长江流域资源与环境 >> 2016, Vol. 25 >> Issue (07): 1009-1015.doi: 10.11870/cjlyzyyhj201607001

•　区域可持续发展　•    下一篇

长江旅游带旅游资源空间格局研究

刘俊1, 李云云1, 林楚1, 王家庆1, 乔治2, 葛全胜3   

  1. 1. 四川大学旅游学院, 四川 成都 610065;
    2. 天津大学环境科学与工程学院, 天津 300072;
    3. 中国科学院地理科学与资源研究所, 北京 100101
  • 收稿日期:2015-10-15 修回日期:2016-04-11 出版日期:2016-07-20
  • 通讯作者: 李云云 E-mail:arina-scdxlyy@126.com
  • 作者简介:刘俊(1979~),男,副教授,博士,研究方向为可持续旅游.E-mail:liujun_igsnrr@126.com
  • 基金资助:
    国家自然科学基金项目（41101115）；四川省社科规划年度项目（SC15B046）；四川省软科学研究计划项目（2015ZR0225）；中央高校基本科研业务费学科前沿与交叉创新研究项目（skqy201639）；国家旅游局,长江国际黄金旅游带发展规划项目

SPATIAL PATTERN OF THE TOURISM RESOURCES OF YANGTZE RIVER TOURISM BELT

LIU Jun1, LI Yun-yun1, LIN Chu1, WANG Jia-qing1, QIAO Zhi2, GE Quan-sheng3   

  1. 1. Tourism School, Si Chuan University, Chengdu 610065, China;
    2. College of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China;
    3. Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China
  • Received:2015-10-15 Revised:2016-04-11 Online:2016-07-20
  • Supported by:
    National Natural Science Foundation of China (No. 41101115);Social Science Planning Annual Project of Sichuan, China (No.SC15B046);Soft ScienceResearch Project of Sichuan, China (No. 2015ZR0225);theFundamental Research Funds for the Central Universities (No. skqy201639);ChinaNational Tourism Administration, Yangtze River International Golden Tourism Belt Development Program

PDF (PC)

8

被引次数

11

摘要： 旅游资源的空间格局是旅游产业规划、布局的重要基础。本文选择长江旅游带9省2市世界遗产地、国家级自然保护区、5A旅游景区、全国重点文物保护单位等12类共计4729处旅游资源单体的空间分布数据，借助ArcGIS软件，运用空间自相关分析和核密度估计法对旅游资源空间格局进行了分析。结果表明，长江旅游带总体旅游资源、自然旅游资源和人文旅游资源在空间上均具有明显的聚类特征。总体旅游资源沿北纬30°线、G318国道以及沪昆、沪汉蓉高铁等交通主干线分布趋势明显；高级别旅游资源主要集中在长江三角洲地区；自然旅游资源主要集中在沪汉蓉及沪昆高铁沿线及其中间地带；人文旅游资源主要集聚在长江以南的长江三角洲、古徽州地区、滇西北地区以及黔东南少数民族地区。依据得出的旅游资源空间格局特征和分布规律，建议依托长江水道、G318国道和沿线高铁，打造东西向快速旅游通道和精品旅游线路；依托政策优势，联合多方组织机构形成跨区域旅游合作共同体。

关键词: 长江旅游带, 旅游资源, 空间格局, 空间自相关, 核密度估计

Abstract: Spatial pattern of tourism resources is an important factor for regional tourism development. Exploring its own rules has significant meaning for the development of the tourism industry. The study on spatial pattern of tourism resources in the Yangtze River tourism belt is useful for understanding the features and spatial structure of the resources, and is important for scientific planning of the overall layout of regional tourism industry and the achievement of sustainable tourism development. In this article we selected spatial data of 4649 tourism resources of 12 class in the Yangtze River tourism belt across 9 provinces and 2 cities, including World Heritage Sites, 5A-class scenic spots, National Nature Reserve, National Forest Park, National Scenic Area, National Wetland Park, Historical and cultural city, National key units, Classic Red Tourism, Chinese Traditional Villages, Characteristic Landscape Tourism Famous Town (Village) and Spa. With the ArcGIS 10.2 software, we use spatial autocorrelation analysis and kernel density estimation method to analyze the spatial pattern of tourism resources of the Yangtze River tourism belt. The results suggest that the overall tourism resources, human tourism resources and cultural tourism resources of the Yangtze River tourism belt show a significant resource clustering feature in space. The overall tourism resources distribute mainly along the line of 30° latitude, The Yangtze River waterway, the G318 Highway, Shanghai-kunming High-Speed Railway and Shanghai-Wuhan-Chengdu High-Speed Railway; The high-level tourism resources which including the World Heritage, 5A-class tourist attractions and National Nature Reserve are the most densely populated in the Yangtze river delta; Natural tourism resources are centralized in the Shanghai-Wuhan-Chengdu high-speed rail and Shanghai-Kunming high-speed rail; Human tourism resources are mainly concentrated in Yangtze River Delta, ancient Huizhou area, northwestern Yunnan province and Southeastern Guizhou province where Minorities live. According to the features and distribution of tourism resources, we summarize some suggestions:based on the Yangtze river waterway, the G318 Highway and the high-speed, constructing the east-west tourism fast channel and boutique tourist route; using the policy advantages, uniting multilateral organization to create cross regional tourism cooperation community, activate the market; developing characteristic tourism and tourism new hotspot in homogeneous tourism resources concentrated area.

