The Spatial and Temporal Characteristics and Development of Rural Self-driving Tour in Henan Province Based on Digital Footprint

This paper takes Henan rural self-driving tour as the research object, based on the content of rural self-driving travel notes published independently by tourists in Horsehoneycomb and Ctrip in recent 5 years (2014—2018), data crawling is carried out by Octopus crawler software, and the time and spatial behavior characteristics of self-driving travel of tourists in Henan are analyzed by content analysis software rostcm6.0. The results show that: (1) In terms of time behavior characteristics, the main form of travel is short-and-medium-distance, and the duration of stay in Henan is about 1～2 days. The peak of self-driving travel in Henan rural areas mainly occurs in spring and autumn. The growth of tourists in summer is relatively stable, the number of self-driving trips in winter is relatively small, and the peak and trough of travel wave are greatly affected by statutory holidays; (2) In terms of spatial behavior characteristics, Beijing is the largest source of tourists outside the province, Zhengzhou is the largest source of tourists in the province, and Luoyang is the preferred destination for self-driving tours in the countryside. There is a great relationship between spatial behavior law and the population base of the tourist destination and the resource level and scale of the tourist destination. According to the content of the travel notes, the article further analyses the problems existing in the development of self-driving tour in Henan rural areas and puts forward corresponding suggestions and measures.