China's Inbound Tourists Spatial Behavior Of Multi-destination Study

Spatial behavior of tourists is an important part of tourism geography research. domestic and foreign scholars in the spatial behavior of tourists have made a lot of results. Over the years. scholars emphasis on tourism behavior of inbound tourists that visit a single destination, while research on multi-destination tourism behavior of inbound tourists is weak. The main purpose of this research is analyzing the multi-destination spatial behavior of China's inbound tourists and its affecting factors, in order to enrich the theory of spatial behavior of inbound tourists.In full recognition of the development of inbound tourism in the city's status and role, reveals the need for joint promotion between cities and tourists'tendency to multi-destination tourism. based on reviewing the domestic and foreign relevant literature of tourist spatial behavior. Taking China's inbound tourists in this study as the research object, getting first-hand analysis data by surveying inbound tourists, utilizing of social network analysis, mathematical statistical analysis, GIS spatial analysis and other methods, this study studies on multi-destination spatial behavior characteristics of China's inbound tourists, focuses on structure characteristics of multi-destination tourism network and spatial behavior patterns of multi-destination tourism, and studies on the affecting factor of the spatial behavior of multi-destination inbound tourists.By studying the network structure of multi-destination tourism of China's inbound tourists, the results showed that multi-destination tourist have a higher proportion of tourism, accounting for 79.6%. Tourism network has 46 main nodes which were China's inbound tourism larger cities. On the node structure, inbound tourism and other network nodes on average 2.96 nodes in contact with the tourist flow, and the node's degree centrality quite different, which divided the node into four grades. The higher level was, the fewer the number of nodes have. By city size and air conditions, key port cities and regional center cities had stronger tourist flow intermediary capability. On the overall network structure, inbound tourism overall network density is very low, incomplete development, weak function, large imbalance. The number of core nodes and edge nodes is roughly equal size, spatial distribution is more dispersed. The overall network had 9 close-knit small-group network.By studying on the spatial behavior patterns of China's multi-destination tourists, the results showed that port factor have important effect on the spatial behavior patterns of China's tourists. The development of inbound tourism needed to rely on the convenient port conditions. Under the constraints of port factor, there are four typical patterns of behavior for China's multi-destination tourists. They were single-port ring style, single-port base camp style. different-port chain style, and different-port complex chain style. The proportion of different-port styles is high. The factor of origin source, the number of days stay, the number visiting China, travel purposes, and travel arrangement style are five important factors affecting the selection of spatial behavior patterns of inbound tourists.The innovation of this study was that multi-disciplinary study on the multi-destination spatial behavior of China's inbound tourists would enrich the theoretical system of inbound tourism research. The introduction of social network analysis, from the facets of node structure, overall network structure, the equal-structure and group analysis, studied the tourist destination space network structure in the large scale, which enriching methodology system and research content of space tourism network.