Economics at your fingertips  

Revenue Management Meets Carsharing: Optimizing the Daily Business

Justine Broihan (), Max Möller (), Kathrin Kühne (), Marc Sonneberg () and Michael Breitner ()
Additional contact information
Justine Broihan: Leibniz Universität Hannover
Max Möller: Leibniz Universität Hannover
Kathrin Kühne: Leibniz Universität Hannover
Marc Sonneberg: Leibniz Universität Hannover

A chapter in Operations Research Proceedings 2016, 2018, pp 421-427 from Springer

Abstract: Abstract Carsharing is a transportation alternative that enables flexible use of a vehicle instead of owning it by paying trip-dependent fees. In recent years, this service denotes a considerable increase of new providers, which face an exponentially growing number of customers worldwide. As a consequence, rising vehicle utilization leads providers to contemplate revenue management elements. When focusing on station-based carsharing concepts, these are typically based on advance reservations. This makes them perfectly suitable for the application of demand-side management approaches. Demand-side management allows providers to optimize their revenues by accepting or rejecting certain trips. We respectively develop an optimization model for revenue management support. Based on an existing model of the hotel business, special consideration is drawn to carsharing related features. For instance, the implementation of a heterogeneously powered fleet allows providers to choose a certain limit of emissions to fulfill local requirements. We implement the mathematical model into the modeling environment GAMS using the solver Couenne. Conducted benchmarks show sensitivities under the variation of different input values, for example risk tolerances. In contrast to the often used first-come first-serve-principle, the results indicate the usefulness of the developed model in optimizing revenues of todays carsharing providers.

Keywords: Revenue Management; Carsharing Provider; Demand-side Management Approaches; Solver Couenne; Hotel Business (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: Track citations by RSS feed

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This item can be ordered from

DOI: 10.1007/978-3-319-55702-1_56

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2023-07-12
Handle: RePEc:spr:oprchp:978-3-319-55702-1_56