[1]何小芊a,厉 峰b.基于地理网格的中国5A级旅游景区空间分布及影响因素[J].山地学报,2024,(4):507-518.[doi:10.16089/j.cnki.1008-2786.000841]
　HE Xiaoqiana,LI Fengb.Spatial Distribution and Influencing Factors of China's 5A-Rated Tourist Attractions Based on Geographic Grid[J].Mountain Research,2024,(4):507-518.[doi:10.16089/j.cnki.1008-2786.000841]
点击复制

基于地理网格的中国5A级旅游景区空间分布及影响因素
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2024年第4期
页码:
507-518
栏目:
山区发展
出版日期:
2024-07-25

文章信息/Info

Title:
Spatial Distribution and Influencing Factors of China's 5A-Rated Tourist Attractions Based on Geographic Grid
文章编号:
1008-2786-(2024)4-507-12
作者:
何小芊a; 厉 峰b
(东华理工大学 a.经济与管理学院,b.地球科学学院, 南昌 330013)
Author(s):
HE Xiaoqiana;  LI Fengb
(a. School of Economics and Management; b. School of Earth Sciences, East China University of Technology, Nanchang 330013, China)
关键词:
5A级旅游景区;  空间分布;  影响因素;  地理网格
Keywords:
5A-rated tourist attraction;  spatial distribution;  influencing factor;  geographic grid
分类号:
K909
DOI:
10.16089/j.cnki.1008-2786.000841
文献标志码:
A
摘要:
中国A级旅游景区体系是衡量旅游质量的标准。A级景区体系的空间分布是旅游活动地理特性的直观反映,其独特的空间分布格局彰显了背后复杂的驱动机制。然而,关于5A级旅游景区空间分布的前期研究多集中于社会经济因素,缺乏基于地理环境因素的系统分析,较少采用如地理网格这样的高度定量化方法。本文以中国318个5A级旅游景区为研究对象,运用地理网络数据分析景区空间分布特征及其影响因素。结果表明:(1)中国5A级旅游景区的空间分布形态为集聚型,主要分布在“胡焕庸线”以东地区,密集分布区呈现出“一核四区”的空间格局,具有沿长江干流、地形二级阶梯与三级阶梯交界带集中分布的空间特征。(2)在影响5A级旅游景区空间分布的地理环境因素中,空间异质性由强到弱分别为经济、城镇、生态、道路、气温、人口、降水,其中气温、人口因素为负向影响。(3)中国5A级旅游景区分布呈现出在经济发达、交通便利、生态优良地区聚集的特征,自然地理环境因素中的生态环境质量对5A级旅游景区空间分布的影响起主导作用,社会经济环境因素中的经济发展水平是影响5A级旅游景区空间分布的根本性因素。本研究可为5A级旅游景区的评定与管理提供科学依据,为促进优质旅游资源向优质旅游产品转化提供有益参考。
Abstract:
The A-Rated Tourist Attraction System is a national evaluation and management system for tourist attractions in China, with 5A being the highest level. The spatial distribution of A-rated tourist attractions is not only a visual reflection of the geographical characteristics of tourism activities, but its unique spatial pattern embodies the complex driving mechanism behind it. Most of preceding studies on the spatial distribution of 5A-rated tourist attractions concerned about socio-economic aspects, but neglected a systematic analysis based on a geographic environmental context, and seldom used highly quantitative geographical methods such as geographic grids.
In this study, it took 318 5A-rated tourist attractions of China as the research object, and utilized geographic grid data to analyze their spatial distribution characteristics and influencing factors.
(1)The spatial pattern of 5A-rated tourist attractions was agglomerative, mainly distributed in the areas to the east of the Hu Huanyong Line. The areas with densely populated 5A-rated tourist attractions exhibited a spatial pattern characterized as “one core and four zones”, featuring in a concentration along the main course of the Yangtze River and along the transitional belt where the Chinese Second-Step Terrain meets the Third-Step Terrain.
(2)There were 7 geographical environmental factors governing the spatial distribution of 5A-rated tourist attractions. Their spatial heterogeneity levels could be ranked in descending order: economy, town, ecology, roads, temperature, population, and precipitation, with temperature and population factors exerting negative impacts.
(3)The distribution of 5A-rated tourist attractions demonstrated a tendency to cluster in regions characterized by robust economies, traffic accessibility, and excellent ecological conditions. The ecological environment quality among all geo-environmental factors played a leading role in influencing the spatial distribution of 5A-rated tourist attractions. The economic development level among all socio-economic environmental factors was the fundamental factor affecting the spatial distribution of 5A-rated tourist attractions.
This study provides scientific basis for the assessment and management of 5A-rated tourist attractions, and provide useful references for promoting the transformation of high-quality tourism resources into high-quality tourism products.

