Land Use Decision-Making Strategy in Bandung: An Agent-Based Modeling Approach

• Published in: Agent-Based Approaches in Economics and Social Complex Systems IX Vol. 15; pp. 83 - 96
• Main Authors: Nurdayat, Ilham Fadhil, Siallagan, Manahan
• Format: Book Chapter
• Language: English
• Published: Singapore Springer Singapore Pte. Limited 2017; Springer Singapore
• Series: Agent-Based Social Systems
• Subjects: Agent-based modeling; Decision-making strategy; Economic systems; Knowledge management; Land use change and cover; Research & development management
• ISBN: 9811036616; 9789811036613
• ISSN: 1861-0803
• DOI: 10.1007/978-981-10-3662-0_7

Land system science as a complex system has been explored by using various approaches such as remote sensing, economics, ecology, and geography. Agent-based modeling (ABM), as a third way of doing science, enables researchers to explore the complex system deeper on land science. Interdisciplinary approach has brought land use science into agent-based modeling. Bottom-up view and inclusion of agent as real-life representation brought a powerful method to analyze land use change and cover (LUCC) and explore coupling between human and natural system. Land use decision-making is a function of interaction between internal models of the land manager with its environment. This study incorporates two variables, commercial and farm expectation, as a representation between productivity farmland and other commercial objectives of the land. Agents have the ability to alter land use based on rational and irrational decision-making process. The objective of this paper is to capture the behavior of the agent and observe land use change that resulted from agent decision-making.