Miguel González-Leonardo, Carmen Cabrera, Ruth Neville, Andrea Nasuto, Francisco Rowe
{"title":"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。","authors":"Miguel González-Leonardo, Carmen Cabrera, Ruth Neville, Andrea Nasuto, Francisco Rowe","doi":"10.1215/00703370-12183205","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48394,"journal":{"name":"Demography","volume":" ","pages":"1171-1184"},"PeriodicalIF":3.6000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Beyond the Immediate Impacts of COVID-19 on Internal Population Movements in Mexico: Facebook Data Reveal Urban Decay and Slow Recovery-A Research Note.\",\"authors\":\"Miguel González-Leonardo, Carmen Cabrera, Ruth Neville, Andrea Nasuto, Francisco Rowe\",\"doi\":\"10.1215/00703370-12183205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":48394,\"journal\":{\"name\":\"Demography\",\"volume\":\" \",\"pages\":\"1171-1184\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Demography\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1215/00703370-12183205\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Demography","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1215/00703370-12183205","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
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.
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.