The Effect of COVID-19 on the Transit System in Two Regions: Japan and USA

Arai, Ismail; El-Tawab, Samy; Salman, Ahmad; Elnoshokaty, Ahmed

doi:10.1109/gcaiot53516.2021.9693002

Cited by 3 publications

(1 citation statement)

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“…Assessing the implications of the COVID-19 pandemic for different regions and identification of measures or actions that help policymakers and traffic planners to better develop sustainable strategies to improve transport system efficiency [31][32][33][34] Internet of Things and Big Data Evaluation of Internet of Things concepts and the 5v's of big data for leveraging the sustainability and resilience of urban mobility systems and providing directions to future research agendas [35][36][37] Given the above-mentioned challenges to traffic flow, city authorities during the COVID-19 pandemic shifted to measures that reduced the need for travel as a response to reduce transmission [38]. This had an impact on how people conduct their work, with more people working from home as compared to the office.…”

Section: Machine Learning and Deep Learningmentioning

confidence: 99%

Assessing Spatial Variations of Traffic Congestion Using Traffic Index Data in a Developing City: Lessons from Johannesburg, South Africa

et al. 2022

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The COVID-19 pandemic has created unforeseen effects in public transport and the mobility of people in cities globally. Johannesburg, being a developing city in one of the most affected countries in Africa during the pandemic, has experienced severe changes in traffic management and travel patterns as a result of the restrictions imposed on movement. Hence, this study examined the spatial variations in traffic during the pandemic. The study utilized data obtained from the TomTom Traffic Index for the city of Johannesburg from 2019 to 2021, with 2019 representing the period pre-COVID-19 with no lockdown restrictions, 2020 representing the period with restricted movement to limit spread of COVID-19, and 2021 representing a period of relaxed and minimized restrictions on movement. Our findings revealed that there was a variation in congestion levels between 2019–2021 with year 2020 having the least congestion from the beginning of the COVID-19 restrictions due to regulations enforced in movement and reduced travel. Our findings further revealed that traffic congestion was higher during weekdays than weekends during the three periods, with mini-bus taxis as the major contributors to congestion. Consequently, there is a need to discourage the use of single occupancy vehicles and invest in more sustainable means of transportation to ease the mobility of people and reduce traffic on major roads.

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