参考文献/References:

[1] 吴清, 李细归, 吴黎, 等. 湖南省A级旅游景区分布格局及空间相关性分析[J]. 经济地理, 2017, 37(2): 193-200. [WU Qing, LI Xigui, WU Li, et al. Distribution pattern and spatial correlation of A-grade tourist attractions in Hunan Province [J]. Economic Geography, 2017, 37(2): 193-200] DOI: 10.15957/j.cnki.jjdl.2017.02.026
[2] 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, 28(5): 607-615. [ZHU Hong, CHEN Xiaoliang. Space distribution structure of A-gradescienic spot in China [J]. Scientia Geographica Sinica, 2008, 28(5): 607-615]
[3] 王洪桥, 袁家冬, 孟祥君. 东北地区A级旅游景区空间分布特征及影响因素[J]. 地理科学, 2017, 37(6): 895-903. [WANG Hongqiao, YUAN Jiadong, MENG Xiangjun. Spatial distribution and its influencing factors of level-A scenic spots in northeast China [J]. Scientia Geographica Sinica, 2017, 37(6): 895-903] DOI: 10.13249/j.cnki.sgs.2017.06.011
[4] 李鹏, 虞虎, 王英杰. 中国3A级以上旅游景区空间集聚特征研究[J]. 地理科学, 2018, 38(11): 1883-1891. [LI Peng, YU Hu, WANG Yingjie. Spatial agglomeration characteristics of from 3A-class to 5A-class scenic spots in China [J]. Scientia Geographica Sinica, 2018, 38(11): 1883-1891] DOI: 10.13249/j.cnki.sgs.2018.11.016
[5] 刘敏, 郝炜. 山西省国家A级旅游景区空间分布影响因素研究[J]. 地理学报, 2020, 75(4): 878-888. [LIU Min, HAO Wei. Spatial distribution and its influencing factors of national A-level tourist attractions in Shanxi Province [J]. Acta Geographica Sinica, 2020, 75(4): 878-888] DOI: 10.11821/dlxb202004015
[6] 申怀飞, 郑敬刚, 唐风沛, 等. 河南省A级旅游景区空间分布特征分析[J]. 经济地理, 2013, 33(2): 179-183. [SHEN Huaifei, ZHENG Jinggang, TANG Fengpei, et al. Spatial distribution of A-grade tourist attractions in Henan Province [J]. Economic Geography, 2013, 33(2): 179-183] DOI: 10.15957/j.cnki.jjdl.2013.02.028
[7] 贾垚焱, 胡静, 刘大均, 等. 长江中游城市群A级旅游景区空间演化及影响机理[J]. 经济地理, 2019, 39(1): 198-206. [JIA Yaoyan, HU Jing, LIU Dajun, et al. Spatial evolution and influence mechanism of A-level scenic spots in urban agglomeration in the middle reaches of the Yangtze River [J]. Economic Geography, 2019, 39(1): 198-206] DOI: 10.15957/j.cnki.jjdl. 2019.01.024
[8] 朱永凤, 瓦哈甫·哈力克, 卢龙辉. 基于GWR模型的中国5A级旅游景区空间异质性分析[J]. 华中师范大学学报(自然科学版), 2017, 51(3): 416-422. [ZHU Yongfeng, HALIKE Wahap, LU Longhui. Spatial differentiation and its influencing factors of national 5A tourist attractions based on GWR in China [J]. Journal of Central China Normal University(Natural Sciences), 2017, 51(3): 416-422] DOI: 10.19603/j.cnki.1000-1190.2017.03.022
[9] 张宇硕, 沈雪瑞, 眭任静, 等. 黄河流域A级旅游景区空间格局及其影响因素的多尺度分析[J]. 中国沙漠, 2022, 42(6): 103-115. [ZHANG Yushuo, SHEN Xuerui, SUI Renjing, et al. Multi-scale analysis of spatial pattern and the influencing factors of A-grade scenic spots in the Yellow River Basin [J]. Journal of Desert Research, 2022, 42(6): 103-115] DOI: 10.7522/j.issn.1000-694X.2022.00054
