Influencing factors and their influencing mechanisms on urban resilience in China

Sustainable Cities and Society, Год журнала: 2021, Номер 74, С. 103210 - 103210

Опубликована: Июль 27, 2021

Язык: Английский

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Assessment of the urban waterlogging resilience and identification of its driving factors: A case study of Wuhan City, China

The Science of The Total Environment, Год журнала: 2023, Номер 866, С. 161321 - 161321

Опубликована: Янв. 2, 2023

Язык: Английский

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Assessment of temporal and spatial progress of urban resilience in Guangzhou under rainstorm scenarios

International Journal of Disaster Risk Reduction, Год журнала: 2021, Номер 66, С. 102578 - 102578

Опубликована: Сен. 14, 2021

Язык: Английский

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A comparative analysis on flood risk assessment and management performances between Beijing and Munich

Environmental Impact Assessment Review, Год журнала: 2023, Номер 104, С. 107319 - 107319

Опубликована: Окт. 12, 2023

Язык: Английский

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Dealing with urban floods within a resilience framework regarding disaster stages

Habitat International, Год журнала: 2023, Номер 136, С. 102783 - 102783

Опубликована: Май 5, 2023

Язык: Английский

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Societal determinants of flood-induced displacement

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(3)

Опубликована: Янв. 8, 2024

What explains human consequences of weather-related disaster? Here, we explore how core socioeconomic, political, and security conditions shape flood-induced displacement worldwide since 2000. In-sample regression analysis shows that extreme levels are more likely in contexts marked by low national income levels, nondemocratic political systems, high local economic activity, prevalence armed conflict. The also reveals large residual differences across continents, where the Global South often is much widespread than direct exposure measures would suggest. However, these factors have limited influence on our ability to accurately predict flood new data, pointing important, hard-to-operationalize heterogeneity impacts critical data limitations. Although results consistent with an interpretation sustainable development agenda beneficial for disaster risk reduction, better societal natural hazards critically needed support evidence-based decision-making.

Язык: Английский

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Evaluation framework ACR-UFDR for urban form disaster resilience under rainstorm and flood scenarios: A case study in Nanjing, China

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105424 - 105424

Опубликована: Апрель 8, 2024

Язык: Английский

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Spatio-temporal evolution of resilience: The case of the Chengdu-Chongqing urban agglomeration in China

Cities, Год журнала: 2024, Номер 153, С. 105226 - 105226

Опубликована: Июль 17, 2024

Язык: Английский

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A novel strategy for flood flow Prediction: Integrating Spatio-Temporal information through a Two-Dimensional hidden layer structure

Journal of Hydrology, Год журнала: 2024, Номер 638, С. 131482 - 131482

Опубликована: Июнь 13, 2024

Язык: Английский

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Review of Urban Flood Resilience: Insights from Scientometric and Systematic Analysis

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(14), С. 8837 - 8837

Опубликована: Июль 21, 2022

In recent decades, climate change is exacerbating meteorological disasters around the world, causing more serious urban flood disaster losses. Many solutions in related research have been proposed to enhance adaptation change, including flooding simulations, risk reduction and flood-resistance capacity. this paper we provide a thorough review of flood-resilience using scientometric systematic analysis. Using Cite Space VOS viewer, conducted analysis quantitively analyze papers from Web Science Core Collection 1999 2021 with resilience as keyword. We systematically summarize relationship resilience, co-citation keywords, authors, institutions, countries, trends. The results show that four stages can be distinguished indicate evolution different keywords management 1999, has become hotspot significant increase globally since 2015. methods progress these fields are analyzed, planning, system flood-simulation models. Climate high interest research. Urban planning systems differ terms human involvement local policies, while dynamic factors need jointly described. Models mostly evaluated indicators, comprehensive studies based on traditional models needed for multi-level higher performance Consequently, about policies dynamics within global areas combined fine simulation future, improving concept applied flood-risk-management assessment.

Язык: Английский

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