在COVID-19大流行期间使用智能卡数据在公共交通工具上拥挤:智利的新方法和案例研究
Franco Basso1,2, Jonathan Frez3, Hugo Hernández1
1Escuela de Ingeniería Industrial, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
概括
新的拥挤措施揭示了公共交通中的病毒暴露风险. 由于COVID-19的封锁,大大减少了人群拥挤,但较贫穷的地区反弹速度更快,突出显示了大流行.
科学领域:
- 公共卫生 公共卫生
- 运输科学 运输科学
- 流行病学 流行病学
背景情况:
- 传统的公共交通拥挤指标缺乏细节性来评估微观风险,如病毒暴露.
- 汇总的服务级数据不充分地代表了运输系统中的个体暴露场景.
研究的目的:
- 引入四项旨在有效预测公共交通中的病毒暴露风险的新型拥挤措施.
- 分析COVID-19大流行政策对智利圣地亚哥公共交通拥挤和暴露风险的影响.
主要方法:
- 开发了四种创新的拥挤指标,适用于微观水平的病毒暴露评估.
- 利用圣地亚哥公共汽车系统的智能卡数据进行案例研究.
- 计算了COVID-19流行病的封锁前,封锁期间和封锁后期间的拥挤措施.
主要成果:
- 封锁期间的政府政策大大减少了公共交通的拥挤和潜在的病毒暴露.
- 没有社交距离的平均暴露时间从6.39分钟下降到0.03分钟;平均遇到的人从43.33人下降到5.89人.
- 与其他地区相比,较贫穷的市政当局更快地恢复到流行前的拥挤水平.
结论:
- 拟议的新型拥挤措施可以更准确地评估公共交通中的病毒暴露风险.
- 虽然COVID-19封锁有效缓解了人群拥挤,但社会经济差异影响了恢复到流行前状况的速度.
- 调查结果强调,在公共交通健康战略中需要针对性干预,考虑到社会经济因素.
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