Highlights
Survey of free-floating carsharing users carried out in 11 European cities.
Each SHARE NOW car replaces up to 20 private cars.
The probability of selling private cars increases with kilometres by this service.
City-specific characteristics affect private car sales.
The car fleet was reduced due to free-floating carsharing in all cities.
Abstract. After years of focusing exclusively on the technological side of electric mobility (e-mobility), services are getting more and more in the focus of scientists. Many recent works concentrate on the identification and analysis of the potential of new business models in this field. Although the relevancy of services for the success of e-mobility is becoming more obvious among industry and science, there is still a lack in scientific contributions when asking for a comprehensive overview of existing e-mobility services. With this paper, we try to bridge this gap by providing a framework that enables the description and classification of services around the usage of an electric vehicle (EV). The framework captures six dimensions which allows to characterize and compare different services. This enables the identification of commonalities and differences between the services and provides an interdisciplinary playground for developing new services and further research in this field.
The objective of this research was to automatically extract user-generated repair instructions from large amounts of web data. An artifact has been created that classifies a web post as containing a repair instruction or not. Methods from Natural Language Processing are used to transform the unstructured textual information from a web post into a set of numerical features that can be further processed by different Machine Learning Algorithms. The main contribution of this research lies in the design and prototypical implementation of these features. The evaluation shows that the created artifact can accurately distinguish posts containing repair instructions from other posts e.g. containing problem reports. With such a solution, a company can save a lot of time and money that was previously necessary to perform this classification task manually.
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