地理科学进展 ›› 2012, Vol. 31 ›› Issue (4): 510-517.doi: 10.11820/dlkxjz.2012.04.015

• 旅游与文化地理 • 上一篇    下一篇

基于公路网络的甘肃省城市旅游腹地研究

石培基, 王祖静, 李巍   

  1. 西北师范大学地理与环境科学学院,兰州 730070
  • 收稿日期:2011-08-01 修回日期:2011-10-01 出版日期:2012-04-25 发布日期:2012-04-25
  • 通讯作者: 王祖静(1988-),男,江苏东台人,硕士生.E-mail: wzjchshy@126.com
  • 基金资助:
    国家自然科学基金项目(40971078).

Study of the Urban Tourism Hinterland Based on Road Networks in Gansu Province

SHI Peiji, WANG Zujing, LI Wei   

  1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
  • Received:2011-08-01 Revised:2011-10-01 Online:2012-04-25 Published:2012-04-25

摘要: 甘肃省旅游资源丰富,有3 个5A级和15 个4A级景区,但是由于受交通条件和经济因素的影响,旅游经济并不是十分发达.本文将城市地理学的腹地理论应用于旅游规划中,同时考虑中心城市旅游经济综合规模和公路交通条件,在GIS软件支持下,采用矢量数据的空间分析方法,以2009 年甘肃省14 个地级市州为研究对象,借助场强模型和哈夫模型,计算旅游经济的场强,进行城市旅游腹地的测定,发现场强随着距离中心城市和路网越远而逐渐减小,并且腹地多形成于中心城市周边,沿路网分布十分明显.然后将旅游腹地与市域行政区范围进行叠置分析,找出属于处于相同层次类型的城市,以期为增加全省旅游经济收入,全省城市旅游经济区划和旅游规划编制提供参考.

关键词: GIS, 城市旅游腹地, 甘肃省, 公路网络

Abstract: There are rich tourism resources in Gansu Province, including three 5A level and fifteen 4A level scenic spots. But due to unsatisfactory traffic conditions and economic factors, the tourism economy there is not highly developed. The central cities have great effect on the surrounding tourism hinterlands. This article applies the theory of urban geography in the research on the tourism industry, and takes into account the comprehensive scale of tourism economy of central cities and road traffic conditions. It takes 14 prefecture-level cities as the study area of Gansu Province in 2009, supported by GIS software and based on vector analysis of spatial data. With the field strength model and the Huff model, we calculate the field strength of tourism economy, and divide the hinterland of urban tourism with the overlay analysis of the city zoning. In addition, this paper identifies cities belonging to the same type. Finally, suggestions are put forward on the urban tourism economic zonation and tourism planning so as to increase the income of Gansu Province.

Key words: Gansu Province, GIS, road networks, urban tourism hinterland