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

被引:523
作者
de Haas, Mathijs [1 ]
Faber, Roel [1 ]
Hamersma, Marije [1 ]
机构
[1] KiM Netherlands Inst Transport Policy Anal, Bezuidenhoutseweg 20, NL-2594 AV The Hague, Netherlands
关键词
Travel behaviour; COVID-19; Coronavirus; Longitudinal travel data; Netherlands Mobility Panel (MPN); Panel data; SOCIAL NETWORKS; CENTRALITY; POWER; RESILIENCE; SCIENCE;
D O I
10.1016/j.trip.2020.100150
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
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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页数:11
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共 106 条
[1]  
Abbas A., 2015, 2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC). Proceedings, P1, DOI 10.1109/PVSC.2015.7355622
[2]   Hurricane Sandy: Lessons Learned, Again [J].
Abramson, David M. ;
Redlener, Irwin .
DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS, 2012, 6 (04) :328-329
[3]   Statistical mechanics of complex networks [J].
Albert, R ;
Barabási, AL .
REVIEWS OF MODERN PHYSICS, 2002, 74 (01) :47-97
[4]   Error and attack tolerance of complex networks [J].
Albert, R ;
Jeong, H ;
Barabási, AL .
NATURE, 2000, 406 (6794) :378-382
[5]   powerlaw: A Python']Python Package for Analysis of Heavy-Tailed Distributions [J].
Alstott, Jeff ;
Bullmore, Edward T. ;
Plenz, Dietmar .
PLOS ONE, 2014, 9 (01)
[6]  
ANDERSON R M, 1991
[7]  
[Anonymous], 2013, P 2 ACM SIGKDD INT W, DOI DOI 10.1145/2505821.2505823
[8]  
[Anonymous], 2010, P 19 INT C WORLD WID, DOI [DOI 10.1145/1772690.1772777, DOI 10.1145/1772690.17727777,12]
[9]   Collective Response of Human Populations to Large-Scale Emergencies [J].
Bagrow, James P. ;
Wang, Dashun ;
Barabasi, Albert-Laszlo .
PLOS ONE, 2011, 6 (03)
[10]   Technological networks and the spread of computer viruses [J].
Balthrop, J ;
Forrest, S ;
Newman, MEJ ;
Williamson, MM .
SCIENCE, 2004, 304 (5670) :527-529