Skip to main content

A Systematic Literature Review on the Interaction Between COVID-19 and Transportation

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13097))

Abstract

The application of human factors and ergonomics in transportation is an example of human-automation interaction. Since the year 2020, the covid-19 pandemic has become an emerging factor that interacts with transportation from epidemiological and ergonomic perspectives. This study aims at capturing the emerging trends of covid-19 related human factors in transportation through conclusions from a systematic literature review of relevant publications. Analyses of content and bibliometrics were accomplished by using tools such as VOS Viewer, Citespace, Harzing, and MaxQDA to establish the findings of emerging trends in this field. Key findings from these analyses are: (1) Since the start of the covid 19, countries over the world have administered a variety of travel-related controls in an attempt to contain or slow down the spread of the virus both domestically and internationally. (2) The enforced travel restrictions not only impacted the spread of the pandemic but also transformed people’s activity and travel patterns into a new form. (3) The altered activity and travel patterns further brought changes in transportation policy design, air quality control, and industry disruptions. (4) The pandemic has motivated people to adopt new HCI technologies, and some previously HCI technologies are being challenged because of the pandemic mitigation policies.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Salvendy, G.: Handbook of Human Factors and Ergonomics, 4th edn. Wiley, Hoboken (2012)

    Google Scholar 

  2. Schwanitz, S., Wittkowski, M., Rolny, V., Basner, M.: Pressure variations on a train - Where is the threshold to railway passenger discomfort? Appl. Ergon. 44(2), 200–209 (2013). https://doi.org/10.1016/j.apergo.2012.07.003

    Article  Google Scholar 

  3. Nakamura, H., Managi, S.: Airport risk of importation and exportation of the COVID-19 pandemic. Transp. Policy 96, 40 (Sep. 2020). https://doi.org/10.1016/j.tranpol.2020.06.018

    Article  Google Scholar 

  4. Tirachini, A., Cats, O.: COVID-19 and public transportation: current assessment, prospects, and research needs. J. Public Transp. 22(1), 1–34 (2020). https://doi.org/10.5038/2375-0901.22.1.1

    Article  Google Scholar 

  5. Ortego, J., Andara, R., Navas, L.M., Vásquez, C.L., Ramírez-Pisco, R.: Impact of the Covid-19 pandemic on traffic congestion in Latin American cities: an updated five-month study. In: Smart Cities, pp. 216–229 (2021)

    Google Scholar 

  6. Kutela, B., Novat, N., Langa, N.: Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach. Sustain. Cities Soc. 67(September 2020), 102729 (2021). https://doi.org/10.1016/j.scs.2021.102729

  7. Guo, F., Li, F., Lv, W., Liu, L., Duffy, V.G.: Bibliometric analysis of affective computing researches during 1999–2018. Int. J. Hum. Comput. Interact. 36(9), 801–814 (2020). https://doi.org/10.1080/10447318.2019.1688985

    Article  Google Scholar 

  8. Duffy, G.A., Duffy, V.G.: Systematic literature review on the effect of human error in environmental pollution. In: Duffy, V.G. (ed.) HCII 2020. LNCS, vol. 12199, pp. 228–241. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49907-5_16

    Chapter  Google Scholar 

  9. Hobbs, J.E.: Food supply chains during the COVID-19 pandemic. Can. J. Agric. Econ. Can. D Agroecon. 68(2), 171–176 (Jun. 2020). https://doi.org/10.1111/cjag.12237

    Article  Google Scholar 

  10. Jia, J.S., Lu, X., Yuan, Y., Xu, G., Jia, J., Christakis, N.A.: Population flow drives spatio-temporal distribution of COVID-19 in China. Nature 582(7812), 389+ (2020). https://doi.org/10.1038/s41586-020-2284-y

  11. Chinazzi, M., et al.: The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. Science (80-. ) 368(6489), 395–400 (2020). https://doi.org/10.1126/science.aba9757.

