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KISSThis study deals with the weather elements which cause to traffic accident. The objective is to develop the accident models by season using the weather element data. In pursuing the above, this study gives particular attention to collecting such the d...
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RISS 인기검색어
기상요소를 고려한 가로구간 계절별 교통사고모형 -청주시 사례를 중심으로- = Traffic Accident Models of Arterial Links by Season Considering the Weather Elements in the Case of Cheongju
한글로보기https://www.riss.kr/link?id=A102072437
- 저자
- 발행기관
- 학술지명
- 권호사항
-
발행연도
2010
-
작성언어
-
- 주제어
-
KDC
500
-
자료형태
학술저널
-
수록면
31-35(5쪽)
- 제공처
-
0
상세조회 -
0
다운로드
부가정보
다국어 초록 (Multilingual Abstract)
This study deals with the weather elements which cause to traffic accident. The objective is to develop the accident models by season using the weather element data. In pursuing the above, this study gives particular attention to collecting such the data as the traffic accident by link and analyzing the differences in season using the various weather elements. The main results are the followings. First, Friday was analyzed to have the most accident rate, that was 16.3% of the total accidents. Second, Spring season was evaluated to have relatively more accident rate, which was 26.9%. Finally, one accident model by season which was statistically significant was developed. The most important variable in the model was evaluated to be average temperature. The R2 of the model was analyzed to be 0.819
This study deals with the weather elements which cause to traffic accident. The objective is to develop the accident models by season using the weather element data. In pursuing the above, this study gives particular attention to collecting such the data as the traffic accident by link and analyzing the differences in season using the various weather elements. The main results are the followings. First, Friday was analyzed to have the most accident rate, that was 16.3% of the total accidents. Second, Spring season was evaluated to have relatively more accident rate, which was 26.9%. Finally, one accident model by season which was statistically significant was developed. The most important variable in the model was evaluated to be average temperature. The R2 of the model was analyzed to be 0.819
동일학술지(권/호) 다른 논문
-
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-
- 충북대학교 건설기술연구소
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-
- 충북대학교 건설기술연구소
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-
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