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大墨西哥城的流动网络。

Mobility networks in Greater Mexico City.

机构信息

Escuela 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.

National Institute of Genomics Medicine, Periferico Sur 4809, Arenal Tepepan, Tlalpan, 14610, Mexico City, Mexico.

出版信息

Sci Data. 2024 Jan 18;11(1):84. doi: 10.1038/s41597-023-02880-y.

Abstract

Based on more than 11 billion geolocated cell phone records from 33 million different devices, daily mobility networks were constructed over a 15-month period for Greater Mexico City, one of the largest and most diverse metropolitan areas globally. The time frame considered spans the entire year of 2020 and the first three months of 2021, enabling the analysis of population movement dynamics before, during, and after the COVID-19 health contingency. The nodes within the 456 networks represent the basic statistical geographic areas (AGEBs) established by the National Institute of Statistics, Geography, and Informatics (INEGI) in Mexico. This framework facilitates the integration of mobility data with numerous indicators provided by INEGI. Edges connecting these nodes represent movement between AGEBs, with edge weights indicating the volume of trips from one AGEB to another. This extensive dataset allows researchers to uncover travel patterns, cross-reference data with socio-economic indicators, and conduct segregation studies, among other potential analyses.

摘要

基于来自 3300 万台不同设备的超过 110 亿个地理位置的手机记录,在长达 15 个月的时间里,为全球最大、最多样化的大都市区之一——大墨西哥城构建了日常流动网络。所考虑的时间范围涵盖了 2020 年全年和 2021 年的前三个月,使我们能够分析 COVID-19 卫生应急之前、期间和之后的人口流动动态。456 个网络中的节点代表了墨西哥国家统计、地理和信息研究所(INEGI)建立的基本统计地理区域(AGEB)。该框架便于将流动数据与 INEGI 提供的众多指标相结合。连接这些节点的边表示 AGEB 之间的移动,边的权重表示从一个 AGEB 到另一个 AGEB 的旅行量。这个庞大的数据集使研究人员能够发现旅行模式,将数据与社会经济指标交叉引用,并进行隔离研究等其他潜在分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76d7/10796321/e35a960930d0/41597_2023_2880_Fig1_HTML.jpg

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