Work

The new normal: effects of COVID-19 on the activity patterns of Bangkok residents based on geotagged Twitter data

Year: 2025

Type: article

Abstract: Geotagged Twitter data can be used to study the behavior of urban residents as they move to different places suited for various activities. In this study, geotagged Twitter data were used to explore the spatiotemporal changes in activity patterns of Bangkok Metropolitan Region (BMR) residents before and during the COVID-19 pandemic. BMR-tagged tweets were collected for 6- month periods in 2019 (i.e. before the pandemic) and in 2021–2022 (i.e. during the pandemic), and different statistical analysis methods were applied to extract temporal patterns and spatial distributions of activities. Both the temporal patterns and spatial distributions of activities showed changes between the two periods. The results showed that residents modified their behavior according to the circumstances and demonstrated that geotagged data can be used in urban studies to understand changes in residents’ behavior and identify the new normal.

Source: Cogent Social Sciences

DOI: 10.1080/23311886.2025.2482114

Authors: Petchpilai Lattanan, Bharis Senivongse, Jirapat Ruamphantong

Institution: Chulalongkorn University

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Good health and well-being

Open Access status: gold

Estimated APC paid: $1,165