TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Hertweck, Dieter
A1  - Sigle, Natascha
A1  - Fauser, Jan
T1  - Data-based application scenarios for e-scooters
T2  - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume VIII-4/W1-2021 6th International Conference on Smart Data and Smart Cities, 15-17 September 2021, Stuttgart, Germany
N2  - In various German cities free-floating e-scooter sharing is an upcoming trend in e-mobility. Trends such as climate change, urbanization, demographic change, amongst others are arising and forces the society to develop new mobility solutions. Contrasting the more scientifically explored car sharing, the usage patterns and behaviors of e-scooter sharing customers still need to be analyzed. This presumably enables a better addressing of customers as well as adaptions of the business model to increase scooter utilization and therefore the profit of the e-scooter providers. The customer journey is digitally traceable from registration to scooter reservation and the ride itself. These data enable to identifies customer needs and motivations. We analyzed a dataset from 2017 to 2019 of an e-scooter sharing provider operating in a big German city. Based on the datasets we propose a customer clustering that identifies three different customer segments, enabling to draw multiple conclusions for the business development and improving the problem-solution fit of the e-scooter sharing model.
KW  - e-sccoter sharing
KW  - data mining
KW  - clustering
KW  - e-mobility
Y1  - 2021
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-35579
U6  - https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-41-2021
DO  - https://doi.org/10.5194/isprs-annals-VIII-4-W1-2021-41-2021
VL  - VIII
SP  - 41
EP  - 47
S1  - 7
PB  - International Society for Photogrammetry and Remote Sensing
CY  - Hannover
ER  -