以克里斯泰勒提出的中心地空间结构为研究对象,回顾和总结了中心地理论的主要内容、理论发展和实际应用,并以复杂性科学的理论和方法为基础,根据中心地理论假设,提出基于agent建模的两层次agent模型结构,通过遗传算法再现和验证了克氏单一职能的六边形中心地空间格局。模拟表明,微观自主体的相互作用的确可以突现出六边形宏观空间格局,这为以后突破克氏理论中"均质、静态、封闭"的不足提供了新的研究途径。中心地宏观空间结构的微观机理需要进一步结合经济学演绎模型和ABM的计算实验深入研究。
This Paper basically reviews the development of central place theory and its applications and emphasizes the fact that Christaller's theory was based on over-simplifying assumptions and shortcomings such as homogeneity in space,static and close system and empirical observations as equilibriums.Today,the research tendency of geography has changed from static,equilibrium paradigm to dynamic,evolutionary paradigm,which makes use of sciences of complexity to study and analyze the rules of spatial-temporal evolution.New paradigms such as self-organization,evolution theory and complex adaptive system(CAS) have been recognized for a better understanding of the evolutional process of spatial system and its mechanisms.In fact,the basic force driving the evolution of geographic system is inherently microscopic.Therefore,microscopic simulation insists the way in which locally made decisions and interactions between all kinds of local agents give rise to global patterns is highly appropriate.Instead of making nonlinear systems tractable by modeling complex building blocks with few interactions,we can make them understandable by modeling simple building blocks with many interactions based on the central place theory.To further explore the microcosmic foundation of macroscopic spatial structure,a computational environment is developed for better understanding of central place structure by agent-based modeling.The methodology of agent-based modeling(ABM) is a part of the theory of CAS.In this system,a two-tier agent model is built,namely,resident agent and producer agent at a low level and urban agent at a high level.The simulation reproduces and verifies the hexagonal-structure spatial pattern of Christaller by using a genetic algorithm(Genetic Algorithm,GA) on the basis of central place theory assumptions.The result shows that hexagonal macro-spatial pattern is able to emerge from the interactions among the micro agents,which pave the way for the future breakthroughs in homogeneous,static,close hypothesis of Chr