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机构地区:[1]华南理工大学建筑学院,广东广州510640 [2]亚热带建筑科学国家重点实验室,广东广州510640
出 处:《旅游学刊》2014年第6期57-66,共10页Tourism Tribune
基 金:国家自然科学基金(51108184);国家社科基金重大项目(11&ZD154);亚热带建筑科学国家重点实验室(2012KB15;2011ZC16)资助~~
摘 要:区域旅游线路呈现出的空间几何特征及其地理拓扑关系可以运用复杂网络工具进行剖析。该研究在国内外相关研究的基础上,以福建省为例,分别对省内出发和省外出发两种不同空间尺度的旅游线路进行定量分析,利用从出发地到各个旅游目的地形成的地理拓扑关系建构区域旅游网络,在此基础上从空间平均距离、形态指数、点度分布、中间性、匹配性、鲁棒性等统计量来分析旅游线路的空间网络结构。研究表明,多重区域旅游线路组合形成的网络整体上呈现出无标度网络特征,知名旅游目的地在网络中占据着核心位置;区域旅游线路的空间网络结构反映出福建省各旅游目的地的跨区合作已初见端倪,但仍需要深化推行产业集群区的跨区域合作经营;从点度的分布方面,省内旅游市场中的旅游线路在空间尺度上对旅游目的地的覆盖范围更加广泛,且各目的地的点度分布较为均衡,而省外旅游市场则仍需要继续与区域旅游的非核心目的地进行深度整合。The management of tour destinations is profoundly influenced by the spatial characteristics of regional tourist itineraries. These characteristics, including spatial geometric features and topological relations, can be analyzed by the Complex Network Tools of Graph Theory. Complex network tools analysis is adapted in this research in regard to the tourist itineraries of Fujian Province, China. Based on domestic and foreign studies and tourist itinerary data collected from domestic public travel agent websites (randomly selecting 262 inter-provincial itineraries and 321 itineraries within the province of Fujian from the period January to February 2013), this research develops a quantitative model of the regional tourism networks of the province. The model was built by exploring the topological relationships between origins and destinations as revealed in these itineraries. The values of relationship indicators like average spatial distance, morphological index, degree distribution, betweenness, assortative mixing, and robustness were generated to assist in analyzing the spatial network structure of tourist itineraries. In structuring itineraries within the province and inter-provincial itineraries from the collected data using ArcGIS 10.0, it can be seen that the spatial structure of inter-provincial itineraries lies on one axis with multi-subnets, while that of itineraries within the province is asteroid. On the one hand, the rank- size analysis shown by degree of distribution suggests that inter-provincial tourism destination exploration tends to be balanced, with a concentration on multiple selections and dispersed distribution. On the other hand, destination distribution within the province is concentrated on famous domestic destinations. With regard to itinerary selection patterns, inter-provincial itineraries tend to be short but intensive tours, while itineraries within the province are mainly long trips. Finally, in terms of network survivability, the regional tourist itinerary network generally has a
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