Classification of automobiles into homogeneous groups is often required for modelling the choice between and demand for automobile types as well as assessing the energy consumption implications of changes over time in the composition of the vehicle stock. Automobiles can be grouped on technological criteria (supply side) and/or behavioural criteria (demand side), the selection of an approach being dependent on the purpose in hand. We propose and outline a method to classify vehicles in a systematic manner. Using a new data set of 827 representative vehicles and over 200 attributes, automobiles are grouped using component score and cluster analyses. Especial consideration is given to the appropriate index of similarity between pairs of attributes where the measurement scales are different. The results provide two sets of groupings of automobiles, one suitable for choice modelling and the other for monitoring trends in energy consumption.


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    Title :

    Automobile classification for choice and demand modelling


    Contributors:

    Published in:

    Transport Reviews ; 4 , 3 ; 245-271


    Publication date :

    1984-07-01


    Size :

    27 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown