Adapting User-Based Vehicle Relocation for ECarsharing

Bibtex

Cite as text

						@Select Types{,
							 
							 
							 
							 
							 
							Journal   = "Band-1",
							 Title= "Adapting User-Based Vehicle Relocation for ECarsharing", 
							Author= "Christoph Prinz, Sascha Lichtenberg, Bernd Herrenkind, Alfred Benedikt Brendel and Lutz Kolbe", 
							Doi= "https://doi.org/10.30844/wi_2020_n4-prinz", 
							 Abstract= "The mobility sector has been established as a prominent example for the sharing economy. E-carsharing offers a way to introduce and utilize electric vehicles as a sustainable mobility service to solve current and future mobility issues. Nonetheless, e-carsharing still faces several challenges that need to be overcome in order to act as a mainstream means of commute. In this article, we propose user-based relocation to improve the use and availability of electric vehicles within e-carsharing. It enables value co-creation by actively involving the user in value creation, e.g. increasing the positiondependent value of a shared vehicle. By simulating an e-carsharing system, we were able to analyze the capabilities of user-based relocation. The results indicate that user-based relocation has the potential to greatly improve electric vehicle use and demonstrates an example of successful value co-creation in the sharing economy. Furthermore, it strengthens e-carsharing as a part of everyday mobility.

", 
							 Keywords= "Carsharing, mobility sharing, vehicle relocation, user-based, information system
", 
							}
					
Christoph Prinz, Sascha Lichtenberg, Bernd Herrenkind, Alfred Benedikt Brendel and Lutz Kolbe: Adapting User-Based Vehicle Relocation for ECarsharing. Online: https://doi.org/10.30844/wi_2020_n4-prinz (Abgerufen 23.11.24)

Abstract

Abstract

The mobility sector has been established as a prominent example for the sharing economy. E-carsharing offers a way to introduce and utilize electric vehicles as a sustainable mobility service to solve current and future mobility issues. Nonetheless, e-carsharing still faces several challenges that need to be overcome in order to act as a mainstream means of commute. In this article, we propose user-based relocation to improve the use and availability of electric vehicles within e-carsharing. It enables value co-creation by actively involving the user in value creation, e.g. increasing the positiondependent value of a shared vehicle. By simulating an e-carsharing system, we were able to analyze the capabilities of user-based relocation. The results indicate that user-based relocation has the potential to greatly improve electric vehicle use and demonstrates an example of successful value co-creation in the sharing economy. Furthermore, it strengthens e-carsharing as a part of everyday mobility.

