Articles | Volume 24, issue 9
https://doi.org/10.5194/nhess-24-3299-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-3299-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Urban growth and spatial segregation increase disaster risk: lessons learned from the 2023 disaster on the North Coast of São Paulo, Brazil
Cassiano Bastos Moroz
CORRESPONDING AUTHOR
Institute of Environmental Sciences and Geography, University of Potsdam, Potsdam, 14476, Germany
Annegret H. Thieken
Institute of Environmental Sciences and Geography, University of Potsdam, Potsdam, 14476, Germany
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Cited
17 citations as recorded by crossref.
- Coupled evolution of a city and landslides S. Nieto et al. https://doi.org/10.1088/1748-9326/adc4d8
- The ‘What If’ framework: A scenario-based counterfactual approach to modelling urban resilience and disaster impact R. Camacho et al. https://doi.org/10.1016/j.scs.2026.107463
- Sociopolitical construction of disaster risk in informal settlements (SoPoCoDRIS): Evidence from extractive cities in Northern Chile Y. Gatica & M. Cornejo https://doi.org/10.1016/j.ijdrr.2026.106189
- Margins of habitability. A qualitative study on housing and marginalization in México O. Martínez-Martínez et al. https://doi.org/10.3389/frsc.2025.1700078
- Multi-hazard risk assessment and management: pathways for the Sendai Framework and beyond T. Tiggeloven et al. https://doi.org/10.5194/gc-9-185-2026
- Spatial Differentiation of Climate Risks Across U.S. Metropolitan Statistical Areas: An Empirical Analysis Based on PCA and K-Means Clustering B. Zhang & D. Liu https://doi.org/10.3390/su18094236
- Towards High-Resolution Population Mapping: Leveraging Open Data, Remote Sensing, and AI for Geospatial Analysis in Developing Country Cities—A Case Study of Bangkok K. Maneepong et al. https://doi.org/10.3390/rs17071204
- Global urban exposure near volcanoes is increasing: a spatio-temporal analysis from 1975 to 2030 E. Meredith et al. https://doi.org/10.1038/s44304-026-00203-w
- Urban morphology as a proxy for housing and infrastructure inequality: A machine learning approach using open building footprint data C. Bastos Moroz & A. Thieken https://doi.org/10.1016/j.compenvurbsys.2026.102402
- Urban poor are the most endangered by socio-natural hazards, but not exclusively: the 2025 Granizal Landslide case U. Ozturk et al. https://doi.org/10.1007/s10346-025-02680-y
- New-type urbanization policy and climate transition: Evidence from a quasi-natural experiment of 2302 counties in China Z. Liu et al. https://doi.org/10.1016/j.scs.2025.106934
- Urbanisation and Demographic Restructuring in Jammu City, India: Built-up Expansion, Spatial Clustering, and Urban Agglomeration Dynamics A. Hussain & M. Soheb https://doi.org/10.1007/s40980-026-00162-w
- The Role of Prior Disaster Experience in Shaping Risk Perception and Preparedness in Brazil G. Seddig et al. https://doi.org/10.1007/s13753-026-00699-w
- Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response H. Chen et al. https://doi.org/10.5194/essd-17-6217-2025
- Proposal for a Data Model for a Multipurpose Cadastre in Chile Based on Land Administration Model ISO 19152 for Natural Disaster and Risk Management D. Flores-Rozas & M. Manso-Callejo https://doi.org/10.3390/urbansci9120532
- Temporary Structures, Permanent Challenges: ‘Containerisation’ and Urban Governance in the Sunyani Municipality, Ghana D. Anaafo et al. https://doi.org/10.1007/s12132-025-09541-w
- Coupling land use planning and multi-stakeholder dynamics to inform disaster risk management: Who pays for risk and who gains from intervention? J. Wang et al. https://doi.org/10.1016/j.ijdrr.2026.106222
17 citations as recorded by crossref.
- Coupled evolution of a city and landslides S. Nieto et al. https://doi.org/10.1088/1748-9326/adc4d8
- The ‘What If’ framework: A scenario-based counterfactual approach to modelling urban resilience and disaster impact R. Camacho et al. https://doi.org/10.1016/j.scs.2026.107463
- Sociopolitical construction of disaster risk in informal settlements (SoPoCoDRIS): Evidence from extractive cities in Northern Chile Y. Gatica & M. Cornejo https://doi.org/10.1016/j.ijdrr.2026.106189
- Margins of habitability. A qualitative study on housing and marginalization in México O. Martínez-Martínez et al. https://doi.org/10.3389/frsc.2025.1700078
- Multi-hazard risk assessment and management: pathways for the Sendai Framework and beyond T. Tiggeloven et al. https://doi.org/10.5194/gc-9-185-2026
- Spatial Differentiation of Climate Risks Across U.S. Metropolitan Statistical Areas: An Empirical Analysis Based on PCA and K-Means Clustering B. Zhang & D. Liu https://doi.org/10.3390/su18094236
- Towards High-Resolution Population Mapping: Leveraging Open Data, Remote Sensing, and AI for Geospatial Analysis in Developing Country Cities—A Case Study of Bangkok K. Maneepong et al. https://doi.org/10.3390/rs17071204
- Global urban exposure near volcanoes is increasing: a spatio-temporal analysis from 1975 to 2030 E. Meredith et al. https://doi.org/10.1038/s44304-026-00203-w
- Urban morphology as a proxy for housing and infrastructure inequality: A machine learning approach using open building footprint data C. Bastos Moroz & A. Thieken https://doi.org/10.1016/j.compenvurbsys.2026.102402
- Urban poor are the most endangered by socio-natural hazards, but not exclusively: the 2025 Granizal Landslide case U. Ozturk et al. https://doi.org/10.1007/s10346-025-02680-y
- New-type urbanization policy and climate transition: Evidence from a quasi-natural experiment of 2302 counties in China Z. Liu et al. https://doi.org/10.1016/j.scs.2025.106934
- Urbanisation and Demographic Restructuring in Jammu City, India: Built-up Expansion, Spatial Clustering, and Urban Agglomeration Dynamics A. Hussain & M. Soheb https://doi.org/10.1007/s40980-026-00162-w
- The Role of Prior Disaster Experience in Shaping Risk Perception and Preparedness in Brazil G. Seddig et al. https://doi.org/10.1007/s13753-026-00699-w
- Bright: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response H. Chen et al. https://doi.org/10.5194/essd-17-6217-2025
- Proposal for a Data Model for a Multipurpose Cadastre in Chile Based on Land Administration Model ISO 19152 for Natural Disaster and Risk Management D. Flores-Rozas & M. Manso-Callejo https://doi.org/10.3390/urbansci9120532
- Temporary Structures, Permanent Challenges: ‘Containerisation’ and Urban Governance in the Sunyani Municipality, Ghana D. Anaafo et al. https://doi.org/10.1007/s12132-025-09541-w
- Coupling land use planning and multi-stakeholder dynamics to inform disaster risk management: Who pays for risk and who gains from intervention? J. Wang et al. https://doi.org/10.1016/j.ijdrr.2026.106222
Saved (final revised paper)
Latest update: 08 Jul 2026
Short summary
We evaluate the influence of urban processes on the impacts of the 2023 disaster that hit the North Coast of São Paulo, Brazil. The impacts of the disaster were largely associated with rapid urban expansion over the last 3 decades, with a recent occupation of risky areas. Moreover, lower-income neighborhoods were considerably more severely impacted, which evidences their increased exposure to such events. These results highlight the strong association between disaster risk and urban poverty.
We evaluate the influence of urban processes on the impacts of the 2023 disaster that hit the...
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