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Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar
Ever since the beginning of 2020, the mobility of people and goods all over the world has been extremely limited as a result of movement restrictions imposed by local authorities as part of several other efforts to stop the wide spread of COVID–19 pandemic. The Supreme Committee for Crisis Managemen...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761787/ https://www.ncbi.nlm.nih.gov/pubmed/36570708 http://dx.doi.org/10.1016/j.tranpol.2021.01.018 |
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author | Muley, Deepti Ghanim, Mohammad Shareef Mohammad, Anas Kharbeche, Mohamed |
author_facet | Muley, Deepti Ghanim, Mohammad Shareef Mohammad, Anas Kharbeche, Mohamed |
author_sort | Muley, Deepti |
collection | PubMed |
description | Ever since the beginning of 2020, the mobility of people and goods all over the world has been extremely limited as a result of movement restrictions imposed by local authorities as part of several other efforts to stop the wide spread of COVID–19 pandemic. The Supreme Committee for Crisis Management in the State of Qatar adopted the policy of incremental preventive measures that were adjusted based on the pandemic status. These actions involved several restrictions, aiming a balance between reducing the pandemic spread and the typical daily activities disturbance. This paper assesses the impact of pandemic response measures on traffic mobility by quantifying the holistic impact of the incremental measures at different stages on traffic volumes and traffic safety. Daily traffic counts from 24 intersections were collected every 15-min for several days, representing the traffic before and after implementing each preventive measure. Besides, a screenline was used to represent the traffic entering and leaving the Central Business District (CBD) in the City of Doha. The results show that the daily traffic demand distribution over the course of day was not affected by those preventive measures. However, an overall demand reduction of 30% in baseline traffic was observed for all studied intersections and the screenline when all preventive measures were active. Moreover, the analysis of traffic violations and the total crashes indicated a drop of 73% and 37% respectively. The results from this assessment will assist decision and policy makers, and planners to prioritize traffic management actions for future needs. Further, the findings can also be utilized for mega–event traffic management in the post-COVID era, such as FIFA World Cup 2022 and 2030 Asian Games. |
format | Online Article Text |
id | pubmed-9761787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97617872022-12-19 Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar Muley, Deepti Ghanim, Mohammad Shareef Mohammad, Anas Kharbeche, Mohamed Transp Policy (Oxf) Article Ever since the beginning of 2020, the mobility of people and goods all over the world has been extremely limited as a result of movement restrictions imposed by local authorities as part of several other efforts to stop the wide spread of COVID–19 pandemic. The Supreme Committee for Crisis Management in the State of Qatar adopted the policy of incremental preventive measures that were adjusted based on the pandemic status. These actions involved several restrictions, aiming a balance between reducing the pandemic spread and the typical daily activities disturbance. This paper assesses the impact of pandemic response measures on traffic mobility by quantifying the holistic impact of the incremental measures at different stages on traffic volumes and traffic safety. Daily traffic counts from 24 intersections were collected every 15-min for several days, representing the traffic before and after implementing each preventive measure. Besides, a screenline was used to represent the traffic entering and leaving the Central Business District (CBD) in the City of Doha. The results show that the daily traffic demand distribution over the course of day was not affected by those preventive measures. However, an overall demand reduction of 30% in baseline traffic was observed for all studied intersections and the screenline when all preventive measures were active. Moreover, the analysis of traffic violations and the total crashes indicated a drop of 73% and 37% respectively. The results from this assessment will assist decision and policy makers, and planners to prioritize traffic management actions for future needs. Further, the findings can also be utilized for mega–event traffic management in the post-COVID era, such as FIFA World Cup 2022 and 2030 Asian Games. The Author(s). Published by Elsevier Ltd. 2021-03 2021-02-02 /pmc/articles/PMC9761787/ /pubmed/36570708 http://dx.doi.org/10.1016/j.tranpol.2021.01.018 Text en © 2021 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Muley, Deepti Ghanim, Mohammad Shareef Mohammad, Anas Kharbeche, Mohamed Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar |
title | Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar |
title_full | Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar |
title_fullStr | Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar |
title_full_unstemmed | Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar |
title_short | Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar |
title_sort | quantifying the impact of covid–19 preventive measures on traffic in the state of qatar |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761787/ https://www.ncbi.nlm.nih.gov/pubmed/36570708 http://dx.doi.org/10.1016/j.tranpol.2021.01.018 |
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