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Impacts of teleworking and online shopping on travel: a tour-based analysis
Large-scale adoption of telemobility, such as teleworking and online shopping, has affected travel patterns significantly. The impacts of teleworking and online shopping on travel have been studied separately and with trip-level analyses, thereby ignoring tour complexity, trip chaining, and activity...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399593/ https://www.ncbi.nlm.nih.gov/pubmed/36033420 http://dx.doi.org/10.1007/s11116-022-10321-9 |
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author | Shah, Harsh Carrel, Andre L. Le, Huyen T. K. |
author_facet | Shah, Harsh Carrel, Andre L. Le, Huyen T. K. |
author_sort | Shah, Harsh |
collection | PubMed |
description | Large-scale adoption of telemobility, such as teleworking and online shopping, has affected travel patterns significantly. The impacts of teleworking and online shopping on travel have been studied separately and with trip-level analyses, thereby ignoring tour complexity, trip chaining, and activity scheduling. We aim to address this gap by investigating the interactions between online shopping, teleworking, and travel at a tour level, considering trip chaining and the importance of the activities involved. We classify tours into mandatory (e.g., travel for work, school), maintenance (e.g., travel for grocery shopping, appointments, errands), and discretionary (e.g., travel for non-grocery shopping, leisure, religious activities) tours according to the primary activity purpose. We then estimate a structural equation model using a one-week activity-travel diary from the 2019 Puget Sound Regional Travel Study. The results indicate that teleworking reduced mandatory and maintenance tours while increasing online shopping. Mandatory tours were negatively associated with both maintenance tours and online shopping, whereas the number of maintenance tours was positively associated with the number of discretionary tours. We did not find a statistically significant relationship between online shopping, maintenance tours, and discretionary tours. Overall, this study offers new insights into the effect of teleworking and online shopping on travel, with potential implications for travel demand modeling and management, as well as for the design of travel surveys that take such virtual activities into account. |
format | Online Article Text |
id | pubmed-9399593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-93995932022-08-24 Impacts of teleworking and online shopping on travel: a tour-based analysis Shah, Harsh Carrel, Andre L. Le, Huyen T. K. Transportation (Amst) Article Large-scale adoption of telemobility, such as teleworking and online shopping, has affected travel patterns significantly. The impacts of teleworking and online shopping on travel have been studied separately and with trip-level analyses, thereby ignoring tour complexity, trip chaining, and activity scheduling. We aim to address this gap by investigating the interactions between online shopping, teleworking, and travel at a tour level, considering trip chaining and the importance of the activities involved. We classify tours into mandatory (e.g., travel for work, school), maintenance (e.g., travel for grocery shopping, appointments, errands), and discretionary (e.g., travel for non-grocery shopping, leisure, religious activities) tours according to the primary activity purpose. We then estimate a structural equation model using a one-week activity-travel diary from the 2019 Puget Sound Regional Travel Study. The results indicate that teleworking reduced mandatory and maintenance tours while increasing online shopping. Mandatory tours were negatively associated with both maintenance tours and online shopping, whereas the number of maintenance tours was positively associated with the number of discretionary tours. We did not find a statistically significant relationship between online shopping, maintenance tours, and discretionary tours. Overall, this study offers new insights into the effect of teleworking and online shopping on travel, with potential implications for travel demand modeling and management, as well as for the design of travel surveys that take such virtual activities into account. Springer US 2022-08-24 /pmc/articles/PMC9399593/ /pubmed/36033420 http://dx.doi.org/10.1007/s11116-022-10321-9 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Shah, Harsh Carrel, Andre L. Le, Huyen T. K. Impacts of teleworking and online shopping on travel: a tour-based analysis |
title | Impacts of teleworking and online shopping on travel: a tour-based analysis |
title_full | Impacts of teleworking and online shopping on travel: a tour-based analysis |
title_fullStr | Impacts of teleworking and online shopping on travel: a tour-based analysis |
title_full_unstemmed | Impacts of teleworking and online shopping on travel: a tour-based analysis |
title_short | Impacts of teleworking and online shopping on travel: a tour-based analysis |
title_sort | impacts of teleworking and online shopping on travel: a tour-based analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399593/ https://www.ncbi.nlm.nih.gov/pubmed/36033420 http://dx.doi.org/10.1007/s11116-022-10321-9 |
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