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Car fleet modelling: Data processing and discrete choice model estimation
KTH, School of Architecture and the Built Environment (ABE), Transport Science.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis deals with the modelling of the choice of new car based on the registration

data of the whole Sweden car fleet for 2005 to 2010. It is divided into two parts.

In the first part, to obtain the observations of new car choices for the discrete choice

modelling, a subset based on the first registration date of each car is extracted. Then, a

descriptive analysis based on the new car choice data is presented to find the variances

of the attributes for the modelling. Specifically, two major issues are paid attention to.

One is the change of market share of each car make in these years and the other is the

incremental demand of diesel and hybrid fuel cars.

The second part of the thesis deals with the discrete choice modelling. In order to

designate the alternatives, another dataset showing the new car supply in Sweden is introduced.

In the supply data, the alternatives are shown in the car version level, whereas

the registration data only contain the names of car models. Additionally, the supply data

also have some attributes that are unavailable in the registration, e.g. price. Thus, this

thesis presents various matching methods to match the supply and the registration to

define the alternatives for the modelling and also to obtain a higher precision of each

attribute than that in matching with model names only. Finally, we choose to match

the data by the same model name with the same maximum power, which is defined as

the “model-engine” level. Therefore, based on these model-engine level alternatives,

18 MNL models are estimated from 2005 to 2010, with 3 different ownerships, namely

private owned, company owned and company owned but leasing to its employee which

is named as “leasing users”. The results show the slump of the brand constants of Saab

among these years in private owners and leasing users due to the close-down crisis when

the coefficient of Volvo is fixed to zero. By contrast, the brand value of Kia for private

owners and the value of VW for leasing users go up. Meanwhile, this thesis analyses a

shift of car buyers’ attitude to the alternative fuel car from negative in 2006 to positive

in 2007 when a “clean car” compensation policy is implemented from Jan. 2007 to Jul.

2009. And in 2010, the coefficient of the alternative fuel remains positive. These results

indicate that this policy was quite successful.


Place, publisher, year, edition, pages
TSC-MT, 11-017
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-43719OAI: diva2:448580
Available from: 2011-10-17 Created: 2011-10-17 Last updated: 2011-10-17

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