Abstract:

Improving the efficiency of builtup land utility is the core objective of interregional optimization of builtup land use allocation. In this paper, taking WuHan Metropolitan area as a research case, we propose an idea for optimizing interregional allocation of builtup land based on differences of land use efficiency. The basic principle of interregional allocation is that the higher efficiency of the utilization is, the higher priority of allocation is considered for the specific builtup land. According to this principle, a model of Partitioned & Asynchronous Cellular Automata was built up and it was also expectedly obtained to fulfill the interregional optimized allocation of builtup land utilization. Firstly, CobbDouglas production function is employed to measure the efficiency of builtup land use in the Wuhan metropolitan area. And then, the asynchronous speeds of the Partitioned & Asynchronous Cellular Automata are decided by the priority of builtup land allocation in every city which are calculated by efficiency of builtup land use in each city. Secondly, according the land use objective of the Wuhan metropolitan area in Master Planning Outline of Wuhan Metropolitan area, global stopping condition of the Partitioned & Asynchronous Cellular Automata is calculated by builtup land demand of the whole metropolitan area, and its regional stopping conditions are worked out by builtup land demand in each city in the Wuhan metropolitan area. Thirdly, transformation rules in each partition are worked out by the historic laws of land use change in the Wuhan metropolitan area and conditions of socialeconomic and natural environment factors in each city. Finally, with parameters such as asynchronous speed, transformation rules of each partition, global stopping condition and regional stopping conditions, the Partitioned & Asynchronous Cellular Automata is employed to allocate the builtup land in the Wuhan metropolitan area. The results show that: (1) Based on the difference in regional land utilization efficiency, the Partitioned & Asynchronous Cellular Automata model can give a different asynchronous speed for each area, which causally and favorably realize the interregional optimized allocation of builtup land. Therefore, the Partitioned & Asynchronous Cellular Automata model is capable to fulfill the task of interregional optimized allocation of builtup in city circle area. (2) The Wuhan metropolitan area has a remarkable regional difference in its builtup land utilization efficiency. Consequently, significant differences of satisfaction degree for each region are observed. In detail, Xiantao, Ezhou and Qianjiang, where the highest efficiency of builtup land completely meet the demands of the builtup land. However, with a lowest utilization efficiency of builtup land, Wuhan and Huanggang have a lower satisfaction degree for their builtup land demanding. Herein, a new method to optimize interregional allocation of builtup land was demonstrated, contributing to a significant work for the optimization of interregional allocation of builtup land. However, in this study, the efficiency of builtup land use is the main factor which is used in interregional builtup land use allocation. This will result in problems such as unequal developing opportunities for each city in the metropolitan area. Both efficiency and fairness should be considered in future research