...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Procedia Computer Science >Temporal and Spatial Variation Characteristics of Catering Facilities Based on POI Data: A Case Study within 5th Ring Road in Beijing
【24h】

Temporal and Spatial Variation Characteristics of Catering Facilities Based on POI Data: A Case Study within 5th Ring Road in Beijing

机译：基于POI数据的餐饮设施时空变化特征-以北京市五环内为例。

获取原文
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Based on the DBSCAN analysis, kernel density analysis and word cloud analysis, this paper analyzed the composition types and spatio-temporal evolution characteristics of catering points and catering clusters form macro, meso and micro dimensions within 5th ring road in Beijing with the caterings POI data in 2012, 2014 and 2016. The conclusions are as follows: first: (1) The number of total catering POI increased by about 6 times, and the center of the whole data shows a tendency to move from west to southeast. There is little change of quantity of total catering clusters. The distribution is relatively uniform. The scale of single catering cluster grows significantly, and the large-scale clusters have contiguous trends and the number of clusters in Chaoyang has been the largest, in Dongcheng and Xicheng varies at least. (2) The large-scale catering clusters are mainly distributed in the CBD, Sanlitun, Nanluoguxiang, Wangfujing, Zhongguangcun, and the scale of some clusters fluctuates. As the proportion of composition of main clusters, the Chinese food and casual dining continues to increase, while the western food decreased, there are similar trends in the type of catering. (3) The diversity of catering brands has increased year by year, among them, the proportion of small dining sites such as Shaxian snacks has increased obviously, and the proportion of fast food such as KFC has declined slightly but still considerable, and the time-honored brand such as Quanjude accounted for a downward trend. Second, the results obtained by POI data of time series are more objective and accurate. It is a meaningful attempt of data mining and analysis in the era of big data.
机译：基于DBSCAN分析，核密度分析和词云分析，利用餐饮POI数据，分析了北京五环内餐饮点的组成类型和时空演化特征，包括宏观，中观和微观维度。结论分别为：2012年，2014年和2016年：第一：（1）餐饮POI总数增加了约6倍，整体数据中心呈从西向东南移动的趋势。餐饮集群总数的变化很小。分布比较均匀。单一餐饮集群规模增长明显，规模集群具有连续趋势，朝阳集群数量最大，东城和西城差异最小。 （2）大型餐饮业集群主要分布在中央商务区，三里屯，南锣鼓巷，王府井，中广村，部分集群规模波动。随着主要集群构成比重的增加，中餐和休闲餐饮继续增加，而西餐减少，餐饮类型也有类似趋势。 （3）餐饮品牌的多样性逐年增加，其中，沙县小吃等小餐饮场所的比例明显增加，肯德基等快餐店的比例虽有所下降，但仍相当可观。全聚德等老牌品牌占了下降趋势。其次，通过时间序列的POI数据获得的结果更加客观，准确。这是大数据时代数据挖掘和分析的有意义尝试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号