Projects
Projects: Projects for Investigator |
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| Reference Number | UG224 | |
| Title | Vehicle market model (VMM): New car purchasing decisions | |
| Status | Completed | |
| Energy Categories | Energy Efficiency(Transport) 50%; Not Energy Related 50%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENVIRONMENTAL SCIENCES (Geography and Environmental Studies) 50%; ENGINEERING AND TECHNOLOGY (Mechanical, Aeronautical and Manufacturing Engineering) 50%; |
|
| UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D (Energy modelling) 50%; Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 25%; Sociological economical and environmental impact of energy (Technology acceptance) 25%; |
|
| Principal Investigator |
Project Contact No email address given University of Leeds |
|
| Award Type | Standard | |
| Funding Source | DfT | |
| Start Date | 30 April 1999 | |
| End Date | 30 May 2000 | |
| Duration | 13 months | |
| Total Grant Value | £53,000 | |
| Industrial Sectors | Transport | |
| Region | Yorkshire & Humberside | |
| Programme | DfT Cleaner fuels and vehicles | |
| Investigators | Principal Investigator | Project Contact , University of Leeds (100.000%) |
| Web Site | ||
| Objectives | The project objective is to develop a computer model that can be used to forecast the distribution of new car sales by engine size, fuel type, etc, per annum to 2031. This model will show how the distribution of new car sales reacts to changes in economic variables and policies. | |
| Abstract | The aim of the project was to improve the DTLR’s knowledge of the factors that influence people’s decisions when they buy new cars. There have been doubts about the way the Vehicle Market Model allocates new car sales and whether it sufficiently reflects the effects of income and other variables that could be important in determining purchasing decisions of new car buyers. This project undertook new research to improve on the understanding of how people make new car purchasing decisions, resulting in a more robust and policy sensitive model. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 21/12/07 | |
