Date of this Version
3-20-2021
Document Type
Article
Rights
by-nc-nd
Abstract
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 ridehailing 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 ridehailing 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.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Morshed, Syed Ahnaf; Tanvir, Raihanul Bari; Khan, Sifat Shahriar; and Nur, Shafkath, "Impact of COVID-19 pandemic on ride-hailing services based on large-scale Twitter data analysis" (2021). Coronavirus Research at FIU. 97.
https://digitalcommons.fiu.edu/covid-19_research/97
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