Impact analysis of road infrastructure and traffic control on severity of pedestrian-vehicle crashes at intersections and non-intersections using bias-reduced logistic regression

被引:15
作者
Tanishita, Masayoshi [1 ]
Sekiguchi, Yuta [2 ]
Sunaga, Daisuke [1 ]
机构
[1] Chuo Univ, Fac Sci & Engn, Dept Civil & Environm Engn, 1-13-27 Kasuga,Bunkyo ku, Tokyo 1128551, Japan
[2] Chuo Univ, Grad Sch, 1-13-27 Kasuga, Bunkyo ku, Tokyo 1128551, Japan
关键词
Pedestrian-vehicle crash; Severity; Road infrastructure; Traffic regulation; bias -reduced logistic regression; INJURY SEVERITY; SELF-REGULATION; DIAGNOSTIC-ANALYSIS; OLDER DRIVERS; LOGIT MODEL; CALIFORNIA; RISK; AGE;
D O I
10.1016/j.iatssr.2023.03.004
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Pedestrian safety is essential to realize a walkable city. This study analyzed the impact of road infrastructure and traffic control on severity of pedestrian-vehicle crashes at intersections and non-intersections. We applied a biasreduced logistic regression analysis using 86,406 pedestrian-vehicle crashes data including 2636 fatal accidents in Japan. The results of the study indicate that medians increased the severity of crashes at intersections; on the other hand, they decreased the severity at non-intersections. In addition, flashing traffic signals increase the severity while stop signs decrease the severity at intersections.& COPY; 2023 International Association of Traffic and Safety Sciences. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:233 / 239
页数:7
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