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

authored by
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.

Organisation(s)
Institute of Computer Science for Business Administration
Type
Conference contribution
Pages
1500-1512
No. of pages
13
Publication date
2014
Publication status
Published
Peer reviewed
Yes
ASJC Scopus subject areas
Business and International Management, Management Information Systems, Computer Science Applications, Information Systems, Software
Sustainable Development Goals
SDG 9 - Industry, Innovation, and Infrastructure, SDG 11 - Sustainable Cities and Communities, SDG 12 - Responsible Consumption and Production