[10] 袁露, 杨彦平, 王继建. 中国5A级旅游景区发展特征研究[J]. 华中师范大学学报(自然科学版), 2014, 48(2): 301-306. [YUAN Lu, YANG Yanping, WANG Jijian. A study on the development characteristics of the national 5A tourist attractions in China [J]. Journal of Central China Normal University(Natural Sciences), 2014, 48(2): 301-306] DOI: 10.19603/j.cnki.1000-1190.2014.02.029
[11] 张洪, 石婷婷, 鲍涵. 中国5A级旅游景区空间结构特征研究[J]. 华侨大学学报(哲学社会科学版), 2019(4): 80-90. [ZHANG Hong, SHI Tingting, BAO Han. The spatial structure characteristics of China's 5A-level tourist attractions [J]. Journal of Huaqiao University(Philosophy & Social Sciences), 2019(4): 80-90] DOI: 10.16067/j.cnki.35-1049/c.2019.04.010
[12] 李会琴, 李丹, 董晓晴, 等. 中国5A级景区分布及网络关注度空间格局研究[J]. 干旱区资源与环境, 2019, 33(10): 178-184. [LI Huiqin, LI Dan, DONG Xiaoqing, et al. Spatial patterns of 5A-level tourist attractions and their network attention degrees in China [J]. Journal of Arid Land Resources and Environment, 2019, 33(10): 178-184] DOI: 10.13448/j.cnki.jalre. 2019.305
[13] 徐凡, 尤玮, 周年兴, 等. 基于百度指数的网络空间关注时空分布研究——以长三角5A级景区为例[J]. 资源开发与市场, 2016, 32(4): 489-493. [XU Fan, YOU Wei, ZHOU Nianxing, et al. Tourist attention based on Baidu index of network: Temporal and space distribution: Taking 5A grade scenic spot in Changjiang River Delta as an example [J]. Resource Development & Market, 2016, 32(4): 489-493] DOI: 10.3969/j.issn.1005-8141.2016.04.021
[14] 胡宇娜, 梅林, 陈妍. 中国5A级旅游景区网站质量测度及空间特征研究[J]. 地理科学, 2016, 36(4): 548-554. [HU Yuna, MEI Lin, CHEN Yan. Quality assessment and spatial feature of portal websites in China's 5A rated tourism attraction [J]. Scientia Geographica Sinica, 2016, 36(4): 548-554] DOI: 10.13249/j.cnki.sgs.2016.04.008
[15] 袁诚, 侯哲灏, 陈景祺. 中国5A级景区分布特征及其经济效应探讨[J]. 地域研究与开发, 2015, 34(4): 74-79. [YUAN Cheng, HOU Zhehao, CHEN Jingqi. Distribution features and economic effect of national 5A tourist attractions in China [J]. Areal Research and Development, 2015, 34(4): 74-79]
[16] 李爽, 程承旗. 基于地理网格的历史地理数据组织方法研究[J]. 中国历史地理论丛, 2022, 37(4): 5-11. [LI Shuang, CHENG Chengqi. Research on the organization method of historical geographic data based on geographic grid [J]. Journal of Chinese Historical Geography, 2022, 37(4): 5-11]
[17] 李江苏, 王晓蕊, 李小建. 中国传统村落空间分布特征与影响因素分析[J]. 经济地理, 2020, 40(2): 143-153. [LI Jiangsu, WANG Xiaorui, LI Xiaojian. Spatial distribution characteristics and influencing factors of Chinese traditional villages [J]. Economic Geography, 2020, 40(2): 143-153] DOI: 10.15957/j.cnki.jjdl.2020.02.016
