderte (MAZ)
- Explainable AI Methods for Human Centric RIDEshaRing (EC-RIDER)
- Flexibilitätsmanagement und Regelenergiebereitstellung von Schwerlastfahrzeugen im Hafen (FRESH)
- Aufbau eines nachhaltigen Pedelec-Sharing-Systems für kleine und mittelgroße Unternehmen (PedShare)
- Cooperative Connected Intelligent Vehicles for Safe and Efficient Road Transport (COSAFE)
- Mobility Opportunities Valuable to Everybody (MOVE)
Excerpt of current research papers
- Herrenkind, B.; Nastjuk, I.; Brendel, A.B.; Trang, S.; Kolbe, L.M. (2019): Young People’s Travel Behavior – Using the Life-Oriented Approach to Understand the Acceptance of Autonomous Driving, Transportation Research Part D: Transport and Environment - Special Issue “Young People’s Behavior”. [VHB: B]
- Lembcke, T.B.; Engelbrecht, N.; Brendel, A.B.; Herrenkind, B.; Kolbe, L.M. (2019): Towards a Unified Understanding of Digital Nudging by Addressing its Analog Roots, Proceedings of Pacific Asia Conference on Information Systems (PACIS), China. [VHB: C]
- Diederich, S.; Brendel, A.B.; Lichtenberg, S.; Kolbe, L.M. (2019): Design for Fast Request Fulfillment or Natural Interaction? Insights from an Experiment with a Conversational Agent, Proceedings of European Conference on Information Systems (ECIS), Stockholm and Uppsala, Sweden. [VHB: B]
- Greve, M.; Harnischmacher, C.; Lichtenberg, S.; Kolbe, L.M. (2019): Smart Grid in Container Terminals – Systematization of Cost Drivers for Using Battery Capacities of Electric Transport Vehicles for Grid Stability, Proceedings of Americas Conference on Information Systems (AMCIS), Mexico.[VHB 3: D]
- Diederich, S., Brendel, A.B., & Kolbe, L.M. (2019). On Conversational Agents in Information Systems Research: Analyzing the Past to Guide Future Work. In Proceedings of Internationale Tagung Wirtschaftsinformatik. [VHB: C]
- Brendel, A.B.; Brennecke, J.T.; Nastjuk, I. (2018): Applying Econophysics in the Context of Carsharing - Development of a Vehicle Relocation Algorithm and Decision Support System, Proceedings of International Conference on Information Systems (ICIS), San Francisco, pp. 1-17.
- Brendel, A. B.; Zapadka, P.; Kolbe, L. M. (2018): Design Science Research in Green IS - Analyzing the Past to Guide Future Research, Proceedings of European Conference on Information Systems (ECIS), Portsmouth. [VHB: A]
- Brendel, A. B.; Brennecke, J. T.; Zapadka, P.; Kolbe, L. M. (2017): A Decision Support System for Computation of Carsharing Pricing Areas and its Influence on Vehicle Distribution, Proceedings of International Conference on Information Systems (ICIS), South Korea [VHB: A]
Professur für Informationsmanagement
Smart Mobility Research Group
+49 (0)551 / 39-21173