Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 24, Pages: 1-7
Tae-Gu Kang1 , Yeong-Real Kim1 , Dong-Woo Kim2 and Seong-Taek Park1 *
1 Department of Management Information Systems, [email protected]
2 Department of Big Data, [email protected]
*Author For Correspondence
Department of Big Data,
Background/Objectives: The present study analyzes an improvement plan for bicycle roads by using the public data of Seoul and proposes its implications. Methods/Statistical Analysis: In this study, an analysis was performed by utilizing a big data analysis tool, R. The present study, after defining the deducted problem phenomenon, conducted a process of planning which included the necessary information for finding an alternative for resolution and a data and application analysis technique. The data needed in the analysis was obtained from the Seoul open data square and the public data portal. The study attempted analysis and visualization by using the open source tool of R for analyzing the data, and conducted a process of interpretation. Findings: In this study attempts to find an alternative that can prevent bicycle safety exercises. The study presents the problems of current bicycle roads and their improvement plan by big data analysis which includes the relationship between the installation rate of bicycle roads and the bicycle accident rate, the location of bicycle roads, the location of bicycle amenities, and population data. In this study attempts to find an alternative that can prevent bicycle safety exercises. To achieve this, the study presents the problems of current bicycle roads and their improvement plan by big data analysis which includes the relationship between the installation rate of bicycle roads and the bicycle accident rate, the location of bicycle roads, the location of bicycle amenities, bicycle satisfaction, bicycle use statistics, and population data. The generalization of bicycle roads to regular residences implies a construction by considering the connectivity and stability of bicycle roads, but atypical infrastructure construction has played a part in increased damages resulting from the ignorance of bicycle users to traffic safety regulations. The perception of bicycle users must change and the building of bicycle roads must be based on people centered transportation infrastructure. Application/Improvements: The results of this study can be used as part of improvement of bicycle road accidents by central government and local governments. The results seem to be applied in policy, such as building bike paths centered around pedestrians.
Keywords: Big Data, Bicycle Road, Comparative Analysis, Data Analysis, R
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