Analysing the impact factors from the first party on fatal and injury accidents
碩士 === 國立交通大學 === 運輸科技與管理學系 === 99 === Accident severity concerned in this study is a dichotomous variable with two categories, fatal (A1) and injury (A2). The purpose of this study is to analysis the impact of factors from the first party on fatal and injury accidents. The content has two parts....
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ndltd-TW-099NCTU54230222015-10-13T20:37:26Z http://ndltd.ncl.edu.tw/handle/61444778379746199145 Analysing the impact factors from the first party on fatal and injury accidents 分析第一當事者影響A1、A2類肇事事故因素之研究 Huang, Xian-Qin 黃顯欽 碩士 國立交通大學 運輸科技與管理學系 99 Accident severity concerned in this study is a dichotomous variable with two categories, fatal (A1) and injury (A2). The purpose of this study is to analysis the impact of factors from the first party on fatal and injury accidents. The content has two parts. First, this study use descriptive statistics to analysis each variable from accidents raw data of National Police Agency on the 2003 and 2004 by computing the number of A1 and A2 accidents, and the proportion of A1/(A1+A2). Based on the result, we can determine the property of accident severity of traffic accident. Second, we use Chi-Square Automatic Interactive Detector (CHAID) and Pearson Correlation Coefficient and test of independent to determine the impact factors of accident severity. Besides, we use Logistic regression to fit the model. The results suggest that 5 o’clock in the morning, on the highway, pedestrians play on the road, pedestrians go through the road without following the rule, without safety hamlet and safety belt, and alcohol breath testing over 0.25 mg/L or alcohol blood testing over 0.05% are associated with highest odd ratio. Wu, Shoei-Uei 吳水威 2011 學位論文 ; thesis 137 zh-TW |
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碩士 === 國立交通大學 === 運輸科技與管理學系 === 99 === Accident severity concerned in this study is a dichotomous variable with two categories, fatal (A1) and injury (A2). The purpose of this study is to analysis the impact of factors from the first party on fatal and injury accidents. The content has two parts. First, this study use descriptive statistics to analysis each variable from accidents raw data of National Police Agency on the 2003 and 2004 by computing the number of A1 and A2 accidents, and the proportion of A1/(A1+A2). Based on the result, we can determine the property of accident severity of traffic accident. Second, we use Chi-Square Automatic Interactive Detector (CHAID) and Pearson Correlation Coefficient and test of independent to determine the impact factors of accident severity. Besides, we use Logistic regression to fit the model.
The results suggest that 5 o’clock in the morning, on the highway, pedestrians play on the road, pedestrians go through the road without following the rule, without safety hamlet and safety belt, and alcohol breath testing over 0.25 mg/L or alcohol blood testing over 0.05% are associated with highest odd ratio.
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author2 |
Wu, Shoei-Uei |
author_facet |
Wu, Shoei-Uei Huang, Xian-Qin 黃顯欽 |
author |
Huang, Xian-Qin 黃顯欽 |
spellingShingle |
Huang, Xian-Qin 黃顯欽 Analysing the impact factors from the first party on fatal and injury accidents |
author_sort |
Huang, Xian-Qin |
title |
Analysing the impact factors from the first party on fatal and injury accidents |
title_short |
Analysing the impact factors from the first party on fatal and injury accidents |
title_full |
Analysing the impact factors from the first party on fatal and injury accidents |
title_fullStr |
Analysing the impact factors from the first party on fatal and injury accidents |
title_full_unstemmed |
Analysing the impact factors from the first party on fatal and injury accidents |
title_sort |
analysing the impact factors from the first party on fatal and injury accidents |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/61444778379746199145 |
work_keys_str_mv |
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