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Research on Geospatial Association of the Urban Agglomeration around the South China Sea Based on Marine Traffic Flow

机译:基于海洋交通流量的南中国海城市群地理空间关联研究

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Studying the geospatial association within the urban agglomeration around the South China Sea can provide a basis for understanding the internal development of the China-Association of Southeast Asian Nations (ASEAN) Free Trade Area (CAFTA) and provide ideas for promoting economic and trade cooperation among cities in the region. The purpose of this paper was to reflect the characteristics of the urban agglomeration association network based on big traffic data. Based on trajectory data mining and complex network analysis methods, the automatic identification system (AIS) data was used to construct the traffic flow association network of the urban agglomeration around the South China Sea and then analysis and evaluation were carried out in three aspects: Spatial distribution characteristics of marine traffic flow, analysis of spatial hierarchy and internal difference analysis of the urban agglomeration. The results show the following: (1) The distribution of marine traffic flow within the urban agglomeration around the South China Sea is characterized by polarization and localization and shows a specific power-law distribution; (2) there is a close relationship within the urban agglomeration and the core urban and the marginal urban agglomerations were apparent; (3) subgroup division of urban agglomeration around the South China Sea shows an evident geographic agglomeration phenomenon and there were significant differences between the level of economic development among subgroups; and (4) relative to static factors such as population size and economic aggregate, dynamic flow of information and capital traffic flow plays a more important role in the spatial correlation between cities. Strengthening the links among the three layers of core-intermediate-edge cities through trade and investment means enhancing cooperation among cities within the urban agglomeration and ultimately promoting sustainable regional development.
机译:研究南中国海附近城市群内的地理空间联系,可以为了解中国-东南亚国家联盟(东盟)自由贸易区(CAFTA)的内部发展提供基础,并为促进双方之间的经贸合作提供思路该地区的城市。本文旨在基于大交通数据来反映城市群联合网络的特征。基于轨迹数据挖掘和复杂网络分析方法,利用自动识别系统(AIS)数据构建南海周边城市群交通流关联网络,然后从三个方面进行分析和评价:空间海洋交通流量的分布特征,空间等级分析和城市群内部差异分析。研究结果表明:(1)南中国海城市群内海洋交通流量的分布具有极化和局部化特征,并呈现出特定的幂律分布; (2)城市群内部关系密切,核心城市群和边缘城市群明显。 (3)南海周边城市群的亚群划分具有明显的地理集聚现象,各亚群之间的经济发展水平存在显着差异; (4)相对于诸如人口规模和经济总量之类的静态因素,信息的动态流和资本交通流在城市之间的空间关联中起着更为重要的作用。通过贸易和投资加强三层核心中级边缘城市之间的联系,意味着加强城市群内各城市之间的合作,最终促进区域可持续发展。

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