地理学报 ›› 2003, Vol. 58 ›› Issue (5): 781-788.doi: 10.11821/xb200305018

• 经济地理 • 上一篇    下一篇

旅游集散地规划的地计算模型及案例

邓悦1, 王铮1,2, 刘扬1, 李山1, 周嵬1   

  1. 1. 华东师范大学教育部地理信息重点实验室,上海 200062;
    2. 中国科学院政策与管理研究所,北京 100080
  • 收稿日期:2002-05-29 修回日期:2002-12-27 出版日期:2003-09-25 发布日期:2010-09-09
  • 作者简介:刘扬 (1969-), 男, 博士生。E-mail: yuguliu@yahoo.com
  • 基金资助:

    国家自然科学基金资助项目 (4990008)

Several Geocomputation Problems on Tourism Distribution Center Planning

DENG Yue1, WANG Zheng1,2, 1, LIU Yang1, ZHOU Wei1   

  1. 1. Geo-information Key Laboratory, ECNU, Shanghai 200062, China;
    2. Policy and Management Institute, CAS, Beijing 100080, China
  • Received:2002-05-29 Revised:2002-12-27 Online:2003-09-25 Published:2010-09-09
  • Supported by:

    National Natural Science Foundation of China, No.4990008

摘要:

从地计算的角度出发,分析了地计算在旅游集散地规划中的问题,以江西上饶为例,运用可计算模型对旅游地域系统规划中的旅游中心集散地选择问题,旅游服务设施区位以及宾馆床位数的最优化问题进行了研究。这些问题的共同特征是它们是区域规划性质的、地理学的,而不是建筑学的景点景观设计。研究发现,地计算对于提高规划水平,是有效的,同时表明一般的空间分析问题,可以建立可计算模型。所有模型采用Visual Basic6.0(VB)编写程序实现计算,程序中调用了GIS软件中的MapObjects2.0控件实现地理显示、分析功能。这一工作显示VB与GIS软件结合,可以获取强大的空间分析功能。

关键词: 地计算, 旅游集散地, 设施区位, 上饶

Abstract:

In this paper, firstly, Dredge's structure model of tourism region was developed as a base, and a hierarchical multi-center structure was suggested; secondly, the paper applies Airport model, multi-Weber's problem model and newsboy model in operational research respectively to study the choice of tourism distribution center, the profit maximization location of Tourism Service Facility and the optimization bed number. In order to carry out computation, this paper combines GIS technique with Visual Basic6.0 (VB). All the programs, which compute the choice of tourism distribution center (hub), the profit maximization location of Tourism Service Facility and the optimization bed number, are written by using VB, and finally geographical display and analysis function are completed by using MapObject Control. The core parts of the programs have been identified in this paper, including the choice of Tourism Distribution Center, the choice of Tourism Service Facility location, and the computation of optimization bed number. An application to Shangrao, China was shown in this paper.

Key words: geocomputation, Tourism Distribution Center, facility, location, Shangrao