Evidence map›Paper›PMID 37020468›Full record

ArticleCase studies on transport policy2023

Travel behavior and activity resilience regarding the COVID-19 pandemic in Brazil: An approach based on smartphone panel data.

Thayanne Gabryelle Medeiros Ciriaco, Cira Souza Pitombo, Lucas Assirati

Abstract read
In one paragraph

Article in Case studies on transport policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Thayanne Gabryelle Medeiros CiriacoDepartment of Transportation Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil.
Cira Souza PitomboDepartment of Transportation Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil.
Lucas AssiratiDepartment of Transportation Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has caused significant changes around the world. The circumstances resulted in a radical shift in people's lives, including the way they move around the cities and/or carry out their activities. This study carries out a travel behavior analysis using commuting panel data collected over 7 days using smartphones. The study focuses on the Maceió Metropolitan Area (MMA), which is in the state of Alagoas in the northeast region of Brazil. Cluster analysis, using the k-means algorithm, divided the sample into three groups of travel behavior: Group A ("Infrequent travelers, for work or shopping trip purposes and very prone to do remote work"), Group B ("Intermediate travelers, for work or shopping trip purposes and prone to do remote work"), and Group C ("Frequent travelers, for work or meal purchases and not likely to do remote work"). Groups B and C are predominantly formed by individuals who carry out activities that are less likely to do remote work. By analyzing the groups, it is possible to understand the changes that occurred during the period studied (September/October 2020) and what are the expectations for a post-pandemic scenario, associated with each behavioral group. It was observed that "Working" was the main trip purpose during the pandemic and that the possibility of teleworking depends on the type of activity carried out. Making a scale of the resilience of activities considering the replacement of out-of-home activities by in-home remote activities, it can be observed that Group A was the most resilient, followed by Group B and C, respectively. For the post-pandemic scenario, Groups A and B are also the most likely to use Information and Communication Technologies (ICTs) and continue carrying out other remote activities, such as grocery shopping and meals, replacing, in the future, predominantly trips using ICTs.

Indexed as

Case studyCluster analysisDisruptive eventPost-pandemic scenarioRemote activitiesResilience

Identifiers

PMID37020468
PMCPMC10060017

What OpenQuestion holds

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