Analysis of Determinants of Carsharing
|Autor:||Bc. Jakub Špiroch|
|Rok:||2019 - letní|
|Vedoucí:|| doc. PhDr. Julie Chytilová Ph.D.
|Typ práce:|| Bakalářská
|Abstrakt:||Shared economy is a phenomenon becoming more prevalent in our society. The
study explores the case of business-to-consumer (B2C) carsharing. Using a
unique cross-sectional data set, which is compiled by aggregating several cityspecific demographic and geographic factors, we construct several models which
should be explanatory on the characteristics of cities, where car sharing is active and successful. Firstly, a logistic regression is employed to estimate the
impact of predefined factors on the presence of B2C car sharing in a city. We
find out that there is significantly positive relationship between the presence
of prestigious university and active shared mobility platform. Furthermore, we
introduce the OLS regression with log-level functional form to estimate, what
determinants affect the quantity of cars in cities. Additionally, we provide
explanation on demographic and geographical variables, which have the most
defining impact on the prosperity of car-sharing. In conclusion, several suggestions on future research and studies based on carsharing success are presented.