In this study we are developing the next generation of health impact models of transport and testing this in England. The study builds on the existing ITHIM tools.

This study represents a sister study to TIGTHAT. In TIGTHAT we are laying the foundation for a globally applicable model that can cover settings with diverse and typically limited data. In METAHIT we are investigating how far we can go with a setting with good data.

Key developments in METAHIT are

  1. Producing estimates at smaller spatial scales
  2. Better representation of uncertainty, including using Value of Information analysis to prioritise future reserach
  3. Inclusion of noise pollution
  4. Improved calibration of approaches used in surveillance of exposures with those used to estimate the strengh of aetiological relationships.
  5. Comparison of health impact modelling methods
  6. Data driven scenarios building on the Propensity to Cycle Tool

The model will be built in R and all code will be made available open source.

METAHIT runs from July 2017 to June 2020

Investigators and researchers are:

University of Cambridge (Dr James Woodcock, Dr Marko Tainio, Dr Soren Brage, Ali Abbas)

Imperial College (Dr Audrey de Nazelle, Dr John Gulliver, Dr Tim Oxley)

London School of Hygiene and Tropical Medicine (Dr Anna Goodman)

Norwegion Centre for Transport Research (Dr Rune Elvik).