Details
| Original language | English |
|---|---|
| Title of host publication | Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014 |
| Editors | Dennis Kundisch, Lars Beckmann, Leena Suhl |
| Pages | 1500-1512 |
| Number of pages | 13 |
| ISBN (electronic) | 9783000453113 |
| Publication status | Published - 2014 |
| Event | Multikonferenz Wirtschaftsinformatik, MKWI 2014 - Multi-Conference on Business Informatics, MKWI 2014 - Paderborn, Germany Duration: 26 Feb 2014 → 28 Feb 2014 |
Publication series
| Name | Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014 |
|---|
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.
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Business and International Management
- Business, Management and Accounting(all)
- Management Information Systems
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Software
Sustainable Development Goals
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Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014. ed. / Dennis Kundisch; Lars Beckmann; Leena Suhl. 2014. p. 1500-1512 (Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Car sharing in Zürich-optimization and evaluation of station location and size
AU - Olivotti, Daniel
AU - Rickenberg, Tim A.
AU - Breitner, Michael H.
N1 - Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84984704749&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84984704749
T3 - Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014
SP - 1500
EP - 1512
BT - Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014
A2 - Kundisch, Dennis
A2 - Beckmann, Lars
A2 - Suhl, Leena
T2 - Multikonferenz Wirtschaftsinformatik, MKWI 2014 - Multi-Conference on Business Informatics, MKWI 2014
Y2 - 26 February 2014 through 28 February 2014
ER -