Traffic as an Urban Health Determinant: Coverage of the New York City Congestion Pricing Plan on TikTok

Abstract

Social listening can provide deeper insight into public sentiment regarding policy proposals, as seen with the congestion pricing initiative in New York City (NYC). The purpose of this study was to assess the content of a sample of TikTok videos related to congestion pricing in NYC. A total of 100 unique videos were extracted from the hashtag #nyccongestionpricing on TikTok and coded for the presence of the following information based on four different areas of focus: video metrics, details about pricing plan, effects of pricing plan, and user-related issues. In total, the 100-video sample received 17,375,818 views, 1,285,610 likes, 89,883 favorites, and 100,634 comments. Only 3 of the 25 content characteristics were present in a majority (> 50) of the videos. These were mentions location (below 60th street of Manhattan) (N = 65), mentions cost (N = 61), and mentions cons of pricing (N = 56). Mentioning location had a significant effect on the views (p = 0.0163) and likes (p = 0.0225) a video received. Mentioning cost had a statistical impact on the views (p = 0.0098), likes (p = 0.0128), favorites (p = 0.0128), and comments (p = 0.0030) that the video received. Mentioning the MTA and benefits of the congestion plan significantly lowered metrics of engagement. Themes that emerged were personal, often negative and tended to focus more on cost to citizens and location, despite the evidence of negative public health impacts. This research can be used as a springboard for future research that examines social listening at the intersection of public health and policy.