Effect of

doi:10.16265/j.cnki.issn1003-3033.2024.04.0614

Abstract

Abstract:

In order to effectively prevent the unsafe driving behavior of take-away riders and reduce the traffic accidents caused by take-away riders, based on the work mechanism of take-away platforms' "rush game", combined with the theory of stress perception evaluation, a theoretical model characterising the effects of time pressure and competitive atmosphere perception on unsafe driving behavior of take-away riders was constructed from the perspective of safety attitude and exemplary norms. A reliable questionnaire was designed through literature review, and 360 valid samples were collected from take-away riders all over the country. The data reliability was analyzed by SPSS 27.0 and AMOS 24.0 data analysis software, and the theoretical model was verified by hierarchical regression analysis using Process 4.0. The results show that time pressure and competitive atmosphere perception have significant positive effects on unsafe driving behavior. Safety attitude can significantly negatively affect the unsafe driving behavior of take-away riders. Safety attitude can mediate the relationship between time pressure and unsafe driving behavior, and also mediate the relationship between competitive atmosphere perception and unsafe driving behavior. Exemplary norms can positively regulate the relationship between safety attitude and unsafe driving behavior.

Key words: "rush game", take-away riders, unsafe driving behavior, time pressure, competitive atmosphere perception

CLC Number:

X915.2安全社会学

NIU Lixia, HAN Xixiu, ZHAO Rui. Effect of "rush game" on unsafe driving of take-away riders: a perspective based on evaluation of stress perception[J]. China Safety Science Journal, 2024, 34(4): 17-25.

Figures/Tables 8

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References 25

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模型描述	χ²	df	χ²/df	CFI	TLI	RMSEA
5因子模型(A、B、C、D、E)	1 213.434	892	1.360	0.929	0.925	0.032
4因子模型(A+B、C、D、E)	1 358.133	896	1.516	0.898	0.893	0.038
3因子模型(A+B、C+D、E)	2 014.926	899	2.241	0.755	0.742	0.059
2因子模型(A+B、C+D+E)	2 362.455	901	2.622	0.679	0.662	0.067
单因子模型(A+B+C+D+E)	2 735.228	902	3.032	0.597	0.577	0.075
加入共同方法因子	1 110.704	848	1.310	0.942	0.936	0.029

变量	平均值	标准差	1	2	3	4	5	6	7	8
1.性别	1.156	0.363	1	—	—	—	—	—	—	—
2.年龄	2.517	0.867	-0.044	1	—	—	—	—	—	—
3.学历	2.125	0.703	-0.087	-0.435^**	1	—	—	—	—	—
4.工作年限	2.447	0.806	-0.077	0.673^**	-0.296^**	1	—	—	—	—
5.时间压力	3.514	0.779	-0.004	-0.031	-0.055	-0.036	1	—	—	—
6.竞争氛围感知	3.517	0.791	0.009	0.008	-0.010	-0.058	0.604^**	1	—	—
7.安全态度	2.693	0.753	-0.066	-0.053	0.002	-0.015	-0.357^**	-0.514^**	1	—
8.示范性规范	2.800	0.635	0.019	0.077	0.008	0.004	-0.144^**	-0.156^**	-0.112^*	1
9.不安全驾驶行为	3.376	0.509	0.022	0.010	0.003	-0.018	0.437^**	0.551^**	-0.389^**	0.282^**

类别		安全态度		不安全驾驶行为
类别		模型1	模型2	模型3	模型4	模型5	模型6
控制变量	性别	-0.146	-0.158	0.031	0.041	-0.008	0.013
	年龄	-0.081	-0.097	0.027	0.040	0.006	0.023
	学历	-0.038	-0.072	0.009	0.037	-0.001	0.024
	工作年限	0.030	0.020	-0.028	-0.020	-0.020	-0.016
自变量	时间压力	—	-0.352^***	—	0.289^***	—	0.226^***
中介变量	安全态度	—	—	—	—	-0.263^***	-0.178^***
R²		0.009	0.141	0.002	0.195	0.152	0.255
ΔR²		0.009	0.132	0.002	0.193	0.150	0.060
F		0.813	11.595^***	0.159	17.140^***	12.693^***	20.090^***
ΔF		0.813	54.234^***	0.159	84.912^***	62.719^***	28.247^***

类别		安全态度		不安全驾驶行为
类别		模型1	模型2	模型3	模型4	模型5	模型6
控制变量	性别	-0.146	-0.143	0.031	0.029	-0.008	0.015
	年龄	-0.081	-0.044	0.027	0.000	0.006	-0.004
	学历	-0.038	-0.043	0.009	0.012	-0.001	0.008
	工作年限	0.030	-0.026	-0.028	0.013	-0.020	0.010
自变量	竞争氛围感知	—	-0.490^***	—	0.355^***	—	0.308^***
中介变量	安全态度	—	—	—	—	-0.263^***	-0.096^**
R²		0.009	0.273	0.002	0.304	0.152	0.319
ΔR²		0.009	0.263	0.002	0.302	0.150	0.015
F		0.813	26.525^***	0.159	30.935^***	12.693^***	27.539^***
ΔF		0.813	128.210^***	0.159	153.768^***	62.719^***	7.651^**

类别		不安全驾驶行为
类别		模型7	模型8	模型9
控制变量	性别	0.031	-0.014	-0.011
	年龄	0.027	-0.016	-0.011
	学历	0.009	-0.010	-0.018
	工作年限	-0.028	-0.007	-0.025
主效应	安全态度	—	-0.246^***	-0.265^***
主效应	示范性规范	—	0.195^***	0.153^***
调节效应	安全态度×示范性规范	—	—	-0.227^***
R²		0.002	0.210	0.261
ΔR²		0.002	0.208	0.051
F		0.159	15.639^***	17.790^***

Effect of "rush game" on unsafe driving of take-away riders: a perspective based on evaluation of stress perception

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示范性规范	效应值	标准误	95%置信区间
示范性规范	效应值	标准误	LLCI(低限)	ULCI(高限)
低示范性规范	-0.121	0.040	-0.200	-0.042
高示范性规范	-0.409	0.045	-0.499	-0.320