Municipal resilience bonds for earthquake risk reduction: a financing model for Istanbul’s infrastructure

Earthquakes lead to significant economic and social risks. As one of the world’s most densely populated cities, Istanbul faces both high earthquake risk and ageing infrastructure, while municipal budgets and conventional (re)insurance continue to prioritise post-disaster recovery over preparedness. This study proposes the innovative application of a Municipal Resilience Bond (MRB) to finance pre-disaster preparedness and evaluates its potential value for Istanbul, Turkey. The study integrates three objectives: (i) a compound Poisson loss process for earthquake frequency and severity calibrated to Turkish Catastrophe Insurance Pool records (1141 events, 2000–2024) and indemnity data; (ii) a Vasicek interest rate model to simulate the dynamic interest rate; and (iii) a payoff structure that links resilience bond triggers to magnitude bands with an effectiveness parameter (ξ). The framework quantifies how an upfront “rebate” generated by modelled risk reductions can be recycled into priority retrofits and lifeline infrastructure, thereby aligning the incentives of municipality, (re)insurer, and investor incentives while expanding Istanbul’s capacity for pre-disaster mitigation. This approach can be generalised to other catastrophic events and cities, offering a data-driven bridge between catastrophe risks and resilience finance to accelerate adaptation while maintaining capital market discipline.

Authors

Institutions

Publication Details

Journal
Academia Engineering
Published
2025-10-15
DOI
https://doi.org/10.20935/acadeng7947
Citations
3
Primary Topic
State Capitalism and Financial Governance
Type
article
Field-Weighted Citation Impact
6.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Municipal resilience bonds for earthquake risk reduction: a financing model for Istanbul’s infrastructure

Francesca Medda, Yang Song
3 citations
Academia Engineering
State Capitalism and Financial Governance
6.68
article

Municipal resilience bonds for earthquake risk reduction: a financing model for Istanbul’s infrastructure

Francesca Medda, Yang Song
article en
3 citations

Abstract

Earthquakes lead to significant economic and social risks. As one of the world’s most densely populated cities, Istanbul faces both high earthquake risk and ageing infrastructure, while municipal budgets and conventional (re)insurance continue to prioritise post-disaster recovery over preparedness. This study proposes the innovative application of a Municipal Resilience Bond (MRB) to finance pre-disaster preparedness and evaluates its potential value for Istanbul, Turkey. The study integrates three objectives: (i) a compound Poisson loss process for earthquake frequency and severity calibrated to Turkish Catastrophe Insurance Pool records (1141 events, 2000–2024) and indemnity data; (ii) a Vasicek interest rate model to simulate the dynamic interest rate; and (iii) a payoff structure that links resilience bond triggers to magnitude bands with an effectiveness parameter (ξ). The framework quantifies how an upfront “rebate” generated by modelled risk reductions can be recycled into priority retrofits and lifeline infrastructure, thereby aligning the incentives of municipality, (re)insurer, and investor incentives while expanding Istanbul’s capacity for pre-disaster mitigation. This approach can be generalised to other catastrophic events and cities, offering a data-driven bridge between catastrophe risks and resilience finance to accelerate adaptation while maintaining capital market discipline.

Academia EngineeringVol. 2(4)
The London College (GB), University College London (GB)
Openalex Percentile: Top 3%
State Capitalism and Financial Governance
6.68
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.