Factors influencing road safety compliance among food delivery riders: An extension of the job demands-resources (JD-R) model

顺从(心理学) 业务 工作(物理) 运输工程 职业安全与健康 食品安全 营销 环境经济学 心理学 工程类 经济 社会心理学 医学 机械工程 病理
作者
Duy Quy Nguyen-Phuoc,Nguyen An Ngoc Nguyen,Minh Hieu Nguyen,Ly Ngoc Thi Nguyen,Óscar Oviedo-Trespalacios
出处
期刊:Transportation Research Part A-policy and Practice [Elsevier BV]
卷期号:166: 541-556 被引量:60
标识
DOI:10.1016/j.tra.2022.11.002
摘要

On-demand food delivery involves transport services based on gig-economy models.Food delivery services rely on motorcycles in many jurisdictions, resulting in safety risks.Motorcycles are generally-two-wheeled and therefore inherently unstable.They also lack rider restraint or roll cage to minimise the consequences of a collision.Given the risks of motorcycle food delivery, there is a need to understand how job design may influence safety behaviour on the roads and regulate this economic activity to minimise potential harmful health consequences on the riders.This study investigated the impact of job demands and resources on food delivery riders' compliance with road safety regulations.The job demands-resources (JD-R) model was used as the theoretical framework for this research.Data were collected using a cross-sectional design involving 550 motorcycle delivery riders in two megacities in Vietnam.A structural equation analysis indicated that job demands (e.g., time pressure, work/life imbalance, working environment) and job resources (e.g., social support, feedback) influence, directly and indirectly, job strain, risk-taking attitude, and road safety compliance.Control variables such as age, gender, and income also influenced road safety compliance.This study has critical implications for the food delivery industry that can help achieve sustainable development goals in the global south.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
nia发布了新的文献求助10
1秒前
dxftx发布了新的文献求助10
2秒前
3秒前
贵贵发布了新的文献求助20
3秒前
4秒前
黄123huang_发布了新的文献求助10
4秒前
zcq完成签到 ,获得积分10
5秒前
dongdong完成签到 ,获得积分10
5秒前
田様应助七七采纳,获得10
5秒前
5秒前
隐形曼青应助风笛采纳,获得10
7秒前
shenxian82133完成签到,获得积分10
8秒前
8秒前
8秒前
脑洞疼应助常温可乐采纳,获得10
9秒前
可爱的函函应助177采纳,获得10
9秒前
忧郁凌波发布了新的文献求助10
10秒前
超级的白云完成签到 ,获得积分10
11秒前
小星星发布了新的文献求助30
11秒前
11秒前
杜换青发布了新的文献求助10
12秒前
英俊的铭应助魁梧的皮带采纳,获得10
12秒前
12秒前
超级的白云关注了科研通微信公众号
13秒前
纯情的猫咪完成签到,获得积分10
14秒前
何政谦应助黄123huang_采纳,获得10
15秒前
田様应助dxftx采纳,获得10
15秒前
15秒前
16秒前
16秒前
科研通AI6.3应助to_the_end采纳,获得10
16秒前
liu发布了新的文献求助10
17秒前
FashionBoy应助鹿鹿鹿采纳,获得10
18秒前
19秒前
19秒前
Captain_H完成签到,获得积分10
19秒前
xiang完成签到,获得积分10
21秒前
王旭东发布了新的文献求助10
21秒前
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443941
求助须知:如何正确求助?哪些是违规求助? 8257724
关于积分的说明 17588668
捐赠科研通 5502688
什么是DOI,文献DOI怎么找? 2901147
邀请新用户注册赠送积分活动 1878140
关于科研通互助平台的介绍 1717562