在大墨西哥城的移动网络
Marisol Flores-Garrido1, Guillermo de Anda-Jáuregui2,3, Plinio Guzmán4
1Escuela Nacional de Estudios Superiores Unidad Morelia, Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro 8701, Indeco la Huerta, Ciudad de México, 58190, Michoacan, Mexico.
Scientific data
|January 18, 2024
概括
这项研究分析了110亿个手机记录,绘制了2020-2021年大墨西哥城每日流动情况的地图. 这些发现揭示了COVID-19大流行之前,期间和之后的人口流动模式.
科学领域:
- 城市研究是城市研究.
- 网络科学 网络科学
- 流行病学 流行病学
背景情况:
- 了解人口流动性对于城市规划和公共卫生至关重要.
- 在全球范围内,COVID-19流行病显著改变了人类的移动模式.
- 墨西哥城的大规模和多样性为流动性分析带来了独特的挑战和机会.
研究的目的:
- 构建和分析大墨西哥城的日常移动网络.
- 调查2020-2021年的人口流动动态,包括COVID-19大流行.
- 为整合流动与社会经济和人口统计指标提供数据框架.
主要方法:
- 从3300万台设备中利用了超过110亿个地理位置的手机记录.
- 开发了456个基本统计地理区域 (AGEB) 的日常移动网络作为节点.
- 使用代表旅行量的边缘重量来量化AGEB间的移动.
主要成果:
- 在15个月内为大墨西哥城建立了全面的日常移动网络.
- 启用了在COVID-19健康突发事件之前,期间和之后的移动转移分析.
- 创建了一个框架,将移动数据与国家统计,地理和信息学研究所 (INEGI) 的指标联系起来.
结论:
- 该研究提供了一个强大的数据集,以了解城市移动动态.
- 综合数据框架支持对旅行模式和社会空间隔离进行深入分析.
- 这项研究为城市规划,公共卫生干预和大都市地区的社会经济研究提供了宝贵的见解.
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