地理研究 ›› 2013, Vol. 32 ›› Issue (1): 179-190.doi: 10.11821/yj2013010018

• 城市与旅游地理 • 上一篇    下一篇

黄山市自驾车入游流旅行空间行为研究

卢松1, 吉慧2, 蔡云峰1   

  1. 1. 安徽师范大学国土资源与旅游学院, 芜湖241003;
    2. 安徽师范大学皖江学院, 芜湖241008
  • 收稿日期:2012-03-18 修回日期:2012-07-30 出版日期:2013-01-10 发布日期:2013-01-10
  • 作者简介:卢松(1974- )男,安徽黄山人,教授,博士,博士生导师,主要从事旅游地理研究。E-mail:ahlusong@126.com
  • 基金资助:

    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)

A study on the spatial travel behavior of self-driving tourists into Huangshan City

LU Song1, JI Hui2, CAI Yunfeng1   

  1. 1. College of Territorial Resource and Tourism, Anhui Normal University, Wuhu 241003, Anhui, China;
    2. Tourism Department, Wanjiang College of Anhui Normal University, Wuhu 241008, Anhui, China
  • Received:2012-03-18 Revised:2012-07-30 Online:2013-01-10 Published:2013-01-10

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。

关键词: 自驾车, 旅游流, 空间行为, 旅游空间使用曲线, 黄山市

Abstract: Taking Huangshan City as the study area, the paper studies the spatial travel patterns of self-driving tourists inside a tourism destination. It can be concluded as follows. (1) There are three market characteristics of self-driving tourists: an adjacent character, a clear character for eastbound development and the character concentrated on the 4-hour drive. In the flow of self-driving tourists into Huangshan City, those who come from Anhui Province and Yangtze River Delta account for 76.6%. (2) The tourism spacial use curve of self-driving is consistent with curves of Boltzman. The number of tourists increases with distance and peaks at 400 km, then, the number of tourists shows a rapid decrease. On the whole, its gravity field concentrates on the scope of 600 km, and the accumulation percentage of tourists reaches 79.37%. (3) Spatial travel behaviors of self-driving tourists into Huangshan City are shown in the following: the highways constitute the skeleton of the traffic of self-driving tourism into Huangshan City, self-driving forms the prominent center for the accumulation in the district, the traffic flow shows the regional unbalance evidently, and spatial interaction between scenic sites has an impact on the spatial behavior of self-driving tourists. (4) The spatial pattern of self-driving tourism into Huangshan City are mainly taken as the forms of "single destination" (64%)", "transit leg and circle tour" (12%), and some others take up 12%, and a completely round-route pattern has not been found.

Key words: self-driving, tourism flow, spacial travel behavior, tourism spatial use curve, Huangshan City