Background/Objectives: In this study, through big data analysis, the current situation and cause are identified and a plan to reduce accidents in bicycle accidents is derived. Methods/Statistical analysis: In order to secure data on bicycle traffic accidents, data from Gyeonggi-do were collected and analyzed using R and Tableau, which are big data analysis tools. After collecting the data, it was preprocessed according to the analysis. Findings: As a result of the analysis, it was found that bicycle accidents increased as the bicycle population increased. Therefore, in this study, an intersection notification and a bicycle cross-section were proposed. Improvements/Applications: The results of this study are expected to be used to develop policies that can be prevented in advance while instilling awareness of bicycle accidents.
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