Climate Change: Sustainable Management Model Emergency Shelters for Regions Affected by Heavy Floods ^†

Climate change is having profound effects on populations worldwide, manifesting through environmental degradation, reduced economic productivity, and loss of human life. The primary driver of these impacts is the combustion of carbon-intensive fossil fuels—a process that has accelerated since the onset of industrialization. The continued and increasing use of these fuels, driven by global population growth and rising wealth, has led to significant atmospheric and environmental disruptions.

This research aims to address the multifaceted consequences of climate change by developing innovative models to mitigate its societal impact, particularly in the context of extreme climatic events. Specifically, it proposes a sustainable management framework for housing response initiatives in emergency settings. The model incorporates sustainability principles across all phases—not only in material selection and construction methods but also in governance structures, institutional coordination, and participatory implementation strategies. It leverages both existing and emerging technologies to enhance resilience and sustainability outcomes.

The study adopts a mixed-methods approach, combining qualitative and quantitative techniques to develop a management and profitability analysis model to produce sustainable emergency shelters. The methodology includes a case study, financial analysis, and environmental and social impact assessments, with the goal of producing a replicable and viable proposal for emergency contexts.

Importantly, the proposal aligns with the United Nations Sustainable Development Goals (SDGs) and Environmental, Social, and Governance (ESG) criteria. It offers a comprehensive operational framework that balances technical efficiency, social equity, and environmental stewardship. This alignment ensures the model meets international standards while serving as a strategic planning tool that supports multidimensional decision-making.

Beyond qualitative evaluation, the study presents an economic rationale for the proposed model, demonstrating its financial viability even in collaborative, resource-constrained environments. The findings suggest that the model is not only technically and socially feasible but also economically sustainable when resource efficiency and long-term benefits are rigorously assessed.