Engineers say data from Twitter and other social media platforms can help improve event planning, route scheduling, crowd regulations and subway operations.<\/p>\n
\u201cSocial media offers a cost-effective way to obtain real-time data on monitoring subway passenger flow,\u201d said the study\u2019s corresponding author Qing He from the University of Buffalo.<\/p>\n
\u201cOur results show that data from apps like Twitter can help public transportation officials prepare for and react to passenger surges during concerts, baseball games and other big events,\u201d he said.<\/p>\n
In addition to Qing, who has appointments in the university\u2019s Department of Civil, Structural and Environmental Engineering and the Department of Industrial and Systems Engineering, the study was co-authored by Ph.D. student Jing Gao, an assistant professor in the UB\u2019s Department Computer Science and Engineering, and Ming Ni, a Ph.D. fellow from the UB\u2019s Department of Industrial and Systems Engineering.<\/p>\n
For their study, published in the journal IEEE Transactions on Intelligent Transportation Systems, the team gathered subway ridership information of Mets-Willets Point station in Queens, New York, near a baseball stadium and the USTA Billie Jean King National Tennis Centre, where the US Open tennis championships are held.<\/p>\n
The researchers also collected nearly 30 million tweets geotagged to the New York City area during the time of the events.<\/p>\n
Using six different computer models, the researchers then analysed the data and found a positive correlation between passenger flow and the rates of tweets during big events.<\/p>\n
\u201cThe results are encouraging for two reasons. First, they indicate that increases in social media posts and subway ridership can be linked. Secondly, we have developed a method to track this correlation,\u201d co-author Jing Gao said.<\/p>\n
IANS<\/p>\n
Picture source: Alamy<\/p>\n
Picture used for illustrative purposes alone<\/p>\n","protected":false},"excerpt":{"rendered":"
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