Indoor Mobility Interaction Model: Insights into the Customer Flow in Shopping Malls

doi:10.1109/ACCESS.2019.2942428

	Indoor Mobility Interaction Model: Insights into the Customer Flow in Shopping Malls
	Liu, Yaxi 1,2; Pei, Tao 1,2,3; Song, Ci 2; Shu, Hua 1,2; Guo, Sihui 1,2; Wang, Xi 1,2
刊名	IEEE ACCESS
	2019
卷号	7 页码:138353-138363
关键词	Indoor mobility interaction gravity model customer flow distance decay effect human-land relationship
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2942428
通讯作者	Pei, Tao(peit@lreis.ac.cn)
英文摘要	Interaction in large-scale outdoor space has been extensively studied due to its importance in understanding the human-land relationship. Models such as the gravity have been proven to be able to quantify the interaction between two places. However, interaction in indoor space still remains unclear even though humans spend over 70% of their time indoors. Few studies attempt to construct an indoor interaction model. In this study, we analyze the interaction between stores in shopping malls via customer flow to determine whether indoor mobility interaction follows the gravity law and what are its influencing factors. Based on indoor positioning data, two customer flow measures (connectivity flow, indicating the direct connection between stores, and association flow, indicating the association relationship between stores) and two distance measures (path distance, indicating the minimum travel cost, and store distance, indicating the mean travel cost) are defined to fit the traditional and extended gravity models (considering store floor and type). We find that 1) interaction between stores follows a power law distribution, indicating that only a small fraction of store pairs is closely related; 2) customer mobility is governed by the gravity law, where the distance decay exponent is 1-2 for the connectivity flow and 0-1 for the association flow; and 3) store floor and type are two important factors that affect the interaction between stores. These findings provide insights for modeling indoor interactions and can support indoor settings to optimize their layout, estimate the customer flow and promote sales.
资助项目	National Science Fund for Distinguished Young Scholars of China[41525004] ; Science Fund for Creative Research Groups[41421001]
WOS关键词	BLUETOOTH TRACKING ; GRAVITY MODEL ; MIGRATION ; SEQUENCES ; PATTERNS ; AFRICA
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000498717600001
资助机构	National Science Fund 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/311030/130410]
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.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Liu, Yaxi,Pei, Tao,Song, Ci,et al. Indoor Mobility Interaction Model: Insights into the Customer Flow in Shopping Malls[J]. IEEE ACCESS,2019,7:138353-138363.
APA	Liu, Yaxi,Pei, Tao,Song, Ci,Shu, Hua,Guo, Sihui,&Wang, Xi.(2019).Indoor Mobility Interaction Model: Insights into the Customer Flow in Shopping Malls.IEEE ACCESS,7,138353-138363.
MLA	Liu, Yaxi,et al."Indoor Mobility Interaction Model: Insights into the Customer Flow in Shopping Malls".IEEE ACCESS 7(2019):138353-138363.