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基于航空联系的中国城市网络格局演变分析
引用本文:张婷婷,陈瑛,王孟林.基于航空联系的中国城市网络格局演变分析[J].世界地理研究,2022,31(1):166-176.
作者姓名:张婷婷  陈瑛  王孟林
作者单位:陕西师范大学地理科学学院,西安 710119
基金项目:国家自然科学基金项目(61071118)。
摘    要:运用2000、2005、2010、2017年全国民航机场及航线客流的截面数据(不含港澳台地区),结合复杂网络、GIS与地理探测器方法,刻画了21世纪以来我国航空联系网络所反映的城市网络格局,并分析其演变过程及影响因素。结果表明:中国目前形成了以上海、北京、广州、成都为一级核心城市,多层次、多中心的网络格局,并由“三中心”逐渐演变为“四中心”结构;中心城市分布具有明显的东西差异,呈现“三足鼎立、西部突出、中部薄弱”态势;全国城市网络具有无标度、小世界特征及较强的集聚性,中心城市在2005年前向东南沿海集聚,而后向中西部地区扩散,集聚性有所降低;中国城市网络格局的演变由政策支持、旅游发展水平、经济基础、产业结构等多因素共同驱动。

关 键 词:航空  城市网络  复杂网络  地理探测器  中国  
收稿时间:2020-10-21
修稿时间:2021-02-05

Analysis of the evolution of China’s urban network pattern based on aviation connection network
ZHANG Tingting,CHEN Ying,WANG Menglin.Analysis of the evolution of China’s urban network pattern based on aviation connection network[J].World Regional Studies,2022,31(1):166-176.
Authors:ZHANG Tingting  CHEN Ying  WANG Menglin
Institution:School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
Abstract:Based on airports’passenger throughput and airlines’passenger flow of China in2000,2005,2010&2017(excluding Hong Kong,Macao and Taiwan),applied complex network,GIS and geographical detector to analyze the characteristics of urban network pattern reflected by China’s aviation connections,and explored the evolution process and influencing factors of urban network in China.The results show that China has formed a multi-level,multi-center network pattern with Shanghai,Beijing,Guangzhou and Chengdu as the first-level core cities.The urban network has gradually evolved from a"three-center"structure to a"four-center"structure.The distribution of central cities has spatial heterogeneity,showing the situation of"tripartite confrontation,prominent in the west,weak in the middle";the national urban network has obvious scale-free,small-world characteristics and strong agglomeration.The national central cities mainly concentrated in the southeast coast before 2005,and gradually spread to the central and western regions after 2005.The evolution of China’s urban network pattern is driven by many factors such as policy support,tourism development level,economic foundation,and public services.
Keywords:aviation  urban network  complex networks  geographical detector  China
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