摘要
以大众点评网昆明站的商户点评数据为基础,借助核密度分析法分析昆明市主城区的商业空间集聚特征,运用莫兰指数识别主城区的商业空间热点,并构建线上消费行为选择偏好评价指标体系,从商业空间社会活力、空间活力和经济活力3个方面对商业空间做出评价。研究发现,通过识别出的商业空间中心定位选择偏好等级高的商区可分为4种不同的商业空间类型,其中评价等级取值最高的商业空间类型力街区式商业。
Based on the data in the public comment network of Kunming station on Dianping.com,this paper analyzes the commercial space agglomeration characteristics of the main city of Kunming by means of nuclear density analysis,and uses local Moran's I to identify the commercial space hotspots in the main city and build online consumption behavior.The preference evaluation index system was selected to evaluate the commercial space from three aspects:commercial space social vitality,space vitality and economic vitality.The study found that the commercial areas with high preference levels identified by the identified commercial space centers can be divided into four different types of commercial space,and the type of commercial space with the highest evaluation level is block type business.
出处
《现代城市研究》
CSSCI
2020年第6期48-55,共8页
Modern Urban Research
关键词
线上消费行为
商业空间
热点识别
评价
昆明市主城区
online consumer behavior
commercial space
identification of hotspot
evaluation
the main city of Kunming
