Resilient Economies Strategies for Sinking Cities and Flood Risks 2025
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Empower stakeholders
and communities
Active participation from communities, businesses,
governments, research institutions, non-profits
and residents is essential. These stakeholders
are not merely beneficiaries but active agents
of positive change. Engagement should move
beyond consultation and empower communities
with knowledge, tools and agency to steward their
built environments.
Miami-Dade County’s Resilience Hub Network,
which provides climate education and emergency
support, exemplifies how direct engagement
promotes behavioural shifts and localized resilience.
Involving residents and local businesses in strategy
development is critical for capturing valuable local
knowledge, raising awareness of subsidence risks,
and ensuring that mitigation and adaptation efforts are
tailored to community needs and economic realities.
The private sector plays a pivotal role in advancing
subsidence resilience. Businesses, particularly those in
high-water-use industries, such as agriculture, mining,
manufacturing and energy and those driving urban
expansion, can co-finance resilience projects, innovate
and design solutions that can reduce pressure on land
and water aquifers. By understanding the feedback
loops between their operations, subsidence rates
and asset vulnerability, the private sector can
proactively manage risks across their value chains.
Effective governance should facilitate these
collaborations and support capacity-building
initiatives that transform resilience from a technical
goal into a shared economic, environmental and
social commitment.Technology, data and research
Technology and data are foundational enablers
of urban resilience to land subsidence. Advanced
monitoring tools, such as InSAR, can provide large-
scale data on land movement and groundwater
levels, supporting accurate risk assessments,
targeted interventions and verification of impact.
Accurate risk projections must also account for
spatial variations in subsidence.146,147
Beyond monitoring, technology, innovation,
continued research (including R&D) and learnings
can drive the evolution of intelligent urban systems.
Machine learning/AI-powered predictive models
can optimize water resource distribution, drainage
management and infrastructure maintenance, while
digital twins can simulate subsidence impacts and
support future-proof urban planning.
Research into resilient building materials and
construction techniques can help enhance
infrastructure longevity in subsidence-vulnerable
areas. Digital platforms can enable rapid scaling of
solutions and knowledge exchange among cities
and stakeholders.
Building networks and ecosystems through
partnerships can accelerate the development and
deployment of proven solutions for land subsidence
and compounding factors.
A collaborative and data-driven approach can help
quantify previously under-recognized risks, impact
levels and costs, guide investments, optimize
resource allocations, enable timely alerts, and
ensure urban planning remains agile and responsive
to growing and emerging risks.
Machine
learning/
AI-powered
predictive models
can optimize
water resource
distribution,
drainage
management and
infrastructure
maintenance.
Resilient Economies: Strategies for Sinking Cities and Flood Risks
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