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作 者:刘泽华[1] 张捷[1] 吴小根[1] 史春云[2]
机构地区:[1]南京大学地理与海洋科学学院,南京210093 [2]徐州师范大学城市环境学院,徐州221116
出 处:《人文地理》2010年第1期129-133,11,共6页Human Geography
基 金:国家自然科学基金项目(40371030);南京大学人才引进培养基金项目(020922410116)
摘 要:以北京、黄山、西安3组旅游目的地区域的6处重点景区为案例地,使用R指数、G指数、相关分析及Person相关系数,对其历次黄金周旅游客流时间分布特征及影响因素进行分析,结果显示:在特殊时段内,旅游客流时间分布特征在一定程度上由区域旅游各要素的空间结构特征所决定,即同一依托城市的不同景区,其旅游资源的属性、周边旅游资源配置和旅游资源区位共同影响着旅游地客源地结构和旅游者景区选择及空间行为,从而影响区域旅游客流的时间分布和空间分布,形成相关景区的旅游客流对区域旅游地理结构的响应现象。Public holidays play a key role in Chinese tourism industry, and the present distribution of tourist flow is a very important topic. Three pairs of scenic spots are selected for study: 1) the Imperial Palace and the Badaling Great Wall in Beijing; 2) Hua Mountain and the Ancient Villages at Huangshan, Southern Anhui; 3) Terra-cotta Warriors and Horses Museum and Hua Mountain near Xi'an. A comparative study is ap- plied to analyze the impact of tourist flows in special-term of regional tourism structure in golden weeks. After golden week in "Labor Day" and "National Day", the National Holiday Affairs Office issues reports of tourist flows in some major tourists spots nationwide based on its information system. We can find that the tourist flows of the six scenic spots all have a bell curve in golden weeks; the mean of R index of the spots is between 0.056 and 0.077; the distinction between the two is less than 0.01; and the G index of every spot is less than 0. The result indicates that more tourists visit these spots in the early stage of golden weeks than usual. With the similar grade and popularity, the Imperial Palace has the priority to be visited because of its better location compared to the Badaling Great Wall. The absolute G index of the former one is therefore bigger than the other, and the Pearson Correlation Coefficient will reach the highest value if tourist flow of the Imperial Palace lagged 1 day behind. The grade, popularity, location, accessibility of tourism facility of destinations and the spatial relationship in a same city affect the spatial structure of the tourist origins, choices of scenic spots and tourist route. These factors determine the tendency of spatial and present distribution of tourist flows. Furthermore, it is the response of tourist flow to the structure of regional tourism in golden weeks.
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