Smart City Gnosys

Smart city article details

Title	Big Data In Transportation: A Systematic Literature Analysis And Topic Classification
ID_Doc	12103
Authors	Tzika-Kostopoulou D.; Nathanail E.; Kokkinos K.
Year	2024
Published	Knowledge and Information Systems, 66, 8
DOI	http://dx.doi.org/10.1007/s10115-024-02112-8
Abstract	This paper identifies trends in the application of big data in the transport sector and categorizes research work across scientific subfields. The systematic analysis considered literature published between 2012 and 2022. A total of 2671 studies were evaluated from a dataset of 3532 collected papers, and bibliometric techniques were applied to capture the evolution of research interest over the years and identify the most influential studies. The proposed unsupervised classification model defined categories and classified the relevant articles based on their particular scientific interest using representative keywords from the title, abstract, and keywords (referred to as top words). The model’s performance was verified with an accuracy of 91% using Naïve Bayesian and Convolutional Neural Networks approach. The analysis identified eight research topics, with urban transport planning and smart city applications being the dominant categories. This paper contributes to the literature by proposing a methodology for literature analysis, identifying emerging scientific areas, and highlighting potential directions for future research. © The Author(s) 2024.
Author Keywords	Big data; Classification; Term frequency–inverse document frequency method; Topic model; Transportation

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