Influencing factors on severity of vehicle-pedestrian conflict at unsignalized intersections

doi:10.16265/j.cnki.issn1003-3033.2023.08.1084

Abstract

Abstract:

In order to improve the crossing efficiency at unsignalized intersections and the safety of pedestrian crossings, K-means++ algorithm was used to cluster the conflict indicators to determine the severity of vehicle-pedestrian conflict. Severe multicollinearity and insignificant influencing factors were eliminated by multi-collinearity test and Pearson correlation analysis, and then the influencing factors were ranked. Multiple ordered Logistic regression algorithm was used to compare and analyze the specific influence of each significant independent factor on the severity of vehicle-pedestrian conflicts. The results show that the severity of vehicle-pedestrian conflicts can be divided into severe, general and minor conflicts by taking time to collision, gap time and deceleration to safety time as conflict indicators. The influence of gender, distracted behavior, waiting time, average crossing speed and whether accompanied by others on the severity of conflict decreased successively among the pedestrian characteristics. Headway, driving intention and vehicle type have significant effects on the severity of conflict among the vehicle characteristics.

Key words: unsignalized intersections, severity of vehicle-pedestrian conflict, influencing factors, K-means++ algorithm, multi-variate ordered Logistic regression

ZHANG Mingfang, MA Yanhua, MA Yong. Influencing factors on severity of vehicle-pedestrian conflict at unsignalized intersections[J]. China Safety Science Journal, 2023, 33(8): 190-197.

Figures/Tables 8

Fig.1

Fig.2

Tab.1

Final clustering center of conflict index

冲突指标	分类
冲突指标	严重冲突	一般冲突	轻微冲突
$t T m i n$	1.13	2.03	3.26
$t G m i n$	0.59	0.88	2.59
$a p m a x$	2.01	1.16	0.48
$a v m a x$	1.44	0.61	0.32

Tab.1

Tab.2

Results of one-way ANOVA

冲突指标	F	显著性
$t T m i n$	8.736	0.000
$t G m i n$	3.001	0.004
$a p m a x$	69.096	0.000
$a v m a x$	61.931	0.000

Tab.2

Tab.3

Fig.3

Tab.4

Tab.5

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序号	影响因素	共线性统计
序号	影响因素	容忍度	VIF
1	行人年龄	0.028	35.371
2	行人性别	0. 141	7.093
3	行人是否带东西	0.334	2.990
4	行人是否有人陪同	0.276	3.617
5	行人平均穿越速度	0.170	5.872
6	行人等候时间	0.428	2.335
7	行人延误	0.036	28.063
8	行人分心行为	0.243	4.117
9	车辆旅行时间	0.332	3.008
10	车头时距	0.313	3.197
11	车辆类型	0.399	2.506
12	车辆行驶意图	0.717	1.394

排序	影响因素	相关系数
1	行人性别	-0.67
2	行人分心行为	0.65
3	车头时距	0.58
4	行人等候时间	-0.55
5	车辆行驶意图	0.49
6	行人平均穿越速度	-0.46
7	车辆类型	-0.34
8	行人是否有人陪同	0.27

影响因素	分类	严重冲突		一般冲突
影响因素	分类	B	Sig.	B	Sig.
行人性别	1:女	-3.015	0.000	-3.297	0.001
行人性别	2:男	0^b	—	—	—
行人分心行为	1:使用手机	3.397	0.009	2.915	0.004
	2:与同伴聊天	3.225	0.013	2.641	0.017
	3:否	0^b	—	—	—
车头时距	1:[0.5,10.2]	3.197	0.000	3.117	0.012
	2:(10.2,29.6]	3.338	0.001	3.004	0.001
	3:(29.6,68.4]	0^b	—	—	—
行人等候时间	1:[0,4.2]	-2.792	0.009	-2.663	0.026
	2:(4.2,12.6]	-2.994	0.017	-2.875	0.031
	3:[27.3,29.4]	0^b	—	—	—
车辆行驶意图	1:左转	2.577	0.004	2.441	0.000
	2:右转	2.349	0.009	2.096	0.037
	3:直行	0b	—	—	—
行人平均穿越速度	1:[0,0.56]	-1.709	0.000	-1.611	0.006
	2:(0.56,1.09]	-1.883	0.000	-1.598	0.000
	3:(1.09,1.49]	-2.164	0.003	-1.930	0.015
	4:(1.49,2.01]	0^b	—	—	—
车辆类型	1:大客(货)车	-1.779	0.006	-1.699	0.001
	2:小轿车	-1.895	0.000	-1.758	0. 000
	3:三轮车	0^b	—	—	—
行人是否有人陪同	1:没有	1.507	0.015	1.425	0.011
	2:一个	1.491	0.008	1.147	0.039
	3: 大于一个	0^b	—	—	—