The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations

Air pollution caused by rapid urbanization and the increased use of private vehicles seriously affects citizens’ health. In order to alleviate air pollution, many cities have replaced diesel buses with compressed natural gas (CNG) buses that emit less exhaust gas. Urban planning strategies such as t...

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Main Authors: Jaeseok Her, Sungjin Park, Jae Seung Lee
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/8/7/636
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spelling doaj-2875b585c2d84da2b7b01277df6e5bc72020-11-24T23:15:31ZengMDPI AGSustainability2071-10502016-07-018763610.3390/su8070636su8070636The Effects of Bus Ridership on Airborne Particulate Matter (PM10) ConcentrationsJaeseok Her0Sungjin Park1Jae Seung Lee2Department of Urban Design and Planning, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 121-791, KoreaDepartment of Urban Design and Planning, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 121-791, KoreaDepartment of Urban Design and Planning, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 121-791, KoreaAir pollution caused by rapid urbanization and the increased use of private vehicles seriously affects citizens’ health. In order to alleviate air pollution, many cities have replaced diesel buses with compressed natural gas (CNG) buses that emit less exhaust gas. Urban planning strategies such as transit-oriented development (TOD) posit that reducing private vehicle use and increasing public transportation use would reduce air pollution levels. The present study examined the effects of bus ridership on airborne particulate matter (PM10) concentrations in the capital region of Korea. We interpolated the levels of PM10 from 128 air pollution monitoring stations, utilizing the Kriging method. Spatial regression models were used to estimate the impact of bus ridership on PM10 levels, controlling for physical environment attributes and socio-economic factors. The analysis identified that PM10 concentration levels tend to be lower in areas with greater bus ridership. This result implies that urban and transportation policies designed to promote public transportation may be effective strategies for reducing air pollution.http://www.mdpi.com/2071-1050/8/7/636airborne particulate matterbus ridershipair pollutionurban formspatial model
collection DOAJ
language English
format Article
sources DOAJ
author Jaeseok Her
Sungjin Park
Jae Seung Lee
spellingShingle Jaeseok Her
Sungjin Park
Jae Seung Lee
The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations
Sustainability
airborne particulate matter
bus ridership
air pollution
urban form
spatial model
author_facet Jaeseok Her
Sungjin Park
Jae Seung Lee
author_sort Jaeseok Her
title The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations
title_short The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations
title_full The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations
title_fullStr The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations
title_full_unstemmed The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations
title_sort effects of bus ridership on airborne particulate matter (pm10) concentrations
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2016-07-01
description Air pollution caused by rapid urbanization and the increased use of private vehicles seriously affects citizens’ health. In order to alleviate air pollution, many cities have replaced diesel buses with compressed natural gas (CNG) buses that emit less exhaust gas. Urban planning strategies such as transit-oriented development (TOD) posit that reducing private vehicle use and increasing public transportation use would reduce air pollution levels. The present study examined the effects of bus ridership on airborne particulate matter (PM10) concentrations in the capital region of Korea. We interpolated the levels of PM10 from 128 air pollution monitoring stations, utilizing the Kriging method. Spatial regression models were used to estimate the impact of bus ridership on PM10 levels, controlling for physical environment attributes and socio-economic factors. The analysis identified that PM10 concentration levels tend to be lower in areas with greater bus ridership. This result implies that urban and transportation policies designed to promote public transportation may be effective strategies for reducing air pollution.
topic airborne particulate matter
bus ridership
air pollution
urban form
spatial model
url http://www.mdpi.com/2071-1050/8/7/636
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