Authors:
Christoph Prinz
;
Mathias Willnat
;
Tim-Benjamin Lembcke
and
Lutz Kolbe
Affiliation:
Chair of Information Management, University of Göttingen, Platz der Göttinger Sieben 5, Göttingen, Germany
Keyword(s):
Relocation Algorithm, Taxonomy, Cluster Analysis, Carsharing, Design Science.
Abstract:
Shared vehicle services like carsharing enable society to achieve a more favorable tradeoff between the societal cost and the individual benefits of physical mobility. To realize this value proposition, numerous carsharing types with unique constraints have emerged. A key challenge of making such offerings available, is the real time coordination of fleet supply tailored to short term customer demands. Researchers developed frameworks, algorithms, and decision support systems to address the corresponding vehicle relocation challenge on strategic, tactical, and operational level. However, subsequent vehicle relocation knowledge must be systematized to ensure that subsequent insights can be reused and further developed. Consequently, we develop a holistic taxonomy for vehicle relocation algorithms in carsharing, which contributes to current research by (1) providing consistent descriptions and analyses of vehicle relocation problems, solutions, and evaluation approaches, (2) identifyin
g archetypes of algorithm instances, and (3) guiding research to work on subsequent research gaps. As a result, we substantiate a resilient and validated relationship between vehicle relocation’s problem and solution space.
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