L’d Up: Examining the Effects of a New York City Metro Shutdown on Public Discourse Using Twitter Data

Petutschnig, Andreas; Resch, Bernd; Nelles, Jen; Ramasubramanian, Laxmi

doi:10.34726/lbs2019.47

Record link:

https://doi.org/10.34726/lbs2019.47
http://hdl.handle.net/20.500.12708/676

Title:

L’d Up: Examining the Effects of a New York City Metro Shutdown on Public Discourse Using Twitter Data

Citation:

Petutschnig, A., Resch, B., Nelles, J., & Ramasubramanian, L. (2019). L’d Up: Examining the Effects of a New York City Metro Shutdown on Public Discourse Using Twitter Data. In G. Gartner & H. Huang (Eds.), LBS 2019 : Adjunct Proceedings of the 15th International Conference on Location-Based Services. Wien. https://doi.org/10.34726/lbs2019.47

reposiTUm DOI:

10.34726/lbs2019.47

CatalogPlus:

AC15513004

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Petutschnig, Andreas
Resch, Bernd
Nelles, Jen
Ramasubramanian, Laxmi

Published in:

LBS 2019 : Adjunct Proceedings of the 15th International Conference on Location-Based Services

Date (published):

2019

Event name:

15th International Conference on Location-Based Services

Event date:

11-Nov-2019 - 13-Nov-2019

Event place:

Wien, Austria

Number of Pages:

Publisher:

Wien

Keywords:

transportation; sentiment analysis; twitter; urban planning; traffic disruption; planned events

Abstract:

In 2016, announcements of a major renovation plan of the L train Metro line in New York City sparked intense discussion among commuters. In this study, we use Twitter data from 01/2016 – 04/2019, geolocated in New York City, to investigate the sentiment in the population towards topics related to different aspects of the shutdown. The results indicate the strongest sentiments towards alternative travel modes and the effects caused by the shutdown. We further show how the sentiments differ in their spatial clustering characteristics. Tweets conveying a negative sentiment toward the L train tend to cluster in lower Manhattan whereas positive and neutral hot spots are slightly less intense and spread out more evenly.

License:

CC BY 4.0