Projects
Projects: Summary of Projects by RegionProjects in Region East of England involving Rand Europe : UG517 |
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| Reference Number | UG517 | |
| Title | Guidance on demand forecasting models for major public transport schemes | |
| Status | Completed | |
| Energy Categories | Energy Efficiency(Transport) 5%; Not Energy Related 95%; |
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| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENVIRONMENTAL SCIENCES (Geography and Environmental Studies) 25%; SOCIAL SCIENCES (Economics and Econometrics) 25%; SOCIAL SCIENCES (Town and Country Planning) 25%; PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 25%; |
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| UKERC Cross Cutting Characterisation | Systems Analysis related to energy R&D (Energy modelling) 25%; Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 75%; |
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| Principal Investigator |
Project Contact Rand Europe |
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| Award Type | Standard | |
| Funding Source | DfT | |
| Start Date | 13 January 2004 | |
| End Date | 12 July 2004 | |
| Duration | 6 months | |
| Total Grant Value | £74,340 | |
| Industrial Sectors | Transport | |
| Region | East of England | |
| Programme | DfT Local Transport and Regional | |
| Investigators | Principal Investigator | Project Contact , Rand Europe |
| Web Site | ||
| Objectives | The research will lead to guidance that will ensure that major public transport schemes are modelled on a consistent basis using best practice. The research will also enable the assessment of optimism bias in demand forecasts. To provice guidance on: the design and use of public transport forecasting models; the capabilities of public transport assignment models; and the design and use of mode choice models. | |
| Abstract | -Proposal of a range of specimen model structures appropriate to different types of public transport scheme in different cicumstances. -Comprehensive review of the algorithms employed in public transport assignment models and the modelling and analysis facilities offered. -Set out best practice in the design and estimation of mode choice models, including the level of demand segmentation, data collection, the model formulation, and the estimation of behavioural parameters. | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 21/01/08 | |
