黄山市自驾车入游流旅行空间行为研究

发布时间：2018-06-16 22:05

本文选题：自驾车 + 旅游流　；参考：《地理研究》2013年01期

【摘要】：以安徽黄山市为研究案例,分析了自驾车入游流空间行为。结果表明:①自驾车入游客源市场结构表现出近域性明显、东向发展特征显著、集中于4小时交通圈等特征,其中安徽省和长三角地区客源占据了绝对比重,达到76.6%。②自驾车旅游空间使用曲线具有较为典型的Boltzman曲线特点,即随距离增加,旅游人数不断增长,在400 km处达到最高峰,随着距离的进一步增加,旅游人数出现快速下降趋势,其引力场主要集中在600 km范围以内。③自驾车入游流空间流动行为特征表现为:高速公路构成黄山市自驾车旅游交通线路流量的骨架,自驾车在区域内形成了较为显著的集聚中心,交通流量区域空间分布明显不均衡,景区空间相互作用影响自驾车旅游者的空间流动行为。④黄山市自驾车旅行空间模式主要表现为直游式为主(64%),没有完全的环形线路模式。
[Abstract]:Taking Huangshan City, Anhui Province as a case study, this paper analyzes the spatial behavior of self-driving swimming flow. The results show that the structure of the market in which he drives himself into the tourist source shows an obvious near-regional character, and the eastward development is remarkable, and the structure is concentrated in the four-hour traffic circle. Among them, Anhui Province and the Yangtze River Delta region account for the absolute proportion of tourists. The spatial usage curve of self-driving tourism has the characteristic of Boltzman curve, that is, with the increase of distance, the number of tourists increases continuously, and reaches its peak at 400 km, and increases with the distance. The number of tourists is decreasing rapidly, and its gravitational field is mainly concentrated in the range of 600 km. The characteristics of spatial flow of self-driving tourist flow are as follows: the skeleton of self-driving tourist traffic line in Huangshan City is formed by the expressway. The self-driving has formed a relatively significant concentration center in the region, and the spatial distribution of the traffic flow in the region is obviously uneven. Spatial interaction of scenic spots affects spatial mobility behavior of self-driving tourists .4 the spatial pattern of self-driving travel in Huangshan City is mainly characterized by direct travel mode and there is no complete circular circuit mode.
【作者单位】：安徽师范大学国土资源与旅游学院;安徽师范大学皖江学院;
【基金】：国家自然科学基金项目(41230631,40801054) 安徽省哲学社会科学规划项目(AHSKF09-10D41)
【分类号】：G895

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