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Multi-agent social processes and water demand in southern England. TE Downing With C Warwick SEI Oxford Office S Moss B Edmunds O Barthelemy Centre for Policy Modelling. Two approaches. Scenarios and systems dynamics Stella model of water resource zone (CCDomestic)
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Multi-agent social processes and water demand in southern England TE Downing With C Warwick SEI Oxford Office S Moss B Edmunds O Barthelemy Centre for Policy Modelling
Two approaches • Scenarios and systems dynamics • Stella model of water resource zone (CCDomestic) • Average demand for population (l/h/d) • Forced by external scenarios of ownership-frequency of use-volume per use (OFV) • smooth, sylised trends, marginal effect of climate change • Agent-based social simulation • 100 households in social networks • Interactions with technology and policy advice to save water during a drought • bumpy pathways with discontinuities, wider range of climate change responses For details, see: Downing, TE et al. 2003. Climate change and demand for water. Final report of the CC:DeW Project. Oxford: SEI Oxford Office. www.sei.se/oxford/ccdew/
Foresight Scenarios ConventionalDevelopment
Scenarios and systems dynamics model Stylised reference projections (from EA)External forcing of OFVAggregate behaviour Climate change is added toreference projectionSystem/aggregate behaviour Smooth trends No surprises or discontinuities Relatively narrow range of future states Limited factors in (social) construction of risk
PolicyAgent • Ownership • Frequency • Volume Households Ground • Temperature • Rainfall • Sunshine Aggregate Demand ABM Demand structure
ABM: social behaviour and climate change Reference runs MH climate change Individual Social Neighbourhood sourcing: individual=30%, social=80%. All runs: 1973=100. Scenarios broadly correspond to EA reference scenarios: individual (alphaand beta); social (gamma and delta).
Two approaches Compared • Agent based: • Discontinuities • Large range of results • Branch points • Technology-climate interactions • Dynamic simulation: • Smooth scenarios • Modest range • Static trends in risks