省域A级景区密度时空分异的主导因素探析——以云南省为例

曲靖师范学院学报 ›› 2019, Vol. 38 ›› Issue (6): 36-43.

• 云贵高原资源环境研究 • 上一篇下一篇

省域A级景区密度时空分异的主导因素探析——以云南省为例

张红梅¹, 明庆忠¹, 陈慕亚²

1.云南财经大学旅游文化产业研究院,云南昆明 6502212;
2.西北大学城市与环境学院,陕西西安 710127

收稿日期:2019-06-14 出版日期:2019-11-26
作者简介:张红梅,云南财经大学旅游文化产业研究院在读研究生,主要从事区域旅游规划与开发研究.

Analysis of Spatial and Temporal Variation of A-Level Scenic Spot Density within Provincial Scope and Its Dominant Factors

Zhang Hongmei¹, Ming Qingzhong¹, Chen Muya²

1.Institute of Tourism Culture Industry Research, Yunnan University of Finance and Economics, Kunming Yunnan,6502212 China;
2.School of Cities and Environment,Northwestern University Xi’an Shanxi,710127,China

Received:2019-06-14 Published:2019-11-26
Contact: 明庆忠,云南财经大学旅游文化产业研究院教授,博士生导师,主要从事区域旅游规划与开发研究.
Supported by:
国家自然科学基金项目“西南陆疆边境跨境旅游发展空间格局、机制及模式研究”(41671147);云南哲社基地重点项目“云南省旅游景区优化布局与管理改革研究”(JD2017ZD02).

摘要/Abstract

摘要： 运用景区密度统计方法与ArcGIS可视化技术揭示A级景区结构时空分异规律,采用地理探测器方法探究其主导影响因素,并以云南省2009、2013、2016年A级景区数据为例进行分析.研究表明:云南省各市(州)A级景区密度时空演化呈现出“滇中密集,南北错落”、“组团集聚,差异发展”的特征;A级景区结构时空分异主要受区域交通因素、人口集聚因素、经济发展因素以及开放水平因素等的影响;且不同年份同一因素的作用力度也不同.

关键词: 景区密度, 时空分异, 地理探测器, 主导因素, 区域旅游发展

Abstract: In this paper,the statistical method of scenic spot density and ArcGIS visualization technology are used to reveal the temporal and spatial differentiation of A-level scenic spot structure. The dominant factors are explored by using geographical detector. The data of A-level scenic spots in 2009, 2013 and 2016 in Yunnan Province are taken as an example. The results found that the spatial-temporal evolution of density in A-level scenic spot in Yunnan has showed some characteristics: the A-level scenic spots are dense in central Yunnan. They are different in the south and north of Yunnan Province. “These scenic spots gather and develop, but the speed of development in different cities and states is inconsistent.”The main factors are traffic differentiation factors, population agglomeration factors, economic development factors and openness factors.Their forces vary over time and in different regions.

Key words: scenic area density, temporal and spatial , geographical detector, leading factor, regional tourism development

中图分类号:

F592.99

张红梅, 明庆忠, 陈慕亚. 省域A级景区密度时空分异的主导因素探析——以云南省为例[J]. 曲靖师范学院学报, 2019, 38(6): 36-43.

Zhang Hongmei, Ming Qingzhong, Chen Muya. Analysis of Spatial and Temporal Variation of A-Level Scenic Spot Density within Provincial Scope and Its Dominant Factors[J]. JOURNAL OF QUJING NORMAL UNIVERSITY, 2019, 38(6): 36-43.

