The quest towards resolving concerns about transportation energy consumption
and emissions across nations has created more interests to investigate factors
responsible for households’ car ownership. While literature holds an extensive
body of investigation usually compartmentalised in individual different
disciplines, limited efforts have been made to promote inter-linkages of this
strand of research across different disciplines. To fill this gap, this study
developed an integrating Multinomial logit (MNL) model to examine the impact of
some rarely-investigated and conventional explanatory variables, including:
ethnicity, accommodation tenure, settlement nature, mental belief,
environmental concern, geographical regions, household structure, driving
licence, number of household income earners and household income, on car
ownership.
Analysis based on rich data sets of British Household Survey and US Consumer
Expenditure Survey found not only the conventional explanatory variables to be
significantly linked to the number of cars in the US and UK households, but also
the rarely-investigated psychological variables were found to be significantly
linked as well. As Socio-demography, Geography and Psychology impact on
how people and households process information and assess market offers (e.g.,
products and services), this study presents findings which have beneficial implications for policymakers and transportations planners, including those who
would like to alter people’s behaviour from private car ownership to public
transportation use, car sellers in terms of how to identify and reach potential
customers, provision of alternative forecasting approaches to car ownership
scholars as well as possible consideration for general car ownership decision
making. Caution should be taken when interpreting the relationship between
psychological factors and car ownership since the psychological factors adopted
are measure representatives from databases used with limitations in the factor
structure for a representative sample of the countries’ population.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/19255 |
| Date | January 2021 |
| Creators | Lawal, Temitope A. |
| Contributors | Akbar, Saeed, Baimbridge, Mark |
| Publisher | University of Bradford, Accounting, Finance and Economics Research Centre, Faculty of Management , Law and Social Sciences |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Thesis, doctoral, PhD |
| Rights | <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>. |
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