Research on Spatial-Temporal Behavior Characteristics of Tourists Based on Digital Footprints: A Case Study of Guilin, China

Abstract

Taking Guilin as an example, this paper constructs a digital footprint database based on online travel notes, and analyzes the temporal and spatial behavior characteristics of Guilin tourists from the aspects of time, space and network structure by using the methods of season concentration index, tourism preference index, nearest neighbor index and visualization technology. The results show that: (1) there is a certain seasonality in the tourist time, and the stay days are mainly 3-4 days; (2) the spatial distribution of Guilin scenic spots is unbalanced, and the visiting preference is uneven. The popular scenic spots include Li River, Yulong River, West Street, Two Rivers and Four Lakes, and Longji Terrace. Basis on this, this paper discusses the image promotion, path planning and marketing of the scenic spots Finally, the paper puts forward the optimization measures of Guilin tourism development.