Land use regression models for estimating individual NOx and NO2 exposures in a metropolis with a high density of traffic roads and population

J.H. Lee; C.F. Wu; G. Hoek; K. de Hoogh; R. Beelen; B. Brunekreef; C.,C. Chan

Land use regression models for estimating individual NOx and NO2 exposures in a metropolis with a high density of traffic roads and population

J.H. Lee, C.F. Wu, G. Hoek, K. de Hoogh, R. Beelen, B. Brunekreef, C.,C. Chan

Julius Center, dept. Epidemiology & Health Economics

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	1163-1171
Number of pages	9
Journal	Science of the Total Environment
Volume	472
Publication status	Published - 2014

Cite this

@article{83fef0c01b484cf4b8b169a556a9cdaa,

title = "Land use regression models for estimating individual NOx and NO2 exposures in a metropolis with a high density of traffic roads and population",

author = "J.H. Lee and C.F. Wu and G. Hoek and {de Hoogh}, K. and R. Beelen and B. Brunekreef and C.,C. Chan",

year = "2014",

language = "English",

volume = "472",

pages = "1163--1171",

journal = "Science of the Total Environment",

issn = "0048-9697",

publisher = "Elsevier",

}

TY - JOUR

T1 - Land use regression models for estimating individual NOx and NO2 exposures in a metropolis with a high density of traffic roads and population

AU - Lee, J.H.

AU - Wu, C.F.

AU - Hoek, G.

AU - de Hoogh, K.

AU - Beelen, R.

AU - Brunekreef, B.

AU - Chan, C.,C.

PY - 2014

Y1 - 2014

M3 - Article

SN - 0048-9697

VL - 472

SP - 1163

EP - 1171

JO - Science of the Total Environment

JF - Science of the Total Environment

ER -