| 基于POI大数据的京津冀旅游资源空间分异研究 |
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| 引用本文： | 张坤,苏欣蕾,苏凯红,王颖.基于POI大数据的京津冀旅游资源空间分异研究[J].地域研究与开发,2021,40(1):103-108,114. |
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| 作者姓名： | 张坤 苏欣蕾 苏凯红 王颖 |
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| 作者单位： | 南开大学 旅游与服务学院,天津300350;南开大学 旅游与服务学院,天津300350;南开大学 旅游与服务学院,天津300350;南开大学 旅游与服务学院,天津300350 |
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| 基金项目： | 国家自然科学基金青年项目(51608278);中央高校基本科研业务费专项基金项目(63202076)。 |
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| 摘 要： | 采集京津冀地区的高德地图POI旅游景点数据,利用Geoda和ArcGIS软件对其旅游景点的空间分异特征进行解析,并依次对照自然(地形、水文)、基础建设(交通、基础设施)、社会发展(GDP、人口)3类6种数据进行相关性分析。结果表明:(1)京津冀旅游景点空间聚集特征突出,以“京津”为聚集中心的空间分异明显,景点总体密度呈“多中心,层级发展”分布。(2)自然属性类的旅游景点对地形、水文的依附性较强。其中3级分类中的宗教文化景点、城市公园和城市广场与水文的依托关系最为紧密。(3)基础设施方面,现代人文吸引物类旅游景点与交通关系最为密切;旅游景点供给与城乡基础设施供给不完全匹配,尤其是在县级城市及乡镇聚居点,基础设施供给能力强于旅游景点供给能力。(4)旅游景点分布和地区经济优势产业有关,天津滨海新区等地区旅游景点相对稀少,未来其旅游发展有较大潜力。
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| 关 键 词： | POI 旅游景点 相关性分析 空间分异 京津冀地区 |
Research on Distribution Characteristic of Tourism Resource in Beijing-Tianjin-Hebei Region Based on POI Big Data |
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| ZHANG Kun,SU Xinlei,SU Kaihong,WANG Ying.Research on Distribution Characteristic of Tourism Resource in Beijing-Tianjin-Hebei Region Based on POI Big Data[J].Areal Research and Development,2021,40(1):103-108,114. |
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| Authors: | ZHANG Kun SU Xinlei SU Kaihong WANG Ying |
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| Institution: | (College of Tourism and Service Management, Nankai University, Tianjin 300350, China) |
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| Abstract: | Taking the big data of POI with tourism attributes in AMAP as the tourism resource,this study summarized the distribution characteristic of tourism attractions in Beijing-Tianjin-Hebei region by applying Geoda and ArcGIS software,and explored how natural conditions(topography,hydrology),urban infrastructure(transportation,service infrastructure),social and economic development(GDP,population)affect the distribution.The results showed that,firstly,“multicenter and in a hierarchy”is the obviously characteristic of the tourism attractions in Beijing-Tianjin-Hebei region.Secondly,the distribution of natural tourism attractions highly related to the topography and hydrology,specially,the religious and cultural tourism attractions,urban parks and urban squares are mostly located nearby river.Thirdly,modern humanistic attractions hold the best accessibility with transportation;in addition,the quantity of tourism attractions in towns and villages is not fully matched to the supply of infrastructure.Fourthly,in the area which traditional industrial is the economic dominant or new economic districts,e.g.Binhai new district,tourism attractions are relatively scarce,but they hold great potential for the development of industrial tourism. |
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| Keywords: | POI tourism attractions correlation analysis spatial disparity Beijing-Tianjin-Hebei region |
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