Skip to main content
SpringerLink
Log in

Mobility on-demand: Kategorisierung von Informations- und Assistenzsystemen

  • Chapter
  • First Online:
Innovative Produkte und Dienstleistungen in der Mobilität

  • 12k Accesses

Zusammenfassung

Die Nutzung und das Verständnis von Mobilität haben sich gewandelt. Immer mehr wird Mobilität als ein on‐demand Service (Mobility on‐demand – Mod) verstanden [1]. Vor allem junge Menschen wollen und besitzen keine eignen Autos mehr, sondern verwenden stattdessen eine Kombination aus verschiedenen Mobilitätsangeboten [2]. Diese steigende Nachfrage nach flexiblen Mobilitätsangeboten wird flankiert durch den Trend der zunehmenden Urbanisierung.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  • [1] KPMG, “Which companies will survive the digital revolution?,” 2014.

    Google Scholar 

  • [2] T. Kuhnimhof, I. Feige, and F. Hansen, “Mobilität junger Menschen im Wandel – multimodaler und weiblicher,” pp. 1–32, 2011.

    Google Scholar 

  • [3] Un, “World Urbanization Prospects The 2007 Revision Highlights,” New York, vol. ESA/P/WP/2, no. 4, p. 883, 2007.

    Google Scholar 

  • [4] M. Pavone, S. L. Smith, E. Frazzoli, and D. Rus, “Robotic load balancing for mobility‐ondemand systems,” Int. J. Rob. Res., vol. 31, no. 7, pp. 839–854, 2012.

    Google Scholar 

  • [5] B. Nykvist and L. Whitmarsh, “A multi‐level analysis of sustainable mobility transitions: Niche development in the UK and Sweden,” Technol. Forecast. Soc. Change, vol. 75, no. 9, pp. 1373–1387, 2008.

    Google Scholar 

  • [6] B. Hildebrandt, A. Hanelt, T. Nierobisch, E. Piccinini, L. Kolbe, and T. Nierobisch, “The Value of IS in Business Model Innovation for Sustainable Mobility Services ‐ The Case of Carsharing,” 12th Int. Conf. Wirtschaftsinformatik (WI 2015), pp. 1008–1022, 2015.

    Google Scholar 

  • [7] J.‐O. Schröder, C. Weiß, M. Kagerbauer, N. Reiß, C. Reuter, R. Schürmann, and S. Pfisterer, “Developing and Evaluating Intermodal E‐Sharing Services–A Multi‐method Approach,” Transp. Res. Procedia, vol. 4, pp. 199–212, 2014.

    Google Scholar 

  • [8] J. Webster and R. Watson, “Analyzing the Past to Prepare for the Future: Writing a Literature Review,” MIS Q., vol. 26, no. 2, 2002.

    Google Scholar 

  • [9] Y. Levy and T. Ellis, “A Systems Approach to Conduct an Effective Literature Review in Support of Information Systems Research,” Informing Sci., vol. 9, pp. 181–212, 2006.

    Google Scholar 

  • [10] J. Vom Brocke, A. Simons, B. Niehaves, K. Riemer, R. Plattfaut, A. Cleven, J. Von Brocke, and K. Reimer, “Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process,” 17th Eur. Conf. Inf. Syst., pp. 2206–2217, 2009.

    Google Scholar 

  • [11] P. B. Seddon, S. Staples, R. Patnayakuni, and M. Bowtell, “Dimensions of Information Systems Success,” Commun. AIS, vol. 2, no. 20, 1999.

    Google Scholar 

  • [12] P. Palvia, D. Leary, E. Mao, V. Midha, P. Pinjani, and A. F. Salam, “Research Methodologies in MIS: An Update,” Commun. AIS, vol. 14, no. 1, pp. 526–542, 2004.

    Google Scholar 

  • [13] J. D. Nelson, S. Wright, B. Masson, G. Ambrosino, and A. Naniopoulos, “Recent developments in Flexible Transport Services,” Res. Transp. Econ., vol. 29, no. 1, pp. 243–248, 2010.

