Behavior of Traffic Congestion and Public Transport in Eight Large Cities in Latin America during the COVID-19 Pandemic
| Autor: | Luis M. Navas-Gracia, Melva Inés Gómez-Caicedo, Jesús Ortego-Osa, Rodrigo Ramírez-Pisco, Renato Andara, Mercedes Gaitán-Angulo, Carmen Vásquez |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
| Rok vydání: | 2021 |
| Předmět: |
Technology
Economic growth Latin Americans Coronavirus disease 2019 (COVID-19) QH301-705.5 QC1-999 daily infections by COVID-19 Dashboard (business) Daily infections by COVID-19 Local transit -- Latin America COVID-19 (Malaltia) Traffic congestion -- Latin America 03 medical and health sciences COVID-19 (Disease) 0302 clinical medicine Public urban transport 0502 economics and business Pandemic traffic congestion General Materials Science Statistical analysis 030212 general & internal medicine Biology (General) QD1-999 Instrumentation Fluid Flow and Transfer Processes 050210 logistics & transportation business.industry Physics Process Chemistry and Technology 05 social sciences General Engineering Public institution Engineering (General). Civil engineering (General) Computer Science Applications Chemistry Traffic congestion Circulació -- Congestió -- Amèrica Llatina Public transport Transport públic -- Amèrica Llatina TA1-2040 Enginyeria civil::Infraestructures i modelització dels transports::Transport urbà [Àrees temàtiques de la UPC] business public urban transport |
| Zdroj: | Applied Sciences Volume 11 Issue 10 Applied Sciences, Vol 11, Iss 4703, p 4703 (2021) UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| ISSN: | 2076-3417 |
| Popis: | This comparative study analyzes the impact of the COVID-19 pandemic on motorized mobility in eight large cities of five Latin American countries. Public institutions and private organizations have made public data available for a better understanding of the contagion process of the pandemic, its impact, and the effectiveness of the implemented health control measures. In this research, data from the IDB Invest Dashboard were used for traffic congestion as well as data from the Moovit© public transport platform. For the daily cases of COVID-19 contagion, those published by Johns Hopkins Hospital University were used. The analysis period corresponds from 9 March to 30 September 2020, approximately seven months. For each city, a descriptive statistical analysis of the loss and subsequent recovery of motorized mobility was carried out, evaluated in terms of traffic congestion and urban transport through the corresponding regression models. The recovery of traffic congestion occurs earlier and faster than that of urban transport since the latter depends on the control measures imposed in each city. Public transportation does not appear to have been a determining factor in the spread of the pandemic in Latin American cities. |
| Databáze: | OpenAIRE |
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