川西南山区聚落宜居性的空间差异分析

结合山区实际情况，建立山区聚落宜居性评价指标体系。利用山区聚落宜居性评价模型对川西南山区26个区县进行系统评价，计算出川西南山区聚落宜居性指数。在此基础上通过ESDA分析和相关性分析，研究川西南山区聚落宜居性的空间差异，结果表明:（1）川西南山区聚落宜居性存在正的相关性，表现出很强的空间集聚特征；（2）在空间格局上，川西南山区聚落宜居性呈现东南-西北两极分化格局，并且以西昌、攀枝花、石棉为3个核心呈核心-边缘梯级结构模式特点；（3）H H空间关联模式集中连片分布在安宁河谷一带，L L空间关联模式集中连片分布于大小凉山一带，西昌、石棉呈现H L空间关联模式;（4）川西南山区聚落宜居性与自然环境宜居度、经济宜居度、社会宜居度均具有极显著的相关性

ANALYSIS OF THE SPATIAL DISPARITIES OF MOUNTAIN SETTLEMENT LIVABILITY IN SOUTHWEST SICHUAN

For the mountain livability evaluation, the characteristics of vulnerability, risk and transportation difficulties need to be considered in the mountain areas. We combine the actual situation of mountain areas, and take into account three dimensions such as residence suitability degree of natural environment, residence suitability degree of economic and social to establish the mountain settlement livability evaluation system and evaluation model. Mountain settlement livability evaluation system is composed of target layers, criteria layers and indicator layers. The target layers include natural environment livable degree, economic livable degree and social livable degree. Natural environment livable degree includes four criteria layers, such as topography, water resources, ecological resources, land resources. Economic livable degree includes the criteria layer, such as economic development. Social livable degree includes four criteria layers, such as living convenience, medical and education, housing conditions, and space allocation. Twenty six mountainous counties in southwest Sichuan are systematically evaluated by mountain settlement livability evaluation model. The livable indices of twenty six counties in southwest Sichuan are calculated through range method. Based on ESDA analysis and correlation analysis in SPSS, spatial disparities of mountain settlement livability in southwest Sichuan are analyzed. The results indicate as follows. (1) The mountain settlement livability of southwest Sichuan has a positive correlation, showing a strong spatial clustering characteristics. The counties with high livability trend to be adjacent and the counties with low livability tend to be adjacent. (2) The mountain settlement livability is unbalanced distribution in twenty six counties of southwestern Sichuan, among which the settlement livability of Renhe District is the highest with the value of 0.92, and the settlement livability of Zhaojue County is the lowest with the value of 0.29. From the perspective of spatial pattern, the mountain settlement livability of southwest Sichuan showes southeast northwest polarization pattern. Xichang City, Panzhihua City, Shimian County as the three cores, present the “core edge” cascade structure model characteristics in the mountain settlement livability of southwest Sichuan. (3) The counties with H H spatial correlation model constitute the high value area of mountain settlement livability in southwest Sichuan and mainly contiguously distribute along the Anning valley area, accounting for 42.31% of the study area. The counties with L L spatial correlation model constitute the low value area of mountain settlement livability in southwest Sichuan and mainly contiguously distribute along the Liangshan area, accounting for 50% of the study area. In these areas, natural conditions are poor and the economic development level is low. The H L spatial association mode distribute at the Xichang and Shimian. The speed of economic development in the counties with H L spatial correlation model is faster than that in the surrounding counties. Xichang is located on the island with backward economic development, near to the Panzhihua with high livable degree. So it is necessary to enhance inter regional cooperation between Xichang and Panzhihua, and strengthen the radiating and driving role of Panzhihua economy district, and gradually realize the coordinative development of the different economy development. (4) There is significant high correlation between mountain settlement livability and natural environment livable degree, economic livable degree, social livable degree in southwest Sichuan.〖JP〗〖HJ1〗〖HJ