Optimal Prepositioning and Fleet Sizing to Maximize Profits for One-Way Transportation Companies

Micha Kahlen, Thomas Y. Lee, Wolfgang Ketter, Alok Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Companies providing mobility solutions, such as Uber, Lyft and a host of short-term car rental companies, can generate value from information technology to track their vehicles location. Real-time decision making to act on this information is critical for the success of one-way mobility companies. We show how these companies can predict vehicle demand with high accuracy for vehicles across time and urban areas. We validate this model by tracking the movement and transactions of 1,100 vehicles from the carsharing service Car2Go in Berlin. With our model they could preposition vehicles to increase service levels with a smaller fleet. The accuracy of the model to predict demand area and times is a key contribution to urban mobility systems. Prepositioning vehicles based on expected demand and supply as modeled in our paper are vital to the business models of emerging transportation network companies like Uber and will be indispensable for autonomous vehicles.

Original languageEnglish (US)
Title of host publicationICIS 2017
Subtitle of host publicationTransforming Society with Digital Innovation
PublisherAssociation for Information Systems
StatePublished - Jan 1 2018
Event38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017 - Seoul, Korea, Republic of
Duration: Dec 10 2017Dec 13 2017

Other

Other38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017
CountryKorea, Republic of
CitySeoul
Period12/10/1712/13/17

Fingerprint

Profitability
Industry
Information technology
Railroad cars
Decision making

Keywords

  • Business value of IS/value of IS
  • Complex adaptive systems
  • Data mining
  • Decision Support Systems (DSS)
  • Forecasts
  • Green IT/IS
  • ICT artifact
  • Implications
  • Predictive modeling

Cite this

Kahlen, M., Lee, T. Y., Ketter, W., & Gupta, A. (2018). Optimal Prepositioning and Fleet Sizing to Maximize Profits for One-Way Transportation Companies. In ICIS 2017: Transforming Society with Digital Innovation Association for Information Systems.

Optimal Prepositioning and Fleet Sizing to Maximize Profits for One-Way Transportation Companies. / Kahlen, Micha; Lee, Thomas Y.; Ketter, Wolfgang; Gupta, Alok.

ICIS 2017: Transforming Society with Digital Innovation. Association for Information Systems, 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kahlen, M, Lee, TY, Ketter, W & Gupta, A 2018, Optimal Prepositioning and Fleet Sizing to Maximize Profits for One-Way Transportation Companies. in ICIS 2017: Transforming Society with Digital Innovation. Association for Information Systems, 38th International Conference on Information Systems: Transforming Society with Digital Innovation, ICIS 2017, Seoul, Korea, Republic of, 12/10/17.
Kahlen M, Lee TY, Ketter W, Gupta A. Optimal Prepositioning and Fleet Sizing to Maximize Profits for One-Way Transportation Companies. In ICIS 2017: Transforming Society with Digital Innovation. Association for Information Systems. 2018
Kahlen, Micha ; Lee, Thomas Y. ; Ketter, Wolfgang ; Gupta, Alok. / Optimal Prepositioning and Fleet Sizing to Maximize Profits for One-Way Transportation Companies. ICIS 2017: Transforming Society with Digital Innovation. Association for Information Systems, 2018.
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