Modelling urban mode choice behavior during the COVID-19 pandemic in Switzerland using MDCEV models
- Working Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
In this paper we describe and model the behavioral response of the COVID-19 pandemic in Switzerland. We use the MOBIS-COVID GPS-tracking dataset which includes a pre-pandemic reference base. We transform the trip-level data in weekly distance proportions per mode per week, and model the data using a multiple discrete-continuous extreme value (MDCEV) model. We derive four distinct segments from September 2019 until the end of 2020 and use these to uncover natural and forced behavioral adaptions. The descriptive and model estimation results confirm the trends partly observed around the globe, i.e. a large decrease in public transport usage, and a cycling boom. We further provide behavioral insights as well as policy recommendations. Show more
Journal / seriesArbeitsberichte Verkehrs- und Raumplanung
PublisherIVT, ETH Zurich
SubjectMDCEV; Discrete choice; Mode choice; MOBIS; COVID-19; Travel behavior
Organisational unit03521 - Axhausen, Kay W. / Axhausen, Kay W.
02655 - Netzwerk Stadt und Landschaft D-ARCH
NotesPaper accepted for presentation at the Transportation Research Board 2022 Annual Meeting.
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