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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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OriginalspracheEnglisch
Titel des SammelwerksTagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014
Herausgeber/-innenDennis Kundisch, Lars Beckmann, Leena Suhl
Seiten1500-1512
Seitenumfang13
ISBN (elektronisch)9783000453113
PublikationsstatusVeröffentlicht - 2014
VeranstaltungMultikonferenz Wirtschaftsinformatik, MKWI 2014 - Multi-Conference on Business Informatics, MKWI 2014 - Paderborn, Deutschland
Dauer: 26 Feb. 201428 Feb. 2014

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NameTagungsband 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.

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Car sharing in Zürich-optimization and evaluation of station location and size. / Olivotti, Daniel; Rickenberg, Tim A.; Breitner, Michael H.
Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014. Hrsg. / Dennis Kundisch; Lars Beckmann; Leena Suhl. 2014. S. 1500-1512 (Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Olivotti, D, Rickenberg, TA & Breitner, MH 2014, Car sharing in Zürich-optimization and evaluation of station location and size. in D Kundisch, L Beckmann & L Suhl (Hrsg.), Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014. Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014, S. 1500-1512, Multikonferenz Wirtschaftsinformatik, MKWI 2014 - Multi-Conference on Business Informatics, MKWI 2014, Paderborn, Deutschland, 26 Feb. 2014.
Olivotti, D., Rickenberg, T. A., & Breitner, M. H. (2014). Car sharing in Zürich-optimization and evaluation of station location and size. In D. Kundisch, L. Beckmann, & L. Suhl (Hrsg.), Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014 (S. 1500-1512). (Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014).
Olivotti D, Rickenberg TA, Breitner MH. Car sharing in Zürich-optimization and evaluation of station location and size. in Kundisch D, Beckmann L, Suhl L, Hrsg., Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014. 2014. S. 1500-1512. (Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014).
Olivotti, Daniel ; Rickenberg, Tim A. ; Breitner, Michael H. / Car sharing in Zürich-optimization and evaluation of station location and size. Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014. Hrsg. / Dennis Kundisch ; Lars Beckmann ; Leena Suhl. 2014. S. 1500-1512 (Tagungsband Multikonferenz Wirtschaftsinformatik 2014, MKWI 2014).
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title = "Car sharing in Z{\"u}rich-optimization and evaluation of station location and size",
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 Z{\"u}rich 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.",
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AU - Olivotti, Daniel

AU - Rickenberg, Tim A.

AU - Breitner, Michael H.

N1 - Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

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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.

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