参考文献

[1] Back A, Marjavaara R.Mapping an invisible population:the uneven geography of second-home tourism[J].Tourism Geographies, 2017, 19 (4) :595-611.
[2] Piperoglou J. Identification and definition of regions in Greek tourist planning[J]. Papers in Regional Science, 1967, 18(1):169-176.
[3] Shaw G, Williams A M, Shaw G, et al. Tourism and tourism spaces.[J]. Sage, 2004,311(1):246-255.
[4] Mings R C, Mchugh K E. The spatial configuration of travel to Yellowstone National Park.[J]. Journal of Travel Research, 2016, 30(4):38-46.
[5]Dietvorst A G J,Ashworth G J. Tourist behaviour and the importance of time-space analysis.[J]. Tourism & Spatial Transformations,1995,01(1):163-181.
[6] Papatheodorou A. Exploring The Evolution of Tourism Resorts[J]. Annals of Tourism Research, 2004, 31(1):219-237.
[7] Lundgren J O J. The tourist frontier of Nouveau Quebec: functions and regional linkages.[J]. Tourism Review, 2013, 37(2):10-16.
[8] Blasco D, Guia J, Prats L.Tourism destination zoning in mountain regions:a consumer-based approach[J].Tourism Geographies, 2014, 16 (3) :512-528.
[9] Balaguer J , Pernías, José C. Relationship between spatial agglomeration and hotel prices. Evidence from business and tourism consumers[J]. Tourism Management, 2013,36(Complete):391-400.
[10] Vasiliadis C A, Kobotis A.Spatial analysis-an application of nearest-neighbour analysis to tourism locations in Macedonia[J].Tourism Management, 1999, 20 (1) :141-148.
[11] Tang B X, Shi F, Liu S Q. Tourism in the Northwestern Part of Sichuan Province, PR China[J]. Geojournal, 1990, 21(1-2):155-159.
[12] 文连阳,许春晓.我国红色旅游产业梯度与空间结构研究[J].吉首大学学报(社会科学版),2014,35(05):54-60.
[13] 朱竑,陈晓亮.中国A级旅游景区空间分布结构研究[J].地理科学,2008(5):607-615.
[14] 谢志华,吴必虎.中国资源型景区旅游空间结构研究[J].地理科学,2008,28(6):748-753.
[15] 刘大均,谢双玉,陈君子,等.武汉城市圈旅游景区空间结构分形研究[J].长江流域资源与环境,2013,22(10):1276-1281.
[16] 郭向阳,明庆忠,穆学青,等.云南省高等级旅游景区空间结构特征及其时空演变[J].陕西师范大学学报(自然科学版),2017,45(2):88-95.
[17] 吴春涛,李隆杰,何小禾,等.长江经济带旅游景区空间格局及演变[J].资源科学,2018,40(6):1196-1208.
[18] 程海峰,胡文海.池市(州)A级旅游景区空间结构[J].地理科学,2014,34(10):1275-1280.
[19] 关中美,陈志超,顾羊羊.焦作市旅游景区空间结构及优化策略研究[J].湖南师范大学自然科学学报,2013,36(4):88-92.
[20] 刘大均,谢双玉,陈君子,等.基于分形理论的区域旅游景区系统空间结构演化模式研究——以武汉市为例[J].经济地理,2013,33(4):155-160.
[21] 许志晖,戴学军,庄大昌,等.南京市旅游景区景点系统空间结构分形研究[J].地理研究,2007(1):132-140.
[22] 郭向阳,明庆忠,吴建丽,等.云南省区域旅游空间结构演变研究[J].山地学报,2017,35(1):78-84.
[23] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134.
[24] 王智勇.人口集聚与区域经济增长——对威廉姆森假说的一个检验[J].南京社会科学,2018(3):60-69.
[25] 吕立刚,隋雪艳,汪翔,等.江苏省土地城镇化的空间分异及其主导因素探测[J].人文地理,2018,33(4):88-94+112.
[26] 殷江滨, 黄晓燕, 洪国志, 等. 交通通达性对中国城市增长趋同影响的空间计量分析[J]. 地理学报, 2016, 71(10):1767-1783.
[27] 朱雁春,刘新有,曹洪华.云南省区域经济时空演变与区间关联分析[J].资源开发与市场,2014,30(10):1162-1165.
[28] 王敏正.传统资源观的反思与新资源观的构建[J].云南师范大学学报(哲学社会科学版),2008(1):31-35.

省域A级景区密度时空分异的主导因素探析——以云南省为例

Analysis of Spatial and Temporal Variation of A-Level Scenic Spot Density within Provincial Scope and Its Dominant Factors

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