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| Sourd, Romain Crastes Dit |
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| Marton, Peter |
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| Toaza, Bladimir |
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| Lubashevsky, Katrin |
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| Ambros, Jiří |
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| Niederdränk, Simon |
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| Khoshkha, Kaveh |
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| Brenner, Thomas |
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| Badea, Andrei | Delft |
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| Michálek, Tomáš | Pardubice |
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| Jensen, Anders Fjendbo | Kongens Lyngby |
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| Le Goff, A. |
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| Greer, Ross |
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| Gutiérrez, Javier | Madrid |
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| Sagues, Mikel |
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| Eggermond, Michael Van |
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| Milica Milovanović, M. |
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| Carrasco, Juan-Antonio |
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| Groen, Eric L. |
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| Tzenos, Panagiotis |
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| Mesas, Juan-José |
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| Oikonomou, Maria G. |
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| Messiou, Chrysovalanto |
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| Giuliani, Felice |
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| Roussou, Julia |
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Circella, Giovanni
in Cooperation with on an Cooperation-Score of 37%
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Publications (15/15 displayed)
- 2025Teleworkers and physical commuters during the COVID-19 pandemic: the change in mobility related attitudes and the intention to telecommute in the future
- 2024Investigating Objective and Subjective Factors Influencing the Frequency and Purpose of E-Scooter Tripscitations
- 2023Conclusion: Reflections and Lessons from the Pandemic
- 2023Changes in Active Travel During the COVID-19 Pandemiccitations
- 2023Combining disparate surveys across time to study satisfaction with life: the effects of study context, sampling method, and transport attributescitations
- 2023Adoption of Telecommuting and Changes in Travel Behavior in Southern California During the COVID-19 Pandemiccitations
- 2021Do millennials value travel time differently because of productive multitasking? A revealed-preference study of Northern California commuterscitations
- 2021Who doesn’t mind waiting? Examining the relationships between waiting attitudes and person- and travel-related attributescitations
- 2021What drives the gap? Applying the Blinder–Oaxaca decomposition method to examine generational differences in transportation-related attitudescitations
- 2021ICT, Virtual and In-Person Activity Participation, and Travel Choice Analysiscitations
- 2020Information and Communication Technologies(ICT), Activity Decisions,and Travel Choices: 20 years into the Second Millennium and where do we go next?
- 2020Are millennials more multimodal? A latent-class cluster analysis with attitudes and preferences among millennial and Generation X commuters in Californiacitations
- 2019Millennials in cities: Comparing travel behaviour trends across six case study regionscitations
- 2018Projecting travelers into a world of self-driving vehicles: estimating travel behavior implications via a naturalistic experimentcitations
- 2015The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?citations
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document
Adoption of Telecommuting and Changes in Travel Behavior in Southern California During the COVID-19 Pandemic
Abstract
One of the major impacts of the COVID-19 pandemic on society has been the massive adoption of telecommuting, and its related changes in travel choices. Using data collected in the greater Los Angeles region in the Fall 2020, this chapter examines the topic through the analysis of the changes in travel behavior among workers who adopted telecommuting in some capacity versus workers who did not telecommute during the pandemic. We analyze data from a cross-sectional survey conducted among 4,045 local residents to examine key sociodemographic characteristics of these two groups and their changes in travel behavior. We observe some major demographic differences between the telecommuting and non-telecommuting respondent groups, with non-telecommuters more likely to be non-white, younger, and with lower household income than telecommuters. At the time of the data collection, all groups reported lower average trip frequency across all travel modes and trip purposes, and reduced vehicle-miles traveled (VMT) as well. However, we observed high average monthly frequency of use of private vehicles and active travel modes for non-commute travel, in some cases indicating an increase from the previous year during the same period, as travelers avoided shared modes of travel during the pandemic.
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