Sasha Bacquet-Carlier , Aude Bernard , Francisco Perales
{"title":"风化变化:澳大利亚极端天气事件后居民迁移的纵向模式","authors":"Sasha Bacquet-Carlier , Aude Bernard , Francisco Perales","doi":"10.1016/j.gloenvcha.2025.103050","DOIUrl":null,"url":null,"abstract":"<div><div>There is growing evidence of disaster-induced mobility. However, most research focuses on immediate displacement, limiting our ability to understand the long-term consequences of extreme weather events on residential mobility. To address this gap, this study establishes the relationships between home damage caused by bushfires, floods, and cyclones and ensuing residential mobility in the following five years. Using nationally representative individual-level data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey from 2009 to 2023, we use finite distributed lag logistic models to determine the level, timing, and direction of weather-induced mobility, distinguishing between onward and return movement and distance moved. While most moves occur in the immediate aftermath of an extreme weather event, results indicate that weather-induced home damage increases the odds of moving for up to three years. Four distinct mobility patterns emerge: (1) <em>immediate relocation</em>, which brings some moves forward, (2) <em>delayed displacement</em> up to three years later, particularly over short distances, (3) <em>short-term displacement</em> followed by return, and (4) <em>repeat onward migration</em>. Younger adults and renters are more likely to be involved in all mobility types. Tertiary-educated individuals are less likely to return, but more likely to move repeatedly, while separated individuals are more likely to be delayed movers. The diversity of mobility responses underscores the conceptual and methodological complexities of estimating weather-induced population movement and the need for nuance and caution, while showing the benefits of distributed lag models to capture time dynamics. Our findings also highlight the need for targeted support mechanisms that account for different mobility trajectories and varying constraints faced by sub-population groups in the aftermath of extreme weather events.</div></div>","PeriodicalId":328,"journal":{"name":"Global Environmental Change","volume":"94 ","pages":"Article 103050"},"PeriodicalIF":9.1000,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weathering change: Longitudinal patterns of residential mobility following extreme weather events in Australia\",\"authors\":\"Sasha Bacquet-Carlier , Aude Bernard , Francisco Perales\",\"doi\":\"10.1016/j.gloenvcha.2025.103050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>There is growing evidence of disaster-induced mobility. However, most research focuses on immediate displacement, limiting our ability to understand the long-term consequences of extreme weather events on residential mobility. To address this gap, this study establishes the relationships between home damage caused by bushfires, floods, and cyclones and ensuing residential mobility in the following five years. Using nationally representative individual-level data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey from 2009 to 2023, we use finite distributed lag logistic models to determine the level, timing, and direction of weather-induced mobility, distinguishing between onward and return movement and distance moved. While most moves occur in the immediate aftermath of an extreme weather event, results indicate that weather-induced home damage increases the odds of moving for up to three years. Four distinct mobility patterns emerge: (1) <em>immediate relocation</em>, which brings some moves forward, (2) <em>delayed displacement</em> up to three years later, particularly over short distances, (3) <em>short-term displacement</em> followed by return, and (4) <em>repeat onward migration</em>. Younger adults and renters are more likely to be involved in all mobility types. Tertiary-educated individuals are less likely to return, but more likely to move repeatedly, while separated individuals are more likely to be delayed movers. The diversity of mobility responses underscores the conceptual and methodological complexities of estimating weather-induced population movement and the need for nuance and caution, while showing the benefits of distributed lag models to capture time dynamics. Our findings also highlight the need for targeted support mechanisms that account for different mobility trajectories and varying constraints faced by sub-population groups in the aftermath of extreme weather events.</div></div>\",\"PeriodicalId\":328,\"journal\":{\"name\":\"Global Environmental Change\",\"volume\":\"94 \",\"pages\":\"Article 103050\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Environmental Change\",\"FirstCategoryId\":\"6\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0959378025000871\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Environmental Change","FirstCategoryId":"6","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959378025000871","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Weathering change: Longitudinal patterns of residential mobility following extreme weather events in Australia
There is growing evidence of disaster-induced mobility. However, most research focuses on immediate displacement, limiting our ability to understand the long-term consequences of extreme weather events on residential mobility. To address this gap, this study establishes the relationships between home damage caused by bushfires, floods, and cyclones and ensuing residential mobility in the following five years. Using nationally representative individual-level data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey from 2009 to 2023, we use finite distributed lag logistic models to determine the level, timing, and direction of weather-induced mobility, distinguishing between onward and return movement and distance moved. While most moves occur in the immediate aftermath of an extreme weather event, results indicate that weather-induced home damage increases the odds of moving for up to three years. Four distinct mobility patterns emerge: (1) immediate relocation, which brings some moves forward, (2) delayed displacement up to three years later, particularly over short distances, (3) short-term displacement followed by return, and (4) repeat onward migration. Younger adults and renters are more likely to be involved in all mobility types. Tertiary-educated individuals are less likely to return, but more likely to move repeatedly, while separated individuals are more likely to be delayed movers. The diversity of mobility responses underscores the conceptual and methodological complexities of estimating weather-induced population movement and the need for nuance and caution, while showing the benefits of distributed lag models to capture time dynamics. Our findings also highlight the need for targeted support mechanisms that account for different mobility trajectories and varying constraints faced by sub-population groups in the aftermath of extreme weather events.
期刊介绍:
Global Environmental Change is a prestigious international journal that publishes articles of high quality, both theoretically and empirically rigorous. The journal aims to contribute to the understanding of global environmental change from the perspectives of human and policy dimensions. Specifically, it considers global environmental change as the result of processes occurring at the local level, but with wide-ranging impacts on various spatial, temporal, and socio-political scales.
In terms of content, the journal seeks articles with a strong social science component. This includes research that examines the societal drivers and consequences of environmental change, as well as social and policy processes that aim to address these challenges. While the journal covers a broad range of topics, including biodiversity and ecosystem services, climate, coasts, food systems, land use and land cover, oceans, urban areas, and water resources, it also welcomes contributions that investigate the drivers, consequences, and management of other areas affected by environmental change.
Overall, Global Environmental Change encourages research that deepens our understanding of the complex interactions between human activities and the environment, with the goal of informing policy and decision-making.