福建省自驾入游流市场及网络结构特征研究

发布时间：2018-03-12 22:37

  本文选题：自驾旅游流　切入点：市场特征　出处：《世界地理研究》2017年06期 　论文类型：期刊论文

【摘要】：以网络游记数据挖掘为基础,综合运用社会网络分析方法、GIS和数理统计技术,揭示福建省自驾入游流市场及网络结构特征。市场特征为:出游高峰期与低谷期年内交替四次,呈现明显的双"M"型,高峰期与我国"长假"时间高度吻合;结伴方式以夫妻、亲子、带父母的家庭出游方式为主(占60.1%),其次为亲朋好友(占27.1%);88.18%的自驾游客在福建省内停留时间不超过6天,其中逗留3天(占23.15%)的比例最高;自驾游省外客源市场结构呈现明显的近地域性和沿海发达省份和城市的高度集中性;自驾游单程公路里程空间使用曲线具有较为典型的Boltzman曲线特点,一、二级客源市场范围单程公路里程分别为0-800km和800-1400km,1400km以外为三级客源市场。网络结构特征为:网络节点地位呈现较强的不均衡性,两极分化明显,核心节点之间的互动频率远高于边缘节点;整体上看,福建省自驾入游流空间等级序列明显,核心区和重要区域所占比例偏小,空间分布呈现"整体分散、局部集中"的格局,旅游流集中于思明区、南靖县、鼓楼区、永定区、武夷山市等高级别景区所在的区域。节假日制度、单程公路距离及高级别景区对自驾旅游流的形成影响较大,省内节点间公路距离对旅游流的影响极小。
[Abstract]:Based on the data mining of online travel records, this paper uses the social network analysis method GIS and mathematical statistics technology to reveal the characteristics of self-driving travel flow market and network structure in Fujian Province. The market characteristics are as follows: the peak and low travel periods alternate four times in a year. There is an obvious double "M" pattern, and the peak period is highly consistent with the "long vacation" period in our country; the way of marriage is husband and wife, parents and children. Family travel with parents was the main way (60.1%), followed by relatives and friends (27.1% of self-driving tourists stay in Fujian province for no more than 6 days, among which the proportion of stay 3 days (23.15%) was the highest; The structure of tourist market outside the province is obviously near regional and highly concentrated in developed coastal provinces and cities. The spatial usage curve of one-way highway mileage has the typical Boltzman curve. The mileage of one-way highway in the second class passenger market range is 0-800 km and 800-1400 km / 1 400 km respectively. The network structure is characterized by strong imbalance of network node status and obvious polarization. The frequency of interaction between core nodes is much higher than that of marginal nodes. On the whole, the spatial sequence of self-driving swimming flow in Fujian Province is obvious, the proportion of core area and important area is small, and the spatial distribution is "overall scattered, local concentrated" pattern. Tourism flows are concentrated in the areas of Siming District, Nanjing County, Gulou District, Yongding District, Wuyishan City and other high level scenic spots. The holiday system, one-way highway distance and high-level scenic spots have a great impact on the formation of self-driving tourism flows. The influence of the highway distance between the nodes in the province on the tourist flow is minimal.
【作者单位】： 泉州师范学院资源与环境科学学院;
【基金】：福建省教育厅2016年度中青年项目(JAT160420,JAS160456) 福建省科技厅项目(2016R0081) 泉州市社科联项目(2016H12)
【分类号】：G895
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本文编号：1603573