南京都市圈日常人口流动网络结构特征及影响因素

黄志强; 甄峰; 席广亮; 李智轩

doi:10.13959/j.issn.1003-2398.2023.04.013

PDF(27116 KB)

人文地理 ›› 2023, Vol. 38 ›› Issue (4) : 112-120. DOI: 10.13959/j.issn.1003-2398.2023.04.013

区域

南京都市圈日常人口流动网络结构特征及影响因素

黄志强^1,2, 甄峰^1,2, 席广亮^1,2, 李智轩^1,2

作者信息 +

STRUCTURAL CHARACTERISTICS AND INFLUENCING FACTORS OF DAILY POPULATION MOVEMENT NETWORK IN NANJING METROPOLITAN AREA

HUANG Zhi-qiang^1,2, ZHEN Feng^1,2, XI Guang-liang^1,2, LI Zhi-xuan^1,2

Author information +

文章历史 +

摘要

利用手机信令数据、铁路班次数据、网络大数据和社会经济统计数据等多源数据，以区县为研究单元，分析南京都市圈日常人口流动网络结构特征，并采用QAP回归分析法探究南京都市圈日常人口流动关联网络的影响因素。研究主要发现：①南京都市圈各区县日常人口流动规模呈现“圈层式”分布特征，人口流动网络“小世界”特征明显，城市行政边界对人口流动的阻碍仍较强；②在都市圈层面，交通可达性，网络信息联系以及就业机会、消费活力、公共服务吸引力等服务功能特征差异是区县间日常人口流动网络形成的主要驱动力，而以往研究中经济水平、收入水平和城镇化率等更大尺度下的传统人口流动驱动因素则无显著影响。研究旨在解析都市圈区县层面日常人口流动的内在机理，并为都市圈一体化协调发展提供参考。

Abstract

Using multi-source data such as mobile phone signaling data, railway frequency data, network big data and socio-economic statistics, taking districts and counties as the research unit, this paper analyzes the characteristics of daily population movement network in Nanjing metropolitan area, and uses QAP regression model to analyze the influencing factors of daily population movement network. The research results are as follows:1) The scale of daily population movement network in the districts and counties of Nanjing metropolitan area presents a "circle type" distribution feature, the characteristics of "small world" of population movement network is obvious. The obstruction of urban administrative boundary to daily population movement network is still strong; 2) Traffic accessibility, network information connection and differences in service function characteristics such as employment opportunities, consumption vitality and public service attractiveness are the main driving forces of daily population flow movement network in Nanjing metropolitan area, while the driving factors of population movement at a larger scale such as economic level, income level and urbanization rate in previous studies are not significant. The purpose of the study is to analyze the internal mechanism of daily population movement network in metropolitan area, and to provide reference for accelerating the integrated and coordinated development of metropolitan area.

导出引用

黄志强, 甄峰, 席广亮, 李智轩. 南京都市圈日常人口流动网络结构特征及影响因素[J]. 人文地理. 2023, 38(4): 112-120 https://doi.org/10.13959/j.issn.1003-2398.2023.04.013

HUANG Zhi-qiang, ZHEN Feng, XI Guang-liang, LI Zhi-xuan. STRUCTURAL CHARACTERISTICS AND INFLUENCING FACTORS OF DAILY POPULATION MOVEMENT NETWORK IN NANJING METROPOLITAN AREA[J]. HUMAN GEOGRAPHY. 2023, 38(4): 112-120 https://doi.org/10.13959/j.issn.1003-2398.2023.04.013