Key words: Yangtze River tourism belt, tourism resources, spatial pattern, spatial autocorrelation analysis, kernel density estimation

中图分类号: 

  • F590
[1] 陆大道.建设经济带是经济发展布局的最佳选择——长江经济带经济发展的巨大潜力[J].地理科学, 2014, 34(7):769-772.[LU D D. Economic belt construction is the best choice of economic development layout:the enormous potential for the Changjiang River economic belt[J]. Scientia Geographica Sinica, 2014, 34(7):769-772.]
[2] 刘伟.长江经济带区域经济差异分析[J].长江流域资源与环境, 2006, 15(2):131-135.[LIU W. Regional economic disparity of Yangtze economic zone[J]. Resources and Environment in the Yangtze Basin, 2006, 15(2):131-135.]
[3] 傅伯杰.地理学综合研究的途径与方法:格局与过程耦合[J].地理学报, 2014, 69(08):1052-1059.[FU B J. The integrated studies of geography:coupling of patterns and processes[J]. Acta Geographica Sinica, 2014, 69(08):1052-1059.]
[4] 禹文豪,艾廷华,杨敏,等.利用核密度与空间自相关进行城市设施兴趣点分布热点探测[J].武汉大学学报·信息科学版, 2016, 41(02):221-227.[YU W H, AI T H, YANG M, et al. Detecting "hot spots" of facility POIs based on Kernel density estimation and spatial autocorrelation technique[J]. Geomatics and Information Science of Wuhan University, 2016, 41(02):221-227.]
[5] 潘竟虎,张建辉.中国国家湿地公园空间分布特征与可接近性[J].生态学杂志, 2014, 33(5):1359-1367.[PAN J H, ZHANG J H. Spatial distribution characteristics and accessibility of national wetland parks in China[J]. Chinese Journal of Ecology, 2014, 33(5):1359-1367.]
[6] 姜海宁,许树辉,谭石柳.中国民族乐器制造企业的空间格局[J].热带地理, 2014, 34(5):599-605.[JANG H N, XU S H, TAN S L. Spatial pattern of national musical instrument manufacturing enterprises in China[J]. Tropical Geography, 2014, 34(5):599-605.]
[7] 佟玉权.基于GIS的中国传统村落空间分异研究[J].人文地理, 2014, (4):44-51.[TONG Y Q. Research on the spatial differentiation of Chinese traditional village based on GIS[J]. Human Geography, 2014, (4):44-51.]
[8] 郭鹏,董锁成,李泽红,等.丝绸之路经济带旅游业格局与国际旅游合作模式研究[J].资源科学, 2014, 36(12):2459-2467.[GUO P, DONG S C, LI Z H, et al. Research on spatial distribution and international cooperation model of tourism industry in Silk Road[J]. Resources Science, 2014, 36(12):2459-2467.]
[9] 李玏,刘家明,宋涛,等.北京市绿带游憩空间分布特征及其成因[J].地理研究, 2015, 34(08):1507-1521.[LI L, LIU J M, SONG T, et al. Spatial characteristics and causes of recreational space in the urban green belt of Beijing, China[J]. Geographical Research, 2015, 34(08):1507-1521.]
[10] 薛东前,刘虹,马蓓蓓.西安市文化产业空间分布特征[J].地理科学, 2011, 31(07):775-780.[XUE D Q, LIU H, MA B B. Characteristics of spatial distribution of cultural industries in urban area of Xi'an City, China[J]. Scientia Geographica Sinica, 2011, 31(07):775-780.]
[11] 任平,洪步庭,周介铭.基于空间自相关模型的农村居民点时空演变格局与特征研究[J].长江流域资源与环境, 2015, 24(12):1993-2002.[REN P, HONG B T, ZHOU J M. Research of spatio-temporal pattern and characteristics for the evolution of rural settlements based on spatial autocorrelation model[J]. Resources and Environment in the Yangtze Basin, 2015, 24(12):1993-2002.]
[12] 任平,吴涛,周介铭.基于GIS和空间自相关模型的耕地空间分布格局及变化特征分析——以成都市龙泉驿区为例[J].中国生态农业学报, 2016, 24(03):325-334.[REN P, WU T, ZHOU J M. Analysis of spatial distribution pattern and evolutionary characteristics of cultivated lands based on spatial autocorrelation model and GIS platform-A case study of Longquanyi District, Chengdu, China[J]. Chinese Journal of Eco-Agriculture, 2016, 24(03):325-334.]
[1] 阎福礼, 邹艺昭, 王世新, 周艺, 朱金峰. 中国不同交通模式的可达性空间格局研究[J]. 长江流域资源与环境, 2017, 26(06): 806-815.
[2] 夏浩, 苑韶峰, 杨丽霞. 浙江县域土地经济效益空间格局演变及驱动因素研究[J]. 长江流域资源与环境, 2017, 26(03): 341-349.
[3] 张童, 陈爽, 姚士谋, 高群, 张家旗. 南京市生态足迹时空特征及脱钩效应分析[J]. 长江流域资源与环境, 2017, 26(03): 350-358.
[4] 潘竟虎, 张建辉. 中国县域人均粮食占有量的时空差异及驱动因素[J]. 长江流域资源与环境, 2017, 26(03): 410-418.
[5] 徐慧, 汪权方, 李家永, 张景雄, 孙佩. 1980年以来中国大宗作物空间格局变化分析[J]. 长江流域资源与环境, 2017, 26(01): 55-66.
[6] 敖荣军, 蒋亮, 张涛, 刘巧玉. 湖北省县域迁入人口的空间格局及影响因素[J]. 长江流域资源与环境, 2016, 25(11): 1672-1678.
[7] 赵安, 张文馨, 柳庆, 马玉宽, 段后浪, 商伊迪. 湖沼型血吸虫病疫区钉螺空间自相关的样点尺寸效应[J]. 长江流域资源与环境, 2016, 25(08): 1209-1217.
[8] 杜超, 王姣娥, 莫辉辉. 中国集装箱航运网络空间格局及复杂性研究[J]. 长江流域资源与环境, 2016, 25(02): 190-198.
[9] 吴连霞, 赵媛, 管卫华. 江苏省人口城乡结构差异的多尺度研究[J]. 长江流域资源与环境, 2016, 25(01): 25-38.
[10] 任平, 洪步庭, 周介铭. 基于空间自相关模型的农村居民点时空演变格局与特征研究[J]. 长江流域资源与环境, 2015, 24(12): 1993-2002.
[11] 管卫华, 彭鑫, 张惠, 魏也华. 不同空间尺度的江苏省区域经济差异研究[J]. 长江流域资源与环境, 2015, 24(12): 2003-2011.
[12] 李建豹, 黄贤金. 基于空间面板模型的碳排放影响因素分析——以长江经济带为例[J]. 长江流域资源与环境, 2015, 24(10): 1665-1671.
[13] 陈肖飞, 姚士谋, 张落成. 1990年以来长江三角洲耕地资源变化及驱动因子研究[J]. 长江流域资源与环境, 2015, 24(09): 1521-1527.
[14] 吴松, 安裕伦, 马良瑞. 城市化背景下喀斯特流域生态服务价值时空分异特征——以贵阳市南明河流域为例[J]. 长江流域资源与环境, 2015, 24(09): 1591-1598.
[15] 刘乙淼, 陈艳梅, 胡引翠. 长江流域土壤保持能力时空特征[J]. 长江流域资源与环境, 2015, 24(06): 971-977.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] 彭长青,冯金飞,卞新民. 基于遗传算法和GIS的县域水田种植制度空间布局优化[J]. 长江流域资源与环境, 2006, 15(1): 66 -70 .
[2] 唐 琦,虞孝感. 长江三角洲地区经济可持续发展问题初探[J]. 长江流域资源与环境, 2006, 15(3): 269 -273 .
[3] 王海云,高太忠,高京,黄群贤. 基于AHPLP法的南水北调中线水资源优化配置[J]. 长江流域资源与环境, 2007, 16(5): 588 .
[4] 张 燕, 张 洪, 彭补拙. 土地资源、环境与经济发展的协调性评价[J]. 长江流域资源与环境, 2008, 17(4): 529 .
[5] 吕东亮. 汉江水质优于长江的原因刍议[J]. 长江流域资源与环境, 2006, 15(Sup1): 102 -104 .
[6] 彭刚华,黄良英. 长江水质评价和预测模型探讨[J]. 长江流域资源与环境, 2006, 15(Sup1): 77 -82 .
[7] 黄锡生,唐绍均. 三峡库区环境安全保护法律实施机制探讨[J]. 长江流域资源与环境, 2004, 13(6): 611 -615 .
[8] 张孝飞,林玉锁,俞 飞,李 波. 城市典型工业区土壤重金属污染状况研究[J]. 长江流域资源与环境, 2005, 14(4): 512 -515 .
[9] 张 雷,吴映梅. 长江干流地区区域发展与国家工业化[J]. 长江流域资源与环境, 2005, 14(5): 633 -637 .
[10] 魏 伟,周 婕,许 峰. 大城市边缘区土地利用时空格局模拟——以武汉市洪山区为例[J]. 长江流域资源与环境, 2006, 15(2): 174 -179 .
ISSN 1004-8227
CN 42-1320/X
主管：中国科学院
主办：中国科学院武汉文献情报中心
地址： 武汉市武昌小洪山西区25号 中国科学院武汉文献情报中心内《长江流域资源与环境》编辑部
邮编：430071　
电话：027-87198181
E-mail： bjb@mail.whlib.ac.cn

版权所有 © 2018 《长江流域资源与环境》编辑部