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You'll Never Share Alone : Analyzing Carsharing User Group Behavior

Title data

Baumgarte, Felix ; Brandt, Tobias ; Keller, Robert ; Röhrich, Felix ; Schmidt, Lukas:
You'll Never Share Alone : Analyzing Carsharing User Group Behavior.
In: Transportation Research Part D: Transport and Environment. Vol. 93 (April 2021) . - No. 102754.
ISSN 1361-9209
DOI: https://doi.org/10.1016/j.trd.2021.102754

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI Customer Relationship ManagementNo information
Projektgruppe WI DigitalisierungNo information
Projektgruppe WI Nachhaltiges Energiemanagement & MobilitätNo information

Abstract in another language

The rapidly developing concept of carsharing is an essential and scalable part of sustainable, multimodal mobility in urban environments. There is a clear need for carsharing operators to understand their users and how they use different transportation modes to intensify the development of carsharing and its positive impacts on the environment and urban cohabitation. We foster this understanding by analyzing usage data of carsharing in a medium-sized German city. We compare user groups based on individual characteristics and their carsharing usage behavior. We focus on a station-based two-way carsharing scheme and its relation to free-floating carsharing. Based on different clustering and segmentation approaches, we defined 20 particularly interesting user groups among the carsharing users and analyzed noticeable usage patterns. Additionally, we examined these partially overlapping user groups in the spatial dimension. With these results, we support research and operators in understanding carsharing customers and assessing users’ individual behavior.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Carsharing; station-based; free-floating; urban environment; shared
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 30 Mar 2021 09:01
Last Modified: 21 Oct 2021 05:12
URI: https://eref.uni-bayreuth.de/id/eprint/64496