How did micro-mobility change in response to COVID-19 pandemic? : A case study based on spatial-temporal-semantic analytics
(2021) In Computers, Environment and Urban Systems 90.- Abstract
Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by this crisis. However, there is limited research devoted to understanding the rapidly evolving trip patterns of micro-mobility in response to COVID-19. To fill this gap, we analyze the changes in micro-mobility usage before and during the lockdown period exploiting high-resolution micro-mobility trip data collected in Zurich, Switzerland. Specifically, docked bike, docked e-bike, and dockless e-bike are evaluated and compared from the perspective of space, time and semantics. First, the... (More)
Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by this crisis. However, there is limited research devoted to understanding the rapidly evolving trip patterns of micro-mobility in response to COVID-19. To fill this gap, we analyze the changes in micro-mobility usage before and during the lockdown period exploiting high-resolution micro-mobility trip data collected in Zurich, Switzerland. Specifically, docked bike, docked e-bike, and dockless e-bike are evaluated and compared from the perspective of space, time and semantics. First, the spatial and temporal analysis results uncover that the number of trips decreased remarkably during the lockdown period. The striking difference between the normal and lockdown period is the decline in the peak hours of workdays. Second, the origin-destination flows are used to construct spatially embedded networks. The results suggest that the origin-destination pairs remain similar during the lockdown period, while the numbers of trips between each origin-destination pair is reduced due to COVID-19 pandemic. Finally, the semantic analysis is conducted to uncover the changes in trip purpose. It is revealed that the proportions of Home, Park, and Grocery activities increase, while the proportions of Leisure and Shopping activities decrease during the lockdown period. The above results can help planners and policymakers better make evidence-based policies regarding micro-mobility in the post-pandemic society.
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- author
- Li, Aoyong ; Zhao, Pengxiang LU ; Haitao, He ; Mansourian, Ali LU and Axhausen, Kay W.
- organization
- publishing date
- 2021-11
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- COVID-19, Docked and Dockless bike-sharing, Micro-mobility, Spatio-temporal patterns, Trip purpose
- in
- Computers, Environment and Urban Systems
- volume
- 90
- article number
- 101703
- pages
- 17 pages
- publisher
- Elsevier
- external identifiers
-
- pmid:34629583
- scopus:85113292132
- ISSN
- 0198-9715
- DOI
- 10.1016/j.compenvurbsys.2021.101703
- language
- English
- LU publication?
- yes
- additional info
- © 2021 The Authors.
- id
- e04a63d3-ab21-4fba-a360-99327c768806
- date added to LUP
- 2021-09-04 11:25:26
- date last changed
- 2024-04-20 11:37:59
@article{e04a63d3-ab21-4fba-a360-99327c768806,
abstract = {{<p>Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by this crisis. However, there is limited research devoted to understanding the rapidly evolving trip patterns of micro-mobility in response to COVID-19. To fill this gap, we analyze the changes in micro-mobility usage before and during the lockdown period exploiting high-resolution micro-mobility trip data collected in Zurich, Switzerland. Specifically, docked bike, docked e-bike, and dockless e-bike are evaluated and compared from the perspective of space, time and semantics. First, the spatial and temporal analysis results uncover that the number of trips decreased remarkably during the lockdown period. The striking difference between the normal and lockdown period is the decline in the peak hours of workdays. Second, the origin-destination flows are used to construct spatially embedded networks. The results suggest that the origin-destination pairs remain similar during the lockdown period, while the numbers of trips between each origin-destination pair is reduced due to COVID-19 pandemic. Finally, the semantic analysis is conducted to uncover the changes in trip purpose. It is revealed that the proportions of Home, Park, and Grocery activities increase, while the proportions of Leisure and Shopping activities decrease during the lockdown period. The above results can help planners and policymakers better make evidence-based policies regarding micro-mobility in the post-pandemic society.</p>}},
author = {{Li, Aoyong and Zhao, Pengxiang and Haitao, He and Mansourian, Ali and Axhausen, Kay W.}},
issn = {{0198-9715}},
keywords = {{COVID-19; Docked and Dockless bike-sharing; Micro-mobility; Spatio-temporal patterns; Trip purpose}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Computers, Environment and Urban Systems}},
title = {{How did micro-mobility change in response to COVID-19 pandemic? : A case study based on spatial-temporal-semantic analytics}},
url = {{http://dx.doi.org/10.1016/j.compenvurbsys.2021.101703}},
doi = {{10.1016/j.compenvurbsys.2021.101703}},
volume = {{90}},
year = {{2021}},
}