加色法同位规则挖掘支持下的兰州市居民区生活便利度分析

居民区生活便利度分析是城市研究的热点问题之一，对提升城市居民生活质量具有重要意义。城市空间中的居民活动主要发生在道路网络空间，加色法同位规则是一种网络空间同位模式可视化挖掘方法，避免了复杂的数学公式、算法及相关参数，具有形象直观的特点。鉴于此，本文利用加色法同位规则这一可视化数据挖掘手段，在表达空间交互的同时将数据挖掘的结果直接用于居民区生活便利度分析。以兰州市为例，进行居民区与其他14类城市基础设施之间位置关系的挖掘试验，全局分析与局部分析相结合，对不同区域的居民区生活便利度进行评价，以期为兰州市城市建设提供参考。结果表明：在兰州市，居民区与药店、超市、牛肉面馆等地理要素存在最强同位规则，与医院、火锅店存在较强同位规则，与商场、派出所、消防站无同位规则；居民区在整体上呈现多个宜居中心的分布特点，在区位上呈现便利度东高西低的分布特征。

Life convenience analysis of Lanzhou residential area based on the colorimetric co-location rule excavation

Analysis of living convenience in residential areas is a hot urban research issue. People's activity in urban area mainly occurs in road network space. Additive color method based co-location pattern mining is a concise and effective visual data mining method in network space. This paper uses the visual data mining method to analyze residential life convenience. Taking Lanzhou city as an example, the experiment is carried out to mine the spatial co-location pattern between residential area and other 14 city infrastructures' location. On the basis of co-location pattern mining results, the residential life convenience was analyzed and evaluated. The results show that the residential areas in Lanzhou city have the best co-location pattern with pharmacies, supermarkets, Lamian noodle restaurants, have good co-location pattern with hospitals and hotpot restaurants, and have poor co-location pattern with shopping malls, police stations and fire stations. Residential areas present a distribution characteristics of "multiple livable centers" in Lanzhou city,and livable center in eastern area have a higher convenience than western area.