TY - CHAP U1 - Konferenzveröffentlichung A1 - Degele, Jutta A1 - Gorr, Anna A1 - Haas, Katja A1 - Kormann, Dimitri A1 - Krauss, Sascha A1 - Lipinski, Paulina A1 - Tenbih, Muhammet A1 - Koppenhöfer, Christine A1 - Fauser, Jan A1 - Hertweck, Dieter T1 - Identifying E-scooter sharing customer segments using clustering T2 - Conference proceedings ICE/IEEE ITMC : 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) : Stuttgart, 17.06. - 20.06.2018 N2 - Free-floating e-scooter sharing is an upcoming trend in mobility, which has been spreading since 2015 in various German cities. Unlike the more scientifically explorend car sharing, the usage patterns and behaviors of e-scooter sharing customers are yet to be analyzed. This presumably discovers better ways to attract customers as well as adaptions of the business model in order to increase scooter utilization and therefore the profit of the e-scooter providers. As most of the customer's journey, from registration to scooter reservation and the ride itself, is digitally traceable, large datasets are available allowing for understanding of customers' needs and motivations. Based on these datasets of an e-scooter provider operating in a big German city we propose a customer clustering that identifies four different customer segments, which enables multiple conclusions to be drawn for business development and improving the problem-solution fit of the e-scooter sharing model. KW - clustering KW - customer segments KW - business model KW - e-scooter sharing Y1 - 2018 SN - 978-1-5386-1469-3 SB - 978-1-5386-1469-3 U6 - https://doi.org/10.1109/ICE.2018.8436288 DO - https://doi.org/10.1109/ICE.2018.8436288 SP - 8 S1 - 8 PB - IEEE CY - Piscataway, NJ ER -