Modeling Urban Mode Choice Behavior During the COVID-19 Pandemic in Switzerland Using Mixed Multiple Discrete-Continuous Extreme Value Models
Modeling Urban Mode Choice Behavior During the COVID-19 Pandemic in Switzerland Using Mixed Multiple Discrete-Continuous Extreme Value Models
- New search for: Meister, Adrian
- Further information on Meister, Adrian:
-
https://orcid.org/https://orcid.org/0000-0002-3350-9044
- New search for: Mondal, Aupal
- New search for: Asmussen, Katherine E.
- Further information on Asmussen, Katherine E.:
-
https://orcid.org/https://orcid.org/0000-0002-5615-0708
- New search for: Bhat, Chandra
- Further information on Bhat, Chandra:
-
https://orcid.org/https://orcid.org/0000-0002-0715-8121
- New search for: Axhausen, Kay W.
- Further information on Axhausen, Kay W.:
-
https://orcid.org/https://orcid.org/0000-0003-3331-1318
- New search for: Meister, Adrian
- Further information on Meister, Adrian:
-
https://orcid.org/https://orcid.org/0000-0002-3350-9044
- New search for: Mondal, Aupal
- New search for: Asmussen, Katherine E.
- Further information on Asmussen, Katherine E.:
-
https://orcid.org/https://orcid.org/0000-0002-5615-0708
- New search for: Bhat, Chandra
- Further information on Bhat, Chandra:
-
https://orcid.org/https://orcid.org/0000-0002-0715-8121
- New search for: Axhausen, Kay W.
- Further information on Axhausen, Kay W.:
-
https://orcid.org/https://orcid.org/0000-0003-3331-1318
This paper describes and models the behavioral response to the COVID-19 pandemic in Switzerland. The MOBIS-COVID GPS tracking dataset, which includes a pre-pandemic reference base, is used. Trip-level data are transformed in weekly distance proportions per mode per week, and the data are modeled using a mixed multiple discrete-continuous extreme value (MMDCEV) model. Four distinct segments are derived, from September 2019 until the end of 2020, and used to uncover natural and forced behavioral adaptations. The descriptive and model estimation results confirm the trends partly observed around the globe, that is, a large decrease in public transport usage, recovered car usage, and a cycling boom. Behavioral insights are further provided as well as policy recommendations.
Document information
Modeling Urban Mode Choice Behavior During the COVID-19 Pandemic in Switzerland Using Mixed Multiple Discrete-Continuous Extreme Value Models
Transportation Research Record
2022-04-04
Article (Journal)
Electronic Resource
English
Similar titles
| Transportation Research Record | 2022