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

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. © 2021, Springer Nature Switzerland AG.

[1]  Karl F. MacDorman,et al.  Review of constraints on vision-based gesture recognition for human-computer interaction , 2018, IET Comput. Vis..

[2]  Jessica T Davis,et al.  The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak , 2020, Science.

[3]  Gavriel Salvendy,et al.  Handbook of Human Factors and Ergonomics: Salvendy/Handbook of Human Factors 4e , 2012 .

[4]  A. Zhang,et al.  How did COVID-19 impact air transportation? A first peek through the lens of complex networks , 2020, Journal of Air Transport Management.

[5]  João Filipe Teixeira,et al.  The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike , 2020, Transportation Research Interdisciplinary Perspectives.

[6]  J. Hobbs Food supply chains during the COVID‐19 pandemic , 2020, Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie.

[7]  Nuno R. Faria,et al.  The effect of human mobility and control measures on the COVID-19 epidemic in China , 2020, Science.

[8]  S. Managi,et al.  Airport risk of importation and exportation of the COVID-19 pandemic , 2020, Transport Policy.

[9]  Aaron Marcus,et al.  Seven HCI Grand Challenges , 2019, Int. J. Hum. Comput. Interact..

[10]  Alejandro Tirachini,et al.  COVID-19 and Public Transportation: Current Assessment, Prospects, and Research Needs , 2020, Journal of Public Transportation.

[11]  Jonas De Vos,et al.  The effect of COVID-19 and subsequent social distancing on travel behavior , 2020, Transportation Research Interdisciplinary Perspectives.

[12]  Shelby K. Long,et al.  Human–Automation Trust to Technologies for Naïve Users Amidst and Following the COVID-19 Pandemic , 2020, Hum. Factors.

[13]  T. Oum,et al.  Socially optimal lockdown and travel restrictions for fighting communicable virus including COVID-19 , 2020, Transport Policy.

[14]  Yong Gu Ji,et al.  Investigating the Importance of Trust on Adopting an Autonomous Vehicle , 2015, Int. J. Hum. Comput. Interact..

[15]  Boniphace Kutela,et al.  Exploring geographical distribution of transportation research themes related to COVID-19 using text network approach , 2021, Sustainable Cities and Society.

[16]  Wenhao Zhang,et al.  Gender and gaze gesture recognition for human-computer interaction , 2016, Comput. Vis. Image Underst..

[17]  Vincent G. Duffy,et al.  Systematic Literature Review on the Effect of Human Error in Environmental Pollution , 2020, HCI.

[18]  Matthew W. Jones,et al.  Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement , 2020, Nature Climate Change.

[19]  Vincent G. Duffy,et al.  Bibliometric Analysis of Affective Computing Researches during 1999~2018 , 2020, Int. J. Hum. Comput. Interact..

[20]  Mathias Basner,et al.  Pressure variations on a train - Where is the threshold to railway passenger discomfort? , 2013, Applied ergonomics.

[21]  Yuan Wang,et al.  Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China , 2020, Science.

[22]  Impact of the Covid-19 Pandemic on Traffic Congestion in Latin American Cities: An Updated Five-Month Study , 2020, ICSC-Cities.

[23]  S. Ison,et al.  Responsible Transport: A post-COVID agenda for transport policy and practice , 2020, Transportation Research Interdisciplinary Perspectives.

[24]  Guilherme Dantas,et al.  The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro, Brazil , 2020, Science of The Total Environment.

[25]  Jianmin Jia,et al.  Population flow drives spatio-temporal distribution of COVID-19 in China , 2020, Nature.