The impact of the COVID-19 pandemic on activity time use and timing behavior in Switzerland
Open access
Autor(in)
Alle anzeigen
Datum
2021-08Typ
- Working Paper
ETH Bibliographie
yes
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Abstract
This paper analyzes the impact of the COVID-19 pandemic on activity time use and timing behaviour in Switzerland. The evaluation is based on mobility tracking data collected in Switzerland during the COVID-19 pandemic. The pandemic has affected the way how people spend their time and schedule their activities throughout the day, subsequently creating new activity patterns. Due to the rare occurrences of pandemics in the recent past, little is known about their implications on the behavioral choices of affected people. This paper analyzes these implications by applying a multiple discrete-continuous choice model on mobility tracking data from Switzerland. The applied model is consistent with the results of the descriptive analysis and shows that the different stages of the pandemic drove changes in the activity patterns. During the lockdown, an increase in home activities comes along with decreases in the other activity types. In the following phases, the trends slowly return to the initial state before the pandemic with progressive relaxation of the measures. In addition, it can be seen that the impact of main drivers such as age, gender, household size, income and weather on time use and activity scheduling varies between phases, activity types and time of day. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000500103Publikationsstatus
publishedZeitschrift / Serie
Arbeitsberichte Verkehrs- und RaumplanungBand
Verlag
IVT, ETH ZurichThema
Activity time use; Timing behaviour; Tracking data; MDCEV modelsOrganisationseinheit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Förderung
198428 - Agent-based tracking of disease spread with dynamic models of travel behaviour in a pandemic (SNF)
Zugehörige Publikationen und Daten
Is previous version of: http://hdl.handle.net/20.500.11850/527953
Anmerkungen
Paper accepted for presentation at the Transportation Research Board 2022 Annual MeetingETH Bibliographie
yes
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