International Journal of Geo-Information Article What Influences Customer Flows in Shopping Malls: Perspective from Indoor Positioning Data Tao Pei 1,2,3,* , Yaxi Liu 1,2 , Hua Shu 1 , Yang Ou 4, Meng Wang 4 and Lianming Xu 4 1 State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, CAS, Beijing 100101, China;
[email protected] (Y.L.);
[email protected] (H.S.) 2 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China 3 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China 4 RTMAP Science and Technology Ltd., Beijing 100191, China;
[email protected] (Y.O.);
[email protected] (M.W.);
[email protected] (L.X.) * Correspondence:
[email protected]; Tel.: +86-10-6488-8960 Received: 17 September 2020; Accepted: 23 October 2020; Published: 26 October 2020 Abstract: 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.