摘要
以哈大高铁为例,运用社会网络分析的方法,比较了哈大高铁沿线6座城市旅游流空间结构的变化特征;对比了沿线各城市旅游资源、接待能力以及各地间时间距离,分析旅游流空间结构变化的原因.研究表明:在各城市自身旅游资源特点、接待能力以及区位特点的影响下,高铁使哈尔滨、大连、沈阳、产生旅游流聚集及扩散的"马太效应";旅游资源禀赋不高、旅游接待能力较弱的城市,以及被具有更好旅游资源、更强接待能力的城市包围的城市,在高铁开通后产生"过滤效应";高铁的开通,使得大连的旅游可进入性增强,使其更好的发挥旅游资源及接待能力优势,增加了旅游流吸引力.
In this article, the Speed Railway is examined, an spatial structure of tourist flow among seven cities on Harbin - Dalian High example of what it used social network analysis. Tourism resources, reception capacity of tourists and distance among cities are compared, in order to explore the reason why the spatial structure of tourist flow changes. The results show that Harbin, Dalian, Shenyang are strengthened as tourist origins and destinations, demonstrating the "Matthew Effect". The cities which have less tourism resources and less capacity of tourist reception than most of cities in the area, behave "Filtering Effect" after High Speed Railway service. And the cities which are just a little less than ones around them show the same "Filtering Effect" phenomenon. The accessibility of Dalian haves been increased after the operation of HSR. The HSR enhances the superiority of Dalian in attracting tourism flow.
出处
《哈尔滨师范大学自然科学学报》
CAS
2016年第6期74-78,共5页
Natural Science Journal of Harbin Normal University
关键词
哈大高铁
旅游流
空间结构
马太效应
过滤效应
Harbin -Dalian High Speed Railway
Tourist flow
Spatial structure
Matthew effect
Filtering effect