Modelling virus spreading in ride-pooling networks

Abstract Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a single vehicle is shared by more than one traveller, is not only appealing for mobility platforms and their travellers, but also for promoting the sustainability of urban m...

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Autores principales: Rafał Kucharski, Oded Cats, Julian Sienkiewicz
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/2413929055ac41b187a0178928d0b881
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spelling oai:doaj.org-article:2413929055ac41b187a0178928d0b8812021-12-02T14:25:26ZModelling virus spreading in ride-pooling networks10.1038/s41598-021-86704-22045-2322https://doaj.org/article/2413929055ac41b187a0178928d0b8812021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86704-2https://doaj.org/toc/2045-2322Abstract Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a single vehicle is shared by more than one traveller, is not only appealing for mobility platforms and their travellers, but also for promoting the sustainability of urban mobility systems. Yet, the potential of ride-pooling rides to serve as a safe and effective alternative given the personal and public health risks considerations associated with the COVID-19 pandemic is hitherto unknown. To answer this, we combine epidemiological and behavioural shareability models to examine spreading among ride-pooling travellers, with an application for Amsterdam. Findings are at first sight devastating, with only few initially infected travellers needed to spread the virus to hundreds of ride-pooling users. Without intervention, ride-pooling system may substantially contribute to virus spreading. Notwithstanding, we identify an effective control measure allowing to halt the spreading before the outbreaks (at 50 instead of 800 infections) without sacrificing the efficiency achieved by pooling. Fixed matches among co-travellers disconnect the otherwise dense contact network, encapsulating the virus in small communities and preventing the outbreaks.Rafał KucharskiOded CatsJulian SienkiewiczNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Rafał Kucharski
Oded Cats
Julian Sienkiewicz
Modelling virus spreading in ride-pooling networks
description Abstract Urban mobility needs alternative sustainable travel modes to keep our pandemic cities in motion. Ride-pooling, where a single vehicle is shared by more than one traveller, is not only appealing for mobility platforms and their travellers, but also for promoting the sustainability of urban mobility systems. Yet, the potential of ride-pooling rides to serve as a safe and effective alternative given the personal and public health risks considerations associated with the COVID-19 pandemic is hitherto unknown. To answer this, we combine epidemiological and behavioural shareability models to examine spreading among ride-pooling travellers, with an application for Amsterdam. Findings are at first sight devastating, with only few initially infected travellers needed to spread the virus to hundreds of ride-pooling users. Without intervention, ride-pooling system may substantially contribute to virus spreading. Notwithstanding, we identify an effective control measure allowing to halt the spreading before the outbreaks (at 50 instead of 800 infections) without sacrificing the efficiency achieved by pooling. Fixed matches among co-travellers disconnect the otherwise dense contact network, encapsulating the virus in small communities and preventing the outbreaks.
format article
author Rafał Kucharski
Oded Cats
Julian Sienkiewicz
author_facet Rafał Kucharski
Oded Cats
Julian Sienkiewicz
author_sort Rafał Kucharski
title Modelling virus spreading in ride-pooling networks
title_short Modelling virus spreading in ride-pooling networks
title_full Modelling virus spreading in ride-pooling networks
title_fullStr Modelling virus spreading in ride-pooling networks
title_full_unstemmed Modelling virus spreading in ride-pooling networks
title_sort modelling virus spreading in ride-pooling networks
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/2413929055ac41b187a0178928d0b881
work_keys_str_mv AT rafałkucharski modellingvirusspreadinginridepoolingnetworks
AT odedcats modellingvirusspreadinginridepoolingnetworks
AT juliansienkiewicz modellingvirusspreadinginridepoolingnetworks
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