中图分类号： TU984

参考文献

[1] Haas H D. Migration and development:A theoretical perspective[J]. International Migration Review, 2010,44(1):227-264.
[2] 朱宇,林李月,柯文前.国内人口迁移流动的演变趋势:国际经验及其对中国的启示[J].人口研究,2016,40(5):50-60.[Zhu Yu, Lin Liyue, Ke Wenqian. Trends in internal migration and mobility:International experiences and their implications for China[J]. Population Research, 2016,40(5):50-60.]
[3] Zhang W, Derudder B, Wang J, et al. Regionalization in the Yangtze River Delta, China, from the perspective of inter-city daily mobility[J]. Regional Studies, 2018,52(4):528-541.
[4] 钮心毅,王垚,刘嘉伟,等.基于跨城功能联系的上海都市圈空间结构研究[J].城市规划学刊,2018(5):80-87.[Niu Xinyi, Wang Yao, Liu Jiawei, et al. Spatial structure of Shanghai Conurbation area from perspective of inter-city functional links[J]. Urban Planning Forum, 2018(5):80-87.]
[5] 何文举,刘慧玲,颜建军.基本公共服务支出、收入水平与城市人口迁移关系:以湖南省市域中心城市为例[J].经济地理,2018,38(12):50-59.[He Wenju, Liu Huiling, Yan Jianjun. Relations among the population migration and local income levels and public expenses in hunan based on the perspective of the equalization of public services[J]. Economic Geography, 2018,38(12):50-59.]
[6] 沈诗杰,沈冠辰.中国省际人口流动的空间结构特征研究[J].人口学刊,2020,42(4):103-112.[Shen Shijie, Shen Guanchen. Analysis on the spatial structure of inter-provincial migrant in China[J]. Population Journal, 2020,42(4):103-112.]
[7] 盛广耀.中国省际人口流动网络的演化及其解释[J].中国人口·资源与环境,2018,28(11):1-9.[Sheng Guangyao. Study on the evolution and explanation of inter-provincial population flow network in China[J]. China Population, Resources and Environment, 2018, 28(11):1-9.]
[8] 孙桂平,韩东,贾梦琴.京津冀城市群人口流动网络结构及影响因素研究[J].地域研究与开发,2019,38(4):166-169,180.[Sun Guiping, Han Dong, Jia Mengqin. Structure and influencing factors of human mobility network in Beijing-Tianjin-Hebei urban agglomeration[J]. Areal Research and Development, 2019,38(4):166-169,180.]
[9] Wang X, Ding S, Cao W, et al. Research on network patterns and influencing factors of population flow and migration in the Yangtze River Delta urban agglomeration, China[J]. Sustainability, 2020,12(17):6803. https://www.mdpi.com/2071-1050/12/17/6803/.
[10] 唐锦玥,张维阳,王逸飞.长三角城际日常人口移动网络的格局与影响机制[J].地理研究, 2020, 39(5):1166-1181.[Tang Jinyue, Zhang Weiyang, Wang Yifei. The pattern and influencing factors of daily population movement network in the Yangtze River Delta[J]. Geographical Research, 2020,39(5):1166-1181.]
[11] 陶希东.中国建设现代化都市圈面临的问题及创新策略[J].城市问题, 2020, 39(1):98-102.[Tao Xidong. Problems and innovative strategies of China in constructing modern metropolitan area[J]. Urban Problems, 2020,39(1):98-102.]
[12] 由效铭,张宁,宗传苓,等.都市圈轨道交通一体化融合发展研究[J].城市交通, 2022, 20(2):66-74.[You Xiaoming, Zhang Ning, Zong Chuanling, et al. Integrated development of rail transit in metropolitan areas[J]. Urban Transport of China, 2022,20(2):66-74.]
[13] 杨宇,肖映辉,肖琨,等.基于多源大数据的武汉城市圈城际通勤分布及影响因素研究[J].地理信息世界,2020,27(2):33-39.[Yang Yu, Xiao Yinghui, Xiao Kun, et al. Study on the spatial distribution and influencing factors of inter-city communting in Wuhan metropolitan area based on multi-source data[J]. Geomatics World, 2020, 27(2):33-39.]
[14] Kim S W, Lee H R. Analysis of the factors affecting on internal population migration in Seoul metropolitan area[J]. Journal of the Korea Academia-Industrial cooperation Society, 2016,17(9):737-744.
[15] Elena V, Nikita M. Factors of interregional migration in Russia disaggregated by age[J]. Applied Spatial Analysis and Policy, 2020, 13(3):609-630.
[16] 武前波,陶娇娇,吴康,等.长江三角洲高铁日常通勤行为特征研究:以沪杭、宁杭、杭甬线为例[J].城市规划,2018,42(8):90-97, 122.[Wu Qianbo, Tao Jiaojiao, Wu Kang, et al. Daily commuting behavior characteristics of high speed rail passengers in the Yangtze River Delta region:A case study of Shanghai-Hangzhou, Nanjing-Hangzhou, and Hangzhou-Ningbo lines[J]. City Planning Review, 2018,42(8):90-97,122.]
[17] 冯章献,张瑜,魏冶,等.基于百度迁徙数据的长春市春运人口流动时空格局与动力机制[J].经济地理,2019,39(5):101-109.[Feng Zhangxian, Zhang Yu, Wei Ye, et al. Spatial-temporal pattern and dynamic mechanism of population flow of Changchun city during Chunyun period based on Baidu[J]. Economic Geography, 2019, 39(5):101-109.]
[18] 李智轩,甄峰,张姗琪,等.季节时空交互视角下老年人公交移动性的影响因素研究:以芜湖市为例[J].人文地理,2021,36(6):67-75.[Li Zhixuan, Zhen Feng, Zhang Shanqi, et al. Investigating the factors of elderly's bus mobility based on the season and space interaction:A case study of Wuhu[J]. Human Geography, 2021,36(6):67-75.]
