Modelling car ownership in Great Britain

By G. Whelan. 2007

176 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Renewable Energy, Sustainability and the Environment, Transportation

View Paper: https://www.semanticscholar.org/paper/c6f9706a17daa76b646bca7534f7a0b7b784026c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Ioanna Ketsopoulou
2. L. Miranda-Moreno
3. Sabreena Anowar
4. Christian Brand
5. Naveen Eluru
6. Jillian Anable
7. N. Eyre
8. Martino Tran

In Renewable Energy, Sustainability and the Environment

1. Jillian Anable
2. Christian Brand
3. Martino Tran
4. Jim Watson
5. Ioanna Ketsopoulou
6. L. Miranda-Moreno
7. Sabreena Anowar
8. Naveen Eluru

In Transportation

1. Christian Brand
2. Sabreena Anowar
3. L. Miranda-Moreno
4. Martino Tran
5. Ioanna Ketsopoulou
6. Naveen Eluru
7. Jillian Anable
8. N. Eyre

Citations in the corpus

• Road to zero or road to nowhere? Disrupting transport and energy in a zero carbon world (2020, methodology): “5 Total car ownership is modelled based on established methods (DfT, 2013; Whelan, 2007) taking into account household income, average vehicle costs, household location (urban, rural) and car ownership saturation rates for multiple car ownership.”
• The UK transport carbon model: An integrated life cycle approach to explore low carbon futures (2012, methodology): “To populate and calibrate the stock model we used a number of sources, including car ownership data (Whelan, 2007), vehicle licensing (new, total) and vehicle age distributions (DfT, 2009b), vehicle purchase prices and O&M costs (Lane, 2006; SMMT, 2009), demographic (ONS, 2008) and macro-economic da”
• Modelling transport energy demand: A socio-technical approach (2012, methodology): “The TCM REF levels are based on assumptions contained in the car ownership module of the UK government’s National Transport Model (for details see ITS Leeds, 2001; Whelan, 2007), which imply a continued growth due to changes in income, household structure and license holding.”
• Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review (2014, methodology): “Whelan (2007) applied the hierarchical binary dogit model by introducing a market saturation term for each level of household car ownership which would account for the range of reasons for some households being unable to acquire a vehicle or add to their existing stock.”