Coastal Resort Development: Optimization of Resources for Environmental Sustainability
Olumide Olusola Metilelu
Department of Tourism and Hospitality Management, Lagos State University of Science and Technology, Ikorodu, Lagos, Nigeria.
Ifeoma Deborah Omoko
Department of Mathematics, Anchor University, Ayobo, Lagos, Nigeria.
Matthew Iwada Ekum
*
Department of Mathematical Sciences, Lagos State University of Science and Technology, Ikorodu, Lagos, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
Aims: To analyze the dynamic interactions between resource consumption, environmental impact, and sustainability efforts in coastal resort development using a differential equation optimization model.
Study design: The study is a quantitative modelling and simulation-based analysis using a differential equation optimization approach.
Place and Duration of Study: The study is conceptual and model-based; therefore, no specific geographical location or duration is applicable. The simulation model is designed to be adaptable to various coastal resort contexts.
Methodology: A differential equation-based optimization model was developed by applying Pontryagin’s Maximum Principle to simulate the dynamic interactions among key variables such as renewable energy adoption, waste management, and policy interventions. The model was used to evaluate the effects of various resource management strategies on environmental sustainability and economic viability. Simulation data provided predictive insights into resource availability and environmental stress under different management scenarios.
Results: Simulation results showed that strategic interventions such as increased adoption of renewable energy, effective waste reduction practices, and policy-driven initiatives significantly enhance environmental sustainability while preserving economic stability. The model effectively captured real-time changes, offering predictive insights into the outcomes of different sustainability strategies.
Conclusion: The study presents a robust quantitative framework for optimizing resource use and minimizing environmental impact in coastal resort development. The model supports proactive, data-driven decision-making and highlights the importance of simulation tools in aligning tourism growth with ecological preservation. These findings serve as a practical guide for policymakers, developers, and conservationists aiming to design resilient and sustainable coastal resorts.
Keywords: Coastal resort development, environmental sustainability, resource optimization, simulation modelling, sustainable tourism