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논문검색

Derivation of accident reduction measures through analysis of bicycle accident occurrences : Centering on Gyeonggi-do Province

원문정보

Byeong Kwan, Jeon, Jong Kyu, Ko, Gouzhong, Li

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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.

목차

Abstract
I. INTRODUCTION
II. ANALYSIS METHOD
A. Data acquisition
B. Analysis Method
III. ANALYSIS RESULTS
A. Visualizing the accident occurrence
B. Analysis of causes of bicycle traffic accidents
C. Deriving the number of accidents
D. Intersection accident type
IV. SOLUTION
V. CONCLUSION
REFERENCES

저자정보

  • Byeong Kwan, Jeon Business Administration, Sunmoon University, Asan 31460, South Korea
  • Jong Kyu, Ko Business Administration, Sunmoon University, Asan 31460, South Korea
  • Gouzhong, Li Dept. of Management Science and Information System, Kunming University of Science and Technology

참고문헌

자료제공 : 네이버학술정보

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