SCIENTIA GEOGRAPHICA SINICA ›› 2022, Vol. 42 ›› Issue (11): 1867-1878.doi: 10.13249/j.cnki.sgs.2022.11.002
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Qin Yafeng1(), Guo Jianke2,3(
)
Received:
2020-11-30
Revised:
2021-01-13
Online:
2022-11-30
Published:
2022-11-20
Contact:
Guo Jianke
E-mail:qinyafeng8295@163.com;gjianke98@126.com
CLC Number:
Qin Yafeng, Guo Jianke. Network Spatial Connection of Coastal Port City System from the Perspective of Multiple Flows[J].SCIENTIA GEOGRAPHICA SINICA, 2022, 42(11): 1867-1878.
Table 2
Data information and sources
流要素 | 类型 | 信息 | 构建原则 | 来源 |
物流 | 中国各港口间、中国始发至全球其他港口的船期表 | 集装箱船只起讫港口、出发和抵达时间、船名和航次 | 从中筛选出中国沿海各港口城市间(直达及中转)的船期信息,并以此为依据构建物流网络 | 《中国航务周刊》( |
客流 | 各城市中列车时速高于120 km/h的列车,也即以K、T、Z、D、C、G开头的列车 | 车次、始发站、终到站、运行时间 | 从中筛选出中国沿海各港口城市间的列次信息,并以此为依据构建客流网络 | 《全国铁路列车时刻表》( |
资金流 | 中国城市间城际控股型(含全资)的企业间投资联系数据 | 企业名称、注册时间、注册资本、注册地址、投资企业、投资资本、投资地址等 | 从中筛选出中国沿海各港口城市企业间的投资联系数据信息,以此为依据构建资金流网络 | 启信宝( |
技术流 | 各城市之间关于专利、科技成果及科技报告的单位合作联系数据 | 成果类型、发表成果时间、发表成果作者单位、单位地址等 | 采取一定规则②(②选取有合作关系的数据,汇总并进行加权。即参与每篇专利等的作者群,如为两两联系,则分别计为1/2;3个联系的数据,分别计为1/3,以此类推,由此得出港口城市网络联系矩阵。)对相关专利、成果和报告进行量化。从中筛选出中国沿海各港口城市间技术联系数据信息,以此为依据构建技术流网络 | 万方数据知识平台( |
信息流 | “两两城市之间”的信息流通数据(剔除了无效和干扰信息) | 时间、词条内容(积极/消极)、地址等 | 从中筛选出中国沿海各港口城市间信息联系数据,以此为依据构建信息流网络 | 百度搜索( |
Table 3
Comparison of stream element of coastal port city in 2006-2016
流要素类型 | 流要素中心 | 流要素副中心 | 排名前20%城市所占比重/% | H指数 | |
注:1.流要素中心、流要素副中心和排名20%的城市均依据其加权度中心性界定;2.H指数是指赫希曼–赫芬达尔指数,用于测量港口城市各流要素的集中与分散程度;3.未含港澳台数据。 | |||||
2006年 | 物流 | 上海 | 深圳、宁波 | 71.3 | 0.057 |
客流 | 上海 | 南京、无锡 | 47.3 | 0.038 | |
资金流 | 深圳 | 上海、宁波 | 74.1 | 0.075 | |
技术流 | 上海 | 深圳、广州 | 73.5 | 0.113 | |
信息流 | 上海、南京、宁波 | 苏州、深圳 | 31.0 | 0.003 | |
2016年 | 物流 | 上海、宁波 | 深圳、青岛 | 83.6 | 0.078 |
客流 | 上海、南京 | 无锡、常州 | 60.7 | 0.032 | |
资金流 | 上海、深圳、广州 | 苏州、南京 | 73.8 | 0.081 | |
技术流 | 深圳、上海 | 广州、南京 | 77.7 | 0.068 | |
信息流 | 上海、南京、深圳 | 广州、南通 | 24.7 | 0.003 |
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