Temporal And Spatial Characteristics Of Self-driving Tour In Villages Of Henan Province Based On Digital Footprint

With the improvement of China's communication infrastructure,the popularity of mobile Internet,and the increase in per capita national income,more and more people choose to travel as a way to relax.The number of car ownership in China is increasing year by year.The choice of self-driving as a form of travel is very common.Due to the freedom,flexibility and autonomy of self-driving tour,it plays an important role in the form of tourism.The increase in the number of tourists has promoted the development of tourism service platforms.Visitors share their travel experiences on the Internet,that is,as a carrier for recording the tourism process,and also for other people who want to travel to the same attractions,travel notes The existence of more and more people have received the love of everyone.By analyzing travel notes and extracting key information,this is a kind of tourism digital footprint,which provides a new perspective and possibility for analyzing the time and space behavior of tourists.This study takes Henan Province as an empirical object and is based on the travel notes published by the tourists in Henan on Ma Ma and Ctrip.Through the reptile software Octopus climbs the tourist travel text to the tourists to visit the time and spatial statistics of the self-driving tour,and then use the ROSTCM6 software to generate the tag cloud image.The results show that: 1 In the time behavior characteristics of 2008-2018,the number of visitors to the self-driving tour in Henan has been steadily increasing year by year.The itinerary is mainly in the middle and short-distance,and the stay time in Henan is more than 1-2 days.Mostly during the summer,during the National Day and the Spring Festival,performance is affected by the seasons and legal holidays.2 In terms of spatial behavior characteristics,according to the performance of the travel notes,the destinations of the rural self-driving tour in Henan have many landscape elements.The accompanying travel records show that the tourists visiting Henan are mostly the characteristics of parent-child travel with parents and children.The landscape elements are the geological conditions in Henan Province.Features,combined with effective publicity,strengthen cooperation in various scenic spots,optimize the service system for landscape and landscape,and realize the sustainable development of tourism resources in Henan Province.This thesis uses the travel text as the basis of the characteristics of space-time behavior.Through the comparison of vertical time and time,it explores the temporal and spatial changes of tourists visiting the self-driving tour,enriches the results of the time-space behavior of self-driving tourists,and optimizes the self-driving space and related public services in Henan Province.The system provides advice and evidence.