云南省入境旅游流时空动态分布实证研究

曲靖师范学院学报 ›› 2017, Vol. 36 ›› Issue (6): 69-76.

云南省入境旅游流时空动态分布实证研究

付娅¹,明庆忠²,马晓冬¹,郭向阳¹,穆学青¹

1.云南师范大学旅游与地理科学学院,云南昆明 650500;
2.云南财经大学旅游文化产业研究院,云南昆明 650500

收稿日期:2017-06-28 出版日期:2017-12-10
通讯作者: 明庆忠,云南财经大学旅游文化产业研究院首席教授、博士生导师,主要从事区域经济与旅游开发管理研究.
作者简介:付娅,云南师范大学旅游与地理科学学院硕士研究生,主要从事区域旅游规划与管理研究.
基金资助:
国家自然基金项目“西南陆疆边境跨境旅游发展空间格局、机制及模式研究”(41671147)

The Spatio-temporal Dynamic Distribution of Inbound Tourist Flows in Yunnan Province

Fu Ya¹, Ming Qingzhong², Ma Xiaodong¹, Guo Xiangyang¹, Mu Xueqing¹

1.College of Tourism and Geography,Yunnan Normal University, Kunming Yunnan, 650500;
2.Institute of Tourism and Culture,Yunnan University of Finance and Economics, Kunming Yunnan 650500, China

Received:2017-06-28 Published:2017-12-10

摘要/Abstract

摘要： 引入惯习的概念,通过构建旅游惯习指数模型分析了2009-2013年期间云南省入境旅游流的时空动态分布及其离散性和集中性.研究结果表明:云南省入境旅游流月际集中指数整体呈现波动演变趋势;2010-2015年云南省入境旅游时间惯习指数总体平均值为6.0,2014-2015年间4至8月为云南省入境旅游客流集中时段,其余时段客流量少,客流离散性强;港澳地区是旅游热影区,旅游流集中性强;台湾地区的旅游空间惯习指数次之,泰国处于第三位、韩国处于第四位、马来西亚处于第五位、新加坡处于第六位;昆明、西双版纳、迪庆、大理、丽江5个地区的旅游空间惯习指数平均值分别为3.8、1.14、3.38、2.14、3.09,是云南省入境客流的集中区域;昭通市的旅游空间惯习指数平均值为0.004,是云南省16个地州市中S值最低的地区,说明该地区入境客流最少、离散性最强;2010-2015年间云南省入境旅游客源市场的地理集中指数G值分别为26.5、26、25.5、25.5、24.5、23,数值呈现走低趋势,说明云南省入境客源市场多样分散.

关键词: 旅游流, 旅游惯习指数模型, 时空动态, 云南省

Abstract: Based on the concept of habitus, a building tourism habitus index model is built to analyze the spatio-temporal dynamics distribution, discreteness and concentration of inbound tourist flows in Yunnan province. The research results show that: the monthly concentration index of inbound tourist flows in Yunnan province tended to fluctuate; the overall average habitus index of inbound tourism in Yunnan province 2010-2015 was 6.0 and in April to August inbound tourist flow went to the peak, while in the rest of the time there was less traffic flow and strong discreteness; tourist flows from Hong Kong and Macao took the first place and were highly concentrated; the tourism spatial index of Taiwan region and Thailand went to the second and the third; South Korea came in fourth, Malaysia in fifth, Singapore in sixth; Kunming, Xishuangbanna, Diqing, Dali, Lijiang were the top five cities of inbound tourism, and the tourism spatial habitus index of the 5 cities were respectively 3.8, 1.14, 3.38, 2.14, 3.09; tourism spatial habitus index in Zhaotong city had an average value of 0.004, with the lowest value for index(S) among the 16 prefectures in Yunnan Province, which showed that it had the lowest inbound tourist flow and the highest discreteness; in the past years from 2010 to 2015, the geographical concentration index (G) of inbound tourism market in Yunnan province was 26.5, 26, 25.5, 25.5, 24.5, 23, respectively, which showed a downward trend, indicating that the inbound tourism market of Yunnan province was diversified and dispersed.

Key words: tourism flow, tourism habitus index model, spatial and temporal dynamics, Yunnan Province

中图分类号:

F590.31

付娅,明庆忠,马晓冬,郭向阳,穆学青. 云南省入境旅游流时空动态分布实证研究[J]. 曲靖师范学院学报, 2017, 36(6): 69-76.

Fu Ya, Ming Qingzhong, Ma Xiaodong, Guo Xiangyang, Mu Xueqing. The Spatio-temporal Dynamic Distribution of Inbound Tourist Flows in Yunnan Province[J]. JOURNAL OF QUJING NORMAL UNIVERSITY, 2017, 36(6): 69-76.

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