Emissions Control Scenarios for Transport in Greater Cairo

Air pollution is a major cause of premature death in Greater Cairo, but studies on emission control are limited. We used local and international data to predict the impact of transport emission control measures on sector parameters including congestion. The International Vehicle Emission model accor...

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Autores principales: Rana Alaa Abbass, Prashant Kumar, Ahmed El-Gendy
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/d1e9e63aaf194195b3e2c3c149f8bc03
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spelling oai:doaj.org-article:d1e9e63aaf194195b3e2c3c149f8bc032021-11-25T19:08:04ZEmissions Control Scenarios for Transport in Greater Cairo10.3390/toxics91102852305-6304https://doaj.org/article/d1e9e63aaf194195b3e2c3c149f8bc032021-11-01T00:00:00Zhttps://www.mdpi.com/2305-6304/9/11/285https://doaj.org/toc/2305-6304Air pollution is a major cause of premature death in Greater Cairo, but studies on emission control are limited. We used local and international data to predict the impact of transport emission control measures on sector parameters including congestion. The International Vehicle Emission model accordingly estimated quantities of criteria, toxic and global warming emissions produced by on-road vehicles. Emissions were estimated for 2019 base case (2019-BC) and projected for 2030 under the ‘do nothing’ scenario (2030-DNS) and five scenarios: fuel subsidy removal (2030-FSR), road expansions (2030-RE), public transport improvements (2030-PTI), inspection and maintenance (I/M) programs (2030-I/MP), and fuel enhancements (2030-FE). The 2030-FSR would reduce emissions by 11.2% versus 2030-DNS. The 2030-RE resulted in an average increase of 37% in emissions compared with 2030-DNS since it induces more traffic. The 2030-PTI provides alternatives to car travel; hence, cars result in an average drop of 32.8% for all emission types compared with 2030-DNS. The 2030-I/MP exhibited reductions in PM<sub>10</sub> and toxic pollutants, of 35–54.8% compared with 2030-DNS. The 2030-FE reduced SO<sub>x</sub>, benzene and N<sub>2</sub>O emissions by 91.8%, 81% and 39.1%, respectively, compared with 2030-DNS. The 2030-I/MP is most effective in reducing health damaging pollutants while 2030-PTI positively impacts commuters’ lifestyle.Rana Alaa AbbassPrashant KumarAhmed El-GendyMDPI AGarticlegreater Cairotransport emissionsemission control scenariosIVE modelChemical technologyTP1-1185ENToxics, Vol 9, Iss 285, p 285 (2021)
institution DOAJ
collection DOAJ
language EN
topic greater Cairo
transport emissions
emission control scenarios
IVE model
Chemical technology
TP1-1185
spellingShingle greater Cairo
transport emissions
emission control scenarios
IVE model
Chemical technology
TP1-1185
Rana Alaa Abbass
Prashant Kumar
Ahmed El-Gendy
Emissions Control Scenarios for Transport in Greater Cairo
description Air pollution is a major cause of premature death in Greater Cairo, but studies on emission control are limited. We used local and international data to predict the impact of transport emission control measures on sector parameters including congestion. The International Vehicle Emission model accordingly estimated quantities of criteria, toxic and global warming emissions produced by on-road vehicles. Emissions were estimated for 2019 base case (2019-BC) and projected for 2030 under the ‘do nothing’ scenario (2030-DNS) and five scenarios: fuel subsidy removal (2030-FSR), road expansions (2030-RE), public transport improvements (2030-PTI), inspection and maintenance (I/M) programs (2030-I/MP), and fuel enhancements (2030-FE). The 2030-FSR would reduce emissions by 11.2% versus 2030-DNS. The 2030-RE resulted in an average increase of 37% in emissions compared with 2030-DNS since it induces more traffic. The 2030-PTI provides alternatives to car travel; hence, cars result in an average drop of 32.8% for all emission types compared with 2030-DNS. The 2030-I/MP exhibited reductions in PM<sub>10</sub> and toxic pollutants, of 35–54.8% compared with 2030-DNS. The 2030-FE reduced SO<sub>x</sub>, benzene and N<sub>2</sub>O emissions by 91.8%, 81% and 39.1%, respectively, compared with 2030-DNS. The 2030-I/MP is most effective in reducing health damaging pollutants while 2030-PTI positively impacts commuters’ lifestyle.
format article
author Rana Alaa Abbass
Prashant Kumar
Ahmed El-Gendy
author_facet Rana Alaa Abbass
Prashant Kumar
Ahmed El-Gendy
author_sort Rana Alaa Abbass
title Emissions Control Scenarios for Transport in Greater Cairo
title_short Emissions Control Scenarios for Transport in Greater Cairo
title_full Emissions Control Scenarios for Transport in Greater Cairo
title_fullStr Emissions Control Scenarios for Transport in Greater Cairo
title_full_unstemmed Emissions Control Scenarios for Transport in Greater Cairo
title_sort emissions control scenarios for transport in greater cairo
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/d1e9e63aaf194195b3e2c3c149f8bc03
work_keys_str_mv AT ranaalaaabbass emissionscontrolscenariosfortransportingreatercairo
AT prashantkumar emissionscontrolscenariosfortransportingreatercairo
AT ahmedelgendy emissionscontrolscenariosfortransportingreatercairo
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