地理科学 ›› 2020, Vol. 40 ›› Issue (1): 32-39.doi: 10.13249/j.cnki.sgs.2020.01.005
李恩康1,2, 陆玉麒1,2,3(), 杨星1, 陈娱1,2,3
收稿日期:
2019-04-09
修回日期:
2019-06-21
出版日期:
2020-01-10
发布日期:
2020-03-17
通讯作者:
陆玉麒
E-mail:luyuqi@263.net
作者简介:
李恩康(1992-),男,江苏南京人,博士研究生,主要研究方向为经济地理与空间规划。E-mail: li_enkang@163.com
基金资助:
Li Enkang1,2, Lu Yuqi1,2,3(), Yang Xing1, Chen Yu1,2,3
Received:
2019-04-09
Revised:
2019-06-21
Online:
2020-01-10
Published:
2020-03-17
Contact:
Lu Yuqi
E-mail:luyuqi@263.net
Supported by:
摘要:
基于2014年4月至2018年8月的全球航空客运数据,运用Gephi网络分析探讨全球城市网络联系强度的时空演化过程,并基于定积分的基本概念构建了“联系强度-空间距离”模型,从新的视角解读全球城市网络联系强度对空间距离的突破,研究得出以下结论:①全球城市网络联系强度在2014~2018年总体呈上升态势,西欧城市群、北美城市群、东亚城市群构筑了全球城市网络骨架;② 全球城市网络对空间距离的突破在2016年达到峰值后又呈现阶段性回落,反映出全球城市网络演化与重构的复杂性和波动性。
中图分类号:
李恩康, 陆玉麒, 杨星, 陈娱. 全球城市网络联系强度的时空演化研究——基于2014~2018年航空客运数据[J]. 地理科学, 2020, 40(1): 32-39.
Li Enkang, Lu Yuqi, Yang Xing, Chen Yu. Spatio-temporal Evolution on Connection Strength of Global City Network Based on Passenger Flight Data from 2014 to 2018[J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(1): 32-39.
表1
2014年4月至2018年8月全球城市网络的平均加权度"
T | A | T | A | T | A | T | A | T | A | T | A |
---|---|---|---|---|---|---|---|---|---|---|---|
2014.4 | 4061 | 2014.12 | 4392 | 2015.10 | 5828 | 2016.6 | 6899 | 2017.3 | 7056 | 2018.1 | 5599 |
2014.5 | 4732 | 2015.1 | 4713 | 2015.11 | 5473 | 2016.7 | 7297 | 2017.4 | 6507 | 2018.2 | 5303 |
2014.6 | 4600 | 2015.2 | 4563 | 2015.12 | 5652 | 2016.8 | 7250 | 2017.5 | 6955 | 2018.3 | 6274 |
2014.7 | 4635 | 2015.3 | 5214 | 2016.1 | 5076 | 2016.9 | 6482 | 2017.7 | 6872 | 2018.4 | 6129 |
2014.8 | 4591 | 2015.6 | 5204 | 2016.2 | 4757 | 2016.10 | 6093 | 2017.8 | 6141 | 2018.5 | 5770 |
2014.9 | 4521 | 2015.7 | 5581 | 2016.3 | 5416 | 2016.11 | 5709 | 2017.10 | 5601 | 2018.6 | 5747 |
2014.10 | 4600 | 2015.8 | 5663 | 2016.4 | 5986 | 2016.12 | 6104 | 2017.11 | 5471 | 2018.7 | 5947 |
2014.11 | 4311 | 2015.9 | 5550 | 2016.5 | 6692 | 2017.2 | 5874 | 2017.12 | 5665 | 2018.8 | 5931 |
表2
全球城市网络中各城市的中介中心性变异系数"
T | CV | T | CV | T | CV | T | CV | T | CV | T | CV |
---|---|---|---|---|---|---|---|---|---|---|---|
2014.4 | 2.11 | 2014.12 | 2.05 | 2015.10 | 1.94 | 2016.6 | 1.89 | 2017.3 | 1.91 | 2018.1 | 1.89 |
2014.5 | 2.09 | 2015.1 | 2.09 | 2015.11 | 1.98 | 2016.7 | 1.87 | 2017.4 | 1.91 | 2018.2 | 1.90 |
2014.6 | 2.02 | 2015.2 | 2.02 | 2015.12 | 1.95 | 2016.8 | 1.89 | 2017.5 | 1.86 | 2018.3 | 1.87 |
2014.7 | 2.03 | 2015.3 | 2.00 | 2016.1 | 1.97 | 2016.9 | 1.88 | 2017.7 | 1.85 | 2018.4 | 1.90 |
2014.8 | 2.02 | 2015.6 | 1.90 | 2016.2 | 1.97 | 2016.10 | 1.91 | 2017.8 | 1.86 | 2018.5 | 1.90 |
2014.9 | 2.03 | 2015.7 | 1.93 | 2016.3 | 1.95 | 2016.11 | 1.92 | 2017.10 | 1.88 | 2018.6 | 1.88 |
2014.10 | 2.02 | 2015.8 | 1.93 | 2016.4 | 1.91 | 2016.12 | 1.94 | 2017.11 | 1.94 | 2018.7 | 1.86 |
2014.11 | 2.09 | 2015.9 | 1.92 | 2016.5 | 1.86 | 2017.2 | 1.92 | 2017.12 | 1.92 | 2018.8 | 1.85 |
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