Fine Grid Dynamic Features of Population Distribution in Shenzhen

  • 1.Meteorological Bureau of Shenzhen Municipality; Shenzhen 518040; Guangdong; China; 
    2.China Mobile Communications Corporation Guangdong Co.Ltd.Shenzhen Branch; Shenzhen 518048; Guangdong; China

Received date: 2009-08-04

  Revised date: 2009-11-29

  Online published: 2010-04-25

Supported by

Research and Development Program of China (863 Program), No.2006AA01A123


Shenzhen is the most densely populated city in China.In order to respond to emergencies,such as natural disasters,real time high resolution dynamic information of population distribution is needed.This paper analyzes the fine grid dynamic characteristics of Shenzhen population distribution,using the information of population density in respect of which the temporal resolution is an hour and the spatial resolution is a kilometer provided by the "Dynamic Monitoring System of Population Distribution Based on Mobile Stations".The mobile subscribers in Shenzhen total to 10.8259 million.The average population density is 5545 people/km2,and the maximum density reaches 165,000 people/km2.High density areas which have more than 50,000 people/km2 are mainly the business centers,custom ports,railway stations,and large residential communities.The value of the maximum population density depends on the size of grid used,for example the value of 1 km2 grid is about 18 times than the value of 1000 km2 grid.Some 50% of the population in Shenzhen is concentrated in 10% of the city\'s spatial area,and 60% resides in the areas where altitudes are between 50 m to 100 m.The building density and the road density on the grid are linearly correlated with population density,that is,1000 people are added when the building density increases by 1%,and about 2,000 people are added when the road density increases by 0.01%.The total population of a city is relatively stable during a period of time,the variation of which is commonly less than 4% and the daily variation is about 1%.Shenzhen is a typical immigration city,and the total population will decrease by 48% during the Chinese New Year because a lot of people will go back to their hometowns or traval around.This paper selects 9 typical grids to analyze the daily variation of the population and they are as follows:custom ports have a morning peak,and people going outbound crowd here at about 8 a.m.;bazaar areas have a noon peak;business centers have an evening peak with a net inflow/outflow over 20,000 people/hr;residential communities have a noon trough,and the density of population is always bigger on the weekends than on the weekdays;in the government offices and public service areas,there are fewer people on the weekends than on the weekdays and the population is decreased by 75% during the Chinese New Year;the factory area has a peak of population at about 4 a.m.because of the peak load shifting;outing area is more crowded during the holidays and weekends;in the out-of-the-way area,the daily variation of population is very little;and in the farming area,there is a morning trough of population at about 9 a.m.which corresponds to the traditional farming habits.

Cite this article

MAO Xia1; XU Rongrong2; LI Xinshuo1; WANG Yu2; LI Cheng1; ZENG Bo2; HE Yuhua1; LIU Jinquan1 . Fine Grid Dynamic Features of Population Distribution in Shenzhen[J]. Acta Geographica Sinica, 2010 , 65(4) : 443 -453 . DOI: 10.11821/xb201004006


