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武汉市体育场馆空间分布分析与研究
引用本文:徐屏,韩青,衡佳彬.武汉市体育场馆空间分布分析与研究[J].测绘信息与工程,2014(1):36-39,42.
作者姓名:徐屏  韩青  衡佳彬
作者单位:武汉体育学院;武汉大学遥感信息工程学院;
基金项目:湖北省自然基金重点资助项目(2011DCA061)
摘    要:以武汉市为研究区域,运用密度分析和空间自相关探索武汉市体育场馆空间分布的聚集性;利用空间二元相关性定量地分析体育场馆空间分布与经济要素、社会要素以及道路网的相关性。结果表明,武汉市体育场馆在中心城区呈聚集并向外围扩散;人口密度、生产总值以及道路网密度都在不同程度上影响着体育场馆的空间布局。武汉市体育场馆的空间分布受经济和交通情况的影响比较大。通过多元回归模型,预测随着武汉城市中心及以外地区经济的发展、道路的完善以及政府的大力支持,乡村郊区的体育场馆数量将不断增多,武汉市体育馆将向着中心城区密集一乡村郊区普及的分布模式转变。

关 键 词:空间自相关  多元回归模型  道路网  中心城区聚集中图法

Study and Spatial Analysis of Sport Facilities in Wuhan City
XU Ping,HAN Qing,HENG Jiabin.Study and Spatial Analysis of Sport Facilities in Wuhan City[J].Journal of Geomatics,2014(1):36-39,42.
Authors:XU Ping  HAN Qing  HENG Jiabin
Institution:1 Wuhan Sports University, 461 Luoyu Road, Wuhan 430070, China ; 2 School of Remot Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China )
Abstract:In this paper, we took the Wuhan region as an exam- pie, using density analysis and spatial auto-correlation to display the spatial distribution of sport facilities. Considering road networks, we used spatial binary correlation and multivariate regression model to study how the spatial distribution relates to economical factors social factors and road networks quantitative- ly. The study shows that sport facilities concentrate in central urban areas like Wuchang District, ~ianghan District, ttongshan District. Furthermore, distribution of sport facilities is influ- enced by density of population, roads and GDP in different de- gree. And GDP is the most important factor for building sport fa- cilities. The correlation between them reached 70.8%. GDP pro- vides economic foundation for sport facilities building and maintenance. Population density also has significant correlation with sport facilities. Because sport building is originally determined by demands, there is little demand in the area with low population density. As influencing factor of economic development and population flow, transportation influences sport facilities distribution indireetly. Sport facilities are aggregated near the road with high population flow. Through the analysis above, we concluded the driving mechanism of sport facilities aggregation. Demands are the souree power of building sport facilities, eco- nomic and transportation, which determines the supply condi- tion. We can forecast that with development of non-central area and improvement of roads, rural area will have enough provision and demands. The amount of sport facilities will increase rapidly. The whole sport facilities distribution of Wuhan will become the combination of intensive central city area and popular country.
Keywords:auto-correlation  multivariate regression model  road nets  intensive central city area
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