Urban land growth in eastern China: a general analytical framework based on the role of urban micro-agents' adaptive behavior

As one of the world regions with the most rapid economic growth and urbanization, eastern China faces many challenges during its urbanization process. The growth is characterized by the broad-scale loss of agricultural land, and by complex and unplanned urban growth, both of which threaten the future sustainability of the regional economy. The goal of this research is to investigate the changes within the driving forces behind the urban growth and to explore an analytical framework that explains the process. In particular, we discuss the role of the behavior of individuals in driving urban growth from a micro-perspective and formalize a framework for understanding and modeling the mechanisms of urban growth in eastern China. We start with an analysis of the changes in the macro-environment and how they have affected the autonomy of individuals, followed by an examination of the role of adaptive behavior in driving urban growth. We then propose a general analytical framework composed of an agent system, an environment system, and a policy and planning system. We present a layout for these subsystems and discuss the interactions within and among the subsystems. Furthermore, we summarize the common elements of urban micro-agents' adaptive behavior into three stages: agent learning, agent decision-making, and agent action. We enrich the urban micro-agents' learning process by importing learning from past self-experience and from shared experiences. The results may be helpful in the further modeling of urban micro-agents' adaptive behavior for simulating urban growth in support of scientific urban planning.