基于基站定位数据的商圈研究

Business Circle based on Basestation Location Data

手机定位数据已经成为新兴的空间数据之一。利用手机基站定位数据信息进行商圈研究,其基本原理是根据手机信号在真实地理空间上的覆盖情况,将手机历史定位数据进行数据探索分析,然后采用层次聚类算法,对基于基站覆盖范围区域的人流特征进行商圈聚类,即可完整、客观还原手机用户的现实活动轨迹,从而挖掘出人口空间分布与活动联系的特征信息。实验结果得到了不同商圈类别的特征信息,通过比较不同商圈类别的价值,可选择合适的区域进行商家的促销活动。

Mobile location data now become one of the emerging spatial data. The basic principle of mobile phone basestation location data research is to explore and analyze mobile phone historical location data based on the coverage of mobile phone signal in real geographic space. Then, the hierarchical clustering algorithm is used to cluster the characteristics of the human flow based on the coverage area of the basestation. This can fully and objectively restore actual activity track of the mobile user, thus excavating the characteristics of the spatial distribution of population and activities. According to the experimental results, the characteristics of different business circle categories are obtained. By comparing the value of different business circle categories, the appropriate areas may be selected for business promotion.