人类流动的普遍访问法
Markus Schläpfer1,2,3, Lei Dong4,5, Kevin O'Keeffe1
1Senseable City Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nature
|May 27, 2021
概括
人类的流动性遵循新的扩展规则:随着访问频率和旅行距离的增加,游客数量就会下降. 这揭示了城市结构,有助于城市规划和疫情控制.
科学领域:
- 城市动态和人类地理.
- 复杂的系统和网络科学
- 时间空间模型.
背景情况:
- 人类的流动性对于城市的运作至关重要,它影响了空间结构,社会互动和经济生产力.
- 现有的流动模式往往忽略了经常性访问的频率,从而限制了对流动的定量理解.
- 对人类总体运动模式的全面了解是不完整的.
研究的目的:
- 揭示人类移动模式的普遍规律.
- 解释空间集群和城市结构的出现.
- 提供人类运动及其空间后果的机械模型.
主要方法:
- 分析大规模的全球人口流动数据.
- 开发和应用一个新的空间时间流的缩放法则.
- 构建一个包含探索和优先返回的基于个人的流动性模型.
主要成果:
- 一个强大的缩放定律被发现:访客数量随着访问频率和旅行距离的反正方形而减少.
- 时空流动导致显著的空间集群,其区域分布遵循Zipf定律.
- 个体移动模型成功地解释了观察到的缩放规律和新出现的空间结构.
结论:
- 发现的缩放定律为理解人类流动性提供了一个基本原则.
- 这些发现支持了人类地理学的长期理论,并提供了预测能力.
- 这项研究为城市规划,交通管理和疫情缓解提供了基础.
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