Articles

  • Nov 27, 2024 | mdpi.com | Jie Huang |Mo Wang |Yunpeng Cui |Juan Liu

    All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

  • Jul 26, 2024 | nature.com | Renlu Qiao |Shuo Gao |Xiaochang Liu |Li Xia |Guobin Zhang |Zhiyu Liu | +4 more

    Amid the escalating global climatic challenges, hydrological risks significantly influence human settlement patterns, underscoring the imperative for an in-depth comprehension of hydrological change’s ramifications on human migration. However, predominant research has been circumscribed to the national level. The study delves into the nonlinear effects of hydrological risks on migration dynamics in 46,776 global subnational units. Meanwhile, leveraging remote sensing, we procured globally consistent metrics of hydrological intrusion exposure, offering a holistic risk assessment encompassing hazard, exposure, and vulnerability dimensions, thus complementing previous work. Here, we show that exposure is the primary migration driver, surpassing socioeconomic factors. Surrounding disparities further intensified exposure’s impact. Vulnerable groups, especially the economically disadvantaged and elderly, tend to remain in high-risk areas, with the former predominantly migrating within proximate vicinities. The nonlinear analysis delineates an S-shaped trajectory for hydrological exposure, transitioning from resistance to migration and culminating in entrapment, revealing dependence on settlement resilience and adaptability. Hydrological risks drive migration more than socioeconomic factors. Vulnerable groups often stay in high-risk areas or migrate nearby. The study reveals an S-shaped migration pattern influenced by settlement resilience and adaptability.

  • Sep 5, 2023 | mdpi.com | Tong Chen |Mo Wang |Jin Su |Jianjun Li

    1. IntroductionIn accordance with United Nations projections, the world’s urban populace will experience an increment of 2.5 billion by 2050 []. The burgeoning urbanization, however, imposes significant environmental, economic, and social burdens on cities [,]. These challenges range from amplified poverty, unemployment, crime rates, and political unrest to intensifying environmental concerns such as biodiversity loss, pollution, and an escalating frequency of natural disasters.

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