A compact multi-hazard assessment model to identify urban areas prone to heat islands, floods and particulate matter

Urbanization and climate change intensify environmental hazards such as the Surface Urban Heat Island (UHI) effect, the concentration of Particulate Matter 10 μm or less in diameter (PM10) and flooding. These hazards are common in cities, driven by factors such as land cover changes, energy consumption, road traffic, soil sealing and proximity to water. To address the gaps identified in previous studies, which focus on modelling single hazards and/or use many variables, we developed a compact multi-hazard assessment model to identify urban areas prone to the three hazards mentioned. A reduced number of variables were processed using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) to model each hazard and then combine the results into a composite multi-hazard metric. The criteria weights were optimized based on observed values of SUHI, PM10 and floods in the city of Santander (Spain), where the model was tested. The results showed a strong correlation between our multi-hazard map and the observed data, suggesting that using few variables can effectively identify hotspots with heightened combined impacts of these hazards. The most critical areas were found in the central and southwestern parts of the city, where infrastructure and artificial surfaces with lower albedo and permeability, as well as high traffic volumes, predominate. Accordingly, strategies to counteract the effects of these hazards should consider a shift in urban design, emphasizing light-colored, porous pavements and various forms of vegetation. These measures contribute to thermal regulation, runoff control and air purification, thus contributing to make cities more resilient. • We developed a compact spatial multi-criteria model for multi-hazard assessment. • Urban heat islands, floods and particulate matter were the hazards considered. • Three or fewer variables were enough to identify urban areas prone to each hazard. • Albedo, runoff threshold and road area were the main drivers of these urban hazards. • Sustainable urban planning should include bright porous pavements and vegetation.

Authors

Institutions

Publication Details

Journal
International Journal of Disaster Risk Reduction
Published
2025-02-08
DOI
https://doi.org/10.1016/j.ijdrr.2025.105277
Citations
8
Primary Topic
Urban Heat Island Mitigation
Type
article
Field-Weighted Citation Impact
6.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A compact multi-hazard assessment model to identify urban areas prone to heat islands, floods and particulate matter

Daniel Jato‐Espino, Alejandro Roldán-Valcarce, Cristina Manchado
8 citations
International Journal of Disaster Risk Reduction
Urban Heat Island Mitigation
6.39
article

A compact multi-hazard assessment model to identify urban areas prone to heat islands, floods and particulate matter

Daniel Jato‐Espino, Alejandro Roldán-Valcarce, Cristina Manchado
article en
8 citations

Abstract

Urbanization and climate change intensify environmental hazards such as the Surface Urban Heat Island (UHI) effect, the concentration of Particulate Matter 10 μm or less in diameter (PM10) and flooding. These hazards are common in cities, driven by factors such as land cover changes, energy consumption, road traffic, soil sealing and proximity to water. To address the gaps identified in previous studies, which focus on modelling single hazards and/or use many variables, we developed a compact multi-hazard assessment model to identify urban areas prone to the three hazards mentioned. A reduced number of variables were processed using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) to model each hazard and then combine the results into a composite multi-hazard metric. The criteria weights were optimized based on observed values of SUHI, PM10 and floods in the city of Santander (Spain), where the model was tested. The results showed a strong correlation between our multi-hazard map and the observed data, suggesting that using few variables can effectively identify hotspots with heightened combined impacts of these hazards. The most critical areas were found in the central and southwestern parts of the city, where infrastructure and artificial surfaces with lower albedo and permeability, as well as high traffic volumes, predominate. Accordingly, strategies to counteract the effects of these hazards should consider a shift in urban design, emphasizing light-colored, porous pavements and various forms of vegetation. These measures contribute to thermal regulation, runoff control and air purification, thus contributing to make cities more resilient. • We developed a compact spatial multi-criteria model for multi-hazard assessment. • Urban heat islands, floods and particulate matter were the hazards considered. • Three or fewer variables were enough to identify urban areas prone to each hazard. • Albedo, runoff threshold and road area were the main drivers of these urban hazards. • Sustainable urban planning should include bright porous pavements and vegetation.

International Journal of Disaster Risk ReductionVol. 119
Universidad de Cantabria (ES), Valencian International University (ES)
Sustainable cities and communities
Openalex Percentile: Top 4%
Urban Heat Island Mitigation
6.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.