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作 者:郑燕巧 戴其文 周妍锦 赖璇宇 ZHENG Yanqiao;DAI Qiwen;ZHOU Yanjin;LAI Xuanyu(Institute of Population and Labor Economics,Chinese Academy of Social Sciences,Beijing 100006,China;School of Economics and Management,Guangxi Normal University,Guilin 541004,Guangxi,China)
机构地区:[1]中国社会科学院人口与劳动经济研究所,北京100006 [2]广西师范大学经济管理学院,广西桂林541004
出 处:《国土资源科技管理》2025年第2期49-58,共10页Scientific and Technological Management of Land and Resources
基 金:国家自然科学基金项目(72104209);国家自然科学基金地区项目(42361051);国家自然科学基金地区项目(42061027);2023年度国家资助博士后研究人员计划(GZC20233096)。
摘 要:本文基于社会网络分析方法构建222×222的O-D城市日高铁流量矩阵数据,探讨中国城市网络空间结构,结果表明:(1)以上海、南京、苏州、无锡4个城市为高铁网络核心,形成若干条高铁主轴;以南京、郑州、武汉、济南、北京为高铁网络次核心并形成若干条高铁次轴,共同构造中国高铁网络结构。少量中西部城市及非省会城市发展成为高铁网络的重要节点。(2)聚类后形成的9个城市群体基本覆盖19个国家级城市群,并呈现出涵盖范围更广且吸纳部分非城市群城市的特点。大部分城市群体均包含了若干个不完整的城市群。在高铁网络支撑下,城市群之间紧密联系,可能形成新的巨型城市群或城市带,一些潜在的新的城市群可能正在形成。若干重要交通枢纽城市,作为链接城市群的关键性节点正在崛起,不仅推动城市群的协同发展,在本省也是重要的门户城市和中心城市。(3)影响因素分析发现,公路客运量不仅正向影响城市高铁日流量,对城市高铁网络结构均起到了显著的积极作用。人均地区生产总值、第二产业产值比重、第三产业产值比重对城市高铁网络结构产生正向影响。A 222×222 O-D city daily high-speed rail flow matrix data was constructed to explore the spatial structure of China’s urban network based on social network analysis.The results showed that:(1)with Shanghai,Nanjing,Suzhou and Wuxi as the core of the high-speed rail network,several high-speed rail axes were formed;With Nanjing,Zhengzhou,Wuhan,Jinan and Beijing as the sub cores of the high-speed rail network,several high-speed rail sub axes were formed,jointly constructing the structure of China’s high-speed rail network.A small number of cities in the central and western regions,as well as non-provincial cities,have developed into important nodes in the high-speed rail network.(2)The 9 city clusters formed via clustering basically cover 19 national-level city clusters,and show the characteristics of wider coverage and absorption of some cities not included in national-level city clusters.Most urban agglomerations contain several partial city clusters.Supported by the high-speed rail network,city clusters are closely connected and may form new mega city-clusters or urban belts,and some potential new city clusters may be forming.Strategic transportation hubs are evolving as pivotal nodes that simultaneously drive intra-provincial development and inter-agglomeration coordination.(3)Analysis of influencing factors found that highway passenger volume not only positively affects the daily flow of urban high-speed rail,but also plays a significant positive role in the structure of the urban high-speed rail network.The per capita regional GDP,the proportion of secondary industry output value and the proportion of tertiary industry output value have a positive impact on the structure of urban high-speed rail network.
分 类 号:F512.3[经济管理—产业经济] K9[历史地理—人文地理学]
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