Estimating Personal Exposure to Air Pollution on School Journeys

Dr Duncan Whyatt and Gemma Davies

2007

Research

Geography

OS MasterMap

OS PROFILE (DTM)

Geosciences, Air Pollution Modelling, Environmental Science

Sources: Digimap

 

Dates/Editions: All available from Digimap.

 

Scale: Variable.

 

Publishing Institution

Department of Geography, Lancaster University

Summary

As part of a one year study aimed at gaining a deeper understanding of school journeys we are combining individual route data (derived from GPS) with modelled estimates of air pollution in a GIS environment.

Aims & Objectives

Our aim is to derive better estimates of personal exposure to air pollution based on the detailed integration of these data in time and space.

Methodology

The air pollution modelling focuses primarily on road sources of pollution. Road centre lines and road widths have been captured from OS MasterMap data and incorporated into the model. OS Profile DTM data has also been used to create a terrain file for the study area and to calculate gradients for selected road segments. Raster maps at a range of scales have also been used to provide context for the study as it has progressed.

Results/Outcome

Results show great variation in personal exposure to air pollution based on routes taken and mode/speed of travel. This research was published and can be downloaded here.

References & Acknowledgements

This work was funded by ESRC grant RES-000-22-2023.