顾及道路网约束的商业设施空间点模式分析

基于社交网络点评数据, 考虑到城市的路网结构特征, 采用道路网约束下的核密度估计方法研究城市商业设施的空间分布模式。同时, 结合商业设施的顾客光临次数和评分对核密度估计进行加权, 发现了城市商业设施顾客光临和顾客满意度在空间上的差异性, 即在部分路段商业设施的分布、顾客光临分布以及顾客满意度分布不匹配。为了分析这种空间差异性, 针对城市的路网结构特征以及社交网络点评数据特征, 提出了道路网约束下的G统计量作为指标的空间自相关分析方法, 通过量化分析发现了高值聚集和低值聚集的路段, 反映了顾客光临和顾客满意度在空间上的分布模式, 揭示了顾客满意度高或低的商业设施在空间上的聚集分布。这些分析结果为城市规划、商业设施布局、选址问题等提供了定量化的参考依据。

Network-Constrained Spatial Point Pattern Analysis for Commercial Facilities

Based on social network reviews data and considering the structural features of the road network, we apply network kernel density estimation to study the spatial distribution pattern of commercial facilities.Meanwhile, the number and satisfaction of customers corresponding to the commercial facilities are used as a weighted index for network kernel density estimation, which reveals the spatial difference in consumer satisfaction of the commercial facilities.In some road sections, the spatial distribution of commercial facilities does not match the spatial distribution of the number and satisfaction of customers.In order to further analyze the spatial difference in consumer satisfaction of the commercial facilities, aimed at the structural features of the road network and the characteristics of the social network reviews data, this paper proposes network-constrained Getis-Ord G_i for quantitative analysis, The high-high road segment and low-low road segment are revealed, which reflects the spatial distribution patterns of the number and satisfaction of customers, and demonstrates the aggregated distribution of the satisfied or unsatisfied commercial facilities.These results will provide a quantitative reference for urban planning, commercial facilities layout, and location problem.