Spatial data mining of public transport incidents reported in social media

Raczycki, Kamil; Szymański, Marcin; Yeliseyenka, Yahor; Szymański, Piotr; Kajdanowicz, Tomasz

doi:10.1145/3486629.3490696

Cited by 2 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proportion of positive sentiment was highest at 4 p.m. and 12 a.m., with the most tweets generated around rush hours [19]. Raczyncki et al studied daily social media posts and comments on public transit events in Poland [20]. The authors developed a typology of transit information and a database of transit stop names in Poland.…”

Section: Literature Reviewmentioning

confidence: 99%

Utilizing Social Media Data for Estimating Transit Performance Metrics

Kamga,

Kish,

Mudigonda

et al. 2023

Sustainability

View full text Add to dashboard Cite

In this paper, a methodology using text and sentiment analysis of social media data is proposed to determine performance metrics that customers frequently mentioned when riding the New York Transit system and how they compare to those reported by the transit agency. This method is carried out by analyzing Twitter data collected from users mentioning their transit experience and recognizing trends regarding sentiment. The results show that customers mostly express negative over positive experiences about their transit services in terms of perceptions and expectations. Transit users are more critical about wait times and delays and notice the positive factors during service, such as system aesthetics, train speed, station cleanliness, and safety (in that order). The data analyzed also provides insights on locations and transit lines where there are frequent occurrences of customer issues. The proposed methodology provides a relevant contribution from a practical viewpoint because performance metrics are important factors to consider by transit operators which are exploring new practices to retain and attract ridership, given that transit systems are generally considered among the sustainable modes of transportation.

show abstract

Section: Literature Reviewmentioning

confidence: 99%