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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621196/ https://www.ncbi.nlm.nih.gov/pubmed/34822676 http://dx.doi.org/10.3390/toxics9110285 |
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author | Alaa Abbass, Rana Kumar, Prashant El-Gendy, Ahmed |
author_facet | Alaa Abbass, Rana Kumar, Prashant El-Gendy, Ahmed |
author_sort | Alaa Abbass, Rana |
collection | PubMed |
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(10) and toxic pollutants, of 35–54.8% compared with 2030-DNS. The 2030-FE reduced SO(x), benzene and N(2)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 | Online Article Text |
id | pubmed-8621196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86211962021-11-27 Emissions Control Scenarios for Transport in Greater Cairo Alaa Abbass, Rana Kumar, Prashant El-Gendy, Ahmed Toxics Article 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(10) and toxic pollutants, of 35–54.8% compared with 2030-DNS. The 2030-FE reduced SO(x), benzene and N(2)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. MDPI 2021-11-01 /pmc/articles/PMC8621196/ /pubmed/34822676 http://dx.doi.org/10.3390/toxics9110285 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alaa Abbass, Rana Kumar, Prashant El-Gendy, Ahmed Emissions Control Scenarios for Transport in Greater Cairo |
title | 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_short | Emissions Control Scenarios for Transport in Greater Cairo |
title_sort | emissions control scenarios for transport in greater cairo |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621196/ https://www.ncbi.nlm.nih.gov/pubmed/34822676 http://dx.doi.org/10.3390/toxics9110285 |
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