From Disasters to Measurements: Experience-Derived Urban Resilience Indicators from Selected Cases in the Global South

Urban resilience indicator frameworks are conventionally built from the top down. A conceptual model of resilience is specified, divided into dimensions, and populated with indicators chosen through expert judgment. Empirical evidence often enters to validate a structure already fixed. This paper reverses that sequence and derives indicators from conditions documented as shaping outcomes in real disaster events. Two evidence bases are used. A systematic review of 270 peer-reviewed empirical studies of flooding, earthquakes, wildfires, volcanic eruptions and heatwaves, published between 2000 and 2025, yields 24 recurrent determinants and 19 common core indicators applicable across hazards. Twenty-five documented cases from the Global South provide evidence of physical conditions not captured in the reviewed studies, yielding 61 hazard-specific indicators and 80 indicators in total. The derived set converges with established frameworks where administrative and spatial data already exist and diverges systematically elsewhere. The divergent indicators share one property: none can be populated from records municipalities already hold. Failures in the documented cases concerned implementation rather than a lack of knowledge, and in nineteen of the twenty-five events the mechanism connecting hazard to harm ran through informality, chiefly unpermitted construction and unrecognized informal settlements.

Authors

Institutions

Publication Details

Journal
Urban Science
Published
2026-11-10
DOI
https://doi.org/10.3390/urbansci10110649
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

From Disasters to Measurements: Experience-Derived Urban Resilience Indicators from Selected Cases in the Global South

Madhavi Prashant Patil, Ayşe Özbil Torun, Ashraf M. Salama, Eda Seyok
Urban Science
Disaster Management and Resilience
article

From Disasters to Measurements: Experience-Derived Urban Resilience Indicators from Selected Cases in the Global South

Madhavi Prashant Patil, Ayşe Özbil Torun, Ashraf M. Salama, Eda Seyok
article en

Abstract

Urban resilience indicator frameworks are conventionally built from the top down. A conceptual model of resilience is specified, divided into dimensions, and populated with indicators chosen through expert judgment. Empirical evidence often enters to validate a structure already fixed. This paper reverses that sequence and derives indicators from conditions documented as shaping outcomes in real disaster events. Two evidence bases are used. A systematic review of 270 peer-reviewed empirical studies of flooding, earthquakes, wildfires, volcanic eruptions and heatwaves, published between 2000 and 2025, yields 24 recurrent determinants and 19 common core indicators applicable across hazards. Twenty-five documented cases from the Global South provide evidence of physical conditions not captured in the reviewed studies, yielding 61 hazard-specific indicators and 80 indicators in total. The derived set converges with established frameworks where administrative and spatial data already exist and diverges systematically elsewhere. The divergent indicators share one property: none can be populated from records municipalities already hold. Failures in the documented cases concerned implementation rather than a lack of knowledge, and in nineteen of the twenty-five events the mechanism connecting hazard to harm ran through informality, chiefly unpermitted construction and unrecognized informal settlements.

Urban ScienceVol. 10(11)
Northumbria University (GB)
Disaster Management and Resilience
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.

Laika access coming soon