Keywords

Schlüsselwörter

Carsharing, mobility sharing, vehicle relocation, user-based, information system

References

Referenzen

1. Avital, P.M., Carroll, J.M., Hjalmarsson, A., Levina, N., Malhotra, A., Sundararajan, A.: The Sharing Economy: Friend or Foe? (2015).
2. Schor, J.: Debating the Sharing Economy. J. Self-Governance Manag. Econ. 4, 7 (2017).
3. Hietanen, S.: ‘Mobility as a Service’ – the new transport model? Eurotransport. 12, 2– 4 (2014).
4. Remane, G., Hanelt, A., Nickerson, R.C., Tesch, J.F., Kolbe, L.M.: A Taxonomy of Carsharing Business Models. Proc. Int. Conf. Inf. Syst. 1–19 (2016).
5. Acquier, A., Daudigeos, T., Pinkse, J.: Promises and paradoxes of the sharing economy: An organizing framework. Technol. Forecast. Soc. Change. 125, 1–10 (2017).
6. Clemente, M., Fanti, M.P., Mangini, A.M., Ukovich, W.: The vehicle relocation problem in car sharing systems: Modeling and simulation in a Petri net framework. In: Lecture Notes in Computer Science. pp. 250–269. , Berlin, Springer Berlin Heidelberg (2013).
7. Frey, A., Trenz, M., Tan, C.-W., Veit, D.: On Rapport Uncertainty in the Sharing Economy – Extending the Categories of Uncertainty. In: Proceedings of the 51st Hawaii International Conference on System Sciences. pp. 626–635 (2018).
8. Brendel, A.B., Mandrella, M.: Information Systems in the Context of Sustainable Mobility Services: A Literature Review and Directions for Future Research. In: AMCIS. pp. 1–10 (2016).
9. Wagner, S., Willing, C., Brandt, T., Neumann, D.: Data Analytics for Location-Based Services: Enabling User-Based Relocation of Carsharing Vehicles. In: ICIS. pp. 279– 287 (2015).
10. Lusch, R.F., Nambisan, S.: Service Innovation A Service-Dominant-Logic perspective. MISQ. 39, 155–175 (2015).
11. Vargo, S.L., Maglio, P.P., Akaka, M.A.: On value and value co-creation: A service systems and service logic perspective. Eur. Manag. J. 26, 145–152 (2008).
12. Weikl, S., Bogenberger, K.: A practice-ready relocation model for free-floating carsharing systems with electric vehicles – Mesoscopic approach and field trial results. Transp. Res. Part C Emerg. Technol. 57, 206–223 (2015).
13. Wappelhorst, S., Sauer, M., Hinkeldein, D., Bocherding, A., Glaß, T.: Potential of Electric Carsharing in Urban and Rural Areas. Transp. Res. Procedia. 4, 374–386 (2014).
14. Franke, T., Cocron, P., Bühler, F.: Adapting to the range of an electric vehicle–the relation of experience to subjectively available mobility resources. In: Proceedings of the European Conference on Human Centred Design for Intelligent Transport Systems. pp. 95–103 (2012).
15. Di Febbraro, A., Sacco, N., Saeednia, M.: One-Way Carsharing. Transp. Res. Rec. J. Transp. Res. Board. 2319, 113–120 (2012).
16. Carlier, A., Munier-Kordon, A., Klaudel, W.: Optimization of a one-way carsharing system with relocation operations. In: Proceedings of 10th Internation Conference on Modeling, Optimization and Simulation. pp. 1–7 (2014).
17. Barth, M., Todd, M.: Simulation model performance analysis of a multiple station shared vehicle system. Transp. Res. Part C. 7, 237–259 (1999).
18. Jorge, D., Correia, G.: Carsharing systems demand estimation and defined operations: A literature review. Eur. J. Transp. Infrastruct. Res. 13, 201–220 (2013).
19. Brendel, A.B., Brennecke, J.T., Kolbe, L.M.: Applying Econophysics in the Context of Carsharing – Development of a Vehicle Relocation Algorithm and Decision Support System. Int. Conf. Inf. Syst. 39, 1–17 (2018).
20. Sonneberg, M.-O., Kuehne, K., Breitner, M.H.: A Decision Support System For The Optimization Of Car Sharing Stations. In: ICIS 2015 Proceedings (2015).
21. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MISQ. 28, 75–105 (2004).
22. Hevner, A.R.: A Three Cycle View of Design Science Research. Scand. J. Inf. Syst. 19, 87–92 (2007).
23. Gregor, S., Jones, D.: The anatomy of a design theory. J. Assoc. Inf. Syst. 8, 312–334 (2007).
24. Brendel, A.B., Brauer, B., Hildebrandt, B.: Toward User – Based Relocation Information Systems in Station-Based One-Way Car Sharing. In: AMCIS. pp. 1–10 (2016).
25. Rai, A.: Diversity of Design Science Research. MISQ. 41, iii–xviii (2017).
26. Gregor, S., Hevner, A.R.: Positioning and Presenting Design Science – Types of Knowledge in Design Science Research. MISQ. 37, 337–355 (2013).
27. Brendel, A.B., Rockenkamm, C., Kolbe, L.M.: Generating Rental Data for Car Sharing Relocation Simulations on the Example of Station-Based One-Way Car Sharing. In: HICSS. pp. 1–10 (2017).
28. Brendel, A.B., Lichtenberg, S., Brauer, B., Nastjuk, I., Kolbe, L.M.: Improving Electric Vehicle Utilization in Carsharing: A Framework and Simulation on an ECarsharing Vehicle Utilization Management System. Transp. Res. Part D. (2018).
29. Brendel, A.B., Lichtenberg, S., Nastjuk, I., Kolbe, L.: Adapting Carsharing Vehicle Relocation Strategies for Shared Autonomous Electric Vehicle Services. In: ICIS. pp. 1–20 (2017).
30. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, É.: Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 12, 2825–2830 (2011).
31. Burghard, U., Dütschke, E.: Who wants shared mobility? Lessons from early adopters and mainstream drivers on electric carsharing in Germany. Transp. Res. Part D Transp. Environ. 71, 96–109 (2019).
32. Nourinejad, M., Roorda, M.J.: A dynamic carsharing decision support system. Transp. Res. Part E Logist. Transp. Rev. 66, 36–50 (2014).

Most viewed articles

Meist angesehene Beiträge

GITO events | library.gito