  12. Kraemer, M.U.G., et al.: The effect of human mobility and control measures on the COVID-19 epidemic in China. Science (80-. ) 368(6490), 493–497 (2020). https://doi.org/10.1126/science.abb4218

  13. Le Quéré, C., et al.: Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement. Nat. Clim. Chang. 10(7), 647–653 (2020). https://doi.org/10.1038/s41558-020-0797-x

    Article  Google Scholar 

  14. Sun, X., Wandelt, S., Zhang, A.: How did COVID-19 impact air transportation? A first peek through the lens of complex networks. J. Air Transp. Manag. 89, 101928 (2020). https://doi.org/10.1016/j.jairtraman.2020.101928

    Article  Google Scholar 

  15. Oum, T.H., Wang, K.: Socially optimal lockdown and travel restrictions for fighting communicable virus including COVID-19. Transp. Policy 96, 94 (2020). https://doi.org/10.1016/j.tranpol.2020.07.003

    Article  Google Scholar 

  16. De Vos, J.: The effect of COVID-19 and subsequent social distancing on travel behavior. Transp. Res. Interdiscip. Perspect. 5, 100121 (2020). https://doi.org/10.1016/j.trip.2020.100121

    Article  Google Scholar 

  17. Teixeira, J.F., Lopes, M.: The link between bike sharing and subway use during the COVID-19 pandemic: the case-study of New York’s Citi Bike. Transp. Res. Interdiscip. Perspect. 6, 100166 (2020). https://doi.org/10.1016/j.trip.2020.100166

    Article  Google Scholar 

  18. Dantas, G., et al.: The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro, Brazil. Sci. Total Environ. 729, 139085 (2020). https://doi.org/10.1016/j.scitotenv.2020.139085

  19. Le, T., et al.: Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China. Science (80-. ) 369(6504), 702–706 (2020). https://doi.org/10.1126/science.abb7431

  20. Budd, L., Ison, S.: Responsible Transport: a post-COVID agenda for transport policy and practice. Transp. Res. Interdiscip. Perspect. 6, 100151 (2020). https://doi.org/10.1016/j.trip.2020.100151

    Article  Google Scholar 

  21. Wu, J.T., Leung, K., Leung, G.M.: Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet 395(10225), 689–697 (2020). https://doi.org/10.1016/S0140-6736(20)30260-9

    Article  Google Scholar 

  22. Ramanathan, K., et al.: Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395(January), 497–506 (2020)

    Google Scholar 

  23. Yamani, Y., Long, S.K., Itoh, M.: Human-automation trust to technologies for naive users amidst and following the COVID-19 pandemic. Hum. Factors 62(7), 1087–1094 (Nov. 2020). https://doi.org/10.1177/0018720820948981

    Article  Google Scholar 

  24. Liu, T., et al.: The role of the Hercules autonomous vehicle during the COVID-19 pandemic use cases for an autonomous logistic vehicle for contactless goods transportation. IEEE Robot. Autom. Mag. 28(1), 48–58 (2021). https://doi.org/10.1109/MRA.2020.3045040

  25. Stephanidis, C., et al.: Seven HCI grand challenges. Int. J. Hum. Comput. Interact. 35(14), 1229–1269 (2019). https://doi.org/10.1080/10447318.2019.1619259

    Article  Google Scholar 

  26. Choi, J.K., Ji, Y.G.: Investigating the importance of trust on adopting an autonomous vehicle. Int. J. Hum. Comput. Interact. 31(10), 692–702 (2015). https://doi.org/10.1080/10447318.2015.1070549

    Article  Google Scholar 

  27. Chakraborty, B.K., Sarma, D., Bhuyan, M.K., MacDorman, K.F.: Review of constraints on vision-based gesture recognition for human-computer interaction. IET Comput. Vis. 12(1), 3–15 (2018). https://doi.org/10.1049/iet-cvi.2017.0052

    Article  Google Scholar 

  28. Zhang, W., Smith, M.L., Smith, L.N., Farooq, A.: Gender and gaze gesture recognition for human-computer interaction. Comput. Vis. Image Underst. 149, 32–50 (2016). https://doi.org/10.1016/j.cviu.2016.03.014

    Article  Google Scholar 

  29. NSF Award Search: Award # 1901966 - TRAVEL: Travel to Workshop on Behavioral Risk Modeling for Pandemic Prevention and Response. https://nsf.gov/awardsearch/showAward?AWD_ID=1901966&HistoricalAwards=false. Accessed 29 Apr 2021

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yan Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chen, Y., Duffy, V.G. (2021). A Systematic Literature Review on the Interaction Between COVID-19 and Transportation. In: Stephanidis, C., et al. HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry. HCII 2021. Lecture Notes in Computer Science(), vol 13097. Springer, Cham. https://doi.org/10.1007/978-3-030-90966-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-90966-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90965-9

  • Online ISBN: 978-3-030-90966-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics