City Size Distribution and Its Spatiotemporal Evolution in China

SHI Lifeng; ZHANG Zengxiang; LIU Fang; ZHAO Xiaoli; WANG Xiao; LIU Bin; HU Shunguang; WEN Qingke; ZUO Lijun; YI Ling; XU Jinyong

doi:10.1007/s11769-016-0832-z

City Size Distribution and Its Spatiotemporal Evolution in China

doi: 10.1007/s11769-016-0832-z

1.
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
2.
University of Chinese Academy of Sciences, Beijing 100049, China

基金项目: Under the auspices of the Young Scientist Fund of National Nature Science Foundation of China (No. 41101148)

详细信息

通讯作者:
LIU Fang.E-mail:liufang@radi.ac.cn

City Size Distribution and Its Spatiotemporal Evolution in China

1.
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds: Under the auspices of the Young Scientist Fund of National Nature Science Foundation of China (No. 41101148)

More Information

Corresponding author: LIU Fang.E-mail:liufang@radi.ac.cn

摘要: Based on the National Land Use/Cover Database of China (NLUD-C) in the end of the 1980s (the 1980s, hereafter), 1995, 2000, 2005, and 2010, 665 cities were selected to study the size distribution and its changes of urban lands in China. In this study, the spatiotemporal evolutions of urban land size distribution as well as the influence of administrative-level on these cities were explored by combining urban spatial positions and administrative-levels. Results indicate that:1) City size distribution using urban lands was more practical and reasonable than using non-agricultural population. 2) In the 1980s, cities with ascending urban land rank were centralized in Eastern China, specially the Changjiang (Yangtze) River Delta, the Zhujiang (Pearl) River Delta, and Beijing-Tianjin-Hebei region. Cities in Central, Western, and Northeast China mainly indicated descending urban land rank. 3) The transfer of national development focus resulted in cities with ascending urban land rank becoming evenly distributed nationwide; however, this trend was slightly centralized around Chengdu, Chongqing, and Wuhan in different periods. 4) During the 1980s to 2010, the proportion of cities with ascending urban land rank in provincial capitals, municipalities, and special administrative regions (high-level cities, hereafter) was consistently higher than those in prefecture-and county-level cities except for 2005-2010. The ranks of the majority of the prefecture-and county-level cities were mainly descending, supported by ascending; the proportion of cities with unchanged rank is small. This study breaks through the bottleneck of traditional research in the area of city size distribution by examining urban land replacing the non-agricultural population. The current study also provides scientific explanation for the healthy and reasonable development of urban land as well as the coordinated development of population urbanization and land urbanization.
- Chinese city /
- urban land /
- size distribution /
- spatiotemporal evolution /
- remote sensing
Abstract: Based on the National Land Use/Cover Database of China (NLUD-C) in the end of the 1980s (the 1980s, hereafter), 1995, 2000, 2005, and 2010, 665 cities were selected to study the size distribution and its changes of urban lands in China. In this study, the spatiotemporal evolutions of urban land size distribution as well as the influence of administrative-level on these cities were explored by combining urban spatial positions and administrative-levels. Results indicate that:1) City size distribution using urban lands was more practical and reasonable than using non-agricultural population. 2) In the 1980s, cities with ascending urban land rank were centralized in Eastern China, specially the Changjiang (Yangtze) River Delta, the Zhujiang (Pearl) River Delta, and Beijing-Tianjin-Hebei region. Cities in Central, Western, and Northeast China mainly indicated descending urban land rank. 3) The transfer of national development focus resulted in cities with ascending urban land rank becoming evenly distributed nationwide; however, this trend was slightly centralized around Chengdu, Chongqing, and Wuhan in different periods. 4) During the 1980s to 2010, the proportion of cities with ascending urban land rank in provincial capitals, municipalities, and special administrative regions (high-level cities, hereafter) was consistently higher than those in prefecture-and county-level cities except for 2005-2010. The ranks of the majority of the prefecture-and county-level cities were mainly descending, supported by ascending; the proportion of cities with unchanged rank is small. This study breaks through the bottleneck of traditional research in the area of city size distribution by examining urban land replacing the non-agricultural population. The current study also provides scientific explanation for the healthy and reasonable development of urban land as well as the coordinated development of population urbanization and land urbanization.
- Chinese city /
- urban land /
- size distribution /
- spatiotemporal evolution /
- remote sensing

[1]	Anderson G, Ge Y, 2005. The size distribution of Chinese cities. Regional Science and Urban Economics, 35(6):756-776. doi: 10.1016/j.regsciurbeco.2005.01.003
[2]	Auerbach F, 1913. Das Gesetz der Belvolkerungskoncertration. Petermanns Geographische Mitteilungen, 59:74-76. (in German)
[3]	Berry B J L, 1961. City size distributions and economic devel-opment. Economic Development and Cultural Change, 9(4):573-588.
[4]	Berry B J L, Okulicz-Kozaryn A, 2012. The city size distribution debate:resolution for US urban regions and megalopolitan aras. Cities, 29(1):17-23. doi: 10.1016/j.cities.2011.11.007
[5]	CCSY (Department of city social economy investigation bureau of statistics of China), 1988; 1996; 2001; 2011. China City Statistical Yearbook 1987/1996/2001/2011. Beijing:China Sta-tistics Press. (in Chinese)
[6]	CESY (Department of population and employment statistics na-tional bureau of statistics of China), 2006; 2011. China Population and Employment Statistics Yearbook 2006/2011. Beijing:China Statistics Press. (in Chinese)
[7]	Chan K W, 2010. The household registration system and migrant labor in China:notes on a debate. Population and Development Review, 36(2):357-364. doi: 10.1111/j.1728-4457.2010.00333.x
[8]	Córdoba J C, 2008. On the distribution of city sizes. Journal of Urban Economics, 63(1):177-197. doi: 10.1016/j.jue.2007.01.005
[9]	Deng Q H, Gustafsson B, 2014. The Hukou Converters:China's lesser known rural to urban migrants. Journal of Contemporary China, 23(88):657-679. doi: 10.1080/10670564.2013.861147
[10]	Ding C R, 2002. Land policy reform in China:assessment and prospects. Land Use Policy, 20(2):109-120. doi: 10.1016/S0264-8377(02)00073-X
[11]	Duranton G, 2006. Some foundations for Zipf's law:product pro-liferation and local spillovers. Regional Science and Urban Economics, 36(4):542-563. doi: 10.1016/j.regsciurbeco.2006.03.008
[12]	Eeckhout J, 2004. Gibrat's Law for (all) cities. American Economic Review, 94(5):1429-1451. doi: 10.1257/0002828043052303
[13]	Eeckhout J, 2009. Gibrat's Law for (all) cities:a reply. American Economic Review, 99(4):1676-1683. doi: 10.1257/aer.99.4.1676
[14]	Evett S R, Kustas W P, Gowda P H et al., 2012. Overview of the bushland evapotranspiration and agricultural remote sensing experiment 2008 (BEAREX08):a field experiment evaluating methods for quantifying ET at multiple scales. Advances in Water Resources, 50:4-19. doi: 10.1016/j.advwatres.2012.03.010
[15]	Fluet-Chouinard E, Lehner B, Rebelo L M et al., 2015. Develop-ment of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data. Remote Sensing of Environment, 158:348-361. doi: 10.1016/j.rse.2014.10.015
[16]	Gabaix X, 1999. Zipf's Law for cities:an explanation. Quarterly Journal of Economics, 114(3):739-767. doi: 10.1162/003355399556133
[17]	Gan L, Li D, Song S F, 2006. Is the Zipf's law spurious in ex-plaining city-size distributions? Economics Letters, 92(2):256-262. doi: 10.1016/j.econlet.2006.03.004
[18]	Gao J, Wei Y D, Chen W et al., 2014. Economic transition and urban land expansion in Provincial China. Habitat Interna-tional, 44:461-473. doi: 10.1016/j.habitatint.2014.09.002
[19]	González-Val R, 2011. Deviations from Zipf's Law for American cities:an empirical examination. Urban Studies, 48(5):1017-1035. doi: 10.1177/0042098010371394
[20]	Ioannides Y M, Overman H G, 2003. Zipf's Law for cities:an empirical examination. Regional Science and Urban Economics, 33(2):127-137. doi: 10.1016/S0166-0462(02)00006-6
[21]	Ji C Y, Liu Q, Sun D et al., 2001. Monitoring urban expansion with remote sensing in China. International Journal of Remote Sensing, 22(8):1441-1455. doi: 10.1080/01431160117207
[22]	Jiang B, Jia T, 2011. Zipf's law for all the natural cities in the United States:a geospatial perspective. International Journal of Geographical Information Science, 25(8):1269-1281. doi: 10.1080/13658816.2010.510801
[23]	Krugman P, 1996. Confronting the mystery of urban hierarchy. Journal of the Japanese and International Economies, 10(4):399-418. doi: 10.1006/jjie.1996.0023
[24]	Kuang W H, Liu J Y, Zhang Z X et al., 2013. Spatiotemporal dynamics of impervious surface areas across China during the early 21st century. Chinese Science Bulletin, 58(14):1691-1701. doi: 10.1007/s11434-012-5568-2
[25]	Levy M, 2009. Gibrats's Law for (all) cities:comment. The American Economic Review, 99(4):1672-1675. doi: 10.1257/aer.99.4.1672
[26]	Liang S M, 2011. Research on China's urban development strategy based on arable land preservation. Journal of Urban Planning and Development, 137(3):329-336. doi: 10.1061/(ASCE)UP.1943-5444.0000062
[27]	Liu F, Zhang Z X, Shi L F et al., 2016. Urban expansion in China and its spatial-temporal differences over the past four decades. Journal of Geographical Sciences, 26(10):1477-1496. doi: 10.1007/s11442-016-1339-3
[28]	Liu J Y, Deng X Z, 2010. Progress of the research methodologies on the temporal and spatial process of LUCC. Chinese Science Bulletin, 55(14):1354-1362. doi: 10.1007/s11434-009-0733-y
[29]	Liu J Y, Liu M L, Zhuang D F et al., 2003. Study on spatial pattern of land-use change in China during 1995-2000. Science in China Series D:Earth Sciences, 46(4):373-384. doi: 10.1360/03yd9033
[30]	Liu J Y, Zhan J Y, Deng X Z, 2005. Spatio-temporal patterns and driving forces of urban land expansion in China during the economic reform era. Ambio, 34(6):450-455. doi: 10.1579/0044-7447-34.6.450
[31]	Liu J Y, Zhang Z X, Xu X L et al., 2010. Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences, 20(4):483-494. doi: 10.1007/s11442-010-0483-4
[32]	Malevergne Y, Pisarenko V, Sornette D, 2011. Testing the Pareto against the lognormal distributions with the uniformly most powerful unbiased test applied to the distribution of cities. Physical Review E, 83(3):036111. doi: 10.1103/PhysRevE.83.036111
[33]	Overholt W H, 2010. China in the global financial crisis:rising influence, rising challenges. The Washington Quarterly, 33(1):21-34. doi: 10.1080/01636600903418652
[34]	Rosen K T, Resnick M, 1980. The size distribution of cities:an examination of the Pareto law and primacy. Journal of Urban Economics, 8(2):165-186. doi: 10.1016/0094-1190(80)90043-1
[35]	Shi Lifeng, Liu Fang, Zhang Zengxiang et al., 2015. Spatial dif-ferences of coastal urban expansion in China from 1970s to 2013. Chinese Geographical Science, 25(4):389-403. doi: 10.1007/s11769-015-0765-y
[36]	Simon H A, 1955. On a class of skew distribution functions. Bi-ometrika, 42(3/4):425-440. doi: 10.2307/2333389
[37]	Singer H W, 1936. The 'Courbe des Populations':a parallel to Pareto's law. The Economic Journal, 46(182):254-263.
[38]	Soo K T, 2005. Zipf's Law for cities:a cross-country investigation. Regional Science and Urban Economics, 35(3):239-263. doi: 10.1016/j.regsciurbeco.2004.04.004
[39]	Wang C T, 2012. History of the Chinese family planning program:1970-2010. Contraception, 85(6):563-569. doi: 10.1016/j.contraception.2011.10.013
[40]	Wang J, Chen Y Q, Shao X M et al., 2012. Land-use changes and policy dimension driving forces in China:present, trend and future. Land Use Policy, 29(4):737-749. doi: 10.1016/j.landusepol.2011.11.010
[41]	Wang L, Li C C, Ying Q et al., 2012. China's urban expansion from 1990 to 2010 determined with satellite remote sensing. Chinese Science Bulletin, 57(22):2802-2812. doi: 10.1007/s11434-012-5235-7
[42]	Weng Q H, 2012. Remote sensing of impervious surfaces in the urban areas:requirements, methods, and trends. Remote Sensing of Environment, 117:34-49. doi: 10.1016/j.rse.2011.02.030
[43]	Wulder M A, White J C, Masek J G et al., 2011. Continuity of Landsat observations:short term considerations. Remote Sensing of Environment, 115(2):747-751. doi: 10.1016/j.rse.2010.11.002
[44]	Xue Fei, 2007. The Test of Zipf Law on China's Urban Size and its Influenting Factors. Xiamen:Xiamen University. (in Chinese)
[45]	Zhang Q, Wallace J, Deng X Z et al., 2014. Central versus local states:which matters more in affecting China's urban growth? Land Use Policy, 38:487-496. doi: 10.1016/j.landusepol.2013.12.015
[46]	Zhao S, Zhou D, Zhu C et al., 2015. Rates and patterns of urban expansion in China's 32 major cities over the past three decades. Landscape Ecology, 30(8):1541-1559. doi: 10.1007/s10980-015-0211-7

[1]	Douglas SONO, Ye WEI, Zuoqi CHEN, Ying JIN. Spatiotemporal Evolution of West Africa’s Urban Landscape Characteristics Applying Harmonized DMSP-OLS and NPP-VIIRS Nighttime Light (NTL) Data . Chinese Geographical Science, 2022, 32(6): 933-945. doi: 10.1007/s11769-022-1313-1
[2]	LI Ping, TONG Lianjun, GUO Yanhua, GUO Fuyou. Spatial-temporal Characteristics of Green Development Efficiency and Influencing Factors in Restricted Development Zones: A Case Study of Jilin Province, China . Chinese Geographical Science, 2020, 30(4): 736-748. doi: 10.1007/s11769-020-1142-z
[3]	YAO Yangyang, ZHANG Guojun, XU Zhihua, BIAN Yan. Spatio-temporal Evolution of China's Economic Power Based on Asymmetric Theory . Chinese Geographical Science, 2020, 30(5): 765-775. doi: 10.1007/s11769-020-1148-6
[4]	CAO Yuhong, LIU Meiyun, ZHANG Yu, CHEN Chen, CAO Weidong. Spatiotemporal Evolution of Ecological Security in the Wanjiang City Belt, China . Chinese Geographical Science, 2020, 30(6): 1052-1064. doi: 10.1007/s11769-020-1156-6
[5]	WANG Kuifeng. Evolution of Yellow River Delta Coastline Based on Remote Sensing from 1976 to 2014, China . Chinese Geographical Science, 2019, 20(2): 181-191. doi: 10.1007/s11769-019-1023-5
[6]	CHEN Lin, REN Chunying, ZHANG Bai, LI Lin, WANG Zongming, SONG Kaishan. Spatiotemporal Dynamics of Coastal Wetlands and Reclamation in the Yangtze Estuary During Past 50 Years (1960s-2015) . Chinese Geographical Science, 2018, 28(3): 386-399. doi: 10.1007/s11769-017-0925-3
[7]	ZHANG Zengxiang, LIU Fang, ZHAO Xiaoli, WANG Xiao, SHI Lifeng, XU Jinyong, YU Sisi, WEN Qingke, ZUO Lijun, YI Ling, HU Shunguang, LIU Bin. Urban Expansion in China Based on Remote Sensing Technology: A Review . Chinese Geographical Science, 2018, 28(5): 727-743. doi: 10.1007/s11769-018-0988-9
[8]	SERASINGHE PATHIRANAGE Inoka Sandamali, Lakshmi N. KANTAKUMAR, SUNDARAMOORTHY Sivanantharajah. Remote Sensing Data and SLEUTH Urban Growth Model: As Decision Support Tools for Urban Planning . Chinese Geographical Science, 2018, 28(2): 274-286. doi: 10.1007/s11769-018-0946-6
[9]	QIAO Weifeng, GAO Junbo, LIU Yansui, QIN Yueheng, LU Cheng, JI Qingqing. Evaluation of Intensive Urban Land Use Based on an Artificial Neural Network Model:A Case Study of Nanjing City, China . Chinese Geographical Science, 2017, 27(5): 735-746. doi: 10.1007/s11769-017-0905-7
[10]	WANG Yingjie, LI Hongsheng, YU Zhuoyuan, LUO Bin. Approaches to Census Mapping: Chinese Solution in 2010 Rounded Census . Chinese Geographical Science, 2012, 22(3): 356-366.
[11]	WU Quan-yuan. STUDY ON SPATIAL LANDSCAPE PATTERN OF YANTAI CITY BASED ON RS AND GIS . Chinese Geographical Science, 2003, 13(3): 254-258.
[12]	WANG Wei-wu, ZHU Li-zhong, WANG Ren-chao, SHI Yong-jun. ANALYSIS ON THE SPATIAL DISTRIBUTION VARIATION CHARACTERISTIC OF URBAN HEAT ENVIRONMENTAL QUALITY AND ITS MECHANISM—A Case Study of Hangzhou City . Chinese Geographical Science, 2003, 13(1): 39-47.
[13]	CHANG Li-ping, ZHANG Shu-wen. ANALYSIS OF THE EXPANSION OF THE BUILT-UP AREA OF DALIAN CITY . Chinese Geographical Science, 2002, 12(4): 373-377.
[14]	XU Han-qiu. AN ASSESSMENT OF LAND USE CHANGES IN FUQING COUNTY OF CHINA USING REMOTE SENSING TECHNOLOGY . Chinese Geographical Science, 2002, 12(2): 126-135.
[15]	HU Yuan-man, JIANG Yan, CHANG Yu, BU Ren-cang, LI Yue-hui, XU Chong-gang. THE DYNAMIC MONITORING OF HORQIN SAND LAND USING REMOTE SENSING . Chinese Geographical Science, 2002, 12(3): 238-243.
[16]	LIU Ming-liang, ZHUANG Da-fang, LIU Ji-yuan. FARMLAND AND URBAN AREA DYNAMICS MONITORING IN CHINA USING REMOTE SENSING AND SPATIAL STATISTICS METHODOLOGY . Chinese Geographical Science, 2001, 11(1): 42-49.
[17]	庄大方, 凌扬荣, Yoshio Awaya. INTEGRATED VEGETATION CLASSIFICATION AND MAPPING USING REMOTE SENSING AND GIS TECHNIQUES . Chinese Geographical Science, 1999, 9(1): 49-56.
[18]	千怀遂. REGIONALIZATION FOR LARGE AREA CROP ESTIMATES BY REMOTE SENSING ——A Case Study of Chinese Wheat . Chinese Geographical Science, 1998, 8(3): 204-211.
[19]	黄铁青, 刘兆礼, 潘瑜春, 张养贞. LAND COVER SURVEY IN NORTHEAST CHINA USING REMOTE SENSING AND GIS . Chinese Geographical Science, 1998, 8(3): 264-270.
[20]	张养贞, 常丽萍, 张柏, 张树文, 黄铁青, 刘雅琴. LAND RESOURCES SURVEY BY REMOTE SENSING AND ANALYSIS OF LAND CARRYING CAPACITY FOR POPULATION IN TUMEN RIVER REGION . Chinese Geographical Science, 1996, 6(4): 342-350.

