Redefining Chinese city system with emerging new data

Abstract Modern Chinese cities are defined from the administrative view and classified into several administrative categories, which makes it inconsistent between Chinese cities and their counterparts in western countries. Without easy access to fine-scale data, researchers have to rely heavily on statistical and aggregated indicators available in officially released yearbooks, to understand Chinese city system. Not to mention the data quality of yearbooks, it is problematic that a large number of towns or downtown areas of counties are not addressed in yearbooks. To address this issue, as a following study of Long et al. (2016), we have redefined the Chinese city system, using percolation theory in the light of newly emerging big/open data. In this paper, we propose our alternative definition of a city with road/street junctions, and present the methodology for extracting city system for the whole country with national wide road junctions. A city is defined as “a spatial cluster with a minimum of 100 road/street junctions within a 300 m distance threshold”. Totally we identify 4629 redefined cities with a total urban area of 64,144 km2 for the whole China. We observe total city number increases from 2273 in 2009 to 4629 in 2014. We find that expanded urban area during 2009 and 2014, comparing with urban areas in 2009 are associated with 73.3% road junction density, 25.3% POI density and 5.5% online comment density. In addition, we benchmark our results with the conventional Chinese city system by using yearbooks.

[1]  Paul Krugman Urban Concentration: The Role of Increasing Returns and Transport Costs , 1994 .

[2]  Bin Jiang,et al.  Zipf's law for all the natural cities in the United States: a geospatial perspective , 2010, Int. J. Geogr. Inf. Sci..

[3]  Mao Qizh,et al.  SPATIO-TEMPORAL CHANGES OF POPULATION DENSITY AND EXPLORATION ON URBANIZATION PATTERN IN CHINA:2000-2010 , 2015 .

[4]  M. Batty Rank clocks , 2006, Nature.

[5]  Xingjian Liu,et al.  Automated identification and characterization of parcels (AICP) with OpenStreetMap and Points of Interest , 2013, ArXiv.

[6]  Hierarchical organisation of Britain through percolation theory , 2015 .

[7]  B. Jiang Head/Tail Breaks: A New Classification Scheme for Data with a Heavy-Tailed Distribution , 2012, 1209.2801.

[8]  M. Batty,et al.  Limited Urban Growth: London's Street Network Dynamics since the 18th Century , 2012, PloS one.

[9]  George Kingsley Zipf,et al.  Human behavior and the principle of least effort , 1949 .

[10]  Xingjian Liu Featured Graphic. Visualizing Urban Gastronomy in China , 2014 .

[11]  Xiaobin Jin,et al.  Mapping Block-Level Urban Areas for All Chinese Cities , 2016 .

[12]  Xiangzheng Deng,et al.  Economic Growth and the Expansion of Urban Land in China , 2010 .

[13]  Bin Jiang,et al.  The Evolution of Natural Cities from the Perspective of Location-Based Social Media , 2014, Digital Social Networks and Travel Behaviour in Urban Environments.

[14]  B. Jiang,et al.  Ht-Index for Quantifying the Fractal or Scaling Structure of Geographic Features , 2013, 1305.0883.

[15]  J. Parr Metropolitan Area Definition: A Reevaluation of Concept and Statistical Practice , 1970 .

[16]  Michael Batty,et al.  Diverse cities or the systematic paradox of Urban Scaling Laws , 2017, Comput. Environ. Urban Syst..

[17]  Xiya Zhang,et al.  Regional urban extent extraction using multi-sensor data and decision rules , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[18]  Jinyan Zhan,et al.  Spatio-temporal Patterns and Driving Forces of Urban Land Expansion in China during the Economic Reform Era , 2005, Ambio.

[19]  Yu Liu,et al.  Ghost Cities Analysis Based on Positioning Data in China , 2015, ArXiv.

[20]  Jiyuan Liu,et al.  Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s , 2014, Journal of Geographical Sciences.

[21]  Qi Zhou,et al.  Comparative Study of Approaches to Delineating Built‐Up Areas Using Road Network Data , 2015, Trans. GIS.

[22]  Michael Batty,et al.  Logistic Growth and Ergodic Properties of Urban Forms , 2015 .

[23]  Tian Yongzhong,et al.  Simulation of Chinese Population Density Based on Land Use , 2004 .

[25]  Linlin Lu,et al.  Monitoring urbanization dynamics in the Southeast U.S. using DMSP/OLS nightlight time series , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[26]  Xingjian Liu,et al.  Featured Graphic. Mushrooming Jiedaos, Growing Cities: An Alternative Perspective on Urbanizing China , 2015 .

[27]  Chunyang He,et al.  How Did Urban Land Expand in China between 1992 and 2015? A Multi-Scale Landscape Analysis , 2016, PloS one.

[28]  Zhifeng Liu,et al.  Urban expansion dynamics and natural habitat loss in China: a multiscale landscape perspective , 2014, Global change biology.