[18] 刘振锋, 薛东前, 庄元, 等. 文化产业空间尺度效应研究——以西安市为例[J]. 地理研究, 2016, 35(10): 1963-1972. [LIU Zhenfeng, XUE Dongqian, ZHUANG Yuan, et al. Space scale effects of cultural industries: A case study of Xi'an [J]. Geographical Research, 2016, 35(10): 1963-1972] DOI: 10.11821/dlyj201610014
[19] 凡来, 张大玉. 基于MGWR的华北地区传统村落空间分异特征及影响因素研究[J]. 中国园林, 2022, 38(10): 56-61. [FAN Lai, ZHANG Dayu. Study on spatial differentiation characteristics and influencing factors of traditional villages in north China based on MGWR model [J]. Chinese Landscape Architecture, 2022, 38(10): 56-61] DOI: 10.19775/j.cla.2022.10.0056
[20] 朱文洁, 董朝阳. 中国5A级旅游景区时空演化及影响因素研究[J]. 世界科技研究与发展, 2016, 38(5): 1084-1090. [ZHU Wenjie, DONG Chaoyang. Analysis on spatio-temporal evolution and influencing factors of national 5A tourist attractions in China [J]. World Sci-Tech R&D, 2016, 38(5): 1084-1090] DOI: 10.16507/j.issn.1006-6055.2016.05.032
[21] 关中美, 王同文, 职晓晓. 中原经济区传统村落分布的时空格局及其成因[J]. 经济地理, 2017, 37(9): 225-232. [GUAN Zhongmei, WANG Tongwen, ZHI Xiaoxiao. Temporal-spatial pattern differentiation of traditional villages in central plains economic region [J]. Economic Geography, 2017, 37(9): 225-232] DOI: 10.15957/j.cnki.jjdl.2017.09.028
[22] 国家质量监督检验检疫总局. 旅游景区质量等级的划分与评定(GB/T 17775-2003)[EB/OL]. https://whhlyt.hunan.gov.cn/xxgk2019/zcwj/zcfg_115485/201907/t20190703_5370541.html [2023-12-12]. [General Administration of Quality Supervision, Inspection and Quarantine of China. Classification and evaluation of quality levels of tourist attractions(GB/T 17775-2003)[EB/OL]. https://whhlyt.hunan.gov.cn/xxgk2019/zcwj/zcfg_115485/201907/t20190703_5370541.html [2023-12-12]
[23] 蔚丹丹, 李山, 张粮锋, 等. 旅游气候舒适性评价:模型优化与中国案例[J]. 旅游学刊, 2021, 36(5): 14-28. [YU Dandan, LI Shan, ZHANG Liangfeng, et al. Evaluate tourism climate using modified holiday climate index in China [J]. Tourism Tribune, 2021, 36(5): 14-28] DOI: 10.19765/ j.cnki.1002-5006.2021.05.007
[24] 于江霞. 中国公路交通与经济发展空间差异及相关性分析[J]. 交通运输系统工程与信息, 2015, 15(1): 11-16. [YU Jiangxia. The spatial difference and correlation analysis of highway development and economic development in China [J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(1): 11-16] DOI: 10.16097/j.cnki.1009-6744. 2015.01.002
[25] 何小芊, 王晓伟, 熊国保, 等. 中国国家地质公园空间分布及其演化研究[J]. 地域研究与开发, 2014, 33(6): 86-91. [HE Xiaoqian, WANG Xiaowei, XIONG Guobao, et al. Study on the spatial distribution and its evolution of national geoparks in China [J]. Areal Research and Development, 2014, 33(6): 86-91]
[26] 杨懿, 刘小迪, 时蓓蓓. 旅游依赖型地区经济发展存在的问题及建议[J]. 宏观经济管理, 2019(3): 84-90. [YANG Yi, LIU Xiaodi, SHI Beibei. Problems and suggestions of economic development in tourism dependent regions [J]. Macroeconomic Management, 2019(3): 84-90] DOI: 10.19709/j.cnki.11-3199/f.2019.03.015

