Public Transport Tweets in London, Madrid and Prague in the COVID-19 Period—Temporal and Spatial Differences in Activity Topics

Martin Zajac, Jiří Horák (), Joaquín Osorio-Arjona, Pavel Kukuliač and James Haworth
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Martin Zajac: Department of Geoinformatics, Faculty of Mining and Geology, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic
Jiří Horák: Department of Geoinformatics, Faculty of Mining and Geology, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic
Joaquín Osorio-Arjona: Department of Population, Centro de Ciencias Humanas y Sociales CSIC, 28037 Madrid, Spain
Pavel Kukuliač: Department of Geoinformatics, Faculty of Mining and Geology, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic
James Haworth: Department of Civil, Environmental and Geomatic Engineering, University College London, London WC1E 6BT, UK

Sustainability, 2022, vol. 14, issue 24, 1-25

Abstract: Public transport requires constant feedback to improve and satisfy daily users. Twitter offers monitoring of user messages, discussion and emoticons addressed to official transport provider accounts. This information can be particularly useful in delicate situations such as management of transit operations during the COVID-19 pandemic. The behaviour of Twitter users in Madrid, London and Prague is analysed with the goal of recognising similar patterns and detecting differences in traffic related topics and temporal cycles. Topics in transit tweets were identified using the bag of words approach and pre-processing in R. COVID-19 is a dominant topic for both London and Madrid but a minor one for Prague, where Twitter serves mainly to deliver messages from politicians and stakeholders. COVID-19 interferes with the meaning of other topics, such as overcrowding or staff. Additionally, specific topics were discovered, such as air quality in Victoria Station, London, or racism in Madrid. For all cities, transit-related tweeting activity declines over weekends. However, London shows much less decline than Prague or Madrid. Weekday daily rhythms show major tweeting activity during the morning in all cities but with different start times. The spatial distribution of tweets for the busiest stations shows that the best-balanced tweeting activity is found in Madrid metro stations.

Keywords: Twitter; public transport; COVID-19; time analysis; text mining (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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