Data on all carsharing companies in Germany. Data on the numbers of car and the geographical reach. Data on the companies (founding year, owners, partners, profit structure). Data on the service offered.
Own collection of data
Sample size 101 (101 companies)
IBM SPSS Statistics 25
51 variables
• Reference number
• BM type 4 clusters (P2P, B2C Roundtrip, B2C one-way, co-operative)
• Owner background: type incumbent, non-incumbent, co-operative
• Firm name
• Website
• Names of Cities the company is active in
• Number of cities the company is active in
• Number of Inhabitants in the cities the company is active in
• Number of cars supplied
• Cars per 1000capita
• Firm age in years
• Year of founding
• Trip Type
• Customer group B2C, B2B, hybrid
• booking mechanism
• minimum rental period in 3 categories
• geographical reach of membership
• Local or national membership
• Ownership of shared cars
• Fleet variety
• EVs in fleet
• Partners
o Transit company partner
o other CS firm partner
o airport/airline partner
o building association partner
o municipality partner
o utility partner
o city related partner (utility, municipality, building assoc)
o Rental company partner
o car dealer
o car related partners (dealer, rental)
• Types of partners (local/national)
• member in BCS (Carsharing partner)
• For profit or not for profit
• Owner
o rental company owner
o car manufacturer owner
o utility owner
o carsharing start up
o co-op owner
o Other owner
• Incumbent or non incumbent owner
• former field of incumbent
• Fee structure
o Registration fee
o Annual/monthly fee
o Minute fee
o hourly fee
o daily fee
o weekly fee
o Kilometer fee
o kilometer budget
o gas included
Article based on this data: Münzel, K., Boon, W., Frenken, K. et al. Inf Syst E-Bus Manage (2018) 16: 271. https://doi.org/10.1007/s10257-017-0355-x
