Spatial Characteristics and Factors of Truck Accidents

• 발행기관: 위기관리 이론과 실천
• 저자명: Young Eun Ryu Yong Un Ban
• 간행물 정보: 『JSCM(Journal of Safety and Crisis Management)』Vol.10 No.2, 1~10쪽, 전체 10쪽
• 주제분류: 사회과학 > 정책학
• 파일형태: PDF
• 발행일자: 2020.04.30

영문 초록

Identifying the causes of truck accidents is very important for efficient traffic safety policies. Thus, previous studies have dealt with human factors, vehicle factors, and environmental factors (road, weather). However, according to a recent research, the spatial characteristics of truck accidents must be considered when analyzing the causes of traffic accidents. Therefore, this study has intended to analyze the spatial characteristics of truck accidents and to derive the spatial factors that would affect traffic accidents. To meet the objectives, this study employed Getis-Ord Gi* Hotspot analysis and Local Score statistics, and set three hypotheses as follows: First, truck accidents show local clustering distribution; Second, individual factories significantly affect truck accidents more than the planned factories; and, Third, the old factories significantly affect truck accidents more than the non-old factories. As a result of testing the hypotheses, this study has found that truck accidents tend to cluster locally, and factories negatively affect truck accidents. Especially, old individual location factories very negatively affect truck accidents.

목차

Introduction

Literature Review

Research Method

Discussion

Conclusion

Acknowledgement

References

키워드

factories truck accidents local score statistics road network analysis Hot-spot analysis