地理科学进展 ›› 2018, Vol. 37 ›› Issue (10): 1405-1415.doi: 10.18306/dlkxjz.2018.10.010

• 研究论文 • 上一篇    下一篇

基于互联网数据的住宿业竞争力及其空间格局——以武汉主城区高端酒店为例

王娟1,2(), 李亚娟1,2, 吕丽1,2, 胡静1,2, 张祥1,2,*()   

  1. 1. 华中师范大学城市与环境科学学院,武汉 430079
    2. 中国旅游研究院武汉分院,武汉 430079
  • 收稿日期:2017-11-30 修回日期:2018-04-03 出版日期:2018-10-28 发布日期:2018-10-28
  • 通讯作者: 张祥 E-mail:sjjpwangjuan@126.com;znnyt@163.com
  • 作者简介:

    作者简介:王娟(1985-),女,湖南长沙人,博士生,主要研究方向为城市旅游、旅游与区域发展,E-mail: sjjpwangjuan@126.com

  • 基金资助:
    国家自然科学基金项目(41601123,41601127);中央高校基本科研业务费项目(CCNU16BG001)

Hotel competitiveness evaluation and spatial pattern based on Internet data: A case study of high-end hotels of Wuhan urban area

Juan WANG1,2(), Yajuan Li1,2, Li LV1,2, Jing HU1,2, Xiang ZHANG1,2,*()   

  1. 1. The College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
    2. Wuhan Branch of China Tourism Academy, Wuhan 430079, China
  • Received:2017-11-30 Revised:2018-04-03 Online:2018-10-28 Published:2018-10-28
  • Contact: Xiang ZHANG E-mail:sjjpwangjuan@126.com;znnyt@163.com
  • Supported by:
    National Natural Science Foundation of China, No.41601123, No.41601127;Fundamental Research Funds for the Central Universities, No.CCNU16BG001

摘要:

随着互联网的发展,利用互联网数据来研究城市实体空间问题成为城市地理学研究内容和研究方法的新切入点。本文基于互联网消费平台点评数据、互联网地图实时交通数据和城市兴趣点等数据,在建立住宿业竞争力评价指标体系的基础上,计算武汉主城区高端酒店竞争力得分和排名,并探求住宿业竞争力的空间分布特征和布局模式。研究发现:①武汉高端酒店竞争力得分总体较为集中。价格、人气、周边商业和商务服务是酒店之间竞争力差距的主要因素;②武汉高端酒店竞争力投射在空间上总体呈现点状聚集与线形延伸并存的格局,竞争力高分酒店主要集中在二环线内的武昌和汉口;③随着酒店竞争力等级的下降,酒店空间格局呈现由城市中心向四周递减的圈层式发展规律,高等级酒店大多出现在新兴商业区;④本文归纳了武汉主城区高端酒店竞争力空间分布模型,得出中央活动区新兴商圈顶级高端酒店、中央活动区传统商圈中级高端酒店、交通门户周边中级高端酒店等7种住宿业空间格局类型。

关键词: 互联网数据, 高端住宿业, 竞争力, 空间格局, 武汉

Abstract:

The rapid development of the Internet provides a new breakthrough point for urban geography research by using Internet data and technology to study urban physical space problems. Based on customer reviews and comments of online-to-offline (O2O) platform, real-time traffic data, and points of interest (POI) data of web-map, this study set up a competitiveness evaluation index system of high-end hotels and calculated the high-end hotel competitiveness and ranking of Wuhan urban area, then emphatically analyzed its spatial patterns using GIS tools. The results indicate that: (1) With most hotels in the middle and few in the top and bottom rankings, the competitiveness distribution line indicates a general concentrated structure. Price, popularity, business, and commerce services in the surroundings are the main factors that widen the competitiveness levels between hotels. (2) The overall spatial structure is featured by a mixture of point clustering and linear spread that basically concentrate in Wuchang and Hankou town areas within the second ring road. (3) As the competitiveness grades go down, hotels are more likely to locate toward the outskirt of the city, showing a circling spatial structure. (4) The spatial distribution model of Wuhan high-end hotels can be summarized as seven types of hotel spatial layout, such as super-high-end hotels located in the newly-developing business district in the central activity zone (CAZ), middle-leveled high-end hotels located in the traditional business district in the CAZ, and middle-leveled high-end hotels located around traffic gateways, and so on.

Key words: internet data, high-end hotels, competitiveness, spatial structure, Wuhan City