Impact of COVID-19 pandemic on ride-hailing services based on large-scale Twitter data analysis

Ride-hailing services have gained popularity in recent years due to attributes such as reduced travel costs, traffic congestion, and emissions. However, with the impact of COVID-19, the ride-hailing market is estimated to lose its fair share of an uprising as a transportation mode. During normal and...

Full description

Saved in:
Bibliographic Details
Published inJournal of urban management Vol. 10; no. 2; pp. 155 - 165
Main Authors Morshed, Syed Ahnaf, Khan, Sifat Shahriar, Tanvir, Raihanul Bari, Nur, Shafkath
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier 01.06.2021
Elsevier B.V
Subjects
COVID-19
Emotion detection
Ride-hailing
Sentiment analysis
TNC
Twitter data
Ride-hailing
COVID-19
TNC
Sentiment analysis
Twitter data
Emotion detection
Online AccessGet full text

Cover

More Information
Summary:Ride-hailing services have gained popularity in recent years due to attributes such as reduced travel costs, traffic congestion, and emissions. However, with the impact of COVID-19, the ride-hailing market is estimated to lose its fair share of an uprising as a transportation mode. During normal and critical circumstances, ride-hailing service users express their concerns, habits, and emotions through posting on social platforms such as Twitter. Hence, Twitter, as an emerging data source, is an effective and innovative digital platform to observe the rider's behavior in ride-hailing services. This study hydrates large-scale Twitter reactions related to shared mobility to perform comparative sentiment and emotion analysis to understand the impact of COVID-19 on transportation network services in pre-pandemic and during pandemic conditions. Amid pandemic, negative tweets (34%) associated with "sad" (15%) and "anger" (15%) emotions were most prevalent in the dataset.
ISSN:2226-5856
DOI:10.1016/j.jum.2021.03.002