Analysis On The Parking Behavior Of Self-driving Tourists In Scenic Spots

With the rapid growth of private cars and the rapid development of car rental industry,the scale of self driving travel is also expanding and becoming an important form of tourism.Self driving travel has stimulated consumption and promoted the development of tourism,but at the same time,it has also brought great pressure to traffic organization and management of tourist attractions.Especially during the rush hour,parking problems in scenic spots are becoming more and more prominent.The study of self driving tourists' parking behavior is the basis for parking management in scenic spots,and it also has important significance for the specific planning of scenic spots.But there is a serious lack of research on the parking behavior of self driving tourists in the academic area.Based on this,this paper will start with the parking behavior of self driving tourists in tourist attractions,and discuss the parking management of tourist attractions.The main research contents are as follows:(1)Analysis of traffic characteristics of tourist attractions: On the basis of analyzing the connotation of tourist attractions,the traffic characteristics of tourist attractions are analyzed from the characteristics of self-driving travel,the internal and external traffic environment,the mode of parking space supply,the parking fee rate and the parking process,which lay the foundation for the study on parking behavior of self driving tourists.(2)Analysis of parking behavior characteristics of self driving tourists: Firstly,this paper summarize the influence factors of parking and design scenic spot survey questionnaire,and then conducted field survey and online survey of Dujiangyan scenic spot and Bailuwan wetland park,finally analyzed the survey results.Based on the multivariate Logit model,the parking choice model of self driving tourists in the rush hour is established,and the calibration and test of the parameters are carried out with SPSS software.Finally,the probability of different parking locations of the self driving tourists in the scenic area is obtained.(3)Analysis on the supply and demand management of parking space in scenic spots.The concept of parking space sharing is introduced to explore the mode of parking space supply in tourist peak scenic spots.First,it establishes the prediction method of parking demand in tourist peak period,and then establishes a model of self driving parking space based on berth sharing,that's the parking supply mode of the structure of "the parking space of scenic spot + the inherent social parking space + the three-layer Shared parking space and the parking space in the road".Finally,the realization method of parking space sharing is put forward,in order to solve the problem of shortage of parking space in tourist peak.(4)Taking the Dujiangyan scenic spot as an example,the actual application of the model was carried out,and the parking space control scheme for the Dujiangyan scenic spot of the golden week of the Spring Festival in 2019 was given.