基于网络分析法的旅游产业空间格局优化与空间拓展——以大连市为例

基于旅游产业经济活动的空间分布与空间相互作用关系，对旅游产业发展基本要素进行调控，进而找到最优的产业要素配置方案，释放区域旅游经济发展潜力。依据中心地理论、Gunn的旅游目的地地带理论以及旅游产业要素的空间相互作用理论，采集大连市旅游产业发展相关数据，基于交通网络数据集，利用GIS网络分析法提取旅游节点与旅游通道，构建各级旅游区，优化旅游产业空间组织格局。结果显示：优化得到5个一级旅游节点，12个二级旅游节点，10条一级旅游通道、12条二级旅游通道，在此基础上构建5个一级旅游区、17个二级旅游区总共22个域面，旅游节点、旅游通道与旅游域面有机结合构成大连市旅游产业空间组织网络，重铸大连市旅游发展轴线，拓展旅游业发展空间，优化旅游产业空间格局，实现旅游活动温冷区产业要素的高效利用。拓展乡村旅游发展空间，促进乡村旅游的转型升级与高质量发展。

Spatial Pattern Optimization and Spatial Expansion of Tourism Industry Based on Network Analysis Method: Take Dalian as an example

Based on the spatial distribution and spatial interaction of tourism industry economic activities, the basic development elements of tourism industry are regulated, and then the optimal industrial element allocation plan is found to release the potential of regional tourism economic development. According to central place theory, Gunn’s theory of tourist destination zone and the theory of tourism industry elements spatial interaction, collect data related to tourism industry development in Dalian, and extract tourism nodes and tourism channels based on the transportation network data set by using GIS network analysis method, construct tourist areas at all levels and optimize the spatial organization of the tourism industry. The results show that:5 first-level tourism nodes, 12 second-level tourism nodes, 10 first-level tourism channels and 12 second-level tourism channels are optimized, on this basis, 5 first-level tourism areas,17 second-level tourism areas and a total of 22 domains are built, the organic combination of tourism nodes, tourism channels and tourism areas forms the spatial organization network of Dalian's tourism industry, recasting Dalian's tourism development axis, expanding the space for tourism development, optimizing tourism industry spatial pattern, and realizing efficient use of industrial elements in warm and cold tourism activities zone. Expand rural tourism development space and promote the transformation, upgrading and high-quality development of rural tourism.