The University of Southampton
University of Southampton Institutional Repository

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.
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.
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. 25 - 27 Nov 2018. (In Press)

Record type: Conference or Workshop Item (Other)

Full text not available from this repository.

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, 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: 29 Jan 2020 12:14

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×