地方之间的基于行为的依赖网络塑造了城市经济性
Takahiro Yabe1,2,3, Bernardo García Bulle Bueno4, Morgan R Frank5,6,7
1Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA. takahiroyabe@nyu.edu.
Nature human behaviour
|December 23, 2024
概括
了解企业的相互依赖是城市经济性的关键. 这项研究表明,人类的移动模式揭示了关键的,往往是远距离的商业联系,提高了40%的冲击影响预测.
科学领域:
- 城市研究 城市研究
- 网络科学 网络科学
- 经济地理 经济地理
背景情况:
- 与流行病相关的业务中断凸显了理解相互依存的必要性.
- 业务在中断期间相互依赖的程度仍然不清楚.
- 现有的模型往往忽略了导致经济冲击的复杂关系.
研究的目的:
- 使用人类流动性数据量化企业间的依赖关系.
- 评估这些依赖关系对城市经济性的影响.
- 改进预测如何扰乱级联通过城市经济.
主要方法:
- 利用了来自美国五个城市的人类流动数据和同一天访问数据.
- 兴趣点 (企业,商店,设施) 之间的定量依赖.
- 将基于行为的依赖模型与基于距离的传统模型进行比较.
主要成果:
- 人类流动性数据揭示了具有远距离连接和类别偏见的依赖网络.
- 与基于距离的模型相比,基于行为的依赖模型大约提高了40%的冲击弹性可预测性.
- 忽视基于行为的依赖导致低估了破坏的空间传播.
结论:
- 人类移动模式对于理解复杂的业务相互依存关系至关重要.
- 基于行为的依赖性分析增强了城市经济性战略.
- 准确测量流动性驱动的关系对于减轻经济冲击至关重要.
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