Insights into the Mobility Pattern of Australians during COVID-19
Abstract
:1. Introduction
2. Materials and Methods
3. Impact on Transportation
- A greater number of individuals share a common space for a prolonged duration, with limited means of ventilation.
- Users of public transport comprising the elderly and people with movement disabilities are at a higher risk of catching the virus.
- Several exposed surfaces (i.e., the railings, doors, tickets, farebox and straps) that have been touched by many people may lead to the vigorous spread of the virus.
- There is a lack of control or method of pre-screening people before boarding public transport.
3.1. Economic Impact on the Transport Industry
3.2. Travel Restrictions
3.3. Public Transport
3.4. Change in the Mode of Transport
3.5. Travelling during COVD-19
4. Economic and Social Impact
5. Flexible Working Arrangements
6. Shopping Patterns of People
7. Discussion
8. Conclusions
- The public transport usage dropped to 46%, visits to public places dropped to 23% and only 15% of employees worked from their offices.
- The preference of working conditions in different states of Australia was evaluated, and it was found that more than 40% of the employees are willing to go back to their office working environment, while 15% are willing to continue working from home.
- Australia has observed the highest record of online shopping ever, increasing to 41% in April 2020, which was 17% the same time in 2019.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Country | Cases | Deaths | Region |
---|---|---|---|
United States | 36,518,948 | 632,987 | North America |
India | 31,934,455 | 427,892 | Asia |
Brazil | 20,151,779 | 563,082 | South America |
Russia | 6,447,750 | 164,881 | Europe |
Colombia | 4,834,634 | 122,277 | South America |
Spain | 4,588,132 | 82,006 | Europe |
Argentina | 5,012,754 | 107,302 | South America |
Peru | 2,124,128 | 196,873 | South America |
Mexico | 2,964,244 | 244,248 | North America |
South Africa | 2,523,488 | 74,623 | Africa |
Country of Citizenship | May 2019 | May 2020 | Apr 2021 | May 2021 | May 2019 to May 2021 % Change |
---|---|---|---|---|---|
New Zealand | 152,810 | 2320 | 20,300 | 52,280 | −65.8% |
UK (b) | 52,270 | 540 | 1190 | 2440 | −95.3% |
China (c) | 123,570 | 620 | 1540 | 1920 | −98.4% |
India | 62,220 | 1310 | 1790 | 1400 | −97.8% |
USA | 56,840 | 300 | 830 | 1080 | −98.1% |
Philippines | 23,010 | 250 | 570 | 870 | −96.2% |
Vanuatu | 1060 | 0 | 510 | 600 | −43.6% |
South Africa | 5110 | 170 | 350 | 460 | −90.9% |
Japan | 31,050 | 110 | 320 | 420 | −98.6% |
Malaysia | 51,730 | 80 | 300 | 410 | −99.2% |
The Proportion of Days WFH | Before the Onset of COVID-19 | Wave 1 | Wave 2 | Future of Days WFH |
---|---|---|---|---|
0% | 71% | 39% | 45% | 38% |
Up to 20% | 7% | 1% | 2% | 4% |
21–40% | 4% | 3% | 2% | 10% |
41–60% | 3% | 4% | 4% | 11% |
61–80% | 2% | 3% | 4% | 8% |
100% | 14% | 50% | 43% | 29% |
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Munawar, H.S.; Khan, S.I.; Qadir, Z.; Kiani, Y.S.; Kouzani, A.Z.; Mahmud, M.A.P. Insights into the Mobility Pattern of Australians during COVID-19. Sustainability 2021, 13, 9611. https://doi.org/10.3390/su13179611
Munawar HS, Khan SI, Qadir Z, Kiani YS, Kouzani AZ, Mahmud MAP. Insights into the Mobility Pattern of Australians during COVID-19. Sustainability. 2021; 13(17):9611. https://doi.org/10.3390/su13179611
Chicago/Turabian StyleMunawar, Hafiz Suliman, Sara Imran Khan, Zakria Qadir, Yusra Sajid Kiani, Abbas Z. Kouzani, and M. A. Parvez Mahmud. 2021. "Insights into the Mobility Pattern of Australians during COVID-19" Sustainability 13, no. 17: 9611. https://doi.org/10.3390/su13179611
APA StyleMunawar, H. S., Khan, S. I., Qadir, Z., Kiani, Y. S., Kouzani, A. Z., & Mahmud, M. A. P. (2021). Insights into the Mobility Pattern of Australians during COVID-19. Sustainability, 13(17), 9611. https://doi.org/10.3390/su13179611