The optimization and upgrading of market building in cities directly impact the shopping experience and decision-making process of surrounding residents.Furthermore,exploring shopping behavior patterns within wet markets can provide a basis for their renovation.By utilizing UWB indoor positioning technology to obtain behavioral sample data within wet markets,and then visualizing and analyzing this data,the experimental results demonstrate that high-precision indoor positioning data can accurately depict behavioral patterns and spatial preferences within large spaces such as wet markets.This has significant implications for promoting the exploration of shopping behavior patterns and the optimal design of wet markets.
indoor positioningspace and behaviorwet marketUWBshopping behavior patterns
万方数据
维普
