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doi:10.22028/D291-36576
Titel: | Designing a Crowd-Based Relocation System—The Case of Car-Sharing |
VerfasserIn: | Brendel, Alfred Benedikt Lichtenberg, Sascha Morana, Stefan Prinz, Christoph Hillmann, Boris M. |
Sprache: | Englisch |
Titel: | Sustainability |
Bandnummer: | 14 |
Heft: | 12 |
Verlag/Plattform: | MDPI |
Erscheinungsjahr: | 2022 |
Freie Schlagwörter: | sharing economy car-sharing supply and demand management vehicle relocation crowdsourcing green is/it design science |
DDC-Sachgruppe: | 330 Wirtschaft |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Car-sharing services promise environmentally sustainable and cost-efficient alternatives to private car ownership, contributing to more environmentally sustainable mobility. However, the challenge of balancing vehicle supply and demand needs to be addressed for further improvement of the service. Currently, employees must relocate vehicles from low-demand to high-demand areas, which generates extra personnel costs, driven kilometers, and emissions. This study takes a Design Science Research (DSR) approach to develop a new way of balancing the supply and demand of vehicles in car-sharing, namely crowd-based relocation. We base our approach on crowdsourcing, a concept by which customers are requested to perform vehicle relocations. This paper reports on our comprehensive DSR project on designing and instantiating a crowd-based relocation information system (CRIS). We assessed the resulting artifact in a car-sharing simulation and conducted a real world car-sharing service system field test. The evaluation reveals that CRIS has the potential for improving vehicle availability, increasing environmental sustainability, and reducing operational costs. Further, the prescriptive knowledge derived in our DSR project can be used as a starting point to improve individual parts of the CRIS and to extend its application beyond car-sharing into other sharing services, such as power bank- or e-scooter-sharing. |
DOI der Erstveröffentlichung: | 10.3390/su14127090 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-365763 hdl:20.500.11880/33228 http://dx.doi.org/10.22028/D291-36576 |
ISSN: | 2071-1050 |
Datum des Eintrags: | 24-Jun-2022 |
Fakultät: | HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft |
Fachrichtung: | HW - Wirtschaftswissenschaft |
Professur: | HW - Prof. Dr. Stefan Morana |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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sustainability-14-07090-v2.pdf | 8,15 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons