File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.trip.2023.100757
- Scopus: eid_2-s2.0-85147565478
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Article: Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?
Title | Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue? |
---|---|
Authors | |
Keywords | COVID-19 Local travel behaviour Public transport Subway Traffic congestion |
Issue Date | 1-Mar-2023 |
Publisher | Elsevier |
Citation | Transportation Research Interdisciplinary Perspectives, 2023, v. 18 How to Cite? |
Abstract | COVID-19 continues to threaten the world. Relaxing local travel behaviours on preventing the spread of COVID-19, may increase the infection risk in subsequent waves of SARS-CoV-2 transmission. In this study, we analysed changes in the travel behaviour of different population groups (adult, child, student, elderly) during four pandemic waves in Hong Kong before January 2021, by 4-billion second-by-second smartcard records of subway. A significant continuous relaxation in human travel behaviour was observed during the four waves of SARS-CoV-2 transmission. Residents sharply reduced their local travel by 51.9%, 50.1%, 27.6%, and 20.5% from the first to fourth pandemic waves, respectively. The population flow in residential areas, workplaces, schools, shopping areas, amusement areas and border areas, decreased on average by 30.3%, 33.5%, 41.9%, 58.1%, 85.4% and 99.6%, respectively, during the pandemic weeks. We also found that many other cities around the world experienced a similar relaxation trend in local travel behaviour, by comparing traffic congestion data during the pandemic with data from the same period in 2019. The quantitative pandemic fatigue in local travel behaviour could help governments partially predicting personal protective behaviours, and thus to suggest more accurate interventions during subsequent waves, especially for highly infectious virus variants such as Omicron. |
Persistent Identifier | http://hdl.handle.net/10722/348088 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Nan | - |
dc.contributor.author | Hu, Tingrui | - |
dc.contributor.author | Shang, Shujia | - |
dc.contributor.author | Zhang, Shiyao | - |
dc.contributor.author | Jia, Wei | - |
dc.contributor.author | Chen, Jinhang | - |
dc.contributor.author | Zhang, Zixuan | - |
dc.contributor.author | Su, Boni | - |
dc.contributor.author | Wang, Zhenyu | - |
dc.contributor.author | Cheng, Reynold | - |
dc.contributor.author | Li, Yuguo | - |
dc.date.accessioned | 2024-10-05T00:30:27Z | - |
dc.date.available | 2024-10-05T00:30:27Z | - |
dc.date.issued | 2023-03-01 | - |
dc.identifier.citation | Transportation Research Interdisciplinary Perspectives, 2023, v. 18 | - |
dc.identifier.uri | http://hdl.handle.net/10722/348088 | - |
dc.description.abstract | <p>COVID-19 continues to threaten the world. Relaxing local travel behaviours on preventing the spread of COVID-19, may increase the infection risk in subsequent waves of SARS-CoV-2 transmission. In this study, we analysed changes in the travel behaviour of different population groups (adult, child, student, elderly) during four pandemic waves in Hong Kong before January 2021, by 4-billion second-by-second smartcard records of subway. A significant continuous relaxation in human travel behaviour was observed during the four waves of SARS-CoV-2 transmission. Residents sharply reduced their local travel by 51.9%, 50.1%, 27.6%, and 20.5% from the first to fourth pandemic waves, respectively. The population flow in residential areas, workplaces, schools, shopping areas, amusement areas and border areas, decreased on average by 30.3%, 33.5%, 41.9%, 58.1%, 85.4% and 99.6%, respectively, during the pandemic weeks. We also found that many other cities around the world experienced a similar relaxation trend in local travel behaviour, by comparing traffic congestion data during the pandemic with data from the same period in 2019. The quantitative pandemic fatigue in local travel behaviour could help governments partially predicting personal protective behaviours, and thus to suggest more accurate interventions during subsequent waves, especially for highly infectious virus variants such as Omicron.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Transportation Research Interdisciplinary Perspectives | - |
dc.subject | COVID-19 | - |
dc.subject | Local travel behaviour | - |
dc.subject | Public transport | - |
dc.subject | Subway | - |
dc.subject | Traffic congestion | - |
dc.title | Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue? | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.trip.2023.100757 | - |
dc.identifier.scopus | eid_2-s2.0-85147565478 | - |
dc.identifier.volume | 18 | - |
dc.identifier.eissn | 2590-1982 | - |
dc.identifier.issnl | 2590-1982 | - |