粤港澳大湾区交通流网络空间结构和边界效应测度OA北大核心CSTPCD
Spatial Structure and Border-Effect Measurement of Transportation-Flow Network in the Guangdong-Hong Kong-Macao Greater Bay Area
推动港澳与内地交通互联互通和融合发展是粤港澳大湾区高质量发展的重要内容.大湾区由于制度差异对跨境交通产生边界效应,但现有研究中利用真实交通流大数据对边界效应的动态测度研究不足.文章基于粤港澳大湾区高速公路收费数据和跨境交通数据构建大湾区交通流网络,采用复杂网络和边界效应度量方法,研究大湾区交通流网络空间结构及其边界效应的动态变化.结果表明,粤港澳大湾区交通流网络具有独特的广佛、深莞惠"双核心―边缘"结构,疫情后大湾区交通流网络的交通覆盖度和紧密度都有较大提升,港澳车流开始跨越边界向北延伸,粤港澳交通融合加速,形成"两岸互通、全域互联"的空间格局,但整体上香港和澳门在整体网络的重要性依然较弱.香港和内地、澳门和内地间的阻碍系数高于内地各县区间的阻碍系数,客车的阻碍系数普遍低于货车的阻碍系数.疫情后全网络的阻碍系数呈现动态下降趋势,边界效应的限制作用降低.文章拓展了交通流网络研究中边界效应的定量研究框架,有助于推动粤港澳大湾区交通融合发展.
Owing to historical reasons,the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)features a unique"one country,two systems"institutional framework.Facilitating the integration and connectivity of transportation among Hong Kong,Macao,and the Mainland is crucial for the high-quality development of the GBA.Previous studies about borders have primarily focused on national(supranational)or administrative boundaries within a country's territory.However,studies on the unique institutional differences in the GBA are insufficient.Additionally,most studies do not perform dynamic border effects measurements using big traffic flow data.This study utilizes toll-collection data from highways in the GBA for 2021 and 2023,as well as cross-border traffic data,to construct a traffic-flow network for the GBA.Complex network analysis and border-effect measurement methods are employed to investigate the spatial structure of the GBA traffic-flow network and its dynamic changes in border effects.The results indicate that,in terms of the overall spatial structure of traffic flow in the GBA,the network exhibits a unique"dual-core edge"structure,with the Guangzhou-Foshan,and Shenzhen-Dongguan-Huizhou regions serving as dual cores.In contrast,the overall coverage and connectivity strength of the passenger-flow network are higher than those of the freight-flow network.Regarding the dynamic changes in the spatial structure of traffic flow from Hong Kong and Macao,the coverage and density of the traffic-flow network in 2023 are significantly higher than those in 2021.Traffic flows from Hong Kong and Macao have begun to extend beyond the border toward the northern regions,thus accelerating the integration of transportation within the GBA and forming a spatial pattern of"cross-strait connectivity and all-area interconnection."However,because of their peripheral positions in the traffic network and the presence of border effects,the importance of Hong Kong and Macao in the GBA traffic-flow network remains relatively weak.Based on the dynamic measurement results of border effects,the obstruction coefficients between Hong Kong and the Mainland,as well as between Macao and the Mainland,are significantly higher than those between various counties within the Mainland.The obstruction coefficients for passenger vehicles are generally lower than those for freight vehicles.Following the outbreak of the pandemic,the obstruction coefficients of the GBA traffic-flow network have increased dynamically,thus indicating a reduction in obstructive border effects.This study expands the quantitative research framework of border effects in traffic-flow networks,thus promoting integrated transportation development in the GBA and facilitating its integration development goals.
吴旗韬
广东省科学院广州地理研究所,广州 510070
交通运输
边界效应交通流网络时空特征粤港澳大湾区
border effectstransportation-flow networkspatial-temporal characteristicsGuangdong-Hong Kong-Macao Greater Bay Area
《热带地理》 2024 (005)
783-793 / 11
国家自然科学基金项目(42071165、42301200);广东省科学院打造综合产业技术创新中心行动资金项目(2023GDASZH-2023010101)
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