2019冠状病毒病对墨西哥国内人口流动的直接影响之外:Facebook数据揭示了城市衰败和缓慢复苏——一份研究报告。

IF 3.6 1区 社会学 Q1 DEMOGRAPHY
Miguel González-Leonardo, Carmen Cabrera, Ruth Neville, Andrea Nasuto, Francisco Rowe
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引用次数: 0

摘要

此前的研究表明,在全球北方许多国家,在2019冠状病毒病大流行的最初几个月,内部流动性下降,大城市外流增加。然而,由于高分辨率数据有限,人们对这一流行病对整个城乡等级和全球南方背景下的流动水平和模式的长期影响仍然知之甚少。利用Facebook用户的位置数据,我们研究了墨西哥从2020年4月到2022年5月不同人口密度类别的长距离移动(100公里)的变化。我们发现,与大流行前的基线相比,2020年4月至12月期间的长途流动减少了40%,其中大城市之间的流动减少幅度最大,超过50%。与全球北方的模式相反,我们观察到大城市的资金外流没有增加。2021-2022年期间,人口流动模式逐渐恢复到基线水平,但在人口最密集的地区,恢复速度较慢。我们的研究结果提供了第一个中期证据,证明大流行如何影响全球南方一个主要国家农村-城市阶层的内部流动。它们突出了高度城市化和社会经济不平等背景下人口流动中断的独特动态,并展示了数字追踪数据在无法获得传统统计数据的情况下研究人口流动的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond the Immediate Impacts of COVID-19 on Internal Population Movements in Mexico: Facebook Data Reveal Urban Decay and Slow Recovery-A Research Note.

Previous research has shown that internal mobility declined and outflows from large cities increased during the early months of the COVID-19 pandemic in many Global North countries. However, the longer term impacts of the pandemic on mobility levels and patterns across the rural-urban hierarchy and in Global South contexts remain poorly understood because of limited high-resolution data. Drawing on location data of Facebook users, we examine changes in long-distance movements (>100 kilometers) across population density categories in Mexico from April 2020 to May 2022. We find a 40% decline in long-distance movements during April-December 2020 relative to a prepandemic baseline, with the largest reductions-more than 50%-in flows to and from large cities. In contrast to Global North patterns, we observe no increase in outflows from large cities. Movement patterns gradually returned to baseline during 2021-2022, but recovery was slower in the most densely populated areas. Our findings provide the first medium-term evidence of how the pandemic affected internal mobility across the rural-urban hierarchy in a major Global South country. They highlight the distinct dynamics of mobility disruptions in highly urbanized and socioeconomically unequal contexts and demonstrate the value of digital trace data for studying population movements where conventional statistics are unavailable.

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来源期刊
Demography
Demography DEMOGRAPHY-
CiteScore
5.90
自引率
2.90%
发文量
82
期刊介绍: Since its founding in 1964, the journal Demography has mirrored the vitality, diversity, high intellectual standard and wide impact of the field on which it reports. Demography presents the highest quality original research of scholars in a broad range of disciplines, including anthropology, biology, economics, geography, history, psychology, public health, sociology, and statistics. The journal encompasses a wide variety of methodological approaches to population research. Its geographic focus is global, with articles addressing demographic matters from around the planet. Its temporal scope is broad, as represented by research that explores demographic phenomena spanning the ages from the past to the present, and reaching toward the future. Authors whose work is published in Demography benefit from the wide audience of population scientists their research will reach. Also in 2011 Demography remains the most cited journal among population studies and demographic periodicals. Published bimonthly, Demography is the flagship journal of the Population Association of America, reaching the membership of one of the largest professional demographic associations in the world.
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