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.
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da Cruz Gouveia, N.
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Woodcock, T
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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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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
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Date deposited: 24 Oct 2018 16:30
Last modified: 18 Dec 2023 19:58
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Contributors
Author:
R. Goel
Author:
N. da Cruz Gouveia
Author:
T Woodcock
Author:
M. Tainio
Author:
A. de Nazelle
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