Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
The global push for sustainable development is driving unprecedented
investment in large-scale infrastructure corridors, such as renewable energy
grids, sustainable transport networks, and resilient water systems. While
critical for a low-carbon future, these projects present a unique and complex
set of financial risks that traditional risk management models, often siloed
and reliant on historical data, are ill-equipped to handle. This paper proposes
and elaborates on a novel, integrative framework that leverages the convergent
power of Geospatial Artificial Intelligence (GeoAI) and Digital Twins to
revolutionize financial risk management for sustainable infrastructure
corridors. We review the limitations of current financial models in capturing
the dynamic, multi-scale, and interconnected risks from climate physical risks
and geopolitical tensions to supply chain disruptions and community opposition
inherent in these long-lived, place-based assets. The core of the paper
delineates the architecture of the proposed framework, detailing how GeoAI
ingests and analyzes vast spatiotemporal data (e.g., satellite imagery, IoT
sensor feeds, social media data) to create a living, data-rich representation
of the corridor. This representation is then operationalized through a
financial Digital Twin, a dynamic simulation model that mirrors the physical
corridor's behavior and its financial performance in near real-time. We explore
specific applications across the project lifecycle, including: enhanced due
diligence and site selection, real-time monitoring of construction progress and
budget adherence, dynamic forecasting of operational revenues under climate
stress, and stress-testing financial resilience against cascading failure
scenarios. The paper concludes by discussing the significant implementation
challenges data governance, model interoperability, and skills gaps and
outlines a future research agenda. This framework promises a paradigm shift
from reactive, static financial assessment to a proactive, predictive, and
spatially-aware approach, thereby de-risking capital, lowering the cost of
financing, and accelerating the deployment of vital sustainable infrastructure.
Country : India
IRJIET, Volume 9, Issue 10, October 2025 pp. 255-264