点击查看大图

计量

文章访问数: 453
HTML全文浏览量: 9
PDF下载量: 1004
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

City Size Distribution and Its Spatiotemporal Evolution in China

doi: 10.1007/s11769-016-0832-z

通讯作者:
LIU Fang.E-mail:liufang@radi.ac.cn

City Size Distribution and Its Spatiotemporal Evolution in China

Corresponding author: LIU Fang.E-mail:liufang@radi.ac.cn

计量

City Size Distribution and Its Spatiotemporal Evolution in China

doi: 10.1007/s11769-016-0832-z

1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;

2. University of Chinese Academy of Sciences, Beijing 100049, China

通讯作者: LIU Fang.E-mail:liufang@radi.ac.cn

English Abstract

City Size Distribution and Its Spatiotemporal Evolution in China

1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;

2. University of Chinese Academy of Sciences, Beijing 100049, China

Corresponding author: LIU Fang.E-mail:liufang@radi.ac.cn

全文HTML

目录

留言板

City Size Distribution and Its Spatiotemporal Evolution in China

doi: 10.1007/s11769-016-0832-z

通讯作者: LIU Fang.E-mail:liufang@radi.ac.cn

City Size Distribution and Its Spatiotemporal Evolution in China

Corresponding author: LIU Fang.E-mail:liufang@radi.ac.cn

计量

出版历程

City Size Distribution and Its Spatiotemporal Evolution in China

doi: 10.1007/s11769-016-0832-z

1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China

通讯作者: LIU Fang.E-mail:liufang@radi.ac.cn

English Abstract

City Size Distribution and Its Spatiotemporal Evolution in China

1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; 2. University of Chinese Academy of Sciences, Beijing 100049, China

Corresponding author: LIU Fang.E-mail:liufang@radi.ac.cn

全文HTML

目录

通讯作者:
LIU Fang.E-mail:liufang@radi.ac.cn

1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;

2. University of Chinese Academy of Sciences, Beijing 100049, China

1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;

2. University of Chinese Academy of Sciences, Beijing 100049, China