What Influences Customer Flows in Shopping Malls: Perspective from Indoor Positioning Data

doi:10.3390/ijgi9110629

	What Influences Customer Flows in Shopping Malls: Perspective from Indoor Positioning Data
	Pei, Tao 2,3,4; Liu, Yaxi 2,3; Shu, Hua 2; Ou, Yang 1; Wang, Meng 1; Xu, Lianming 1
刊名	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
	2020-11-01
卷号	9 期号:11 页码:19
关键词	customer flows shopping malls indoor positioning data Wi-Fi positioning
DOI	10.3390/ijgi9110629
通讯作者	Pei, Tao(peit@lreis.ac.cn)
英文摘要	Offline stores are seriously challenged by online shops. To attract more customers to compete with online shops, the patterns of customer flows and their influence factors are important knowledge. To address this issue, we collected indoor positioning data of 534,641 and 59,160 customers in two shopping malls (i.e., Dayuecheng (DYC) in Beijing and Longhu (LH) in Chongqing, China) for one week, respectively. The temporal patterns of the customer flows show that (1) total customer flows are high on weekends and low midweek and (2) peak hourly flow is related to mealtimes for LH and only on weekdays for DYC. The difference in temporal patterns between the two malls may be attributed to the difference in their locations. The customer flows to stores reveal that the customer flows to clothing, food and general stores are the highest; specifically, in DYC, the order is clothing, food and general, while in LH, it is food, clothing and general. To identify the factors influencing customer flow, we applied linear regression to the inflow density of stores (customers per square meter) of two major classes (clothing and food stores), with 10 locational and social factors as independent variables. The results indicate that flow density is significantly influenced by store location, visibility (except for food stores in DYC) and reputation. Besides, the difference between the two store classes is that clothing stores are influenced by more convenience factors, including distance to an elevator and distance to the floor center (only for LH). Overall, the two shopping malls demonstrate similar customer flow patterns and influencing factors with some obvious differences also attributed to their layout, functions and locations.
资助项目	National Science Found for Distinguished Young Scholars of China[41525004] ; Science Fund for Creative Research Groups[41421001]
WOS关键词	BLUETOOTH TRACKING ; STORE LOYALTY ; ENVIRONMENT ; SATISFACTION ; MOVEMENT ; SHOPPERS ; BEHAVIOR ; IMPACT
WOS研究方向	Physical Geography ; Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000593267500001
资助机构	National Science Found for Distinguished Young Scholars of China ; Science Fund for Creative Research Groups
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/156415]
专题	中国科学院地理科学与资源研究所
通讯作者	Pei, Tao
作者单位	1.RTMAP Sci & Technol Ltd, Beijing 100191, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 101408, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Pei, Tao,Liu, Yaxi,Shu, Hua,et al. What Influences Customer Flows in Shopping Malls: Perspective from Indoor Positioning Data[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(11):19.
APA	Pei, Tao,Liu, Yaxi,Shu, Hua,Ou, Yang,Wang, Meng,&Xu, Lianming.(2020).What Influences Customer Flows in Shopping Malls: Perspective from Indoor Positioning Data.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(11),19.
MLA	Pei, Tao,et al."What Influences Customer Flows in Shopping Malls: Perspective from Indoor Positioning Data".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.11(2020):19.