Understanding shopping visitors’ behavior and preferences is important for tourism and retail business. This paper introduces geo-tagged photos on a social media platform as an additional data resource to study spatiotemporal behavior and preferences of visitors at shopping locations. We propose a novel framework that uses geo-tagged photos within an urban region for identifying shopping locations and then discovering spatiotemporal behavior and preferences of visitors at the identified shopping spots. We present a case study of Los Angeles City, California, USA. The analysis results give insights into spatiotemporal behavior and preferences of shopping visitors in different groups of shopping locations such as shopping mall, plaza, market and so on. The results also reveal the preferences of shopping visitors in groups of shopping locations classified by selling products. In addition, the preferences between domestic and international shopping visitors are also uncovered. The proposed approach and findings of the case study are beneficial to tourism managers and the managers of shopping places, especially those in Los Angeles, in understanding spatiotemporal behavior and preferences of shopping visitors. This can help to improve the activities of promoting and attracting tourists to visit local shopping locations.

了解购物者的行为和喜好对于旅游业和零售业很重要。本文在社交媒体平台上介绍了带有地理标签的照片，作为研究数据的时空行为和购物地点游客偏好的附加数据资源。我们提出了一种新颖的框架，该框架使用市区内带有地理标签的照片来识别购物地点，然后发现所识别的购物地点的时空行为和访客的偏好。我们目前以美国加利福尼亚州洛杉矶市为例。分析结果为洞察时空行为和购物者在不同购物地点组（例如购物中心，广场，市场等）中的偏好提供了见解。结果还揭示了购物者在按销售产品分类的购物地点组中的偏好。此外，还发现了国内外购物游客之间的偏好。所提出的方法和案例研究的结果，对于了解购物者的时空行为和偏好，有利于旅游业管理者和购物场所的管理者，尤其是洛杉矶的购物者。这可以帮助改善促进和吸引游客访问当地购物场所的活动。尤其是洛杉矶的人们，他们了解时空行为和购物游客的偏好。这可以帮助改善促进和吸引游客访问当地购物场所的活动。尤其是洛杉矶的人们，他们了解时空行为和购物游客的偏好。这可以帮助改善促进和吸引游客访问当地购物场所的活动。