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作 者:李伟[1,2] 胡静[1,2] 陆汝瑞[1] 程绍文[1,2] 邢增丽[1] 周蕊蕊[1]
机构地区:[1]华中师范大学城市与环境科学学院,中国湖北武汉430079 [2]中国旅游研究院武汉分院,中国湖北武汉430079
出 处:《经济地理》2013年第1期180-186,共7页Economic Geography
基 金:国家自然科学基金项目(41101166);武汉市社科基金项目(11045)
摘 要:以武汉市18个主要旅游景区特殊时段旅游流为研究对象,使用地理集中G指数、绘制饱和曲线和斯泰恩斯峰值指数M图进行分析;用基尼系数(Gini)和不平衡指数S来分析其空间特征,并利用洛伦兹曲线检验。结果显示:①在各段时间上,来武汉观光游览的游客分布较为均匀;探亲访友、商务会议、购物美食在时间上分布的集中度较高,旅游流在短期内涌涨,具有明显的突出高峰。②在空间分布上,不同旅游目的的旅游流Gini系数均大于0.8,呈现集中分布特征,且分布不均匀。旅游流分布在各景区的不平衡指数S为0.4412,较不均衡,主要集中在黄鹤楼、东湖、长江大桥、汉口江滩、武汉大学、归元寺、湖北省博物馆、户部巷8个景区。③通过对比分析旅游流的空间分布和案例景区的地理空间结构,发现不同旅游目的的旅游流在空间分布上形成对区域旅游地理结构的响应现象,并提出了具体的响应模式。We sampled tourist flows in special-term and 18 typical scenic spots from Wuhan city as the object of study, using the saturation curve, G index, peak index M, Gini coefficient and imbalance index S, analyzing the temporal and spatial distribution of tourist flows in special-term based on different tourism purposes. The result indicates that: (1)The tourist flows with sightseeing purpose have a uniform distribution in various special terms, and the peak phenomenon bring up by short-term inflation is not obvious. The tourist flows with visiting friends or relatives, business meeting and shopping purposes have a relatively large G index, and the distribution concentration in time is in a high degree, the saturation curve of tourist flow scale and peak coefficient curve is relatively steep, the tourist flows have a substantial growth in short terms, but have a small scale in peacetime. So the tourist flows with these three tourism purposes have a prominent peak phenomenon in special-term. (2) The Gini coefficient of the tourist flows with different purposes in the spatial distribution is all more than 0.8, showing a centralized distribution feature, and the uniformity is low. After further use of the Lorenz curve index, we obtain the imbalance index S=0.4412, it indicates that the tourist flows have an uneven distribution in various scenic spots, and it mainly distributed in eight scenic spots: Yellow Crane Tower, East Lake, Yangtze River Bridge, Hankou Marshland, Wuhan University, Guiyuan temple, Hubei Provincial Museum and Hubu lane. (3) Through comparative analysis of the spatial distribution of tourist flows and Geo-spatial structure of the case scenic spots, we find out that the tourist flows with different purposes may have responses to Geo-spatial structure in spatial distribution, and proposed the specific mode of response.
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