Indoor Mobility Interaction Model: Insights into the Customer Flow in Shopping Malls
文献类型：期刊论文
| 作者 | Liu, Yaxi1,2; Pei, Tao1,2,3 ; Song, Ci2; Shu, Hua1,2; Guo, Sihui1,2; Wang, Xi1,2
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| 刊名 | IEEE ACCESS
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| 出版日期 | 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. |
| WOS关键词 | BLUETOOTH TRACKING ; GRAVITY MODEL ; MIGRATION ; SEQUENCES ; PATTERNS ; AFRICA |
| 资助项目 | National Science Fund for Distinguished Young Scholars of China[41525004] ; Science Fund for Creative Research Groups[41421001] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000498717600001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Science Fund for Distinguished Young Scholars of China ; Science Fund for Creative Research Groups |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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