基于腾讯迁徙大数据的长三角城市群春运人口流动时空特征

陈双; 周锐; 高峻

doi:10.13959/j.issn.1003-2398.2020.04.016

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人文地理 ›› 2020, Vol. 35 ›› Issue (4) : 130-138. DOI: 10.13959/j.issn.1003-2398.2020.04.016

人口

基于腾讯迁徙大数据的长三角城市群春运人口流动时空特征

陈双, 周锐, 高峻

作者信息 +

SPATIAL-TEMPORAL CHARACTERISTICS OF POPULATION FLOW DURING SPRING FESTIVAL TRAVEL RUSH IN YANGTZE RIVER DELTA URBAN AGGLOMERATION BASED ON TENCENT MIGRATION DATA

CHEN Shuang, ZHOU Rui, GAO Jun

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文章历史 +

摘要

开展城市群人口流动研究对促进区域人口有序流动和城市群协同发展具有重要的理论和实践指导意义。本文基于腾讯迁徙大数据，运用GIS空间统计和K-shell分解等方法，从人口流动总量、位序、时序和网络层级等方面，对我国长三角城市群2018年春运期间的人口流动特征进行系统研究。结果表明：①长三角城市群春运期间大规模的“返乡流”和“返城流”呈现明显的对称性，并分别于除夕和第一个工作日达到最高峰。②经济发展水平相对较高的上海、苏州、杭州等为劳动力输入型城市，而经济发展水平相对较低的盐城、安庆和滁州等为劳动力输出型城市。③长三角城市群内部人口流动网络具有明显的层级特征，其中上海和杭州是人口辐射核心城市，上海—合肥、上海—南京、上海—杭州等是人口流动的主体路径；空间上东部—西部横向人口流动最为频繁，大体呈现“Z”字形。

Abstract

The research on population flow in urban agglomerations has important theoretical and practical guiding significance for promoting the orderly flow of regional population and coordinated development of urban agglomerations. In recent years, with the rapid development of information and communication technology, the data acquisition environment and collection methods in urban scale and regional scale have been greatly improved. New data sources related to geographic location are constantly emerging. This geographical behavior big data with the characteristics of real-time, quantitative objectivity, and strong spatio-temporal heterogeneity provides a new support and approach for the study of population flow. This article takes the urban agglomeration of the Yangtze River Delta in China as an example, based on Tencent migration big data, using GIS spatial statistics, spatial analysis and K-shell decomposition methods, to systematically analyze the spatio-temporal characteristics of the population flow of the Yangtze River Delta urban agglomeration during the Spring Festival travel rush in 2018, from the aspects of total population, order, time series and network level, etc. The results of the study showed that in the Yangtze River Delta urban agglomeration, Shanghai, Suzhou, Hangzhou, Ningbo, and Nanjing, which have relatively high levels of economic development, are labor-importing cities. While Yancheng, Anqing, and Chuzhou, which have relatively low economic development levels, are labor-exporting cities.

导出引用

陈双, 周锐, 高峻. 基于腾讯迁徙大数据的长三角城市群春运人口流动时空特征[J]. 人文地理. 2020, 35(4): 130-138 https://doi.org/10.13959/j.issn.1003-2398.2020.04.016

CHEN Shuang, ZHOU Rui, GAO Jun. SPATIAL-TEMPORAL CHARACTERISTICS OF POPULATION FLOW DURING SPRING FESTIVAL TRAVEL RUSH IN YANGTZE RIVER DELTA URBAN AGGLOMERATION BASED ON TENCENT MIGRATION DATA[J]. HUMAN GEOGRAPHY. 2020, 35(4): 130-138 https://doi.org/10.13959/j.issn.1003-2398.2020.04.016

中图分类号： K901.3

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