Due to enormous growth rates during the last couple of years CarSharing has become an interesting field of research. This Master Thesis focuses on the analysis of CarSharing users. For this purpose more than 37.000 participants of the "Große SrV-Vergleichsstädte"-Survey were taken into account. After a short literature review and some general information about the statistical methods, the thesis tries to work out some major characteristics of the typical CarSharing user. It will be shown, that a high income and a young age are of central importance. Also when analysing other variables different user quotas are observed, but can mostly be explained with different age or income levels. At the end a binary logit model is sugested to differ between users and non users, by using the previous analysed observed characteristics as input.

Due to enormous growth rates during the last couple of years CarSharing has become an interesting field of research. This Master Thesis focuses on the analysis of CarSharing users. For this purpose more than 37.000 participants of the "Große SrV-Vergleichsstädte"-Survey were taken into account. After a short literature review and some general information about the statistical methods, the thesis tries to work out some major characteristics of the typical CarSharing user. It will be shown, that a high income and a young age are of central importance. Also when analysing other variables different user quotas are observed, but can mostly be explained with different age or income levels. At the end a binary logit model is sugested to differ between users and non users, by using the previous analysed observed characteristics as input.:Inhalt Tabellenverzeichnis iii Abbildungsverzeichnis v 1 Einleitung 1 2 Literaturüberblick 3 3 Methodische Grundlagen 7 3.1 Korrigierter Kontingenzkoeffizient nach Karl Pearson 7 3.2 Kolmogorov-Smirnov-Test 8 3.3 Logistische Regression 9 4 Vorbetrachtungen 12 4.1 Datenaufbereitung 12 4.2 Vergleich von tatsächlichen Nutzern und angemeldeten Personen 13 5 Der Typische CarSharing-Nutzer 17 5.1 Alter 17 5.2 Einkommen 22 5.3 Haushaltsgröße 27 5.4 PKW-Verfügbarkeit 36 5.6 Höchste Berufsausbildung 42 5.7 Zusammenfassung 45 6 Logistische Regression 46 7 Fazit 53 Anhang I Literaturverzeichnis III Ehrenwörtliche Erklärung V