《开车送我喝酒:网约车服务与酒精消费的关系》

Gordon Burtch, Brad N. Greenwood, J. McCullough
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引用次数: 3

摘要

背景:饮酒与广泛的不良健康后果有关,是可预防死亡的主要原因。像优步这样的叫车服务已经被发现可以防止与酒精相关的机动车死亡事故。然而,这些服务可能会促进酒精消费,特别是酗酒。目的:衡量网约车服务对酒精消费程度和强度的影响。我们允许这些关联取决于人口密度,因为打车服务的使用率可能因市场而异。方法:我们利用差异中的差异方法利用乘车平台Uber的分阶段推出。我们使用这种变化来衡量优步进入后当地人口酒精消费量的变化。数据来自优步的新闻稿,以捕捉平台进入情况,行为风险因素监测系统(BRFSS)年度调查测量了113个大都市地区的酒精消费量。模型估计使用固定效应泊松回归。使用进入前和进入后的趋势来验证这种方法。结果:网约车对高- 0.61 [95% CI: -0.05%至1.28%]或低- 0.61 [95% CI: -0.05%至1.28%]密度市场的酒精消费程度没有影响,但使酗酒率增加了0.71 [95% CI: 0.13%至1.29%]。这相当于在MSA内酗酒增加了4%。结论:网约车服务似乎以酗酒的形式刺激危险行为,这与一系列不利的健康结果有关。十多年来,酒驾率一直在下降,而酗酒的发生率却在继续攀升。叫车服务可能会加速这两种趋势。这表明,健康信息传递应该更加强调酒精消费和酗酒的直接危害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driving Me to Drink: The Relationship between Ride-Hailing Services and Alcohol Consumption
Background: Alcohol consumption is associated with a wide range of adverse health consequences and is a leading cause of preventable deaths. Ride hailing services such as Uber have been found prevent alcohol-related motor vehicle fatalities. These services may, however, facilitate alcohol consumption generally and binge drinking in particular. Objective: To measure the impact of ride hailing services on the extent and intensity of alcohol consumption. We allow these associations to depend on population density as the utilization of ride hailing services likely varies across markets. Methods: We exploit the phased rollout of the ride hailing platform Uber using a difference in differences approach. We use this variation to measure changes in alcohol consumption among a local population following Uber’s entry. Data are drawn from Uber press releases to capture platform entry and the Behavioral Risk Factor Surveillance Systems (BRFSS) Annual Survey measures alcohol consumption in 113 metropolitan areas. Models are estimated using fixed effects Poisson regression. Pre- and post-entry trends are used to validate this approach. Results: Ride hailing has no effect on the extent of alcohol consumption in high- 0.61 [95% CI: - 0.05% to 1.28%] or low- 0.61 [95% CI: -0.05% to 1.28%] density markets, but increases the binge drinking rate by 0.71 [95% CI: 0.13% to 1.29%]. This corresponds to a 4% increase in binge-drinking within an MSA. Conclusion: Ride hailing services appear to stimulate risky behavior, in the form of binge drinking, which has been associated with a wide array of adverse health outcomes. Drunk driving rates have fallen for more than a decade, while the incidence of binge drinking has continued to climb. Both trends may be accelerated by ride hailing services. This suggests that health information messaging should increase emphasis on the direct dangers of alcohol consumption and binge drinking.
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