长江中游城市群综合发展水平时空分异研究

区域可持续发展理念已被社会各界所接收，并逐步深入到社会发展计划及区域政策制定中。以区域差异分析为基础的区域格局优化是促进区域发展的核心内容。从经济发展、资源利用、环境保护、人口与公共服务和科技创新等5个方面选取23个指标，构建其监测评估指标体系综合分析长江中游城市群综合发展水平时空格局演变，有助于认清长江中游城市群综合发展格局形成的过程，出现的问题及产生的原因，从而制定相应的区域调控政策，这对于促进长江中游城市群内部区域之间协调发展及推进中部崛起战略具有重要的现实意义。基于2005年和2011年长江中游城市群37个地级市的统计数据，借助SPSS、GIS软件，采用全局主成分分析法评价分析其综合发展水平及时空分异，并对其成因进行分析。结果表明：区域综合发展分值有所提升，但增长潜力仍然很大；发展水平差异显著，且两极分化趋势明显；整体呈现出以武汉和长沙为中心，以南昌、合肥为副中心发展格局，但中心城市带动作用较弱，制约各城市群发展的因素各异。因此，未来长江中游城市群应努力提升区域经济发展总量的同时，转变经济产业结构，加强企业创新能力，寻求新的经济增长点。与此同时，应加大基础设施尤其是道路交通的投资强度；充分利用已有的地理区位及资源、科技人才优势发展第二、三产业，提高经济发展中资源的利用效率，降低能耗，保护环境；除此之外，还应加强区域宏观调控，注重城乡统筹发展，协调、平衡区域内部均衡发展，缩小区域之间及内部差异，促进技术转移和优势互补

OPTIMIZATION OF INTERREGIONAL BUILT UP LAND ALLOCATION BASED ON DIFFERENCES OF LAND USE EFFICIENCY－A CASE STUDY OF WUHAN METROPOLITAN

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