摘要翻译：
加强道路安全和制定减少交通事故和死亡的目标是联合国可持续发展目标和全球零愿景努力的一部分。ridesourcing等交通网络公司的出现扩大了城市中的流动性选择，并可能影响道路安全结果。在这项研究中，我们分析了在德克萨斯州特拉维斯县使用骑车对道路撞车、受伤、死亡和醉酒驾驶(DWI)违法行为的影响。我们的方法利用实时行车量来解释道路安全结果的变化。使用固定效果的空间面板数据模型来检查ridesourcing的使用是否与道路撞车和其他安全指标显著相关。我们的结果表明，在特拉维斯县，骑车旅行增加10%，我们预计道路撞车减少0.12%(P<0.05)，道路伤害减少0.25%(P<0.001)和DWI违法减少0.36%(P<0.0001)。在0.05显著水平上，骑行与道路死亡无关。这项研究扩大了现有的工作，因为它超越了有无骑车的二元指标，并分析了城市化地区的模式，而不是大都市水平的变化。这些贡献包括开发一个数据丰富的方法，以评估使用骑自行车对我们交通系统安全的影响，这可能成为未来分析其他美国城市的模板。我们的发现通过澄清骑行使用和交通安全之间的联系，为政策制定者提供反馈，同时帮助确定实现更安全、更有效的共享移动系统的系列行动。
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英文标题：
《Associating Ridesourcing with Road Safety Outcomes: Insights from Austin
  Texas》
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作者：
Eleftheria Kontou, Noreen C. McDonald
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最新提交年份：
2021
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  Improving road safety and setting targets for reducing traffic-related crashes and deaths are highlighted as part of the United Nation's sustainable development goals and vision zero efforts around the globe. The advent of transportation network companies, such as ridesourcing, expands mobility options in cities and may impact road safety outcomes. In this study, we analyze the effects of ridesourcing use on road crashes, injuries, fatalities, and driving while intoxicated (DWI) offenses in Travis County Texas. Our approach leverages real-time ridesourcing volume to explain variation in road safety outcomes. Spatial panel data models with fixed effects are deployed to examine whether the use of ridesourcing is significantly associated with road crashes and other safety metrics. Our results suggest that for a 10% increase in ridesourcing trips, we expect a 0.12% decrease in road crashes (p<0.05), a 0.25% decrease in road injuries (p<0.001), and a 0.36% decrease in DWI offenses (p<0.0001) in Travis County. Ridesourcing use is not associated with road fatalities at a 0.05 significance level. This study augments existing work because it moves beyond binary indicators of ridesourcing presence or absence and analyzes patterns within an urbanized area rather than metropolitan-level variation. Contributions include developing a data-rich approach for assessing the impacts of ridesourcing use on our transportation system's safety, which may serve as a template for future analyses of other US cities. Our findings provide feedback to policymakers by clarifying associations between ridesourcing use and traffic safety, while helping identify sets of actions to achieve safer and more efficient shared mobility systems.
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PDF链接：
https://arxiv.org/pdf/2001.03461