Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar
<p dir="ltr">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 C...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Published: |
2021
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513543633633280 |
|---|---|
| author | Deepti Muley (6579293) |
| author2 | Mohammad Shareef Ghanim (17316949) Anas Mohammad (17316952) Mohamed Kharbeche (6579296) |
| author2_role | author author author |
| author_facet | Deepti Muley (6579293) Mohammad Shareef Ghanim (17316949) Anas Mohammad (17316952) Mohamed Kharbeche (6579296) |
| author_role | author |
| dc.creator.none.fl_str_mv | Deepti Muley (6579293) Mohammad Shareef Ghanim (17316949) Anas Mohammad (17316952) Mohamed Kharbeche (6579296) |
| dc.date.none.fl_str_mv | 2021-03-01T21:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.tranpol.2021.01.018 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Quantifying_the_impact_of_COVID_19_preventive_measures_on_traffic_in_the_State_of_Qatar/24474616 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Civil engineering Human society Policy and administration COVID–19 Mobility impact Pandemic preventive measures Traffic mobility Traffic safety Traffic injuries State of Qatar |
| dc.title.none.fl_str_mv | Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Transport Policy<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.tranpol.2021.01.018" target="_blank">https://dx.doi.org/10.1016/j.tranpol.2021.01.018</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_97e9e1d6e77656c22dffaaed9f297226 |
| identifier_str_mv | 10.1016/j.tranpol.2021.01.018 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24474616 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Quantifying the impact of COVID–19 preventive measures on traffic in the State of QatarDeepti Muley (6579293)Mohammad Shareef Ghanim (17316949)Anas Mohammad (17316952)Mohamed Kharbeche (6579296)Commerce, management, tourism and servicesTransportation, logistics and supply chainsEngineeringCivil engineeringHuman societyPolicy and administrationCOVID–19Mobility impactPandemic preventive measuresTraffic mobilityTraffic safetyTraffic injuriesState of Qatar<p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Transport Policy<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.tranpol.2021.01.018" target="_blank">https://dx.doi.org/10.1016/j.tranpol.2021.01.018</a></p>2021-03-01T21:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.tranpol.2021.01.018https://figshare.com/articles/journal_contribution/Quantifying_the_impact_of_COVID_19_preventive_measures_on_traffic_in_the_State_of_Qatar/24474616CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/244746162021-03-01T21:00:00Z |
| spellingShingle | Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar Deepti Muley (6579293) Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Civil engineering Human society Policy and administration COVID–19 Mobility impact Pandemic preventive measures Traffic mobility Traffic safety Traffic injuries State of Qatar |
| status_str | publishedVersion |
| 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 | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Civil engineering Human society Policy and administration COVID–19 Mobility impact Pandemic preventive measures Traffic mobility Traffic safety Traffic injuries State of Qatar |