[1]邓良凯,黄 勇*,石亚灵,等.山区旅游地空间结构演变规律及规划优化[J].山地学报,2019,(6):910-922.[doi:10.16089/j.cnki.1008-2786.000481]
 DENG Liangkai,HUANG Yong*,SHI Yaling,et al.Evolution Pattern of Spatial Structure of Tourist Destinations in Mountain Areas and Optimized Planning[J].Mountain Research,2019,(6):910-922.[doi:10.16089/j.cnki.1008-2786.000481]
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山区旅游地空间结构演变规律及规划优化()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2019年第6期
页码:
910-922
栏目:
山区发展
出版日期:
2019-11-30

文章信息/Info

Title:
Evolution Pattern of Spatial Structure of Tourist Destinations in Mountain Areas and Optimized Planning
文章编号:
1008-2786-(2019)6-910-13
作者:
邓良凯1 黄 勇12* 石亚灵1 万 丹3 郭凯睿1
1.重庆大学 建筑城规学院,重庆400030; 2.重庆大学 山地城镇建设与新技术教育部重点实验室,重庆 400030; 3.重庆大学 规划设计研究院责任有限公司,重庆400030
Author(s):
DENG Liangkai1 HUANG Yong12* SHI Yaling1WAN Dan3Guo Kairui1
1.Faculty of architecture and urban planning, Chongqing University, Chongqing 400030, China; 2.Key Laboratory of new technology for construction of cities in mountain area, Chongqing University, Chongqing 400030, China; 3. Chongqing University Planning & Design Institute Co., Ltd, Chongqing 400030, China
关键词:
空间结构 演变规律 复杂网络 山区旅游地 川西北高原
Keywords:
spatial structure evolution pattern complex networks tourist destinations in mountain areas the northwest plateau of Sichuan
分类号:
TU982.2~A
DOI:
10.16089/j.cnki.1008-2786.000481
摘要:
探究山区旅游地空间结构演变规律对于促进经济欠发达地区的旅游发展具有重要意义。本文以川西北高原为研究对象,运用复杂网络分析法构建川西北高原多时段旅游流网络模型,通过计算节点强度、联系强度、网络腹地等指标研究山区旅游地的空间结构演变规律和演变模式,并提出规划优化策略。研究发现:(1)受山区地形阻隔的影响,不同等级旅游地的空间分布由“集聚”状态演变为 “集聚-破碎”状态;(2)以稻城-亚丁和新都桥-丹巴为代表的主要和次要旅游联系轴线网络化状态越发明显;(3)以新都桥、色达、马尔康为代表的核心旅游地组团空间范围呈现出扩张、稳定、收缩三种不同的演变态势。基于此,提炼山区旅游地空间结构“树状-串联状-环状网络”的演变模式,提出川西北高原旅游地“三横三纵多中心多组团”的空间结构优化策略。本研究可为山区旅游地空间结构研究提供参考。
Abstract:
To explore the evolution law of spatial structure of tourism destinations in mountain areas is of great importance to boost the tourism development in the undeveloped mountain zones. Taking the plateau in the northwest Sichuan,China as a case, this study at first deploys the complex network analysis method to build up a multi-period network model using travel flow data in the northwest Sichuan plateau. Secondly, the network characteristics of the model are analyzed by typical indicators such as hierarchical structure, level structure and group structure. Thirdly, the study investigates the evolution law and pattern of spatial structure of tourism destinations in mountainous fields, and a series of planning optimization strategies for the spatial structure of tourism are put forward accordingly. This study has three main findings:(1)On account of the terrain barriers in the mountain areas, spatial distribution pattern of tourist destinations across different hierarchies has evolved from the formation of “agglomeration” to “agglomeration-fragmentation”.(2)The network processing of tourism interactions axis within different levels have become quite evident, which are exemplified by Daocheng-Aden as the first-level and Xinduqiao-Danba as the second-level.(3)The spatial scopes of the core groups of tourism destinations, which are represented by Xinduqiao, Seda and Malcome, have demonstrated three evolutionary characteristics of expanding, stabilizing and contracting. Based on this, this study finally extracts the evolution pattern of spatial structure of tourist destinations in mountain areas as “ branch-tandem-ringed network ”, and an optimized layout for spatial structure of tourist destinations of the plateau in the northwest Sichuan is also proposed in this study, which advocates that the tourist destinations in the plateau should be organized spatially in the shape of “three horizontal, three vertical, multi-centers and multi-groups.” This case study can provide some references for the research of tourism spatial structure and especially planning issues in the mountain areas.

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备注/Memo

备注/Memo:
收稿日期(Received date):2019-06-30; 改回日期(Accepted date):2019-12-12
基金项目(Foundation item):国家重点研发计划资助(2018YFD1100804)[National Key R&D Program of China(2018YFD1100804)]
作者简介(Biography):邓良凯(1991-),男,四川雅安人,硕士,研究方向为城乡复杂网络分析。[DENG Liangkai(1991-),born in Ya'an, Sichuan province, M.Sc., research on urban and rural planning and complex network analysis] E-mail: 20151502032@cqu.edu.cn
更新日期/Last Update: 2019-11-30