大众点评网提供的商业设施及其满意度评价数据为城市商业设施的时空分布与发展规律研究提供了一个重要的信息源,它们来源于分布在道路两侧的商业设施。根据此特征,本文设计了一种基于道路网约束的反映商业服务设施与交通网络关系的密度计算方法,对点评数据中蕴含的设施空间分布、设施数量与其满意度之间关系进行了分析。它将商业设施在空间上的二维分布映射至一维的道路网上,更真实地反映了商业服务设施与所处交通环境的影响,揭示了商业服务设施位置、数量及其满意度之间的关系,为城市规划的定量化研究提供了数值依据。
This paper reveals and utilizes the growing power of online customer reviews in the space and time context. The location of commercial facilities and online customer reviews offered by Dianping.com provide an important data source for the study of spatial and temporal dynamics of urban commercial facilities. The constraints of road network are taken into account towards computing the density of urban commercial facilities and associated online customer reviews, as well as their spatial distribution, temporal trend, and the coupling relationship between facility number and stratification level. This paper maps the spatial distribution of commercial facilities onto the nearby road network, reflecting the influences of the locations, number and satisfaction levels of other commercial facilities across various street types. Because more and more customers tend to make a final shopping decision by sorting through search results by ratings and feedback, the research conducted in this paper can provide the proof for quantitative evaluation of urban planning on commercial facility development.
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