ANALYSIS OF AUTOMOBILE OWNERSHIP BY USING A DIVISIVE HIERARCHICAL TECHNIQUE
A method of analysis of personal automobile ownership is presented that differs from the well-known aggregate and disaggregate methods. The analysis consists of two steps. First, a cluster-segmentation method is applied to data from the Dutch National Travel Survey. The results show that personal automobile ownership is mainly determined by personal net income, age, and sex. Second, a model has been specified that includes these factors. When income and age are accounted for, a structural difference in automobile ownership is shown between men and women. Furthermore, for the period studied (1979-1982) the results indicate that for the age group 65 and older, automobile ownership increased significantly, whereas for those 25 years and younger, it decreased. Advantages of the method are (a) the relative stability of the homogeneous population groups independent of accidental changes in the survey population and (b) insight into the relationship of automobile ownership with the most essential determining factors. Because of these advantages, the method presented can be used to improve both analysis and forecast of automobile ownership.
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Supplemental Notes:
- Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.
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Authors:
- Jager, Joke M
- Scheltes, Wim H
- Publication Date: 1985
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 66-72
- Monograph Title: Transportation demand analysis and issues in travel behavior
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Serial:
- Transportation Research Record
- Issue Number: 1037
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Age; Automobile ownership; Correlation analysis; Gender; Income; Statistical analysis
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Society; I10: Economics and Administration;
Filing Info
- Accession Number: 00458259
- Record Type: Publication
- ISBN: 0309039533
- Files: TRIS, TRB
- Created Date: Sep 30 1986 12:00AM