    Google Scholar 

  • [14] S. N. Parragh, K. F. Doerner, and R. F. Hartl, “Variable Neighborhood Search for the Dial‐a‐Ride Problem,” Comput. Oper. Res., vol. 37, no. 6, pp. 1129–1138, 2010.

    Google Scholar 

  • [15] J. M. Su and C. H. Chang, “The Multimodal Trip Planning System of Intercity Transportation in Taiwan,” Expert Syst. Appl., vol. 37, no. 10, pp. 6850–6861, 2010.

    Google Scholar 

  • [16] P. Carotenuto, A. Serebriany, and G. Storchi, “Flexible Services for People Transportation: A Simulation Model in a Discrete Events Environment,” in Procedia ‐ Social and Behavioral Sciences, 2011, vol. 20, pp. 846–855.

    Google Scholar 

  • [17] C. D’Alessandro, P. C. Trucco, C. D'Alessandro, and P. C. Trucco, “Business potential and market opportunities of intelligent LBSs for personal mobility ‐ A European case study,” Procedia Comput. Sci., vol. 5, pp. 906–911, 2011.

    Google Scholar 

  • [18] Y. Kergosien, C. Lenté, D. Piton, and J. C. Billaut, “A Tabu Search Heuristic for the Dynamic Transportation of Patients between Care Units,” Eur. J. Oper. Res., vol. 214, no. 2, pp. 442–452, 2011.

    Google Scholar 

  • [19] J. Lee, J. Nah, Y. Park, and V. Sugumaran, “Electric Car Sharing Service Using Mobile Technology,” CONF‐IRM Proc., 2011.

    Google Scholar 

  • [20] J. Zhang, F. Liao, T. Arentze, and H. Timmermans, “A Multimodal Transport Network Model for Advanced Traveler Information Systems,” in Procedia Computer Science, 2011, vol. 5, pp. 313–322.

    Google Scholar 

  • [21] A. El Fassi, A. Awasthi, and M. Viviani, “Evaluation of carsharing network’s growth strategies through discrete event simulation,” Expert Syst. Appl., vol. 39, no. 8, pp. 6692–6705, 2012.

    Google Scholar 

  • [22] N. R. Velaga, M. Beecroft, J. D. Nelson, D. Corsar, and P. Edwards, “Transport Poverty Meets the Digital Divide: Accessibility and Connectivity in Rural Communities,” J. Transp. Geogr., vol. 21, no. 1, pp. 102–112, 2012.

    Google Scholar 

  • [23] N. R. Velaga, N. D. Rotstein, N. Oren, J. D. Nelson, T. J. Norman, and S. Wright, “Development of an Integrated Flexible Transport Systems Platform for Rural Areas Using Argumentation Theory,” Res. Transp. Bus. Manag., vol. 3, no. 1, pp. 62–70, 2012.

    Google Scholar 

  • [24] X. Bin, C. Xiaohong, L. Hangfei, and Y. Chao, “Decision Oriented Intelligent Transport Information Platform Design Research – Case study of Hangzhou City,” in Procedia ‐ Social and Behavioral Sciences, 2013, vol. 96, pp. 2230–2239.

    Google Scholar 

  • [25] A. Coppi, P. Detti, and J. Raffaelli, “A Planning and Routing Model for Patient Transportation in Health Care,” Electron. Notes Discret. Math., vol. 41, no. 1, pp. 125–132, 2013.

    Google Scholar 

  • [26] H. Dong and F. K. Hussain, “Service‐requester‐centered service selection and ranking model for digital transportation ecosystems,” Computing, vol. 97, no. 1, pp. 79–102, 2013.

    Google Scholar 

  • [27] M. R. Martínez‐Torres, M. C. Díaz‐Fernández, S. L. Toral, and F. J. Barrero, “Identification of new added value services on intelligent transportation systems,” Behav. Inf. Technol., vol. 32, no. 3, pp. 307–320, 2013.

    Google Scholar 

  • [28] N. Masuch, L. Marco, and J. Keiser, “An Open Extensible Platform for Intermodal Mobility Assistance $,” in Procedia Computer Science, 2013, vol. 19, pp. 396–403.

    Google Scholar 

  • [29] J. D. Nelson and C. Mulley, “The Impact of the Application of New Technology on Public Transport Service Provision and the Passenger Experience: A Focus on Implementation in Australia,” Res. Transp. Econ., vol. 39, no. 1, pp. 300–308, 2013.

    Google Scholar 

  • [30] J. O. Olusina and J. B. Olaleye, “Transaction‐Based Intelligent Transportation System (TBITS) Using Stochastic User Utility Model,” Trans. GIS, vol. 17, no. 1, pp. 109–123, 2013.

    Google Scholar 

  • [31] T. Rickenberg, A. Gebhardt, and M. H. Breitner, “A Decision Support System for the Optimization of Car‐Sharing Stations,” ECIS 2013 Proc., p. Paper 238, 2013.

    Google Scholar 

  • [32] Q. Runhua, C. Hua, Z. Ruiling, and L. I. Yuanxing, “Design Scheme of Public Transport Comprehensive Dispatching MIS based on MAS,” in Procedia ‐ Social and Behavioral Sciences, 2013, vol. 96, pp. 1063–1068.

    Google Scholar 

  • [33] T. Vidal, T. G. Crainic, M. Gendreau, and C. Prins, “Heuristics for Multi‐Attribute Vehicle Routing Problems: A Survey and Synthesis,” European Journal of Operational Research, vol. 231, no. 1. pp. 1–21, 2013.

    Google Scholar 

  • [34] S. Xinghao, T. Jing, C. Guojun, and S. Qichong, “Predicting Bus Real‐time Travel Time Basing on both GPS and RFID Data,” in Proceedings of the 13th COTA International Conference of Transportation Professionals (CICTP 2013), 2013, pp. 2287–2299.

    Google Scholar 

  • [35] F. Xu, Y. Du, and L. Sun, “A Framework for Ongoing Performance Monitoring of Bus Lane System,” in Proceedings of the 13th COTA International Conference of Transportation Professionals (CICTP 2013), 2013, pp. 175–181.

    Google Scholar 

  • [36] D. Atmani, J.‐P. Lebacque, N. Bhouri, and H. Haj‐Salem, “Dynamic Assignment with User Information in Multimodal Networks,” in Transportation Research Procedia, 2014, vol. 3, pp. 895–904.

    Google Scholar 

  • [37] M. Čertický, M. Jakob, R. Píbil, and Z. Moler, “Agent‐based simulation testbed for ondemand mobility services,” Procedia Comput. Sci., vol. 32, pp. 808–815, 2014.

    Google Scholar 

  • [38] S. G. Dacko and C. Spalteholz, “Upgrading the city: Enabling intermodal travel behaviour,” Technol. Forecast. Soc. Change, vol. 89, pp. 222–235, 2014.

    Google Scholar 

  • [39] F. Guerriero, F. Pezzella, O. Pisacane, and L. Trollini, “Multi‐Objective Optimization in Dial‐a‐Ride Public Transportation,” in Transportation Research Procedia, 2014, vol. 3, pp. 299–308.

    Google Scholar 

  • [40] K. Saliara, “Public Transport Integration: The Case Study of Thessaloniki, Greece,” in Transportation Research Procedia, 2014, vol. 4, pp. 535–552.

    Google Scholar 

  • [41] S. Wagner, T. Brandt, M. Kleinknecht, and D. Neumann, “In Free‐Float: How Decision Analytics Paves the Way for the Carsharing Revolution,” ICIS 2014 Proc., pp. 1–17, 2014.

