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Abstract

Summary

In the quest for sustainable development in dynamic coastal environments, there is a growing emphasis on harmonizing energy conservation, environmental safeguards, and cultural considerations. This study introduces a data-driven algorithmic framework designed to guide the construction of sustainable and culturally congruent single-family homes in these regions. Merging advanced computational methods like AI and ML with traditional civil engineering, this multifaceted framework encompasses ecological, energy, and sociocultural aspects. A unique mathematical model, which combines deterministic precision with probabilistic foresight, serves as the foundation. Key mathematical formulas encapsulate objectives like budget, environmental sustainability, cultural harmony, and energy balance. Once construction concludes, continuous monitoring, rooted in both deterministic and probabilistic methods, ensures the structure’s enduring health, sustainability, and cultural fit. Modern tools, including IoT devices and AI systems, play a crucial role in real-time data collection and analysis, facilitating prompt interventions when discrepancies arise. Upon application, this framework streamlined decision-making by holistically considering financial, environmental, and cultural factors. Ultimately, this research underscores the potential of a data-informed, technologically advanced approach in constructing coastal homes that are not only sustainable and culturally resonant today but also adaptable and resilient for the challenges of tomorrow.

EAGE Publications BV © 2023 The Authors © European Association of Geoscientists and Engineers
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/content/papers/10.3997/2214-4609.2023520044
2023-11-07
2025-03-17

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/content/papers/10.3997/2214-4609.2023520044
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Data-Driven Algorithmic Framework for Sustainable and Culturally Harmonious Coastal Home Construction and Monitoring
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.2023520044
/content/papers/10.3997/2214-4609.2023520044
/content/papers/10.3997/2214-4609.2023520044
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