基于地理标记照片的山西省游客空间格局及因素分析
A Study of the Spatial Pattern and Factor Analysis of Tourists in Shanxi Province Based on Geographical Marker Photos
DOI: 10.12677/GSER.2017.64025, PDF, HTML, XML, 下载: 1,749  浏览: 7,522 
作者: 芦学良:山西师范大学地理科学学院,山西 临汾
关键词: 山西省空间格局特征地理标记照片Shanxi Province Spatial Distribution Features Geotagging
摘要: 本文立足于旅游地理学的基本理论,利用flickr图片分享网站与去哪网、马蜂窝、携程网站中共享的含地理位置的照片信息和信息文本,结合百度地图拾取系统作为数据源,采集了2008年至2017年中2000张照片中筛选的403张照片。并运用GIS10.3中空间分析法作为主要方法进行可视化表达。绘制了山西省游客空间分布的相关图件,分析表明山西省游客的空间分布格局呈现三个明显特征:第一,山西省游客主要集聚在山西中部北部,空间形态上呈现集中于太行山、吕梁山之间的纵贯全山西省中部的盆地地区。东、中、西三大纵列地形带,游客分布表现出明显的空间差异。第二,呈现沿交通线与知名景区的重叠区域是游客分布的重心区。第三,山西省游客空间过度集中于太原市、大同市、忻州市、晋中市为依托的周边地区,并刨析影响游客分布格局的因素。研究结果还表明临汾市、运城市不是游客空间分布重心,并分析导致该布局的原因提出对应旅游营销策略解决这一问题,对整体上完善山西旅游产业转型升级有一定参考意义。
Abstract: This paper uses Flickr pictures and text message which has shared from the where to go, the hor-net’s nest, CTRIP and Mafengwo Website. Combining Baidu maps pickup system as a data source, 403 photos of 2000 photos screened from 2008 to 2017 were collected and used GIS10.3 in the spatial analysis method as the main method for visual expression. The spatial distribution pattern of tourists in Shanxi province was summarized. First, the overall pattern of Shanxi province is the main tourist gathering in north central Shanxi, space form has concentrated between in Taihang mountain and the central region of the province of Lvliang mountain basin. There are significant spatial differences in East, Middle and West three vertical terrain belts. Second, the overlapping area along the traffic line and the famous scenic area is the center of distribution of tourists. Third, the spatial distribution of tourists in Shanxi province too concentrated in the Taiyuan, Datong, Xinzhou and Jinzhong. Research demonstrates that Linfen City and Yuncheng City are not popular tourist destination among all cities. Analyzing the factors affecting tourists’ distribution, corre-sponding reasons and marketing strategies to solve this problem also is instrumental in the transformation and upgrading of the tourism of Shanxi province as a whole.
文章引用:芦学良. 基于地理标记照片的山西省游客空间格局及因素分析[J]. 地理科学研究, 2017, 6(4): 223-229. https://doi.org/10.12677/GSER.2017.64025

参考文献

[1] 保继刚, 郑海燕, 戴全. 桂林国内客源市场的空间结构演变[J]. 地理学报, 2002, 57(1): 96-99106.
[2] 陆林. 山岳风景区旅游者空间行为研究——兼论黄山与美国黄石公园之比较[J]. 地理学报, 1996, 51(4): 315- 321.
[3] 李春明, 王亚军, 刘尹, 董仁才, 赵景柱. 基于地理参考照片的景区游客时空行为研究[J]. 旅游学刊, 2013(10): 30-36.
[4] 杨兴柱, 蒋锴, 陆林. 南京市游客路径轨迹空间特征研究——以地理标记照片为例[J]. 经济地理, 2014(1): 181- 187.
[5] 黄震方, 袁林旺, 俞肇元, 吴江, 周年兴. 生态旅游区旅游流的时空演变与特征——以盐城麋鹿生态旅游区为例[J]. 地理研究, 2008(1): 55-64.
[6] 胡英浩. 使用GPS轨迹资料推估游客空间分布: 以野柳地质公园为例[D]: [博士学位论文]. 台湾: 台湾大学, 9: 10-16.
[7] Majid, A. 基于地理标签的社会媒体数据挖掘的智能旅游推荐研究[D]: [博士学位论文]. 杭州: 浙江大学, 2012.
[8] Naka, M. 基于社交媒体数据的人类移动模式发现研究[D]: [硕士学位论文]. 长春: 吉林大学, 2016.
[9] Rattic, G.B., et al. (2008) Leveraging Explic-itly Disclosed Location Information to Understand Tourist Dynamics: A Case Study. Journal of Location Based Services, No. 1, 41-56.
[10] Snepenger, D. and Snepenger, M. (1990) Seasonality of Demand. Annab of Tourism Research, 17, 628-630.
[11] Shovaln, I.M. (2007) Sequence Alignment as Method for Hiraian Activity Analysis in Space and Time. Annals of the Association of American Geographers, 282-297.
https://doi.org/10.1111/j.1467-8306.2007.00536.x
[12] Kisilevich, S., Mansmann, F. and Keim, D. (2010) P-DBSCAN: A Density Based Clustering Algorithm for Exploration and Analysis of Attractive Are as using Collections of Geo-Tagged Photos. In: Liao, L., Ed., Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research Application, Association for Computing Machinery, New York, 38.
https://doi.org/10.1145/1823854.1823897
[13] 刘毅, 刘卫东. 理解正在变化的星球地理科学的战略方向[M]. 北京: 科学出版社, 2011.
[14] 刘耀林. 从空间分析到空间决策的思考[J]. 武汉大学学报: 信息科学版, 2007, 2(11).
[15] 何光炜. 提高认识统一思想推动旅游业大发展[J]. 旅游调研, 2004(7): 2-4.
[16] 陆林, 余凤龙. 中国旅游经济差异的空间特征分析[J]. 经济地理, 2005(3): 406-410.
[17] 王华芳. 山西省旅游气候舒适度分析与评价研究[D]: [硕士学位论文]. 太原: 山西大学, 2007.