Identification of risk factors for through-village highway accidents considering influence of township fairs

doi:10.16265/j.cnki.issn1003-3033.2024.05.1435

Abstract

Abstract:

In order to improve traffic safety in the coupling area of the township fair and through-village highway, a secondary road through villages and towns in Yunnan Province was taken as the research object. The core area and the radiation area of the fair were defined according to the affordable travel distance of the township residents and the maximum trading radius of the fair. On this basis, 29 risk factors in 6 dimensions of people, vehicles, roads, environment, management and accident form were selected. The risk factor identification model based on association rules was used to construct the risk factor network of highway accidents through villages and towns. By analyzing the characteristics of network topology, accident risk factors were identified. The results show that the traffic conflict in the core area of the fair is more serious, and the probability of injury accidents is 57.99 %. The core area of the township fair is the primary risk factor for accidents and plays a leading role in the spread of accident risks. The types of direct risk factors for property loss accidents and injury accidents are heterogeneous. Overall, the average clustering coefficient of driver factors is the largest, which makes it easy to produce a chain reaction. In the core area of the fair, the probability of injury accidents increases by 23.71% and 21.07%, respectively, when the driver's meeting vehicles are improper, and the driver does not give way according to the regulations.

Key words: through-village highway accident, township fairs, influence scope of fairs, risk factors, identification model

CLC Number:

X951交通运输安全

JI Xiaofeng, LI Jin, LU Mengyuan, HAN Chunyang, QIN Wenwen. Identification of risk factors for through-village highway accidents considering influence of township fairs[J]. China Safety Science Journal, 2024, 34(5): 214-222.

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References 16

[1]	张志清, 贾岩, 周海生, 等. 穿村镇公路警告标志前置距离研究[J]. 交通信息与安全, 2011, 29(2): 88-91.
	ZHANG Zhiqing, JIA Yan, ZHOU Haisheng, et al. Study on the pre-distance of warning signs on through-village highway[J]. Journal of Transport Information and Safety, 2011, 29(2): 88-91.
[2]	张铁军, 尹心怡, 肖贵平. 公路穿村镇路段速度管理设施设置位置研究[J]. 公路, 2017, 62(10): 172-176.
	ZHANG Tiejun, YIN Xinyi, XIAO Guiping. Study on the setting position of speed management facilities in highway through villages and towns[J]. Highway, 2017, 62(10): 172-176.
[3]	LAURA G, FRANCISCO C, JUAN D O. The effect of widening longitudinal road markings on driving speed perception[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2022, 88: 141-154.
[4]	NABEE S S A, SALVADOR H. Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: accounting for unobserved heterogeneity[J]. International Journal of Transportation Science and Technology, 2020, 9(2): 116-127.
[5]	PANAGIOTIS L, NIKOLAOS E, THEODOROS K. Investigation of speed and trajectory of motorcycle riders at curved road sections of two-lane rural roads under diverse lighting conditions[J]. Journal of Safety Research, 2021, 78: 138-145. doi: 10.1016/j.jsr.2021.05.009 pmid: 34399909
[6]	戢晓峰, 詹换勤, 普永明, 等. 山区公路穿村镇路段过境车辆事故严重程度推理分析[J]. 交通运输系统工程与信息, 2022, 22(3): 231-237.
	JI Xiaofeng, ZHAN Huanqin, PU Yongming, et al. Inferential analysis of vehicle accident severity in mountainous highway crossing villages[J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(3): 231-237.
[7]	乔建刚, 吴艳霞, 许军. 村镇道路会车特性与驾驶员心生理变化关系研究[J]. 中国安全科学学报, 2019, 29(3): 8-13. doi: 10.16265/j.cnki.issn1003-3033.2019.03.002
	QIAO Jiangang, WU Yanxia, XU Jun. Study on the relationship between the characteristics of village road meeting and the driver 's physiological changes[J]. China Safety Science Journal, 2019, 29(3): 8-13.
[8]	ZHAO Xiaoyuan, LI Xiaomeng, ANDRY R, et al. Predicting pedestrians' intention to cross the road in front of automated vehicles in risky situations[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2022, 90: 524-536.
[9]	戢晓峰, 耿昭师, 普永明, 等. 接入道路对山区双车道公路穿村镇路段事故风险影响[J]. 中国安全科学学报, 2022, 32(5): 155-162. doi: 10.16265/j.cnki.issn1003-3033.2022.05.0444
	JI Xiaofeng, GENG Zhaoshi, PU Yongming, et al. Influence of access roads on accident risks of mountainous two-lane highway passing through villages and towns segments[J]. China Safety Science Journal, 2022, 32(5): 155-162. doi: 10.16265/j.cnki.issn1003-3033.2022.05.0444
[10]	ANDREA A T, MAURICIO O F, CANTILLO V. Factors influencing crash frequency on Colombian rural roads[J]. PROMET-Traffic & Transportation, 2020, 32(4): 449-460.
[11]	FEDY O, MOUNIR B. Spatio-temporal pattern of vulnerable road user's collisions hot spots and related risk factors for injury severity in Tunisia[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2018, 56: 477-495.
[12]	刘浩学, 冯忠祥, 赵炜华, 等. 中国农村人口出行距离分布模型[J]. 长安大学学报: 自然科学版, 2010, 30(6): 68-71.
	LIU Haoxue, FENG Zhongxiang, ZHAO Weihua, et al. Trip distance distribution mode of Chinese rural population[J]. Journal of Chang'an University:Natural Science Edition, 2010, 30(6): 68-71.
[13]	姚青石. 川渝地区传统场镇空间环境特色及其保护策略研究[D]. 重庆: 重庆大学, 2015.
	YAO Qingshi. Research on traditional town's spatial environment features and the protection strategies in Sichuan and Chongqing areas[D]. Chongqing: Chongqing University, 2015.
[14]	刘文恒. 公路穿村镇路段交通事故特征及事故致因深度分析[D]. 北京: 北京交通大学, 2018.
	LIU Wenheng. Analysis on the causes of traffic accidents on the highway through villages and towns[D]. Beijing: Beijing Jiaotong University, 2018.
[15]	LI Q M, SONG L L, LIST G F, et al. A new approach to understand metro operation safety by exploring metro operation hazard network (MOHN)[J]. Safety Science, 2017, 93: 50-61.
[16]	任翠萍, 杨明翔, 张裕铭, 等. 快递安全事故致因网络构建及结构特性分析[J]. 复杂系统与复杂性科学, 2023, 20(2): 74-80.
	REN Cuiping, YANG Mingxiang, ZHANG Yuming, et al. The construction of express safety accident causation network and its structural properties[J]. Complex Systems and Complexity Science, 2023, 20(2): 74-80.

乡镇	集市日期	集市中心	集市最大交易半径/km
共和镇	周二、周四、周六	新南路与南大街交叉口	15(山区镇级集市)
戌街乡	周二、周五	戌街线与019 乡道交叉口	5(山区乡级集市)
元马镇	周四、周日	翠芸街与凤翔街交叉口	15(山区镇级集市)

事故严重程度	编号	划分标准	事故占比/%
财产损失事故	S1	仅有财产损失,死亡人数和受伤人数均为 0	44.53
伤人事故	S2	死亡人数为0且受伤人数≥1	55.47

风险因素分类		风险因素名称	风险因素编号	风险因素占比/%	风险因素解释
驾驶员因素D		会车不当	D1	20.65	驾驶员操作不当
		超车不当	D2	8.91	驾驶员操作不当
		未按规定让行	D3	20.24	驾驶员安全意识淡薄
		未按规定车道行驶	D4	18.22
		未保持安全距离	D5	31.98
车辆因素V	肇事车辆信息	客车	V1	61.13	肇事车辆的车辆类型以及车辆归属地
		摩托车	V2	23.49
		货车	V3	15.38
		本地车辆	V4	79.35
		过境车辆	V5	20.65
	涉事车辆信息	无防护车辆	V6	54.66	事故中是否有无防护车辆参与 (电动车、三轮车、自行车等)
道路因素R	平面线形	平直道	R1	30.25	(平曲线半径为0且平曲线长度为0)
		小半径急弯/m	R2	23.57	(125<平曲线半径≤550 且0<平曲线长度≤500)
		普通弯道/m	R3	18.79	(550<平曲线半径≤3 300且 500<平曲线长度≤1 000)
	纵断面线形	缓坡/%	R4	22.61	0.5<坡度≤3
	纵断面线形	陡坡/%	R5	4.78	3<坡度≤6
环境因素E	事发时间信息	(0:00,6:00]	E1	1.62	事故发生的具体时段
		(6:00,12:00]	E2	28.34
		(12:00,18:00]	E3	46.96
		(18:00,24:00]	E4	23.08
	事发空间信息	直穿村镇路段	E5	49.78	公路从村镇中直接穿过
		绕行村镇路段	E6	50.22	公路到村镇的距离为10~184 m
		集市核心区	E7	77.73	事发地距镇级集市中心5 km以内或乡级集市中心2 km以内
		集市辐射区	E8	22.27	事发地距镇级集市中心5~15 km或乡级集市中心2~5 km
管理因素M		交通标志缺失	M1	25.51	无明显交通标线与警告标志
管理因素M		安全监管不足	M2	16.59	无监控设施,存在路侧摆摊、停车占道等横向干扰
事故形态A		碰撞	A1	68.02	事故发生后的最终形态
		追尾	A2	21.86
		刮擦行人	A3	10.12

排名	前项	后项	支持度	置信度	提升度
1	R3,E5	E8	0.14	0.57	5.04
2	R3,S1	E8	0.13	0.45	3.98
3	M1	E8	0.11	0.82	3.22
4	D5	A2	0.32	0.68	3.09
5	D3,S2	V2	0.14	0.47	2.19

编号	前项	后项	支持度	置信度	提升度
1	E8	S1	0.11	0.64	1.44
2	E7	S2	0.89	0.58	1.05
3	E7,D1	S2	0.19	0.72	1.29
4	E7,D3	S2	0.19	0.70	1.27