| As an emerging mainstream tourism, self-drive tourism has its unique tourism space travel mode. The accessibility of regional traffic network has been directly affected by the travel space characteristics of self-drive tourism and the spatial network pattern which formed by the self-drive tourism. The development of self-drive tourism required greater accessibility, connectivity and coupled coordination degree of regional traffic network. In order to relieve the contradiction between supply and demand of tourism transportation flow caused by self-drive tourism, to enhance the regional transportation network accessibility and to improve the coupling degree between the self-drive tourism spatial pattern and regional traffic network, the recognition of the self-drive tourism spatial pattern, the analysis of accessibility of regional traffic, and the study of spatial coupling mechanism of self-driving tourism has important theoretical and practical significance.There have been a series of studies about the travel behavior and the space schema evolution of self-travel tourism. But there are little concerned about the spatial behavior characteristics of the self-drive tourism and its effect on coupled coordination mechanism of regional tourism transportation network. Thus based on the analysis of self-drive tourism travel decision, this paper considers the temporal and spatial characteristics of self-drive tourism, has carried out the main following research around the spatial pattern recognition of self-drive tourism and the coupling mechanism problem between self-drive tourism and regional traffic network.(1) Build the decision-making process system of the self-drive tourism, acquire the basic characteristics of self-drive tourism travel decision from the basic attributes, travel purpose, information search, preference of self-drive tourists, etc. The binary Logistic decision model is constructed to identify the effect of different factors on the self-drive tourism travel decision. The research showed that:from the perspective of personal property, the age and monthly income of tourists has a great influence on the decision of self-drive tourism travel; from the perspective of travel property, the timeliness, comprehensiveness of road traffic congestion and information release are the main traffic factors which considered by self-drive tourists; from the perspective of self-drive tourism destination property, self-drive tourist focus on information search convenience and information release of tourism destination. Based on the influence analysis of self-drive tourism decision-making, it has great significance for improving the self-drive travel service level to improve the road traffic congestion, and to enhance convenience of information search released by the tourism destination.(2) Based on the temporal and spatial distribution characteristics of self-drive tourism, the spatial and temporal distribution curve has been draught. The spatial decision model is constructed rely on prospect theory. Then, the self-drive tourism of Yunnan province is taken as an example, the spatial travelling behavior is gained under different time budget. The results showed that:With the increase of time budget, the prospect value of self-drive tourists is also increased. The Stone Forest, Fuxian Lake, Dinosaur of Lu Feng and Nine Valley gained the most earnings under the time budget for 2 days. The most earnings of tourism attractions are Luxi, Jianshui, Luoping and Dali under the condition of time budget for 3 days. And under the condition of time budget for 7 days, the ancient city of Lijiang, ancient town of Luguhu, Shangri-1α and Xi ShuangBanna owned the most earnings. Reasonable travel prevention and information release measures for self-driving tourism scenic spot according to different time budget, are important measures to ease the impact of regional traffic network caused by the self-driving tourist flow(3) The basic spatial patterns of self-drive tourism are found from four views of lineartourtype, straight-round, structure around the type, basic point of radiation type. The self-drive tourism nodes in Yunnan are taken as an example. Based on the social network analysis method, the spatial patterns of self-drive tourism which include node density, centrality and core edge structure are identified. The results showed that:Self-drive tourism network density in Yunnan is low, and the connection between the tourism node is loose. The highest centrality degree is in Kunming, and the centrality index of Dali, Lijiang, and other tourist node is relatively low. Yunnan self driving tour has formed the core-half edge-edge network structure, and 19 tourism node cliques are constituted. The rapid development of self-drive tourism is seriously hindered under the imperfect tourist traffic network and the unreasonable convergence tourist traffic network nodes.(4) Based on the analysis of regional development level of self-drive tourism, the regional transportation accessibility of Yunnan is considered. The coupled coordination model is built between regional transportation accessibility and the development of self-travel tourism, and the coupling coordinating relations are gained. On the basis of problems during the development of self-drive tourism in Yunnan province, the specific measures of regional transportation network optimization are proposed. The results showed that:based on the measure of regional traffic-time accessibility in Yunnan, it has formed a decreasing trend from the center to the edge. Yuxi has the shortest time accessibility which is 5.5 hours, and the longest time accessibility is Diqing for 10.26 hours. Based on the judgment of space coupling coordination degree between regional tourism transportation network accessibility and self-drive tourism, the coupling coordination in Yunnan province is the overall low level, and the regional transportation network still can not meet the requirements of the self-drive tourism development. |
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