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Study of new forms of urban displacements during COVID-19 by means of the mobile sig application in the city of Arequipa

Valkiria Ibárcena Ibárcena · Estefany Ramos Guerra · Nathaly Martín Díaz · Correa Ussa Jennifer Eliana · Darci Ana Gutierrez-Pinto

3 citations0/0 files storedTransportation Research Interdisciplinary Perspectives

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Urban Transport and Accessibility Transportation Planning and Optimization Human Mobility and Location-Based Analysis

Abstract

The COVID-19 pandemic has caused a shift in urban commute patterns in recent years, demonstrating the cities of Latin America’s typical lack of resiliency. This study’s goal is to examine both motorized and non-motorized types of transportation throughout the pandemic, to comprehend how these new modes of transportation changed. In parallel, an App called CovWay was created to obtain coordinates linked to Geographic Information Systems (GIS) using a quantitative method of spatial interpolation. Based on a statistical reclassification, the presented results are a map of frequencies by displacement. The sample was subjected to an online survey. There is evidence of a break from routine and a switch to new modes of transportation, which may pave the way for the adoption of a more environmentally friendly transportation paradigm.

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2020Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle 2021Transport mode use during the COVID-19 lockdown period in Germany: The car became more important, public transport lost ground 2020Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic 2021Quantifying the impact of COVID-19 on non-motorized transportation: A Bayesian structural time series model 2021Elderly mobility during the COVID-19 pandemic: A qualitative exploration in Kunming, China 2021Role of latent factors and public policies in travel decisions under COVID-19 pandemic: Findings of a hybrid choice model 2021COVID-19 – A window of opportunity for the transition toward sustainable mobility?2017Modelling trip generation using mobile phone data: A latent demographics approach

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