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A worldwide study of traffic contribution to particulate matter in urban areas using a Bayesian meta-regression approach

A worldwide study of traffic contribution to particulate matter in urban areas using a Bayesian meta-regression approach
A worldwide study of traffic contribution to particulate matter in urban areas using a Bayesian meta-regression approach
Heydari, S.
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Goel, R.
87583df1-577c-4dc7-9810-3623d5db07fa
da Cruz Gouveia, N.
be00e21d-f01d-4eef-b920-27d490dd4520
Woodcock, T
e3994e66-f0a5-4f05-82d6-778fcc2a017a
Tainio, M.
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de Nazelle, A.
4ed97c22-af6d-4a65-bc5f-8994a5512f8e
Heydari, S.
0d12a583-a4e8-4888-9e51-a50d312be1e9
Goel, R.
87583df1-577c-4dc7-9810-3623d5db07fa
da Cruz Gouveia, N.
be00e21d-f01d-4eef-b920-27d490dd4520
Woodcock, T
e3994e66-f0a5-4f05-82d6-778fcc2a017a
Tainio, M.
d6caa01f-5009-4ebc-9203-49c08512a169
de Nazelle, A.
4ed97c22-af6d-4a65-bc5f-8994a5512f8e

Heydari, S., Goel, R., da Cruz Gouveia, N., Woodcock, T, Tainio, M. and de Nazelle, A. (2018) A worldwide study of traffic contribution to particulate matter in urban areas using a Bayesian meta-regression approach. Urban Transitions 2018: Integrating Urban and Transport Planning, Environment and Health for Healthier Urban Living, Spain, Barcelona. 25 - 27 Nov 2018. (In Press)

Record type: Conference or Workshop Item (Other)

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More information

Accepted/In Press date: 23 July 2018
Venue - Dates: Urban Transitions 2018: Integrating Urban and Transport Planning, Environment and Health for Healthier Urban Living, Spain, Barcelona, 2018-11-25 - 2018-11-27

Identifiers

Local EPrints ID: 425541
URI: http://eprints.soton.ac.uk/id/eprint/425541
PURE UUID: 78e88a8d-28da-4f44-a7ba-515b21a77b58

Catalogue record

Date deposited: 24 Oct 2018 16:30
Last modified: 09 Nov 2021 14:22

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Contributors

Author: S. Heydari
Author: R. Goel
Author: N. da Cruz Gouveia
Author: T Woodcock
Author: M. Tainio
Author: A. de Nazelle

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