Modeling Urban Mode Choice Behavior During the COVID-19 Pandemic in Switzerland Using Mixed Multiple Discrete-Continuous Extreme Value Models

Meister, Adrian; Mondal, Aupal; Asmussen, Katherine E.; Bhat, Chandra R.; Axhausen, Kay W.

doi:10.1177/03611981221089545

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…The pandemic should not be read as a structural break in mode preferences as only a few parameters were found to differ between the two observation periods. This is in stark contrast to the study by Molloy et al ( 4) and Meister et al (5) who found considerable modal shifts induced by the pandemic. The findings from this work suggest that these changes were not made habitual but can be attributed to the unprecedented circumstances and constraints brought by the pandemic.…”

Section: Resultscontrasting

confidence: 99%

“…A very similar picture is portrayed in Figure 4 where we show average stage lengths and the average number of stages per day and by mode. The bicycle boom described by various authors (e.g., Molloy et al [4] or Meister et al [5]) has its foundation in the peak visible in the year 2020 and in bicycle being the only mode that benefited from restrictive measures. Despite bicycle stage lengths not reaching these very high levels, it is still the case that bicycle usage is slightly higher than during the pandemic.…”

Section: Descriptive Analysis Of Mobility Patternsmentioning

confidence: 99%

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Modal Splits Before, During, and After the Pandemic in Switzerland

Heimgartner,

Axhausen

2023

Transportation Research Record: Journal of the Transportation R

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The MOBIS-Covid data provides a unique opportunity to put mobility adjustments observed during the crisis in perspective. A large panel has been tracked from before the crisis up until the end of 2022. Starting with 1370 participants and observing a gradual drop-off, around 250 kept tracking throughout the whole study period of over 2 years. Switzerland lifted its measures counteracting the virus spread in mid-February 2022, reaching a potential new equilibrium in the months after. Descriptive indicators have been constructed for Switzerland in order to disentangle the narrative of the crisis from the perspective of transport demand. The descriptive findings are supplemented by a mixed multiple discrete-continuous extreme value model (MMDCEV). We find a shift in modal splits away from car and train, where in particular bus could expand its mode share. While the cycling and walking booms were temporary, the bicycle still shows slightly higher mode distance shares. There are observable differences between the working arrangements (home office, mixture and in-office), however, we do not find evidence that preferences differ substantially. This suggests that the working arrangement segments the population along socioeconomic dimensions with different mobility behaviors and mode preferences. Modes are more satiated in the post-pandemic world, hinting that people use fewer modes in their weekly modal mix but use them more intensely. However, the model suggests that the pandemic should not be read as a structural break in mode preferences. We will therefore likely see further convergence to the pre-pandemic equilibrium.

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Section: Resultscontrasting

confidence: 99%

Section: Descriptive Analysis Of Mobility Patternsmentioning

confidence: 99%

Modal Splits Before, During, and After the Pandemic in Switzerland

Heimgartner,

Axhausen

2023

Transportation Research Record: Journal of the Transportation R

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“…Cycling is becoming an increasingly popular mode of transport in many regions of the world. For Switzerland, and similar to other countries, the COVID-19 pandemic has boosted cycling activity (1) on top of a general trend of increased bike usage (2). Apart from their positive effects on health and low road space requirements, private (e)-bikes have very low life-cycle emissions and hence make them ideal to quickly decarbonize a substantial share of urban transport (3).…”

Section: Introductionmentioning

confidence: 99%

Route Choice Modelling for Cyclists on Dense Urban Networks

Meister¹,

Axhausen

Felder³

et al. 2022

SSRN Journal

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“…While many studies focused on mode choice behavior changes related to the pandemic, other studies investigated travel characteristics, such as travel distance. In Switzerland, compared to 2019, the travel distance of all means of transportation decreased by 50% at the beginning of the outbreak, and when the first restriction was implemented, the travel distance of public transportation decreased by more than 90% (Hintermann et al 2023;Marra et al 2022;Meister et al 2022). Using a survey distributed in various countries, found that the percentage of respondents who traveled for a short trip (a distance less than 10 km) dropped from 71% before the pandemic to 45% during the pandemic.…”

Section: Changes In Personal Travel Behavior Based On Surveysmentioning

confidence: 99%

Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility

Lee

Eom

2023

Transportation

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The unprecedented COVID-19 outbreak has significantly influenced our daily life, and COVID-19’s spread is inevitably associated with human mobility. Given the pandemic’s severity and extent of spread, a timely and comprehensive synthesis of the current state of research is needed to understand the pandemic’s impact on human mobility and corresponding government measures. This study examined the relevant literature published to the present (March 2023), identified research trends, and conducted a systematic review of evidence regarding transport’s response to COVID-19. We identified key research agendas and synthesized the results, examining: (1) mobility changes by transport modes analyzed regardless of government policy implementation, using empirical data and survey data; (2) the effect of diverse government interventions to reduce mobility and limit COVID-19 spread, and controversial issues on travel restriction policy effects; and (3) future research issues. The findings showed a strong relationship between the pandemic and mobility, with significant impacts on decreased overall mobility, a remarkable drop in transit ridership, changes in travel behavior, and improved traffic safety. Government implemented various non-pharmaceutical countermeasures, such as city lockdowns, travel restrictions, and social distancing. Many studies showed such interventions were effective. However, some researchers reported inconsistent outcomes. This review provides urban and transport planners with valuable insights to facilitate better preparation for future health emergencies that affect transportation.

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Modeling Urban Mode Choice Behavior During the COVID-19 Pandemic in Switzerland Using Mixed Multiple Discrete-Continuous Extreme Value Models

Cited by 9 publications

References 21 publications

Modal Splits Before, During, and After the Pandemic in Switzerland

Modal Splits Before, During, and After the Pandemic in Switzerland

Route Choice Modelling for Cyclists on Dense Urban Networks

Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility

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