A Dynamic Three-Dimensional Air Pollution Exposure Model for Hong Kong

Benjamin BARRATT; Martha LEE; Paulina WONG; Robert TANG; Tsz Him TSUI; Wei CHENG; Yang YANG; Poh Chin LAI; Linwei TIAN; Thuan Quoc THACH; Ryan ALLEN; Michael BRAUER

A Dynamic Three-Dimensional Air Pollution Exposure Model for Hong Kong

Benjamin BARRATT
, Martha LEE
, Paulina WONG
, Robert TANG
, Tsz Him TSUI
, Wei CHENG
, Yang YANG
, Poh Chin LAI
, Linwei TIAN
, Thuan Quoc THACH
, Ryan ALLEN
, Michael BRAUER

Division of Science

Research output: Scholarly Books | Reports | Literary Works › Consulting or Contract Research Report › Research

Abstract

HEI’s Research Report 194, A Dynamic, Three-Dimensional Air Pollution Exposure Model for Hong Kong, describes a study led by Benjamin Barratt of King’s College London, United Kingdom, that developed a dynamic three-dimensional land-use regression model for Hong Kong and used it to estimate exposure to traffic-related air pollution. The investigators developed different exposure models with increasing complexity (e.g., incorporating infiltration of outdoor pollutants, vertical gradients, and time–activity patterns). Those models were applied in an epidemiological study using an existing elderly cohort of 66,000 Hong Kong residents to evaluate the potential impact of exposure measurement error on mortality estimates.

Original language	English
Publisher	Health Effects Institute
Publication status	Published - Feb 2018

Publication series

Name	Health Effects Institute Research Report
Publisher	Health Effects Institute
No.	194

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Access to Document

https://www.healtheffects.org/system/files/BarrattRR194_0.pdf

Cite this

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title = "A Dynamic Three-Dimensional Air Pollution Exposure Model for Hong Kong",

abstract = "HEI{\textquoteright}s Research Report 194, A Dynamic, Three-Dimensional Air Pollution Exposure Model for Hong Kong, describes a study led by Benjamin Barratt of King{\textquoteright}s College London, United Kingdom, that developed a dynamic three-dimensional land-use regression model for Hong Kong and used it to estimate exposure to traffic-related air pollution. The investigators developed different exposure models with increasing complexity (e.g., incorporating infiltration of outdoor pollutants, vertical gradients, and time–activity patterns). Those models were applied in an epidemiological study using an existing elderly cohort of 66,000 Hong Kong residents to evaluate the potential impact of exposure measurement error on mortality estimates.",

author = "Benjamin BARRATT and Martha LEE and Paulina WONG and Robert TANG and TSUI, \{Tsz Him\} and Wei CHENG and Yang YANG and LAI, \{Poh Chin\} and Linwei TIAN and THACH, \{Thuan Quoc\} and Ryan ALLEN and Michael BRAUER",

year = "2018",

month = feb,

language = "English",

series = "Health Effects Institute Research Report",

publisher = "Health Effects Institute",

number = "194",

address = "United States",

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TY - BOOK

T1 - A Dynamic Three-Dimensional Air Pollution Exposure Model for Hong Kong

AU - BARRATT, Benjamin

AU - LEE, Martha

AU - WONG, Paulina

AU - TANG, Robert

AU - TSUI, Tsz Him

AU - CHENG, Wei

AU - YANG, Yang

AU - LAI, Poh Chin

AU - TIAN, Linwei

AU - THACH, Thuan Quoc

AU - ALLEN, Ryan

AU - BRAUER, Michael

PY - 2018/2

Y1 - 2018/2

N2 - HEI’s Research Report 194, A Dynamic, Three-Dimensional Air Pollution Exposure Model for Hong Kong, describes a study led by Benjamin Barratt of King’s College London, United Kingdom, that developed a dynamic three-dimensional land-use regression model for Hong Kong and used it to estimate exposure to traffic-related air pollution. The investigators developed different exposure models with increasing complexity (e.g., incorporating infiltration of outdoor pollutants, vertical gradients, and time–activity patterns). Those models were applied in an epidemiological study using an existing elderly cohort of 66,000 Hong Kong residents to evaluate the potential impact of exposure measurement error on mortality estimates.

AB - HEI’s Research Report 194, A Dynamic, Three-Dimensional Air Pollution Exposure Model for Hong Kong, describes a study led by Benjamin Barratt of King’s College London, United Kingdom, that developed a dynamic three-dimensional land-use regression model for Hong Kong and used it to estimate exposure to traffic-related air pollution. The investigators developed different exposure models with increasing complexity (e.g., incorporating infiltration of outdoor pollutants, vertical gradients, and time–activity patterns). Those models were applied in an epidemiological study using an existing elderly cohort of 66,000 Hong Kong residents to evaluate the potential impact of exposure measurement error on mortality estimates.

A Dynamic Three-Dimensional Air Pollution Exposure Model for Hong Kong

Abstract

Publication series

UN SDGs

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Cite this