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Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers
The mediation of work practices by information and communication technologies enables knowledge workers to telework from remote non-office locations such as their homes, or to work nomadically from multiple locations in a day. This paper uses data from the American Time Use Survey to explore the rel...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474569/ https://www.ncbi.nlm.nih.gov/pubmed/32921842 http://dx.doi.org/10.1007/s11116-020-10136-6 |
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author | Stiles, Jonathan Smart, Michael J. |
author_facet | Stiles, Jonathan Smart, Michael J. |
author_sort | Stiles, Jonathan |
collection | PubMed |
description | The mediation of work practices by information and communication technologies enables knowledge workers to telework from remote non-office locations such as their homes, or to work nomadically from multiple locations in a day. This paper uses data from the American Time Use Survey to explore the relationship between daily work locations and travel in the United States from 2003 to 2017. Outcome variables include travel duration and travel during peak periods. Home is by far the most common non-office work location, but working from other people’s homes, cafés/libraries, vehicles, and combinations of multiple locations are also measured. Findings show that working from home only on a day (full-day telework) decreases daily travel duration and increases the likelihood of avoiding peak hour travel for both work and non-work related travel. However, for homeworkers who also conduct work from their workplace on the same day (part-day telework), there is no reduction in daily travel time, and avoiding peak hour travel is limited to work-related travel. Working from other locations such as cafés/libraries or vehicles increases the likelihood of not traveling at peak hours. Findings also indicate that morning peak periods are more affected by work location decisions than evening peak periods. A survival analysis of daily departure times for both full-day and part-day homeworkers provides insight into this mechanism. We conclude on the basis of these findings that demand management policies and peak avoidance incentives would be more effective if they encourage both temporal and spatial flexibility for employees when partnering with regional employers. |
format | Online Article Text |
id | pubmed-7474569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-74745692020-09-08 Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers Stiles, Jonathan Smart, Michael J. Transportation (Amst) Article The mediation of work practices by information and communication technologies enables knowledge workers to telework from remote non-office locations such as their homes, or to work nomadically from multiple locations in a day. This paper uses data from the American Time Use Survey to explore the relationship between daily work locations and travel in the United States from 2003 to 2017. Outcome variables include travel duration and travel during peak periods. Home is by far the most common non-office work location, but working from other people’s homes, cafés/libraries, vehicles, and combinations of multiple locations are also measured. Findings show that working from home only on a day (full-day telework) decreases daily travel duration and increases the likelihood of avoiding peak hour travel for both work and non-work related travel. However, for homeworkers who also conduct work from their workplace on the same day (part-day telework), there is no reduction in daily travel time, and avoiding peak hour travel is limited to work-related travel. Working from other locations such as cafés/libraries or vehicles increases the likelihood of not traveling at peak hours. Findings also indicate that morning peak periods are more affected by work location decisions than evening peak periods. A survival analysis of daily departure times for both full-day and part-day homeworkers provides insight into this mechanism. We conclude on the basis of these findings that demand management policies and peak avoidance incentives would be more effective if they encourage both temporal and spatial flexibility for employees when partnering with regional employers. Springer US 2020-09-05 2021 /pmc/articles/PMC7474569/ /pubmed/32921842 http://dx.doi.org/10.1007/s11116-020-10136-6 Text en © Springer Science+Business Media, LLC, part of Springer Nature 2020 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 Stiles, Jonathan Smart, Michael J. Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers |
title | Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers |
title_full | Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers |
title_fullStr | Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers |
title_full_unstemmed | Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers |
title_short | Working at home and elsewhere: daily work location, telework, and travel among United States knowledge workers |
title_sort | working at home and elsewhere: daily work location, telework, and travel among united states knowledge workers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474569/ https://www.ncbi.nlm.nih.gov/pubmed/32921842 http://dx.doi.org/10.1007/s11116-020-10136-6 |
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