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carsharing, free-floating carsharing, data evaluation, data analysis, forecasting
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BMW, SenStadt Um Berlin, Stadt München, Universität der Bundeswehr München, DLR, DB Rent
Abstract
The aim of the WiMobil project was to investigate the effects of car-sharing systems on mobility and the environment in urban areas. In detail, the station-based car-sharing system Flinkster was compared with the free-floating provider DriveNow using the cities of Berlin and Munich as examples. The main topics of interest here were how car-sharing affects mobility behavior, how the degree of user motorisation changes, how much leverage there is for electric vehicles and what framework conditions are necessary for e-car-sharing systems in order to achieve successful integration into the urban structure. In addition, a guideline was developed, which shows a possible influence of the municipalities.
Methods
In the scope of the project, several methods have been applied by the partners. The most relevant ones for my doctoral thesis, which was written as part of the project, are related to the evaluation of free-floating booking data. The methods comprise descriptive and exploratorive analyses, time-series analysis, multinomial regression as well as geo-statistical forecasting.
Results
The results were published in several scientific journal articles and presented at conferences. My doctoral thesis summarises some basic results of the accounting data analysis, while the project report gives an overview of the partners' overall work.