城市动态通过人类流动性的镜头
Yanyan Xu1,2,3, Luis E Olmos2,4, David Mateo5
1MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China.
Nature computational science
|January 4, 2024
概括
在COVID-19大流行期间,城市空间结构动态被跟踪使用新的人类流动性指标. 在封锁期间,城市变得更加单心,揭示了城市动态和家庭旅行模式的转变.
科学领域:
- 城市动态和空间结构分析.
- 人类流动模式和城市规划.
- 流行病学建模和公共卫生.
背景情况:
- 城市空间结构,公共和私人空间的安排,通常是缓慢的.
- 大规模的紧急情况和城市更新可以迅速改变城市结构.
- 了解实时城市动态对于危机管理和城市规划至关重要.
研究的目的:
- 引入一种新的方法,以准实时地划分城市动态.
- 分析COVID-19大流行对11个西班牙城市空间结构的影响.
- 开发用于量化家庭旅行及其与疾病传播的关系的指标.
主要方法:
- 开发和应用移动中心性指数 (ΔKS) 来追踪城市动态.
- 利用个人人类移动数据进行近乎实时的分析.
- 引入基于家庭的旅行指标 (KSHBT) 以获得详细的移动洞察力.
主要成果:
- 在最初的COVID-19封锁期间,西班牙城市的城市结构变得更加单一.
- 在第二波疫情期间,保持了正常的空间结构.
- KSHBT指标提供了有关在家旅行的COVID-19传播的统计见解.
结论:
- 开发的人类流动性指标有效地检测城市空间结构的变化.
- 疫情引起的封锁对城市空间组织产生了重大影响,导致中心性增加.
- 这些指标为了解危机期间的城市弹性和公共卫生提供了有价值的工具.
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