Abstract
 A GIS-Based Probabilistic Time-Activity Model for Exposure Assessment Track: Health and Human Services Author(s): Linda Beale, John Gulliver, David Briggs A probabilistic time-activity model has been constructed in a GIS to enhance existing time-activity data or simulate complete time-activity patterns at the individual level, as a basis for exposure modelling. Time-activity surveys typically contain information on the type of location (e.g., home or work) and occupancy times, but very rarely do they include detailed spatial data on journey routes. Journey exposures represent an important component of human exposure modelling with potentially important health effects. Combining probabilistic techniques with route modelling in GIS provides the opportunity to model individuals' paths through the environment. Journey and occupancy times are modelled on the basis of population distributions from existing time-activity surveys or national statistics. These individual-level routes, along with other fixed-site locations (e.g., homes), can then be intersected with maps of environmental hazards (e.g., air pollution, noise pollution, accident risks to road transport) to make population, or sub-population (e.g., schoolchildren), distributions of exposure. Linda Beale Imperial College London Department of Epidemiology and Public Health Upper Ground Floor, Praed Street, St Mary's Campus, Norfolk Place, Paddington London , null W2 1PG GB Phone: +44 (0)20 7594 3348 E-mail: l.beale@imperial.ac.uk John Gulliver Imperial College London Department of Epidemiology and Public Health Upper Ground Floor, Praed Street Wing, St Marys Campus, Norfolk Place, Paddington London W2 1PG GB Phone: 44(020)75943276 E-mail: j.gulliver@imperial.ac.uk David Briggs Imperial College London Department of Epidemiology and Public Health Upper Ground Floor, Praed Street Wing, St Mary's Campus, Norfolk Place, Paddington London W2 1PG GB Phone: 44(020)75943329 E-mail: d.briggs@imperial.ac.uk |
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