针对COVID-19的可持续应对策略:使用城市多式联运运输数据进行流行区划
Yufei Wang1,2,3, Mingzhuang Hua4, Xuewu Chen1,2,3
1Jiangsu Key Laboratory of Urban ITS, Southeast University, China.
概括
这项研究引入了一种新的城市区划方法,用于使用运输数据进行流行病控制. 它最大限度地减少了居民日常生活的干扰,并降低了疫情应对的社会成本.
科学领域:
- 流行病学 流行病学
- 城市规划 城市规划
- 网络科学 网络科学
背景情况:
- 后COVID-19的流行病控制是具有挑战性和昂贵的.
- 锁定等传统方法严重扰乱了日常生活.
- 需要可持续的,不那么破坏性的流行病战略.
研究的目的:
- 提出一种使用科学城市划界的新型流行病控制方法.
- 尽量减少控制措施对居民生活和社会成本的影响.
- 开发数据驱动的战略,以有效应对流行病.
主要方法:
- 用多式联运运输数据来划定城市区域的界限.
- 应用了一个改进的莱登算法与一个重力模型的区域划分.
- 集成的空间约束和模块化指数用于社区检测.
- 将控制区之间的切断流量减少到最低.
主要成果:
- 成功地划定了城市区域,以控制流行病.
- 拟议的方法只破坏了24.8%的旅行联系.
- 证明对居民日常生活和控制成本的影响减少.
- 模块化指数证实了社区检测的适用性.
结论:
- 拟议的城市区划方法提供了一种可持续的流行病控制方法.
- 这一数据驱动的战略平衡了公共卫生需求,尽量减少社会破坏.
- 这些发现支持制定有效和成本效益的流行病应对计划.
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