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粤港澳大湾区水路客运网络特征
引用本文:宋旭妍,彭甜甜,张高军.粤港澳大湾区水路客运网络特征[J].热带地理,2022,42(2):247-255.
作者姓名:宋旭妍  彭甜甜  张高军
作者单位:暨南大学 深圳旅游学院,广东 深圳 518053
基金项目:国家自然科学基金(41801124);广州市哲学社会科学发展“十三五”规划2020年度一般课题(2020GZYB25)。
摘    要:以粤港澳大湾区水路客运班线为数据来源,运用复杂网络分析方法,分析水路客运网络的基本特征,评估其小世界特性与无标度特征,分析各节点的重要性,测试其鲁棒性与脆弱性,结果发现:1)大湾区水路客运网络基本健全,节点之间能够自由流动,但网络的层级单一,可达性较低的节点占据多数;2)大湾区水路客运网络具有部分小世界网络特性和无标度特性,节点分布呈现马太效应;3)深圳蛇口港在复杂网络中的综合重要性最为突出,比较重要的节点还有香港中港码头、香港国际机场、珠海九州港、澳门外港;4)大湾区南部的水路客运网络相比北部发达,东部比西部发达,空间发展不均衡;5)大湾区水路客运网络具有鲁棒性,生存能力较强,但网络发育不够完善,稳定性较差,难以经受蓄意攻击。整体上,大湾区水路客运网络还有较大的优化提升空间,应加大核心节点保障能力,增强边缘节点的连通性,提升大湾区北部的水路客运能力。

关 键 词:水路客运网络  复杂网络分析  可达性  交通网络  粤港澳大湾区  
收稿时间:2021-01-26

The Waterage Passenger Transportation Network in the Guangdong-Hong Kong-Macao Greater Bay Area
Song Xuyan,Peng Tiantian,Zhang Gaojun.The Waterage Passenger Transportation Network in the Guangdong-Hong Kong-Macao Greater Bay Area[J].Tropical Geography,2022,42(2):247-255.
Authors:Song Xuyan  Peng Tiantian  Zhang Gaojun
Institution:Shenzhen Tourism College, Jinan University, Shenzhen 518053, China
Abstract:Taking the waterage passenger transportation lines in the Guangdong-Hong Kong-Macao Great Bay Area (GBA) as the data source to study its complex network characteristics can enrich the traffic geography research based on waterage passenger transportation and serve the construction of the GBA. The findings are as follows. Firstly, the waterage passenger transportation network (WPTN) in the GBA is basically sound with nodes flowing freely, but the network lacks in hierarchy as nodes with low accessibility occupy the majority and is overally dispersed with low-level modularization. The complex network can be divided into two communities, of which the nodes with the highest degree are China Ferry Terminal (CFT) in Hong Kong, Hong Kong International Airport (HKIA) and Shekou Port (SP) in Shenzhen, and the nodes most closely connected are HK Macao Ferry Terminal (HMFT) and Macao Outer Harbour Ferry Terminal (MOHFT). Secondly, the WPTN in the Great Bay Area has characteristics of some small world network and scale-free, of which the node distribution presents the "Matthew Effect". The average path length of the network is small, and the clustering coefficient is also small. CFT, HKIA and SP are the head nodes of the WPTN, which have the most growing feature and priority connection feature in the network. On the other side, it also shows that the internal differences of the complex network are large and the overall connectivity quality needs to be improved. Thirdly, SP is the most important node in the complex network , as its various indicators are all at the forefront. The positions of CFT, HKIA, Jiuzhou Port in Zhuhai and MOHFT in the complex network are also very important, and they have outstanding advantages in a single indicator respectively. Fourthly, from the perspective of spatial structure, the waterage passenger transportation capacity in the south of the GBA is more developed than that in the north, and that in the east is more developed than that in the west. And finally, the WPTN in the GBA has robustness and strong survivability, but the network development is not perfect enough with greater vulnerability, as the network connectivity depends too much on the core nodes and the stability is poor. After attacking the core nodes of the network, half of the remaining nodes will be greatly affected, and even some nodes become isolated ones. After calculation, there are only 31.34% of the complex network variables remained after event 3. In order to optimize the WPTN in the Great Bay Area, the suggestions are list below. First, for various core nodes, such as CFT, HKIA, SP and MOHFT, as they play important roles in the network, it is necessary to strengthen support to ensure their service capacity. Second, for edge nodes, such as Lianhuashan Port and Nansha Port in Guangzhou, Shunde Port and Gaoming Port in Foshan, we can make full use of the attraction and radiation of the city itself, fully investigate the market demand and develop new passenger transportation lines, especially increase the connections with non-core nodes and improve their position in the network, so as to enhance the stability and external attack tolerance of the whole network. And third, from the perspective of spatial pattern, it is necessary to focus on improving the waterage passenger transportation capacity in the north of the GBA and form a northern hub, in order to make the whole network more balanced. For future studies, we can focus on the evolution process and impact of the WPTN and the comprehensive research of waterage and land passenger transportation network as well.
Keywords:waterage passenger transportation network  complex network analysis  accessibility  traffic network  Guangdong-Hong Kong-Macao Greater Bay Area
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