Data · dataset · 2003
A Study on Vehicle Ownership and Use in the Household Sector
Listed in Harvard Dataverse
In this study, a model for the household decision on car/motorbike ownership and use is developed, estimated, and applied.
Description
The model takes car/motorbike both into account and is explicitly based on the microeconomic theory of consumer behavior, in which the fixed and variable car/motorbike costs are two main components of budget restriction. A kilometers of car(s), annual kilometers of motorbike(s), and other goods.
The probabilities of car/motorbike ownership are the derived and calculated by comparing direct and indirect utilities. A disaggregate data set at the level of individual households was obtained based on the household interviews conducted in Taichung city in 2000. Genetic Algorithm is applied to calibrate the parameters, and further carry out the impact of changes in variable car/motorbikes, fixed car/motorbike costs, household income, and combinations of these on the household car/motorbike ownership and use.
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The estimation results show that in the short-term, the range off income elasticity of mileage is 0.037~0.2, the variable costs elasticity of car mileage is -0.1, and the variable costs elasticity of motorbike mileage is -0.04. On the other hand, in the long-term, the range of elasticity of mileage is 0.03~0.36, the range of fixed cost elasticity is 0.003~0.16, the range of variable cost elasticity is 0.03~0.14. In general, the long-term income elasticity is greater than the variable cost elasticity and the fixed cost elasticity.
The policy analysis also indicates variable costs have more effects on reducing vehicle use. It is, therefore, a good direction for authorities to consider such strategies to improve transportation environment.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E90002-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e90002-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Automotive engineering 73%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E90002-1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4002 | enrichment · Harvard Dataverse | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |