Examining human mobility changes during COVID-19 across socioeconomic groups: a comparative analysis of San Diego County and New York City DOI Creative Commons
Jaehee Park, Ming‐Hsiang Tsou, Atsushi Nara

и другие.

Computational Urban Science, Год журнала: 2024, Номер 4(1)

Опубликована: Авг. 27, 2024

Abstract The COVID-19 pandemic brought unprecedented changes to various aspects of daily life, profoundly affecting human mobility. These in mobility patterns were not uniform, as numerous factors, including public health measures, socioeconomic status, and urban infrastructure, influenced them. This study examines during San Diego County New York City, employing Latent Profile Analysis (LPA) network measures analyze connectivity status (SES) within these regions. While many studies have revealed overall reductions or patterns, they often fail specify ’where’ occur lack a detailed understanding the relationship between SES changes. creates significant research gap spatial dimensions pandemic. aims address this by providing comprehensive analysis how varied across different groups By comparing before pandemic, we aim shed light on event impacted communities. Our contributes literature science examine COVID-19’s impact mobility, integrating variables into networks. approach provides social economic factors influence movement connectivity, highlighting disparities access groups. results identify areas functioning hubs bridges illustrate roles changed COVID-19, revealing existing societal inequalities. Specifically, observed that parks rural with national became while affluent high educational attainment saw decline centrality indicating shift dynamics exacerbating pre-existing disparities.

Язык: Английский

Urban exodus or suburbanisation? Medium-term COVID-19 pandemic impacts on internal migration in Japan DOI Creative Commons
Masaki Kotsubo, Tomoki Nakaya

GeoJournal, Год журнала: 2024, Номер 89(4)

Опубликована: Июль 10, 2024

Abstract The COVID-19 pandemic has profoundly affected internal migration patterns worldwide. Most previous studies have reported on pandemic-induced changes in using data from 2020 and 2021. Therefore, little is known about the pandemic’s medium-term impact. To address this gap, study investigated an annual series of 2019 to 2023 Japan. At municipal level, relationships between net rates population density indicated that urbanisation trend became weak 2020, compared 2019, it was weakest degree stronger 2023, increasing level 2020. Using inter-municipal flows, then flows to/from within three major metropolitan areas (Tokyo, Nagoya, Osaka). sizes these effectiveness index suggested had largest impact Tokyo area, among areas, stimulated intra-metropolitan as suburbanisation, rather than out-migration ‘urban exodus’, overall results 2021, which got smaller recovered pre-pandemic ones 2023.

Язык: Английский

Процитировано

2
Datos digitales y estudios de población DOI Open Access
Francisco Rowe, Miguel González‐Leonardo

Опубликована: Июнь 5, 2024

Los avances tecnológicos han permitido el desarrollo y almacenamiento de grandes cantidades datos digitales. El comportamiento humano las interacciones sociales que antes no podían capturarse, ahora pueden registrante a partir huellas digitales dejan personas al utilizar diferentes plataformas, como redes sociales, video streaming o aplicaciones compra online. ofrecen oportunidades en campo los estudios población, pues contienen información para analizar la dinámica demográficas, movilidad humana, casi tiempo real, con una amplia cobertura espacial alta resolución temporal geográfica. Sin embargo, uso presenta retos conceptuales, metodológicos éticos ser tenidos cuenta aprovechar estas oportunidades. En este capítulo, identificamos debatimos contexto población. También analizamos actual perspectivas futuro estos disciplina.

Процитировано

0
COVID-19 y movimientos de población entre la jerarquía rural-urbana en México. Un análisis utilizando datos digitales DOI Creative Commons
Miguel González‐Leonardo, Carmen Cabrera-Arnau, Ruth Neville

и другие.

Estudios Demográficos y Urbanos, Год журнала: 2024, Номер 39(3), С. 1 - 23

Опубликована: Авг. 20, 2024

Estudios previos en países del Norte Global han documentado el descenso de los movimientos internos población durante la pandemia COVID-19, acompañado aumento desplazamientos desde las grandes ciudades hacia áreas menos densamente pobladas. Sin embargo, no hay evidencias consistentes sobre efecto a través jerarquía urbana Sur Global. En esta investigación se utilizan datos telefonía móvil usuarios Facebook entre abril 2020 y mayo 2022 para analizar cómo cambiaron intensidades patrones movilidad larga distancia (>100 km) diferentes categorías densidad COVID-19 México. Los resultados muestran un 40% periodo diciembre 2020. Al contrario que desarrollados, identificó ciudades, sino generalizado tanto flujos salida como entrada todas población, excepto interrurales. Además, mayor reducción registró cayeron 50%. igual Global, recuperaron progresivamente valores tendencias observados con anterioridad 2021 2022, aunque mostraron una recuperación más lenta siguieron registrando ligeramente inferiores aún 2022.

Процитировано

0
Examining human mobility changes during COVID-19 across socioeconomic groups: a comparative analysis of San Diego County and New York City DOI Creative Commons
Jaehee Park, Ming‐Hsiang Tsou, Atsushi Nara

и другие.

Computational Urban Science, Год журнала: 2024, Номер 4(1)

Опубликована: Авг. 27, 2024

Abstract The COVID-19 pandemic brought unprecedented changes to various aspects of daily life, profoundly affecting human mobility. These in mobility patterns were not uniform, as numerous factors, including public health measures, socioeconomic status, and urban infrastructure, influenced them. This study examines during San Diego County New York City, employing Latent Profile Analysis (LPA) network measures analyze connectivity status (SES) within these regions. While many studies have revealed overall reductions or patterns, they often fail specify ’where’ occur lack a detailed understanding the relationship between SES changes. creates significant research gap spatial dimensions pandemic. aims address this by providing comprehensive analysis how varied across different groups By comparing before pandemic, we aim shed light on event impacted communities. Our contributes literature science examine COVID-19’s impact mobility, integrating variables into networks. approach provides social economic factors influence movement connectivity, highlighting disparities access groups. results identify areas functioning hubs bridges illustrate roles changed COVID-19, revealing existing societal inequalities. Specifically, observed that parks rural with national became while affluent high educational attainment saw decline centrality indicating shift dynamics exacerbating pre-existing disparities.

Язык: Английский

Процитировано

0