过高的代价:纽约市外卖临时工的伤害和攻击行为

Zoey Laskaris, Mustafa Hussein, Jim P. Stimpson, Emilia F. Vignola, Zach Shahn, Nevin Cohen, Sherry Baron
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引用次数: 0

摘要

人们对职业健康负担以及将临时工与健康联系起来的机制研究不足。我们描述了纽约市(NYC)食品外卖临时工的伤害和攻击发生率,并通过与工作相关的机制和不同的交通模式(电动自行车和轻便摩托车与汽车)评估了工作依赖性对伤害和攻击的影响。2022 年,纽约市消费者和工人保护局委托对纽约市 2021 年 10 月至 12 月期间的外卖临时工进行调查,收集了相关数据。我们使用修正的泊松回归模型来估算工作依赖性与伤害和袭击之间的调整流行率比值。在 1650 名受访者中,66.9% 的人表示送餐工作是他们的主要或唯一工作(即完全依赖)。分别约有 21.9% 和 20.8% 的受访者表示曾受伤和受到攻击。与汽车驾驶者相比,两轮车驾驶者受伤和被殴打的比例是汽车驾驶者的两倍多。在对年龄、性别、种族和民族、语言、工作年限、交通方式和每周工作时间进行调整后,完全依赖送餐服务的受访者与部分依赖送餐服务的受访者相比,受伤和袭击的发生率分别高出 1.61 倍(95% 置信区间(CI)为 1.20,2.16)和 1.36 倍(95% 置信区间(CI)为 1.03,1.80)。这些研究结果表明,完全依赖平台的送餐员,尤其是两轮车手,极易受到平台算法管理下工作条件的负面影响。送餐小工的健康和安全亟待改善,公司关于工人自主性和灵活性的说法也需要重新审视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Price Too High: Injury and Assault among Delivery Gig Workers in New York City

A Price Too High: Injury and Assault among Delivery Gig Workers in New York City

The occupational health burden and mechanisms that link gig work to health are understudied. We described injury and assault prevalence among food delivery gig workers in New York City (NYC) and assessed the effect of job dependence on injury and assault through work-related mechanisms and across transportation modes (electric bike and moped versus car). Data were collected through a 2022 survey commissioned by the NYC Department of Consumer and Worker Protection among delivery gig workers between October and December 2021 in NYC. We used modified Poisson regression models to estimate the adjusted prevalence rate ratio associations between job dependence and injury and assault. Of 1650 respondents, 66.9% reported that food delivery gig work was their main or only job (i.e., fully dependent). About 21.9% and 20.8% of respondents reported being injured and assaulted, respectively. Injury and assault were more than twice as prevalent among two-wheeled drivers, in comparison to car users. Fully dependent respondents had a 1.61 (95% confidence interval (CI) 1.20, 2.16) and a 1.36 (95% CI 1.03, 1.80) times greater prevalence of injury and assault, respectively, than partially dependent respondents after adjusting for age, sex, race and ethnicity, language, employment length, transportation mode, and weekly work hours. These findings suggest that fully dependent food delivery gig workers, especially two-wheeled riders, are highly vulnerable to the negative consequences of working conditions under algorithmic management by the platforms. Improvements to food delivery gig worker health and safety are urgently needed, and company narratives surrounding worker autonomy and flexibility need to be revisited.

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