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Title: Investigation of Shifts in Time Use Behavior during the COVID-19 Pandemic: A Mixed Multiple Discrete-Continuous Extreme Value Approach with Panel GPS Data
Accession Number: 01849107
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: Typical patterns of time use and travel behavior have been transformed by the COVID-19 pandemic. The drastic change has been documented in several studies to date, especially in the realm of transport, which have asked respondents about how their behavior has changed compared with their prepandemic routines. This work complements those efforts, offering a valuable evaluation of the decision-making process behind choosing which activities to engage in and for how long. A mixed multiple discrete-continuous extreme value (MMDCEV) model was applied to panel Global Positioning System (GPS) data collected between September 2019 and October 2020. The estimation results uncovered how different demographic and mobility tool ownership characteristics affected the choice of activities and their duration. Additional interaction effects of different time periods exogenously introduced into the model allowed for the assessment of the differential effects of these components. The authors' findings revealed that the choice to participate in out-of-home activities strongly differed with respect to prepandemic conditions. Not only were individuals choosing to spend more time at home during the pandemic, but when they did engage in out-of-home activities, it was also for a shorter duration. Notably, age, gender, education level, and income all affected the propensity to engage in out-of-home activities during the pandemic. These results and their implications for policy as we try to plan for the “new normal” daily life are discussed.
Supplemental Notes: © National Academy of Sciences: Transportation Research Board 2022.
Language: English
Authors: Winkler, CarolineMondal, AupalMesaric, RaphaelAsmussen, KatherineBhat, Chandra RAxhausen, Kay WPublication Date: 2022
Serial:
Transportation Research Record: Journal of the Transportation Research Board
Publisher: Sage Publications, Incorporated Media Type: Web
Features: References
(19)
TRT Terms: Subject Areas: Highways; Planning and Forecasting
Files: TRIS, TRB, ATRI
Created Date: Jun 20 2022 3:02PM
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