Geotagged Social Media Data and Environmental Features of Urban Attractions in Beijing, 2023

First, the Landscape Environment dimension comprises 13 landscape characteristic variables derived from the SinoLC-1 land use dataset. Second, the Built Environment dimension utilizes 2023 AutoNavi Point of Interest (POI) data and OpenStreetMap data to quantify the number of food outlets, shops, and parking facilities, the distance to the nearest subway stations and bus stops, and the road network density within a 500-meter buffer.

Finally, the Social Environment dimension consists of a single variable: crowdedness. This variable represents the visitor volume within each attraction, derived from China Unicom’s mobile signaling records.Weibo Textual Data within Attractions: This dataset encompasses the text content of geotagged Weibo posts within the boundaries of each attraction, providing qualitative insights into visitor experiences and perceptions.Together, these datasets offer a comprehensive foundation for understanding urban touristic dynamics in Beijing, supporting analyses of visitor behavior, attraction popularity, and environmental interactions.