相似文献/References:

[1]张俊思,徐薇涵,袁大刚*,等.湿润季风气候条件下芒硝矿区土壤盐分空间分布特征[J].山地学报,2016,(02):157.[doi:10.16089/j.cnki.1008-2786.000113]
　ZHANG Junsi,XU Weihan,YUAN Dagang,et al.Spatial Distribution of Soil Salinity in the Mirabilite Area under the Humid Monsoon Climate Condition[J].Mountain Research,2016,(4):157.[doi:10.16089/j.cnki.1008-2786.000113]
[2]汤家法,胥忞旻,张雅茜.北川震后重建居民点存在的问题与调控对策[J].山地学报,2016,(02):242.[doi:10.16089/j.cnki.1008-2786.000124]
　TANG Jiafa,XU Minmin,ZHANG Yaxi.Some Problems and Its Adjustment Measures of Reconstructed Settlements after Earthquake in Beichuan[J].Mountain Research,2016,(4):242.[doi:10.16089/j.cnki.1008-2786.000124]
[3]麦积山,郑江坤*,赵廷宁,等.北川震后滑坡体表层土壤颗粒组成及团聚体空间变化特征[J].山地学报,2019,(01):30.[doi:10.16089/j.cnki.1008-2786.000396]
　MAI Jishan,ZHENG Jiangkun*,ZHAO Tingning,et al.Spatial Variability of Post-shock Surface Soil Aggregates and Particle Composition in the Landslide Area of Beichuan County, South-western China[J].Mountain Research,2019,(4):30.[doi:10.16089/j.cnki.1008-2786.000396]
[4]张梦旭,刘 蔚*,朱 猛,等.黑河上游山地土壤容重分布特征及影响因素[J].山地学报,2019,(02):198.[doi:10.16089/j.cnki.1008-2786.000413]
　ZHANG Mengxu,LIU Wei*,ZHU Meng,et al.Patterns and Environmental Controls of Soil Bulk Density in the Mountainous Regions of the Upper Heihe River Basin, China[J].Mountain Research,2019,(4):198.[doi:10.16089/j.cnki.1008-2786.000413]
[5]李 军,赵玉竹,邓 梅.基于DEM的山地地理可照时数空间分布估算统计模型--以重庆为例[J].山地学报,2019,(02):284.[doi:10.16089/j.cnki.1008-2786.000422]
　LI Jun,ZHAO Yuzhu,DENG Mei.The Statistical Model for Estimating Spatial Distribution of Possible Sunshine Duration Based on DEM in Mountain Area: A Case Study in Chongqing, China[J].Mountain Research,2019,(4):284.[doi:10.16089/j.cnki.1008-2786.000422]
[6]胡 震,赵翠薇*,李朝仙,等.喀斯特高原峡谷区少数民族村寨空间分布格局及影响因素研究--以贵州省威宁县为例[J].山地学报,2019,(04):575.[doi:10.16089/j.cnki.1008-2786.000449]
　HU Zhen,ZHAO Cuiwei*,LI Chaoxian,et al.Spatial Distribution Pattern and Influencing Factorsof Ethnic Villages in Karst Plateau Canyon Area:A Case Study of Weining County, Guizhou, China[J].Mountain Research,2019,(4):575.[doi:10.16089/j.cnki.1008-2786.000449]
[7]何小芊,刘 策.中国国家地质公园空间可达性分析[J].山地学报,2019,(04):602.[doi:10.16089/j.cnki.1008-2786.000451]
　HE Xiaoqian,LIU Ce.Analysis on Spatial Accessibility of China's National Geopark[J].Mountain Research,2019,(4):602.[doi:10.16089/j.cnki.1008-2786.000451]
[8]任瑞萍a,b.五台山风景名胜区旅游流空间结构研究[J].山地学报,2020,(3):461.[doi:10.16089/j.cnki.1008-2786.000525]
　REN Ruiping a,b.Study on Spatial Structure of Tourist Flows in the Wutai Mountains Scenic Area of China[J].Mountain Research,2020,(4):461.[doi:10.16089/j.cnki.1008-2786.000525]
[9]王兆峰,李 琴.长征沿线红色文化遗产空间分布特征及旅游高质量发展[J].山地学报,2022,(4):581.[doi:10.16089/j.cnki.1008-2786.000695]
　WANG Zhaofeng,LI Qin.Spatial Distribution of Red Cultural Heritage and High-Quality Tourism Development along the Long March[J].Mountain Research,2022,(4):581.[doi:10.16089/j.cnki.1008-2786.000695]
[10]刘庆果,孙丕苓*,王世清,等.三峡库区(重庆段)乡村地名文化景观的空间分布特征及成因[J].山地学报,2024,(1):108.[doi:10.16089/j.cnki.1008-2786.000808]
　LIU Qingguo,SUN Piling*,WANG Shiqing,et al.Spatial Distribution and Genesis of the Cultural Landscape of Village Names in the Chongqing Section of the Three Gorges Reservoir Area of China[J].Mountain Research,2024,(4):108.[doi:10.16089/j.cnki.1008-2786.000808]

备注/Memo

备注/Memo:
收稿日期(Received date): 2024- 01- 04; 改回日期(Accepted date): 2024- 07-11
基金项目(Foundation item): 江西省社会科学基金项目(24GL20); 江西省高校人文社会科学重点研究基地项目(JD20004)。[Social Science Foundation of Jiangxi Province(24GL20); Bidding Project of Key Research Base of Humanities and Social Sciences in Jiangxi Province(JD20004)]
作者简介(Biography): 何小芊(1981-),男,江西瑞昌人,博士,教授,主要研究方向:区域旅游开发与管理。[HE Xiaoqian(1981-), male, born in Ruichang, Jiangxi province, Ph.D., professor, research on regional tourism development and management] E-mail: ecithxq@163.com
更新日期/Last Update: 2024-07-30