Department of Industrial and Systems Engineering, Virginia Tech, USA.
School of Integrated Sciences, James Madison University, USA.
Soc Sci Med. 2024 Aug;354:117087. doi: 10.1016/j.socscimed.2024.117087. Epub 2024 Jul 5.
Alcohol-impaired driving is a formidable public health problem in the United States, claiming the lives of 37 individuals daily in alcohol-related crashes. Alcohol-impaired driving is affected by a multitude of interconnected factors, coupled with long delays between stakeholders' actions and their impacts, which not only complicate policy-making but also increase the likelihood of unintended consequences. We developed a system dynamics simulation model of drinking and driving behaviors among adolescents and young adults. This was achieved through group model building sessions with a team of multidisciplinary subject matter experts, and a focused literature review. The model was calibrated with data series from multiple sources and replicated the historical trends for male and female individuals aged 15 to 24 from 1982 to 2020. We simulated the model under different scenarios to examine the impact of a wide range of interventions on alcohol-related crash fatalities. We found that interventions vary in terms of their effectiveness in reducing alcohol-related crash fatalities. In addition, although some interventions reduce alcohol-related crash fatalities, some may increase the number of drinkers who drive after drinking. Based on insights from simulation experiments, we combined three interventions and found that the combined strategy may reduce alcohol-related crash fatalities significantly without increasing the number of alcohol-impaired drivers on US roads. Nevertheless, related fatalities plateau over time despite the combined interventions, underscoring the need for new interventions for a sustained decline in alcohol-related crash deaths beyond a few decades. Finally, through model calibration we estimated time delays between actions and their consequences in the system which provide insights for policymakers and activists when designing strategies to reduce alcohol-related crash fatalities.
在美国,酒后驾车是一个严重的公共卫生问题,每天有 37 人死于与酒精相关的车祸。酒后驾车受到众多相互关联的因素的影响,加上利益相关者的行动与其影响之间存在很长的延迟,这不仅使政策制定变得复杂,而且增加了意外后果的可能性。我们开发了一个青少年和年轻人饮酒和驾驶行为的系统动力学模拟模型。这是通过与一组多学科主题专家进行小组模型构建会议以及对重点文献进行回顾来实现的。该模型使用来自多个来源的数据系列进行了校准,并复制了 1982 年至 2020 年 15 至 24 岁男性和女性个体的历史趋势。我们在不同的场景下模拟模型,以检查广泛的干预措施对与酒精相关的撞车死亡的影响。我们发现,干预措施在减少与酒精相关的撞车死亡方面的效果各不相同。此外,尽管一些干预措施减少了与酒精相关的撞车死亡,但有些干预措施可能会增加酒后驾车的人数。根据模拟实验的见解,我们结合了三种干预措施,发现联合策略可以在不增加美国道路上酒后驾车人数的情况下显著降低与酒精相关的撞车死亡人数。尽管采取了综合干预措施,但相关死亡人数随着时间的推移趋于平稳,这突显了需要新的干预措施,以在几十年后持续降低与酒精相关的撞车死亡人数。最后,通过模型校准,我们估计了系统中行动与其后果之间的时间延迟,这为政策制定者和活动家在制定减少与酒精相关的撞车死亡人数的策略时提供了见解。