Land use allocation based on multi-goal linear programming model: a case study of Central Luzon State University

Abstract

Allocating and reallocating land resources is critical to a long-term land use planning and is a key component to achieve a balanced land use system. This provides appropriate space for varied land uses while preserving the environment for future generations. It is found to be an excellent measure for development and sustainability of an area. Using multiple goal linear programming as a decision support system, this study highlighted the optimization of land use allocation at Central Luzon State University to meet the needs for sustainable development. All the seven (7) general land use classifications determined in the University: agricultural, institutional, residential, commercial, fisheries (pond/fish tanks), roads and open areas were assessed in crafting the Land Use Development and Infrastructure Plan (LUDIP) for 2021 to 2031. The findings demonstrated that the priority goals set by the CLSU constituents: (1) minimizing disaster risk, (2) maximizing land suitability, (3) maximizing research capability, maximizing social development, and maximizing economic value were achieved with the aid of Gurobi. Agricultural and commercial growth, residential, social, and infrastructure development for all constituents, research development, climate change adaptation, and cultural heritage preservation were all aided by the land use optimization in the LUDIP.