IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Use of Traffic Simulation to Analyze the Changes in City Mobility During the COVID-19 Pandemic

Use of Traffic Simulation to Analyze the Changes in City Mobility During the COVID-19 Pandemic
View Sample PDF
Author(s): Simona Šinko (University of Maribor, Slovenia), Bojan Rupnik (University of Maribor, Slovenia) and Roman Gumzej (University of Maribor, Slovenia)
Copyright: 2022
Pages: 16
Source title: Logistics and Supply Chain Management in the Globalized Business Era
Source Author(s)/Editor(s): Lincoln C. Wood (University of Otago, New Zealand) and Linh N.K. Duong (University of the West of England, Bristol, UK)
DOI: 10.4018/978-1-7998-8709-6.ch003

Purchase

View Use of Traffic Simulation to Analyze the Changes in City Mobility During the COVID-19 Pandemic on the publisher's website for pricing and purchasing information.

Abstract

It seems that the COVID-19 pandemic, which started in December 2019, will have longer and more profound consequences on our lives than initially foreseen. Among the most obvious are everyday decisions about the mode of transport. From related research, it can be seen that the most affected transport mode is public transport, which had the greatest decline. The reason for lesser use of public transport is in complete closure of public transport in some parts of the world. However, where this measure has not been applied, the reason for the reduction is people's fear of infection when using public transport or any shared modes of transportation. The fear stems from the fact that the COVID-19 virus is spreading extremely fast in densely populated rooms. All these changes are affecting the changes in city mobility. Related research shows a decrease of mobility in general and an increase in the use of individual modes of transportation. Distinct changes can be observed in different environments as compared to previous travel behaviour.

Related Content

Pedro B. Agua, Anacleto Correia, Armindo S. Frias. © 2022. 23 pages.
Kripanshu Vora. © 2022. 27 pages.
Simona Šinko, Bojan Rupnik, Roman Gumzej. © 2022. 16 pages.
Daniel Londono-Bernal, Adil Hammadi, Torsten Reiners. © 2022. 33 pages.
Panagiotis Kotsios, Dimitrios Folinas. © 2022. 15 pages.
Olcay Polat. © 2022. 22 pages.
Saibal Kumar Saha, Sangita Saha, Ajeya Jha. © 2022. 32 pages.
Body Bottom