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Analysing the demand for carsharing in Bergen : an empirical approach using car-specific and demographic data

Fang, Jinhua; Opedal, Eivind
Master thesis
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masterthesis.pdf (3.007Mb)
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https://hdl.handle.net/11250/2683764
Utgivelsesdato
2020
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  • Master Thesis [3748]
Sammendrag
Background: Car-sharing is gaining popularity throughout the world. Currently, there is

limited research on car-sharing in Norway. This paper aims to identify empirically, based on

past data, what demographic and car-specific variables determine demand for a car-sharing

service in Bergen. Additionally, it aims to predict future car performance for Bildeleringen’s

cars.

Research question: What are the drivers of demand for the utilization of a car-sharing

service?

Method: Using data from Bildeleringen and Statistics Norway, we use multiple linear

regression to determine drivers of demand. Furthermore, linear regression is also used for

predicting future car performance of Bildeleringen’s cars. Linear regression is chosen out of

five possible models based on cross-validation error. Results: Several variables significantly

increase or decrease car performance of Bildeleringen’s cars. The variables “car type”,

“higher average amount of cars in the parking spot”, “electric cars”, “cars with automatic

gear shift”, “higher median income”, “spring”, and “households without car” increase

performance, while “higher population density”, “age 20-24 years old”, “retired”, “male”,

and “child cushion” decrease performance. Analysis: Out of the significant demographic

variables, only “households without car”, “age 20-24 years old”, “retired” and “male” affect

car performance to a noteworthy degree. Out of the car-specific variables “car type”,

“electric cars”, “cars with automatic gear shift”, “spring”, and “child cushion” affect car

performance to a noteworthy degree. Conclusion: The relationship between car performance

and demographic variables is not strong. Car-specific variables seem to show a higher degree

of correspondence with car performance.

Key words: Car-sharing, car-sharing locations, car performance, linear regression,

demographic variables, car-specific variables, Norway.

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