A Methodological Exploration: Understanding Building Density and Flood Susceptibility in Urban Areas

Rapid urbanization in developing megacities has exacerbated hydrological imbalances, positioning urban flooding as a major environmental and socio-economic challenge of the twenty-first century. This study investigates the spatial relationship between building density, topography, and flood susceptibility in Jakarta, Indonesia—one of the most flood-prone urban regions globally. Employing geospatial analysis and spatial autocorrelation techniques, the research assesses how variations in land-use concentration and elevation influence the spatial clustering of flood vulnerability. The analytical framework integrates multiple spatial datasets, including Digital Elevation Models (DEMs), building footprint densities, and flood hazard maps, within a Geographic Information System (GIS) environment. Spatial statistical measures, specifically Moran’s I and Local Indicators of Spatial Association (LISA), are utilized to quantify and visualize patterns of flood susceptibility. The findings reveal that zones characterized by high building density and low elevation form statistically significant clusters of heightened flood risk, particularly within the southern and eastern subdistricts of Jakarta. The study concludes that incorporating spatially explicit and statistically rigorous methodologies enhances the accuracy of flood-risk assessments and supports evidence-based strategies for sustainable urban development and resilience planning.

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Publication Details

Journal
Urban Science
Published
2025-12-24
DOI
https://doi.org/10.3390/urbansci10010008
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

A Methodological Exploration: Understanding Building Density and Flood Susceptibility in Urban Areas

M. Ganang Wira Pradana, Satria Indratmoko, Dwinanti Rika Marthanty, Nadya Kamila et al.
Urban Science
Flood Risk Assessment and Management
article

A Methodological Exploration: Understanding Building Density and Flood Susceptibility in Urban Areas

M. Ganang Wira Pradana, Satria Indratmoko, Dwinanti Rika Marthanty, Nadya Kamila, Ardiansyah, Ahmad Gamal
article en

Abstract

Rapid urbanization in developing megacities has exacerbated hydrological imbalances, positioning urban flooding as a major environmental and socio-economic challenge of the twenty-first century. This study investigates the spatial relationship between building density, topography, and flood susceptibility in Jakarta, Indonesia—one of the most flood-prone urban regions globally. Employing geospatial analysis and spatial autocorrelation techniques, the research assesses how variations in land-use concentration and elevation influence the spatial clustering of flood vulnerability. The analytical framework integrates multiple spatial datasets, including Digital Elevation Models (DEMs), building footprint densities, and flood hazard maps, within a Geographic Information System (GIS) environment. Spatial statistical measures, specifically Moran’s I and Local Indicators of Spatial Association (LISA), are utilized to quantify and visualize patterns of flood susceptibility. The findings reveal that zones characterized by high building density and low elevation form statistically significant clusters of heightened flood risk, particularly within the southern and eastern subdistricts of Jakarta. The study concludes that incorporating spatially explicit and statistically rigorous methodologies enhances the accuracy of flood-risk assessments and supports evidence-based strategies for sustainable urban development and resilience planning.

Urban ScienceVol. 10(1)
University of Indonesia (ID)
Nanyang Technological University, Universitas Indonesia
Sustainable cities and communities
Openalex Percentile: Top 37%
Flood Risk Assessment and Management
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A Methodological Exploration: Understanding Building Density and Flood Susceptibility in Urban Areas — M. Ganang Wira Pradana, Satria Indratmoko, et al. · Urban Science (2025) | TGRS Research Map | TGRS