Big geo-data unveils influencing factors on customer flow dynamics within urban commercial districts
作者：Xia Peng, Yue-yan Niu, Bin Meng, Yingchun Tao, Zhou Huang · 发表于：International Journal of Applied Earth Observation and Geoinformation · 年份：2024 · DOI：10.1016/j.jag.2024.104231
• Scale, diversity, access, location, and community significantly impact commercial district customer flow. • Large-scale, centrally located commercial districts with ample parking and unique features attract more customers. • High-traffic commercial districts’ 15-minute living circle communities have more employees, fewer residents. Commercial districts, as the epicenters of urban commerce and economic activity, largely reflect an area’s prosperity through their customer flow. However, previous research, which often relied on statistical and survey data, has typically not captured the full scope of customer flow dynamics throughout urban commercial districts and has not adequately measured the specific impacts of business district locations and their surrounding communities on customer flow. To bridge these gaps, this study utilizes multidimensional big geo-data resources, including mobile phone signaling data, Points of Interest (POI) data, and transportation network data, to uncover the underlying factors that influence customer flow within urban commercial districts. The findings suggest that several factors—the size of the commercial district, the diversity of business formats, the convenience of parking, the working and residential population in surrounding communities, and the proximity to urban centers—significantly influence the customer flow. Consumers show a preference for larger-scale, centrally-located commercial districts that offer convenient parking options, w...