Advertisement

Carsharing - ein neues Verkehrssystem!

Integration von freefloating und stationsgebunden Carsharing‐Konzepten in die gesamtstädtische Verkehrsplanung
  • Martin Kagerbauer
  • M. Heilig
  • N. Mallig
  • P. Vortisch
Chapter

Zusammenfassung

Die Bedeutung von Carsharing als Verkehrsmittel nimmt zu. Insbesondere in großstädischen Bereichen ist Carsharing Teil der städtischen Mobilität, Tendenz steigend. In Deutschland ist die Anzahl an Carsharing-Nutzern und der in den Carsharing-Systemen angebotenen Fahrzeuge in den letzten Jahren stetig gestiegen und Prognosen bestätigen diesen Trend.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  1. [1] Bundesverband CarsSharing e.V. (2015). Datenblatt CarSharing in Deutschland.Google Scholar
  2. [2] Katsev, Richard, Brook, David and Nice, Matthew (2001). The effects of car sharing on travel behaviour: analysis of CarSharing Portland’s first year. World transport policy & practice, Volume 7 (Number 1), pp. 20-26.Google Scholar
  3. [3] Mallig, N., Kagerbauer, M. and Vortisch, P. (2013). mobiTopp–A Modular Agent-based Travel Demand Modelling Framework.Procedia Computer Science, Vol. 19, pp. 854-859.Google Scholar
  4. [4] Nobis, C. (2006). Car Sharing as a Key Contribution to Multimodal and Sustainable Mobility Behavior – the Situation of Car Sharing in Germany. In Transportation Record B. (Hrsg.), Transportation Record Board 2006 Annual Meeting. Washington D.C..Google Scholar
  5. [5] Shaheen, S. A., Cohen, A. P. and Chung, M. S. (2009). North American Carsharing - 10-Year Retrospective. Transportation Research record: Journal of the Transportation Research Board, Vol. 2009, pp. 35-44.Google Scholar
  6. [6] Barth, M., Shaheen, S., Fukuda, T. and Fukuda, A. (2006). Carsharing and Station Carsin Asia: An Overview of Japan and Singapore. Transportation Research Board 82nd Annual Meeting. Washington D.C..Google Scholar
  7. [7] Petersen, M. Ökonomische Analyse des Car-Sharing. Gabler-Verlag, Wiesbaden, 1995.Google Scholar
  8. [8] Prettenthaler, F. and Steininger, K. From ownership to service use lifestyle: the potential of car sharing.Ecological Economics, Vol. 28, 1999, pp. 443 - 453.Google Scholar
  9. [9] Schuster, T., Byrne, J., Corbett, J. and Schreuder, Y. Assessing the Potential Extent of Carsharing - A New Method and Its Implications.Transportation Research Record: Journal of the Transportation Research Board, Vol. No. 1927, 2005, pp. 174 - 181.Google Scholar
  10. [10] Ciari, Francesco and Weis, Claude (2013). Carsharing membership in Switzerland: modeling the influence of socio-demographics and accessibility. (E. Z. IVT Hrsg.) Arbeitsberichte Verkehrs- und Raumplanung, 886pp..Google Scholar
  11. Rodier, C. and Shaheen, S. (2004). Carsharing and Carfree Housing: Predicted Travel, Emission, and Economic Benefits. In Transportattion Research B. (Hrsg.), Transportation Research Board 2004. Washington D.C..Google Scholar
  12. [11] Ciari, F., Balmer, M. and Axhausen, K. (2009). Concepts for a large scale car-sharing system: Modeling and evaluation with an agent-based approach. In Transportation Research B. (Hrsg.), Transportation Research Board 88th Annual Meeting. S. 23.Google Scholar
  13. [12] Ciari, F., Schuessler, N. and Axhausen, K. Estimation of Car-Sharing Demand Using an Activity-Based Microsimulation Approach: Model Discussion and Preliminary Results. 90th Annual Meeting of the Transportation Research Board. Washington D.C., 2011Google Scholar
  14. [13] Ciari, F., Bock, B. and Balmer, M. (2014). Modeling Station-based and free-floating carsharing demand: A test case study for Berlin, Germany. In Transportation Research B. (Hrsg.), Transportation Research Board 93rd Annual Meeting. Washington D.C..Google Scholar
  15. [14] Kagerbauer, M., Mallig, N., Vortisch, P. and Pfeiffer, M. (2014). Modellierung von Variabilität und Stabilität des Verkehrsverhaltens im Längsschnitt mit Hilfe der Multi-Agenten- Simulation mobiTopp. In Tagungsband Heureka 14. FGSV Verlag GmbH, Köln.Google Scholar
  16. [15] Bonabeau, E. Agent-based modeling: Methods and techniques for simulating human systems.Proceedings of the National Academy of Sciences of the United States of America, Vol. 99, 2002, pp. 7280-7287.Google Scholar
  17. [16] Müller, K. and Axhausen, K. W. (2011). Hierarchical IPF: Generating a synthetic population. In ERSA Conference papers. European Regional Science Association.Google Scholar
  18. [17] Verband Region Stuttgart Mobilität und Verkehr in der Region Stuttgart 2009/2010. Verband Region Stuttgart, 2011.Google Scholar
  19. [18] ADAC Elektroautos: Marktübersicht/Kenndaten, Stand: 01-2014. 2014.Google Scholar

Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  • Martin Kagerbauer
    • 1
  • M. Heilig
    • 1
  • N. Mallig
    • 1
  • P. Vortisch
    • 1
  1. 1.Institut für Verkehrswesen IfVKarlsruher Institut für Technologie (KIT)KarlsruheDeutschland

Personalised recommendations