    Google Scholar 

  • [42] A. Alessandrini, A. Campagna, P. D. Site, F. Filippi, and L. Persia, “Automated Vehicles and the Rethinking of Mobility and Cities,” Transp. Res. Procedia, vol. 5, pp. 145–160, 2015.

    Google Scholar 

  • [43] G. Ambrosino, B. Finn, S. Gini, and L. Mussone, “A method to assess and plan applications of ITS technology in Public Transport services with reference to some possible case studies,” Case Stud. Transp. Policy, vol. 3, no. 4, pp. 421–430, 2015.

    Google Scholar 

  • [44] B. Atasoy, T. Ikeda, X. Song, and M. E. Ben‐Akiva, “The Concept and Impact Analysis of a Flexible Mobility on Demand System,” Transp. Res. Part C Emerg. Technol., vol. 56, no. 1, pp. 373–392, 2015.

    Google Scholar 

  • [45] M. Bruglieri, F. Bruschi, A. Colorni, A. Luè, R. Nocerino, and V. Rana, “A Real‐time Information System for Public Transport in Case of Delays and Service Disruptions,” Transp. Res. Procedia, vol. 10, no. July, pp. 493–502, 2015.

    Google Scholar 

  • [46] O. Dib, M.‐A. Manier, and A. Caminada, “Memetic Algorithm for Computing Shortest Paths in Multimodal Transportation Networks,” in Transportation Research Procedia, 2015, vol. 10, pp. 745–755.

    Google Scholar 

  • [47] Ł. Owczarzak and J. Żak, “Design of Passenger Public Transportation Solutions Based on Autonomous Vehicles and Their Multiple Criteria Comparison with Traditional Forms of Passenger Transportation,” in Transportation Research Procedia, 2015, vol. 10, pp. 472–482.

    Google Scholar 

  • [48] K. Saeed and F. Kurauchi, “Enhancing the Service Quality of Transit Systems in Rural Areas by Flexible Transport Services,” in Transportation Research Procedia, 2015, vol. 10, pp. 514–523.

    Google Scholar 

  • [49] R. Seign, M. Schüßler, and K. Bogenberger, “Enabling sustainable transportation: The model‐based determination of business/operating areas of free‐floating carsharing systems,” Res. Transp. Econ., vol. 51, pp. 104–114, 2015.

    Google Scholar 

  • [50] T. Teubner and C. M. Flath, “The Economics of Multi‐Hop Ride Sharing,” Bus. Inf. Syst. Eng., vol. 57, no. 5, pp. 311–324, 2015.

    Google Scholar 

  • [51] S. Wagner, C. Willing, T. Brandt, and D. Neumann, “Data Analytics for Location‐Based Services: Enabling User‐Based Relocation of Carsharing Vehicles,” ICIS, vol. 3, no. 5, pp. 279–287, 2015.

    Google Scholar 

  • [52] R. Zhang and M. Pavone, “Control of robotic mobility‐on‐demand systems: A queueingtheoretical perspective,” Int. J. Rob. Res., vol. 35, no. 1–3, pp. 186–203, 2016.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Informationsmanagement, Universität Göttingen, Humboldtallee 3, 37073, Göttingen, Deutschland

    A. B. Brendel

Authors
  1. A. B. Brendel
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. B. Brendel .

Editor information

Editors and Affiliations

  1. Universität Duisburg-Essen , Duisburg, Germany

    Heike Proff

  2. Universität Duisburg-Essen , Duisburg, Germany

    Thomas Martin Fojcik

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Fachmedien Wiesbaden GmbH

About this chapter

Cite this chapter

Brendel, A.B. (2017). Mobility on-demand: Kategorisierung von Informations- und Assistenzsystemen. In: Proff, H., Fojcik, T. (eds) Innovative Produkte und Dienstleistungen in der Mobilität. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-18613-5_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-18613-5_24

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-18612-8

  • Online ISBN: 978-3-658-18613-5

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics

Search

Navigation