[1] Wang Guixin. Population Distribution and Regional Development of Economy in China. Shanghai: East China Normal University Press, 1997. [王桂新. 中国人口分布和区域经济发展. 上海: 华东师范大学出版社, 1997.]
[2] Liu Jiyuan, Yue Tianxiang, Wang Ying'an et al. Digital simulation of population density in China. Acta Geographica Sinica. 2003, 58(1): 17-24. [刘纪远, 岳天祥, 王英安等. 中国人口密度数字模拟. 地理学报, 2003, 58(1): 17-24.]
[3] Zhuo Li, Chen Jin, Shi Peijun et al. Modeling population density of China in 1998 based on DMSP/OLS nighttime light image. Acta Geographica Sinica. 2005, 60(2): 266-275. [卓莉, 陈晋, 史培军等. 基于夜间灯光数据的中国人口密 度模拟. 地理学报, 2005, 60(2): 266-275.]
[4] Tolba M K. Human Settlement. The World Environment 1992. Chapman and Hall on behalf of UNEP, 1992: 61-104.
[5] Skole D L. Data on global land-cover change: Acquisition, assessment, and analysis//William B Meter//Changes in Land Use and Land Cover: A Global Perspective. Cambridge: Cambridge University Press, 1994: 437-472.
[6] Fu Haiyue, Li Manchun, Zhao Jun et al. Summary of grid transformation models of population data. Human Geography, 2006, 21(3): 115-120. [符海月, 李满春, 赵军等. 人口数据格网化模型研究进展综述. 人文地理, 2006, 21 (3): 115-120.]
[7] Fan Yida, Shi Peijun, Gu Zhihui et al. A method of data gridding from administration cell to gridding cell. Scientia Geographica Sinica, 2004, 24(1): 105-108. [范一大, 史培军, 辜智慧等. 行政单元数据向网格单元转化的技术方法. 地 理科学, 2004, 24(1): 105-108.]
[8] Lu Anmin, Li Chengming, Lin Zongjian et al. Spatial transformation for statistical population data. Arid Land Geography, 2002, 25(2): 170-175. [吕安民, 李成名, 林宗坚等. 人口统计数据的空间转换. 干旱区地理, 2002, 25(2): 170-175.]
[9] Jiang Dong, Yang Xiao Huan, Wang Naibin et al. Study on spatial distribution of population based on remote sensing and GIS. Advance in Earth Sciences, 2002, 17(5): 734-738. [江东, 杨小唤, 王乃斌等. 基于RS、GIS 的人口空间分布 研究. 地球科学进展, 2002, 17(5): 734-738.]
[10] Liao Shunbao, Sun Jiulin. Quantitative analysis of relationship between population distribution and environmental factors in Qinghai-Tibet Plateau. China Population, Resources and Environment, 2003, 13(3): 62-67. [廖顺宝, 孙九林. 青藏高原人口分布与环境关系的定量研究. 中国人口.资源与环境, 2003, 13(3): 62-67.]
[11] Yin Jingyuan, Zhang Guifang, Shan Xinjian. Simulating population density based on TM Images: Taking Beijing as an example. Journal of Catastrophology, 2007, 22(1): 31-35. [尹京苑, 张桂芳, 单新建. 基于TM影像的人口密度数字模 拟: 以北京地区为例. 灾害学, 2007, 22(1): 31-35.]
[12] Tian Yongzhong, Chen Shupeng, Yue Tianxiang et al. Simulation of Chinese population density based on land use. Acta Geographica Sinica, 2004, 59(2): 283-292. [田永中, 陈述彭, 岳天祥等. 基于土地利用的中国人口密度模拟. 地 理学报, 2004, 59(2): 283-292.]
[13] Peng Zhenwei, Lu Jianpu. Optimizing the population distribution structure in Shanghai. Urban Planning Forum, 2002, (2): 21-26, 79. [彭震伟, 路建普. 上海城市人口布局优化研究. 城市规划汇刊, 2002, (2): 21-26, 79.]
[14] 孟庆艳, 徐浩澜. 城市公交网点与人口分布互动关系的概念模型. 城市公共交通, 2007, (8): 28-32. [Meng Qingyan, Xu Haolan. A concept model on the interaction relationship between urban public transport routes & stations and population distribution. Urban Public Transport, 2007, (8): 28-32.]
[15] Gao Zhiqiang, Liu Jiyuan, Zhuang Dafang. The relations analysis between ecological environmental quality of Chinese land resources and population. Journal of Remote Sensing, 1999, 3(1): 66-70. [高志强, 刘纪远, 庄大方. 基于遥感和 GIS的中国土地资源生态环境质量同人口分布的关系研究. 遥感学报, 1999, 3(1): 66-70.]
[16] Lai Yuhong, Fang Yibo, Wang Junjie. The medical facilities and population distribution in Guangzhou. South China Population, 2002, (4): 48-52. [赖玉红, 方一波, 王俊杰. 广州市人口分布与医疗卫生资源配置存在的问题. 南方人 口, 2002, (4): 48-52.]
[17] Zhang Tianrun, Wang Yu. A preliminary study on the relationship between the distributions of population and earthquake in China. Earthquake Research in China, 1986, 2(3): 82-87. [张天润, 王瑀. 中国人口分布和地震分布的关 系初探. 中国地震, 1986, 2(3): 82-87.]
[18] Cao Aili, Zhang Hao, Zhang Yan et al. Decadal changes of air temperature in Shanghai in recent 50 years and its relation to urbanization. Chinese Journal of Geophysics, 2008, 51(6): 1663-1669. [曹爱丽, 张浩, 张艳等. 上海近50 年 气温变化与城市化发展的关系. 地球物理学报, 2008, 51(6): 1663-1669.]
[19] Tobler W, Deichmann U, Gottsegen J. World population in a grid of spherical quadrilaterals. International Journal of Population Geography, 1997, (3): 203-225.
[20] Loibl W, Toetzer T. Modeling growth and densification processes in suburban regions: Simulation of landscape transition with spatial agents. Environment Modeling and Software, 2003, 18(6): 553-563.
[21] Shenzhen Statistics Bureau. Shenzhen Statistical Yearbook-2006. Beijing: China Statistics Press, 2006: 25-27. [深圳市 统计局. 深圳统计年鉴(2006). 北京: 中国统计出版社, 2006: 25-27.]