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A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy
COVID-19 measures implied many changes to travel behaviour and transport mode choice during the pandemic. This study seeks to understand what individual characteristics and travel attributes are related to transport mode choice before, during, and after the first lockdown in Italy. Based on an onlin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987251/ https://www.ncbi.nlm.nih.gov/pubmed/36911882 http://dx.doi.org/10.1016/j.cities.2023.104251 |
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author | Mussone, Lorenzo Changizi, Farzaneh |
author_facet | Mussone, Lorenzo Changizi, Farzaneh |
author_sort | Mussone, Lorenzo |
collection | PubMed |
description | COVID-19 measures implied many changes to travel behaviour and transport mode choice during the pandemic. This study seeks to understand what individual characteristics and travel attributes are related to transport mode choice before, during, and after the first lockdown in Italy. Based on an online survey (carried out in May 2020 in Milan), three multinomial regression models are presented. The results show that and in which measure parameters regarding distance and duration of daily travel are markedly related to transport mode before the lockdown. However, these factors are less significantly associated with the transport mode during and after the lockdown. Meanwhile, factors such as Preferences and Worry about using public transport have more significant relationship with the modal choice during the pandemic. Regarding individual characteristics, women are more likely to use active mode during and after the lockdown. Additionally, two personality traits of Agreeableness, and Openness to experiences are related to transport mode during and after the lockdown, respectively. Overall, this study reveals that in addition to socio-demographic factors, other variables such as worry about using public transport, preference, and personality are associated with the choice of transport mode during the lockdown. |
format | Online Article Text |
id | pubmed-9987251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99872512023-03-06 A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy Mussone, Lorenzo Changizi, Farzaneh Cities Article COVID-19 measures implied many changes to travel behaviour and transport mode choice during the pandemic. This study seeks to understand what individual characteristics and travel attributes are related to transport mode choice before, during, and after the first lockdown in Italy. Based on an online survey (carried out in May 2020 in Milan), three multinomial regression models are presented. The results show that and in which measure parameters regarding distance and duration of daily travel are markedly related to transport mode before the lockdown. However, these factors are less significantly associated with the transport mode during and after the lockdown. Meanwhile, factors such as Preferences and Worry about using public transport have more significant relationship with the modal choice during the pandemic. Regarding individual characteristics, women are more likely to use active mode during and after the lockdown. Additionally, two personality traits of Agreeableness, and Openness to experiences are related to transport mode during and after the lockdown, respectively. Overall, this study reveals that in addition to socio-demographic factors, other variables such as worry about using public transport, preference, and personality are associated with the choice of transport mode during the lockdown. Elsevier Ltd. 2023-05 2023-03-06 /pmc/articles/PMC9987251/ /pubmed/36911882 http://dx.doi.org/10.1016/j.cities.2023.104251 Text en © 2023 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 Mussone, Lorenzo Changizi, Farzaneh A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy |
title | A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy |
title_full | A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy |
title_fullStr | A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy |
title_full_unstemmed | A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy |
title_short | A study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in Milan, Italy |
title_sort | study on the factors that influenced the choice of transport mode before, during, and after the first lockdown in milan, italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9987251/ https://www.ncbi.nlm.nih.gov/pubmed/36911882 http://dx.doi.org/10.1016/j.cities.2023.104251 |
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