Distribution characteristics and influencing factors of tourist attractions in Tianjin based on POI big data

In the context of China’s regional tourism, studying the spatial distribution of scenic spots can optimize the spatial structure of tourism and improve the utilization rate of tourism resources. In this paper, using ArcGIS 10.2, the spatial distribution of POI in Tianjin scenic spots was studied by using kernel density analysis, nearest–neighbor index, and Gini coefficient, and the influencing factors were analyzed from four aspects: transportation, economy, nature, and history. The results show that POIs of scenic spots in Tianjin show an aggregated distribution, presenting the distribution characteristics of “one core and two auxiliaries”, and forming the distribution pattern of “one core, one belt, and one mountain” around the central city, the Haihe River and the Panshan Mountain. This study investigated the spatial distribution characteristics of POIs in scenic areas of Tianjin from different perspectives, which provides a reference for the further development of tourist attractions in Tianjin.