365 days of COVID19 in Switzerland: Results of the GPS tracking panel

Research Collection

Presentation

365 days of COVID19 in Switzerland Results of the GPS tracking panel

Author(s):

Axhausen, Kay W.

Publication Date:

2021-02

Permanent Link:

https://doi.org/10.3929/ethz-b-000467323

Rights / License:

In Copyright - Non-Commercial Use Permitted

This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use.

ETH Library

Preferred citation style

Axhausen, K.W. (2020) 365 days of COVID19 in Switzerland: Results of the

GPS tracking panel, presentation at the NUAA International Workshop for

Air Transportation Management, Zoom, February 2021.

365 days of COVID19 in Switzerland: Results of the GPS tracking panel

KW Axhausen IVT

ETH Zürich

February 2021

Acknowledgements

ETH Zürich

• J Molloy

• C Tchervenkov

• T Schatzmann

WWZ, Universität Basel

• B Hintermann

• B Schoeman

MOBIS Sample

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MOBIS sample of fall 2019

• A virtual mobility pricing study with car and transit users

• Yes, the traveller respond substantially

• Agglomerations of the German and French speaking Switzerland

• 3750 participants for 8 weeks; 100 Franks incentive

• About 25% of eligible participated

• Roughly representative on the usual dimensions

• Catch-a-day app (motion-tag, Berlin)

MOBIS COVID19 sample

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MOBIS/COVID19 sample since March 2020

MOBIS/COVID19: Out-of-home share

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Share of mobile persons by day since September 2019

0%

25%

50%

75%

100%

0 28 56 84 112 140 168 196 224 252 280 308 336 364

M o b ile p e rs o n s [% ]

Day of year

MOBIS control group COVID19 2020 COVID19 2021

MOBIS/COVID19: PKm, trips and activity spaces

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Δ% of number of trips and size of activity space

0 1 2 3 4 5

0 100 200 300 400 500

el in e -2 0 1 9 M ar .0 9 M ar .2 3 A p r. 0 6 A p r. 2 0 M ay .0 4 M ay .1 8 Ju n .0 1 Ju n .1 5 Ju n .2 9 Ju l.1 3 Ju l.2 7 A u g. 1 0 A u g. 2 4 Se p .0 7 Se p .2 1 O ct .0 5 O ct .1 9 N o v. 02 N o v. 16 N o v. 30 D e c. 1 4 D e c. 2 8 Ja n .1 1 N u m b e r o f tr ip s/ d ay

A ct iv it y sp ac e [k m 2 ]

Weekday - Activity space Weekend ..

Weekday - Trips

Weekend ..

Δ% in PKm by household size

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Shift in temporal patterns

Δ% change in PKm by work location: WFH impact?

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-50%

-25%

0%

25%

02.03 30.03 27.04 25.05 22.06 20.07 17.08 14.09 12.10 09.11 07.12 04.01

% c h an ge in P K m a ga in st b as el in e

Home office Mixed On-site

MOBIS/COVID19: Mode choice

Working day Pkm by mode and phase of the pandemic

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MOBIS/COVID19: PKm change by mode

-100.0%

-50.0%

0.0%

50.0%

100.0%

150.0%

B as e lin e 09 .0 3 .2 0 23 .0 3 .2 0 06 .0 4 .2 0 20 .0 4 .2 0 04 .0 5 .2 0 18 .0 5 .2 0 01 .0 6 .2 0 15 .0 6 .2 0 29 .0 6 .2 0 13 .0 7 .2 0 27 .0 7 .2 0 10 .0 8 .2 0 24 .0 8 .2 0 07 .0 9 .2 0 21 .0 9 .2 0 05 .1 0 .2 0 19 .1 0 .2 0 02 .1 1 .2 0 16 .1 1 .2 0 30 .1 1 .2 0 14 .1 2 .2 0 28 .1 2 .2 0 11 .0 1 .2 1

% c h an ge ^Bike

Walking

Bus

Tram

Train

Car

All

COVID19 door-to-door car speeds

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Dilemma of transport policy and long term changes

Dilemma of transport policy

Accessibility ∼ Productivity ∼ Social welfare

Car accessibility ∼ Car ownership ∼ 1/Commitment to transit use Accessibility ∼ VMT ∼ CO

emission for current fleet technology Accessibility ∼ Sprawl ∼ VMT

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Challenge of COVID19 for spatial policy making

Pandemic threat ∼ Sprawl ∼ VMT

Pandemic threat ∼ WFH ∼ VMT without control (reorganisation of time)

Pandemic threat ∼ WFH ∼ 1/productivity without household reallocation of tasks

Sprawl and WFH ∼ 1/commitment to transit use ∼ congestion

Sprawl ∼ 1/spatial equity

Questions ?

ivtmobis.ethz.ch/mobis/covid19/

www.ivt.ethz.ch

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