| “流空间”视角下粤港澳大湾区空间布局分级特征研究 |
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| 引用本文： | 杨思蓓,胡志华.“流空间”视角下粤港澳大湾区空间布局分级特征研究[J].上海海事大学学报,2020,41(1):93-99. |
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| 作者姓名： | 杨思蓓 胡志华 |
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| 作者单位： | 上海海事大学物流科学与工程研究院,上海201306;上海海事大学物流科学与工程研究院,上海201306 |
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| 基金项目： | 国家自然科学基金（71871136） |
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| 摘 要： | 为加快粤港澳大湾区区域一体化进程,基于“流空间”视角,以粤港澳大湾区11个核心城市为研究对象,从客运流、经济流、信息流三个维度建立数理统计模型,分析粤港澳大湾区的交通、物流和经济信息化水平,并综合运用Jenks自然断裂点法和Moran散点图对粤港澳大湾区进行空间布局分级特征研究。研究结果表明:粤港澳大湾区有两个增长极——广州和深圳;粤港澳大湾区以珠江为界,珠江东西两岸分级明显;港珠澳大桥的连通有助于加强流要素空间互动,发挥更强的区域辐射和带动作用,扩大H-H连绵区的分布范围。
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| 关 键 词： | 粤港澳大湾区 流空间 空间分级 |
| 收稿时间： | 2019/3/18 0:00:00 |
| 修稿时间： | 2019/4/29 0:00:00 |
Research on spatial distribution and classification characteristics of Guangdong-Hong Kong-Macao Greater Bay Area from perspective of space of flows |
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| yangsibei and huzhihua.Research on spatial distribution and classification characteristics of Guangdong-Hong Kong-Macao Greater Bay Area from perspective of space of flows[J].Journal of Shanghai Maritime University,2020,41(1):93-99. |
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| Authors: | yangsibei and huzhihua |
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| Institution: | shanghai maritime university |
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| Abstract: | In order to speed up the process of regional integration of Guangdong-Hong Kong-Macao Greater Bay Area(GBA in short),based on the‘space of flows’perspective,11 core cities of GBA are taken as the research object,and a mathematical and statistical model is established from three dimensions of passenger flow,economic flow and information flow.The traffic,logistics and economic information level of GBA are analyzed.The Jenks natural break point method and the Moran scatter point map are comprehensively used to study the spatial distribution and classification characteristics of GBA.Research results indicate that:there are two growth poles named Guangzhou and Shenzhen in GBA;GBA is bounded by the Pearl River,and the east and west sides of the Pearl River are clearly classified;the connection of Hong Kong-Zhuhai-Macao Bridge helps to strengthen the spatial interaction of flow elements,play a stronger role in regional radiation and driving,and expand the distribution of H-H contiguous area. |
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| Keywords: | Guangdong Hong Kong Macao Greater Bay Area space of flow spatial distribution and classification |
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