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Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic
During the year 2020, the COVID-19 pandemic affected mobility around the world, significantly reducing the number of trips by public transport. In this paper, we study its impact in five South American capitals (i.e., Bogotá, Buenos Aires, Lima, Quito and Santiago). A decline in public transport pat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372024/ https://www.ncbi.nlm.nih.gov/pubmed/35974744 http://dx.doi.org/10.1016/j.tra.2022.08.010 |
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author | Vallejo-Borda, Jose Agustin Giesen, Ricardo Basnak, Paul Reyes, José P. Mella Lira, Beatriz Beck, Matthew J. Hensher, David A. Ortúzar, Juan de Dios |
author_facet | Vallejo-Borda, Jose Agustin Giesen, Ricardo Basnak, Paul Reyes, José P. Mella Lira, Beatriz Beck, Matthew J. Hensher, David A. Ortúzar, Juan de Dios |
author_sort | Vallejo-Borda, Jose Agustin |
collection | PubMed |
description | During the year 2020, the COVID-19 pandemic affected mobility around the world, significantly reducing the number of trips by public transport. In this paper, we study its impact in five South American capitals (i.e., Bogotá, Buenos Aires, Lima, Quito and Santiago). A decline in public transport patronage could be very bad news for these cities in the long term, particularly if users change to less sustainable modes, such as cars or motorbikes. Notwithstanding, it could be even beneficial if users selected more sustainable modes, such as active transport (e.g., bicycles and walking). To better understand this phenomenon in the short term, we conducted surveys in these five cities looking for the main explanation for changes from public transport to active and private modes in terms of user perceptions, activity patterns and sociodemographic information. To forecast people’s mode shifts in each city, we integrated both objective and subjective information collected in this study using a SEM-MIMIC model. We found five latent variables (i.e., COVID-19 impact, Entities response, Health risk, Life related activities comfort and Subjective well-being), two COVID-19 related attributes (i.e., new cases and deaths), two trip attributes (i.e., cost savings and time), and six socio-demographic attributes (i.e., age, civil status, household characteristics, income level, occupation and gender) influencing the shift from public transport to other modes. Furthermore, both the number of cases and the number of deaths caused by COVID-19 increased the probability of moving from public transport to other modes but, in general, we found a smaller probability of moving to active modes than to private modes. The paper proposes a novel way for understanding geographical and contextual similarities in the pandemic scenario for these metropolises from a transportation perspective. |
format | Online Article Text |
id | pubmed-9372024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93720242022-08-12 Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic Vallejo-Borda, Jose Agustin Giesen, Ricardo Basnak, Paul Reyes, José P. Mella Lira, Beatriz Beck, Matthew J. Hensher, David A. Ortúzar, Juan de Dios Transp Res Part A Policy Pract Article During the year 2020, the COVID-19 pandemic affected mobility around the world, significantly reducing the number of trips by public transport. In this paper, we study its impact in five South American capitals (i.e., Bogotá, Buenos Aires, Lima, Quito and Santiago). A decline in public transport patronage could be very bad news for these cities in the long term, particularly if users change to less sustainable modes, such as cars or motorbikes. Notwithstanding, it could be even beneficial if users selected more sustainable modes, such as active transport (e.g., bicycles and walking). To better understand this phenomenon in the short term, we conducted surveys in these five cities looking for the main explanation for changes from public transport to active and private modes in terms of user perceptions, activity patterns and sociodemographic information. To forecast people’s mode shifts in each city, we integrated both objective and subjective information collected in this study using a SEM-MIMIC model. We found five latent variables (i.e., COVID-19 impact, Entities response, Health risk, Life related activities comfort and Subjective well-being), two COVID-19 related attributes (i.e., new cases and deaths), two trip attributes (i.e., cost savings and time), and six socio-demographic attributes (i.e., age, civil status, household characteristics, income level, occupation and gender) influencing the shift from public transport to other modes. Furthermore, both the number of cases and the number of deaths caused by COVID-19 increased the probability of moving from public transport to other modes but, in general, we found a smaller probability of moving to active modes than to private modes. The paper proposes a novel way for understanding geographical and contextual similarities in the pandemic scenario for these metropolises from a transportation perspective. Elsevier Ltd. 2022-10 2022-08-12 /pmc/articles/PMC9372024/ /pubmed/35974744 http://dx.doi.org/10.1016/j.tra.2022.08.010 Text en © 2022 Elsevier Ltd. All rights reserved. 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 Vallejo-Borda, Jose Agustin Giesen, Ricardo Basnak, Paul Reyes, José P. Mella Lira, Beatriz Beck, Matthew J. Hensher, David A. Ortúzar, Juan de Dios Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic |
title | Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic |
title_full | Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic |
title_fullStr | Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic |
title_full_unstemmed | Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic |
title_short | Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic |
title_sort | characterising public transport shifting to active and private modes in south american capitals during the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372024/ https://www.ncbi.nlm.nih.gov/pubmed/35974744 http://dx.doi.org/10.1016/j.tra.2022.08.010 |
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