메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject

Applying Two-Step Cluster Analysis for Identifying the Impact of Topography on Traffic Accidents - The Case of Gangwon Province -
Recommendations
Search
Questions

2단계 군집분석을 통한 지형과 교통사고와의 관계 분석 : 강원도를 대상으로

논문 기본 정보

Type
Proceeding
Author
KWAK, Hayoung (경희대학교) BAEK, Seungkirl (한국도로공사) PARK, Woonho (경희대학교) JOH, Chang-Hyeon (경희대학교)
Journal
Korean Society Of Transportation Proceedings of the KOR-KST Conference Vol.75
Published
2016.9
Pages
218 - 222 (6page)

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Applying Two-Step Cluster Analysis for Identifying the Impact of Topography on Traffic Accidents - The Case of Gangwon Province -
Ask AI
Recommendations
Search
Questions

Research history (3)

  • Are you curious about the follow-up research of this article?
  • You can check more advanced research results through related academic papers or academic presentations.
  • Check the research history of this article

Abstract· Keywords

Report Errors
Topography affects the rainfall pattern and road geometrics, and the design elements such as vertical alignment and design speed are applied to the standards based on the topographical division. Although it is obvious that topography impacts on the traffic accidents influenced by the driving environment, there has been few studies focusing on the relationship between the topographical factors and the accidents. This paper identified the relationship between crash occurrence and topographical factors and attempted to analyze the types of traffic accident occurrence affected by topography using two-step cluster analysis. Gangwon province with strong geographical features is selected as the study area and the topographical variables include rainfall, road alignment and road types. Furthermore, this research attempted to analyze Gangwon province on the basis of cluster characteristics and understand the traits of each cluster. The identification of topographical factors associated with the risk of being involved in traffic accidents and categorization of region based on the cluster distribution could be helpful to predict the crash occurrence more accurately.

Contents

Abstract
Ⅰ. 서론
Ⅱ. 기존문헌 고찰
Ⅲ. 분석자료
Ⅳ. 분석 방법
Ⅴ. 분석 결과
Ⅵ. 결론 및 시사점
REFERENCES

References (0)

Add References

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

Comments(0)

0

Write first comments.