Fundamental Research on Posting Tendencies of Traffic Accidents Occurrences Seen from SNS Data

Abstract

With the development of SNS, it is easy to obtain and disseminate trend information from Twitter (The official name is X, but we use Twitter in this paper). Nowadays, when a natural disaster occurs, information about the status of public transportation systems that are particularly affected is often shared by SNS. In this paper, we focused on traffic accidents (hereinafter called “accidents”) as familiar disasters and analyzed how they were posted and spread on SNS based on accident data in Tochigi Prefecture and data posted on Twitter. As a result, it was confirmed that the number of retweets related to accident information exceeded the number of regular tweets. Additionally, there was a tendency for the posting users to be those who liked cars. Posts that are retweeted by posts that match the location of the accident tend to include hashtags, images, videos, etc., and do not depend on the number of followers.