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福建省国内旅游客源市场时空结构演变与拓展研究

The Evolution Analysis of Domestic Tourist Market'Temporal-Spatial Structure and Market Extension in Fujian Province
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摘要 运用市场集中率、ADod模型、市场空间使用曲线、距离衰减模式和系统聚类等方法,分析了福建省国内旅游客源市场时空结构的演变,并对客源市场进行地理细分和细分市场特征的描述。研究结果表明:福建省国内客源市场发展迅速,但发展势头不及其他省份;省内地市间国内旅游发展不平衡。省外以近、近中程市场为主,对中远、远程吸引力弱;吸引半径和吸引力不断下降;市场距离衰减模式以开方指数拟合效果最佳。提出针对4类细分市场的拓展对策,以期为有关部门拓展福建省国内客源市场提供决策参考。 Tourism destination spatial structure of tourist market is the basic content of tourism geography,and the result of the interaction between guest origin and destination . This article applied Concentration Ratio(CR), Average Distance of origin and destination(ADod) ,curve of market spatial-occupation, the model of distance decay and system cluster to analyze the evolution of domestic tourist market' temporal-spatial structure in Fujian Province , to segment the domestic market by geographical mean and describe the characteristics of market segments. The results are as followings:In recent years,it has witnessed a highly rapid development of domestic tourist market of Fujian Province, however, compared with other province in China,its speed is slower. The level of development in Fujian Province differs from city to city, and regional disparity is very outstanding. The short-medium range market is the main body of the guest market of other province,tourism attraction of medium and long range market is very weak. The radius of tourism attraction is cut short year by year. The Square Root Index model is the fittest model to reflect the law of market distance decay and so on. In addition, it made suggestion of how to expand the 4 kinds of market segments in order to make some relevant government departments understand the regulation of evolution domestic tourist market' temporal-spatial structure in Fujian Province and provide them with the decision-making reference to expand the market of other provinces.
出处 《旅游论坛》 2014年第4期81-87,共7页 Tourism Forum
基金 "中国旅游研究院优奖计划"课题资助项目(YJKT2013005)
关键词 国内客源市场 时空结构 地理细分 细分市场 福建省 domestic tourist market,temporal-spatial structure geographic segmentation market segments
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