[19] Ma S, Long Y. Functional urban area delineations of cities on the Chinese mainland using massive Didi ride-hailing records[J]. Cities, 2020,97(2):102532. https://doi.org/10.1016/j.cities.2019.102532.
[20] 甄峰,李哲睿,谢智敏.基于人口流动的城市内部空间结构特征及其影响因素分析:以南京市为例[J].地理研究,2022,41(6):1525-1539.[Zhen Feng, Li Zherui, Xie Zhimin. Analysis of urban internal spatial structure characteristics and its influencing factors based on population flow:A case study of Nanjing[J]. Geographical Research, 2022,41(6):1525-1539.]
[21] 王蓓,王良,刘艳华,等.基于手机信令数据的北京市职住空间分布格局及匹配特征[J].地理科学进展, 2020, 39(12):2028-2042.[Wang Bei, Wang Liang, Liu Yanhua, et al. Characteristics of jobshousing spatial distribution in Beijing based on mobile phone signaling data[J]. Progress in Geography, 2020,39(12):2028-2042.]
[22] 李智轩,甄峰,曹钟茗,等.人流视角下城市空间结构特征及规划与治理响应:以南京市为例[J].城市发展研究,2021,28(6):58-65.[Li Zhixuan, Zhen Feng, Cao Zhongming, et al. Characters of urban spatial structure and the response from planning and governance in the perspective of human mobility:A case study of Nanjing[J]. Urban Development Studies, 2021,28(6):58-65.]
[23] 董超,修春亮,魏冶.基于通信流的吉林省流空间网络格局[J].地理学报, 2014, 69(4):510-519.[Dong Chao, Xiu Chunliang, Wei Ye. Network structure of 'space of flows' in Jilin province based on telecommunication flows[J]. Acta Geographica Sinica, 2014,69(4):510-519.]
[24] 郑龙飞,顾伟男,龙奋杰,等.不同流视角下的贵州省空间网络结构及形成机制分析[J].地理科学,2020,40(6):939-947.[Zheng Longfei, Gu Weinan, Long Fenjie, et al. The urban network structure and influential mechanism of Guizhou province from the perspective of various flows[J]. Scientia Geographica Sinica, 2020,40(6):939-947.]
[25] 蔡海亚,赵永亮,南永清.中国"互联网+"发展的空间关联网络及其影响因素:基于社会网络分析视角的实证研究[J].地理科学, 2021,41(6):933-940.[Cai Haiya, Zhao Yongliang, Nan Yongqing. The spatial correlation network of China's 'Internet plus' development and its influencing factors:An empirical study based on the perspective of social network analysis[J]. Scientia Geographica Sinica, 2021,41(6):933-940.]
[26] Wang Y W, Xi M M, Chen H, et al. Evolution and driving mechanism of tourism flow networks in the Yangtze River Delta urban agglomeration based on social network analysis and geographic information system:A double-network perspective[J]. Sustainability, 2022,14(13):7656. https://doi.org/10.3390/su14137656.
[27] 巫强,朱姝,安修伯.中国劳动力流动存在省际边界壁垒吗? 基于暂住证数据的实证研究[J].中国经济问题,2016,58(6):3-13.[Wu Qiang, Zhu Shu, An Xiubo. Does the provincial boundary barrier exists in the Chinese labor flow:An empirical research based on the data of temporary residence permit[J]. China Economic Studies, 2016,58(6):3-13.]
[28] 严善平.中国省际人口流动的机制研究[J].中国人口科学,2007, 21(1):71-77, 96.[Yan Shanping. Inter-provincial migration and its determinants in the 1990's China[J]. Chinese Journal of Population Science, 2007,21(1):71-77,96.]
[29] 汪丽,曹小曙,胡玲玲.景点可达性对不同出游时间游客流动的影响研究:以西安市为例[J].人文地理,2021,36(3):157-166.[Wang Li, Cao Xiaoshu, Hu Lingling. Research on the impact of tourist attractions accessibility on tourist flow in different travel times:A case study of Xi'an city[J]. Human Geography, 2021, 36(3):157-166.]
[30] 王萌,匡耀求,黄宁生.珠江三角洲城际间人口流动倾向空间特征:基于网络关注度数据的时空演化[J].热带地理,2017,37(1):33-42.[Wang Meng, Kuang Yaoqiu, Huang Ningsheng. Spatial characteristics of intercity population flow propensity in the Pearl River Delta region:Based on the spatio-temporal change of internet attention index[J]. Tropical Geography, 2017,37(1):33-42.]
[31] 王波,甄峰.城市实体特征对城市网络空间影响力的作用机制:基于互联网新闻媒体的分析[J].地理科学,2017,37(8):1127-1134.[Wang Bo, Zhen Feng. Impacts of city's characteristics on city's importance in the virtual world:An empirical analysis based on internet news media[J]. Scientia Geographica Sinica, 2017,37(8):1127-1134.]
[32] 杨雨,盛科荣.中国城市网络关联格局的演变及影响因素:基于企业网络视角[J].世界地理研究,2021,30(6):1208-1218.[Yang Yu, Sheng Kerong. Evolution and influencing factors of urban network linkage patterns in China:From the perspective of enterprise network[J]. World Regional Studies, 2021,30(6):1208-1218.]
[33] Chong Z H, Qin C G, Pan S. The evolution of the Belt and Road Trade network and its determinant factors[J]. Emerging Markets Finance and Trade, 2019,55(14):3166-3177.
[34] 戢晓峰,李康康,陈方.节假日旅游流时空分异及其形成机制:以云南省为例[J].经济地理,2018,38(3):200-207.[Ji Xiaofeng, Li Kangkang, Chen Fang. Study on spatial and temporal differentiation of holiday tourism flow and its formation mechanism:A case study of Yunnan province[J]. Economic Geograph, 2018,38(3):200-207.]