Details of Grant 

EPSRC Reference:	GR/K64143/01
Title:	DEMAND SIDE MANAGEMENT OF URBAN RESOURCES: FINE GRAIN MODELLING FOR SUSTAINABLE STRATEGIES
Principal Investigator:	Parker, Professor D
Other Investigators:	Nelson, Professor JD Marvin, Dr S Guy, Professor S Marvin, Professor S
Researcher Co-Investigators:
Project Partners:	Pre Nexus Migration Smallworld Systems Ltd
Department:	Geomatics
Organisation:	Newcastle University
Scheme:	Standard Research (Pre-FEC)
Starts:	01 November 1995	Ends:	31 January 1998	Value (£):	166,105
EPSRC Research Topic Classifications:	Urban & Land Management
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:
Summary on Grant Application Form
Minimising environmentally damaging urban infrastructure development in cities depends on the ability of private utilities and public planners to balance demand with supply. Modelling demand to a sufficient resolution for demand management requires fine grain data at property unit level. Appropriate data is emerging with the introduction of GIS strategies in local authorities and utility companies but there is little evidence of the necessary coordination of data capture and modelling between private utilities and public authorities. This research will collate within a GIS a coarse grain spatial dataset of electricity and transportation infra-strucuture and general socio-economic and planning information for the City of Newcastle. Representative 'islands' (where electrocity supply and transportation are relatively self contained) will be identified and a property based data inventory and models of the electricity and transport networks developed. Together these will be employed to profile current and simulation possible future electricity and transport demands against a range of physical and behavioural network scenarios. Innovative engineering, behavioural and planning changes appropriate for DSM will be identified, tested and evaluated. Assessment will consider not only technical potential for a strategy but also its social acceptability and commercial desirability. The outcome will be DSM modelling procedures, data management practices and policies for sustainable management.
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Organisation Website:	http://www.ncl.ac.uk