乌鲁木齐住宿业空间分布及热点区模式研究

摘要/Abstract

摘要： 以乌鲁木齐住宿业为例，从等级规模、集聚程度、热点区及模式等方面进行分析。结果显示：（1）乌鲁木齐住宿业在空间上呈现“南密北疏、内密外疏”的整体特征；各等级住宿业场所均大致符合“南密北疏、内密外疏”的整体局部特征，但是又各自具有一定的特异性。（2）乌鲁木齐住宿业整体主要分布在重要交通设施、重要的商业圈、体育中心、会展中心附近、行政中心等区域附近。各等级住宿业分布呈现不同的特点。（3）乌鲁木齐住宿业的高高集聚区主要连续分布在城市南部的传统人口和城市产业集聚区；低低集聚区主要分散在城市开发程度低的边缘区，主要以城市北部和城市西南部为主。（4）通过空间插值分析，可识别乌鲁木齐住宿业场所的4个空间集聚热点区，可将其归纳为基于传统城市中心的轨道交通型热点区、基于CBD的城市商业休憩热点区、基于高新技术产业集聚的科技商务型热点区、基于地窝堡国际机场的空港旅行热点区4种模式。

关键词: 住宿业, 空间分布, ESDA, 克里金插值, 乌鲁木齐

Abstract: With the rapid development of China's national economy and people's living standards continuing to improve,the tourism has been prospering as well. As the three pillar industries of tourism,lodging industry has become the most basic facility for providing the most basic services for tourists. Exploring the spatial distribution of lodging industry in the city area is very essential for planning the lodging industries. According to China Hotel Association's report,nearly 90% of users will check users' reviews before booking decisions,online booking of hotels has become a leading option for Chinese travelers seeking the best deals and convenience. Qunar.com,a mainland online travel information provider,is the world's most popular Chinese travel platform,and provides Location Based services(LBS). With the data from Qunar.com,and by adopting four spatial analysis methods,including vector data symbolization,nuclear density analysis,exploratory spatial data analysis(ESDA) and Kriging spatial interpolations,this paper analyzed the spatial distribution characteristics of lodging industry of Urumqi City,Xinjiang,China in 2015,from aspects of scale grades,density,degree of concentration,hot zones and their spatial patterns. The results show as follows:(1) The southern and the inner Urumqi were high-density areas,and the northern and the outer parts were low-density areas. The lodging venues distributed in ellipse with Children Park as the center. The spatial distribution of different types of lodging venues were broadly in line with the overall spatial characteristics,but showed some specificity.(2) The lodging industry mainly distributed in patch,belt, and planar,and around important traffic infrastructure(railway station,airport),CBD,sports centers,convention centers,administration centers,etc. Different types of lodging industry had different spatial distribution types. (3) High-high areas were continuously located in the traditional habitations and urban-industry flouring areas in the south of Urumqi; while the low-low areas were dispersed in urban fringe areas,which mainly located in the north and southwest of Urumqi.(4) Four spatial aggregated hot zones of lodging industry were built with spatial interpolation analysis. Based on comprehensive analysis of regional hardware and software conditions,these hot zones were identified into four patterns:traditional rail transit hot zone in traditional urban center,business and recreation hot zone based on CBD,technology and business hot zone based on aggregated new technological industry, and airport hub hot zone based on Urumqi International Airport. Conclusions of this study will be helpful to explore location laws and distribution of lodging industry from spatial perspective,and could provide references for rational distribution and planning of lodging industries in practice,which is also beneficial to promote the development of tourism in Urumqi. Results also show that information from internet combing with geospatial information can not only affect the way tourists travel and live,but also provide new ways for urban internal spatial structure studies.

Key words: lodging industry, spatial distribution, ESDA, Kriging spatial interpolations, Urumqi

中图分类号:

F592.9

赵艳楠, 杨德刚, 张新焕, 熊传合. 乌鲁木齐住宿业空间分布及热点区模式研究[J]. 干旱区地理, 2016, 39(5): 1143-1152.

ZHAO Yan-nan, YANG Degang, ZHANG Xin-huan, XIONG Chuan-he. Spatial distribution characteristics and hot zone patterns of lodging industry in Urumqi[J]. , 2016, 39(5): 1143-1152.

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