A Decision Support System for the Optimization of Electric Car Sharing Stations.

verfasst von

Marc Sonneberg, Michael H. Breitner

Abstract

Electric car sharing is a mobility alternative addressing the world's growing need for sustainability and allowing to reduce pollution, traffic congestion, and shortage of parking in cities. The positioning and sizing of car sharing stations are critical success factors for reaching many potential users. This represents a multi-dimensional challenge that requires decision makers to address the conflicting goals of fulfilling demands and maximizing profit. To provide decision support in anticipating optimal locations and to further achieve profitability, an optimization model in accordance to design science research principles is developed. The integration of the model into a decision support system (DSS) enables easy operability by providing a graphical user interface that helps the user import, edit, export, and visualize data. Solutions are illustrated, discussed, and evaluated using San Francisco as an application example. Results demonstrate the applicability of the DSS and indicate that profitable operation of electric car sharing is possible.

Organisationseinheit(en)

Institut für Wirtschaftsinformatik

Typ

Paper

Publikationsdatum

2015

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Angewandte Informatik, Statistik, Wahrscheinlichkeit und Ungewissheit, Bibliotheks- und Informationswissenschaften, Angewandte Mathematik

Ziele für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur, SDG 11 – Nachhaltige Städte und Gemeinschaften