Noise is an under-studied environmental pollutant with potentially important implications for public health and policy. Exposure to environmental noise is ubiquitous and increasing in terms of road traffic noise and the reduction of the night time quiet period. High levels of exposure to road traffic noise have been associated with increased risk for cardiovascular conditions and risk factors including hypertension, but results have not been consistent across population groups.
We model road, rail and aircraft related noise exposure using GIS-based models.
Metahit (MEthods and Tools for Assessing the Health Impacts of Transport: modelling study) is funded by the Medical Research Council. We lead a work package to develop a method to model road traffic and transport related noise exposure for major and minor roads in England. This includes developing a method on how changes in motorised transport would change levels of noise exposure.
This Medical Research Council funded study aims to conduct the first comprehensive assessment of cardiovascular (CVD) impacts of aircraft noise near major airports in the UK. We are providing GIS support for integrating aircraft noise contours and then estimating residential noise exposure. We are also applying our noise model to provide information on road traffic exposures as a covariate in the study.
RISTANCO (Reduced noise Impacts on Short-Term Aircraft Noise and Cardiovascular Outcomes) is funded by the National Institute for Health Research. We are providing expertise on integrating daily estimates of day and night time noise average exposure and number of noisy events for 2011-2015 for the population living around Heathrow airport. We are linking noise estimates to cardiovascular hospital admissions and mortality data via posctode of residence.
Developing a detailed noise model in a GIS for Greater based on the UK Calculation of Road Traffic Noise (CRTN) method for the period 2003-2010 to study associations between noise levels (LAeq(16), Lden, Lday, Lnight, Levening) and a range of health outcomes related to births, morbidity and mortality.
Expanding the scale of noise modelling to provide noise exposure estimates for cohort across the UK, Netherlands and Norway using harmonised input data on road traffic and land cover.