地理学报 ›› 2020, Vol. 75 ›› Issue (7): 1418-1431.doi: 10.11821/dlxb202007007
王楠1,2(), 王会蒙1,2, 杜云艳1,2(
), 易嘉伟1,2, 刘张1,2, 涂文娜1,2
收稿日期:
2019-04-02
修回日期:
2020-06-28
出版日期:
2020-07-25
发布日期:
2020-09-25
通讯作者:
杜云艳
E-mail:wangnan171@mails.ucas.ac.cn;duyy@lreis.ac.cn
作者简介:
王楠(1994-), 女, 硕士生, 研究方向为时空数据挖掘。E-mail: 基金资助:
WANG Nan1,2(), WANG Huimeng1,2, DU Yunyan1,2(
), YI Jiawei1,2, LIU Zhang1,2, TU Wenna1,2
Received:
2019-04-02
Revised:
2020-06-28
Online:
2020-07-25
Published:
2020-09-25
Contact:
DU Yunyan
E-mail:wangnan171@mails.ucas.ac.cn;duyy@lreis.ac.cn
Supported by:
摘要:
在大数据时代,来自网络的人口迁徙数据,为开展区域间人口流入、流出模式研究提供了强有力的数据支撑。本文基于腾讯日迁徙数据(2015—2018年),借助时间序列、社交网络和时空统计等分析方法,剖析、挖掘了青藏高原人口流入与流出模式,探讨了青藏高原与国内其他城市间的季节性人口流向和人口互动网络特征。结果表明:① 青藏高原人口流动具有显著的周期性特征,年内呈低—中—中高—高的季节性变化规律;2015至2018年,青藏高原在全国城市流动人口互动网络中的地位持续提升,人口流动量提升了8.2%,网络排名提升了24.5%,中值季、中高值季和高值季相对低值季而言,日均人口流动量依次增高14.2%、26.7%、57.8%;② 青藏高原人口流动方向集中在青藏高原NEE-67.5°至SEE-112.5°的45°扇形区间,并且青藏高原与周边省份的省会城市互动频繁;③ 全国大部分城市与青藏高原人口互动强度持续增强,旅游业起到了关键的推动作用;新疆和田和巴音州、重庆、广安、眉山和河南三门峡与青藏高原间呈现中值季—中高值季升高而高值季下降模式,反映了青藏高原的劳务输入存在季节性变化的规律;吐鲁番、东莞和运城出现高值季下降模式则主要是物资供给关系导致的结果。
王楠, 王会蒙, 杜云艳, 易嘉伟, 刘张, 涂文娜. 青藏高原人口流入流出时空模式研究[J]. 地理学报, 2020, 75(7): 1418-1431.
WANG Nan, WANG Huimeng, DU Yunyan, YI Jiawei, LIU Zhang, TU Wenna. Spatiotemporal patterns of in- and out-bound population flows of the Qinghai-Tibet Plateau[J]. Acta Geographica Sinica, 2020, 75(7): 1418-1431.
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