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Cited by 734Transportation Planning and OptimizationCOVID-19 Pandemic ImpactsHuman Mobility and Location-Based Analysis

How COVID-19 and the Dutch ‘intelligent lockdown’ change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands

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de Haas, Mathijs, Faber, Roel, Hamersma, Marije·2020·Transportation Research Interdisciplinary Perspectives
DOI 10.1016/j.trip.2020.100150PMC PMC7284275
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Abstract

COVID-19 has massively affected the lives of people all over the world. This paper presents first insights in current and potential future effects of the virus and the Dutch government's 'intelligent lockdown' on people's activities and travel behaviour. Findings are based on a representative sample of about 2500 respondents from the Netherlands Mobility Panel (MPN). We show that approximately 80% of people reduced their activities outdoors, with a stronger decrease for older people. 44% of workers started or increased the amount of hours working from home and 30% have more remote meetings. Most of these workers report positive experiences. Students and school pupils, however, are mostly not happy with following education from home. Furthermore, the amount of trips and distance travelled dropped by 55% and 68% respectively when compared to the fall of 2019. So-called 'roundtrips' (e.g. a walking or cycling tour) gained in popularity. People are currently more positive towards the car and far more negative towards public transport. Changes in outdoor activities seem to be temporal, with over 90% of people who currently reduced their outdoor activities not expecting to continue this behaviour in the future after corona. However, 27% of home-workers expect to work from home more often in the future. In addition, 20% of people expect to cycle and walk more and 20% expect to fly less in the future. These findings show that the coronavirus crisis might result in structural behavioural changes, although future longitudinal analyses are needed to observe these possible structural effects.

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  • Moving to the re-opening phase, predictive analytics can help predict the behavioural changes of employees caused by the COVID-19 crisis and therefore plan for the return to the workplace.

    “Moving to the re-opening phase, predictive analytics can help predict the behavioural changes of employees caused by the COVID-19 crisis (de Haas et al., 2020) and therefore plan for the return to the workplace.”

    From COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2021) · cites this paper as de Haas et al., 2020

  • Survey evidence from lockdown indicates high levels of dissatisfaction with remote learning and considerable disparities in help with schoolwork and learning resources.

    “Despite favorable conditions, survey evidence from lockdown indicates high levels of dissatisfaction with remote learning (38) and considerable disparities in help with schoolwork and learning resources (39).”

    From Learning loss due to school closures during the COVID-19 pandemic (2021) · cites this paper as [38]

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Authors
de Haas, M., Faber, R., & Hamersma, M.
Affiliations
Kennisinstituut voor Mobiliteitsbeleid (NL)
ORCID
Venue
Transportation Research Interdisciplinary Perspectives
Publisher
Elsevier BV
Published
2020-07
Volume
6
Pages
100150
ISSN
2590-1982 (ISSN-L)
DOI
10.1016/j.trip.2020.100150
PMC
PMC7284275
OpenAlex
W3033699538
Cited by
734
References
23
Citations by year
2026: 18 · 2025: 54 · 2024: 93 · 2023: 144 · 2022: 201 · 2021: 191 · 2020: 33
FWCI
126.82
Type
journal article
Language
en
Update notices
erratum (2021-03-01)
Open access
Licence
Locations
  • Transportation Research Interdisciplinary Perspectives (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
Keywords
COVID-19 pandemic, travel behavior, outdoor activities, working from home, remote work, virtual meetings, school closures, cycling, walking, car use, public transport, trip distance, behavior change

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