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An estimation of the effects of social distancing measures on transit vehicle capacity and operations
The COVID-19 pandemic has a direct impact on public transport operations. In this paper, impacts on transit operations of the physical distancing measures deployed to slow the spread of the virus are analyzed and recommendations are provided. At first, two social distancing optimization solutions ar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422290/ https://www.ncbi.nlm.nih.gov/pubmed/34514373 http://dx.doi.org/10.1016/j.trip.2021.100398 |
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author | Kamga, Camille Tchamna, Rodrigue Vicuna, Patricio Mudigonda, Sandeep Moghimi, Bahman |
author_facet | Kamga, Camille Tchamna, Rodrigue Vicuna, Patricio Mudigonda, Sandeep Moghimi, Bahman |
author_sort | Kamga, Camille |
collection | PubMed |
description | The COVID-19 pandemic has a direct impact on public transport operations. In this paper, impacts on transit operations of the physical distancing measures deployed to slow the spread of the virus are analyzed and recommendations are provided. At first, two social distancing optimization solutions are provided in order to keep riders at a safe distance. The first is a discrete optimization that can be used in buses with fixed seats, while the second is a continuous optimization that can be used to distribute riders on a grid and be applied on a bus or subway platform. Assuming that the ridership will eventually go back to its level before the pandemic, the second objective of this research is to address the transit operation parameters that need to be changed in order to serve the pre-COVID ridership level, while respecting the social distancing measures. An O-D distribution has been developed in this paper for New York City (NYC) subway line 1, based on the 2018 NYC Travel Survey conducted by the Metropolitan Transportation Authority. Five scenarios of physical distancing are simulated and analyzed in this paper: 3ft, 4ft, 5ft, 5.4ft, and 6ft of separation between passengers. The results show the number of additional trains required to accommodate the hypothetical pre-COVID ridership demand while maintaining social distancing. An interesting key finding is that, by decreasing the minimum distance from 6ft to 5.4ft, the number of additional trains required to serve the transit demand drastically decreases and hence more resources are saved. |
format | Online Article Text |
id | pubmed-8422290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84222902021-09-07 An estimation of the effects of social distancing measures on transit vehicle capacity and operations Kamga, Camille Tchamna, Rodrigue Vicuna, Patricio Mudigonda, Sandeep Moghimi, Bahman Transp Res Interdiscip Perspect Article The COVID-19 pandemic has a direct impact on public transport operations. In this paper, impacts on transit operations of the physical distancing measures deployed to slow the spread of the virus are analyzed and recommendations are provided. At first, two social distancing optimization solutions are provided in order to keep riders at a safe distance. The first is a discrete optimization that can be used in buses with fixed seats, while the second is a continuous optimization that can be used to distribute riders on a grid and be applied on a bus or subway platform. Assuming that the ridership will eventually go back to its level before the pandemic, the second objective of this research is to address the transit operation parameters that need to be changed in order to serve the pre-COVID ridership level, while respecting the social distancing measures. An O-D distribution has been developed in this paper for New York City (NYC) subway line 1, based on the 2018 NYC Travel Survey conducted by the Metropolitan Transportation Authority. Five scenarios of physical distancing are simulated and analyzed in this paper: 3ft, 4ft, 5ft, 5.4ft, and 6ft of separation between passengers. The results show the number of additional trains required to accommodate the hypothetical pre-COVID ridership demand while maintaining social distancing. An interesting key finding is that, by decreasing the minimum distance from 6ft to 5.4ft, the number of additional trains required to serve the transit demand drastically decreases and hence more resources are saved. Published by Elsevier Ltd. 2021-06 2021-05-29 /pmc/articles/PMC8422290/ /pubmed/34514373 http://dx.doi.org/10.1016/j.trip.2021.100398 Text en © 2021 Published by Elsevier Ltd. 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 Kamga, Camille Tchamna, Rodrigue Vicuna, Patricio Mudigonda, Sandeep Moghimi, Bahman An estimation of the effects of social distancing measures on transit vehicle capacity and operations |
title | An estimation of the effects of social distancing measures on transit vehicle capacity and operations |
title_full | An estimation of the effects of social distancing measures on transit vehicle capacity and operations |
title_fullStr | An estimation of the effects of social distancing measures on transit vehicle capacity and operations |
title_full_unstemmed | An estimation of the effects of social distancing measures on transit vehicle capacity and operations |
title_short | An estimation of the effects of social distancing measures on transit vehicle capacity and operations |
title_sort | estimation of the effects of social distancing measures on transit vehicle capacity and operations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422290/ https://www.ncbi.nlm.nih.gov/pubmed/34514373 http://dx.doi.org/10.1016/j.trip.2021.100398 |
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