High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data

Joshua S. Apte; Kyle P. Messier; Shahzad Gani; Michael Brauer; Thomas W. Kirchstetter; Melissa M. Lunden; Julian D. Marshall; Christopher J. Portier; Roel C. H. Vermeulen; Steven P. Hamburg

doi:10.1021/acs.est.7b00891

High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data

Joshua S. Apte^*, Kyle P. Messier, Shahzad Gani, Michael Brauer, Thomas W. Kirchstetter, Melissa M. Lunden, Julian D. Marshall, Christopher J. Portier, Roel C. H. Vermeulen, Steven P. Hamburg

^*Corresponding author for this work

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

Abstract

Air pollution affects billions of people worldwide, yet ambient pollution measurements are limited for much of the world. Urban air pollution concentrations vary sharply over short distances (

Original language	English
Pages (from-to)	6999-7008
Number of pages	10
Journal	Environmental Science & Technology
Volume	51
Issue number	12
DOIs	https://doi.org/10.1021/acs.est.7b00891
Publication status	Published - 20 Jun 2017

Keywords

LAND-USE REGRESSION
PARTICLE NUMBER CONCENTRATIONS
BLACK CARBON
ULTRAFINE PARTICLES
GLOBAL BURDEN
MAJOR HIGHWAY
MOBILE
EXPOSURE
URBAN
PM2.5

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title = "High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data",

abstract = "Air pollution affects billions of people worldwide, yet ambient pollution measurements are limited for much of the world. Urban air pollution concentrations vary sharply over short distances (",

keywords = "LAND-USE REGRESSION, PARTICLE NUMBER CONCENTRATIONS, BLACK CARBON, ULTRAFINE PARTICLES, GLOBAL BURDEN, MAJOR HIGHWAY, MOBILE, EXPOSURE, URBAN, PM2.5",

author = "Apte, {Joshua S.} and Messier, {Kyle P.} and Shahzad Gani and Michael Brauer and Kirchstetter, {Thomas W.} and Lunden, {Melissa M.} and Marshall, {Julian D.} and Portier, {Christopher J.} and Vermeulen, {Roel C. H.} and Hamburg, {Steven P.}",

year = "2017",

month = jun,

day = "20",

doi = "10.1021/acs.est.7b00891",

language = "English",

volume = "51",

pages = "6999--7008",

journal = "Environmental Science & Technology",

issn = "0013-936X",

publisher = "American Chemical Society",

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TY - JOUR

T1 - High-Resolution Air Pollution Mapping with Google Street View Cars

T2 - Exploiting Big Data

AU - Apte, Joshua S.

AU - Messier, Kyle P.

AU - Gani, Shahzad

AU - Brauer, Michael

AU - Kirchstetter, Thomas W.

AU - Lunden, Melissa M.

AU - Marshall, Julian D.

AU - Portier, Christopher J.

AU - Vermeulen, Roel C. H.

AU - Hamburg, Steven P.

PY - 2017/6/20

Y1 - 2017/6/20

N2 - Air pollution affects billions of people worldwide, yet ambient pollution measurements are limited for much of the world. Urban air pollution concentrations vary sharply over short distances (

AB - Air pollution affects billions of people worldwide, yet ambient pollution measurements are limited for much of the world. Urban air pollution concentrations vary sharply over short distances (

KW - LAND-USE REGRESSION

KW - PARTICLE NUMBER CONCENTRATIONS

KW - BLACK CARBON

KW - ULTRAFINE PARTICLES

KW - GLOBAL BURDEN

KW - MAJOR HIGHWAY

KW - MOBILE

KW - EXPOSURE

KW - URBAN

KW - PM2.5

U2 - 10.1021/acs.est.7b00891

DO - 10.1021/acs.est.7b00891

M3 - Article

SN - 0013-936X

VL - 51

SP - 6999

EP - 7008

JO - Environmental Science & Technology

JF - Environmental Science & Technology

IS - 12

ER -

High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data

Abstract

Keywords

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