Car sharing in Zürich-optimization and evaluation of station location and size

verfasst von

Daniel Olivotti, Tim A. Rickenberg, Michael H. Breitner

Abstract

Car sharing is a sustainable mobility concept which can help to reduce environmental pollution, traffic congestion, and shortage of parking spaces in cities. By sharing a vehicle sequentially, individuals can satisfy their mobility needs without owning their own car. Within this context, the location and accessibility of stations are critical success factors. We provide decision support for planning and managing a network of stations in order to minimize cost while satisfying total demand. Therefore, we created and evaluated an optimization model and the decision support system (DSS) OptCarShare 1.1 according to the design science research (DSR) principles. The DSS is able to import, export, and edit data, solve the numerical problem, and visualize the optimization results. We used the Swiss city of Zürich as an illustrative example to show the applicability of the artifacts and evaluate the results in detail. Further we created various patterns of stochastic demand for two different network densities.

Organisationseinheit(en)

Institut für Wirtschaftsinformatik

Typ

Aufsatz in Konferenzband

Seiten

1500-1512

Anzahl der Seiten

13

Publikationsdatum

2014

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Betriebswirtschaft und Internationales Management, Management-Informationssysteme, Angewandte Informatik, Information systems, Software

Ziele für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur, SDG 11 – Nachhaltige Städte und Gemeinschaften, SDG 12 – Verantwortungsvoller Konsum und Produktion