Evaluating the Temporal and Spatial Urban Expansion Patterns of Guangzhou from 1979 to 2003 by Remote Sensing and GIS Methods

China has experienced and is experiencing expeditious urban expansion in the recent decades, especially in the coastal areas and big cities. Rapid urban expansion and dramatic changes of landscape have caused great economic, environmental and social impacts consequently. It is crucial to understand urban temporal, spatial expansion patterns and their related effects. In this paper, urban expansion of Guangzhou, a rapid growing city in south‐east China, from 1979 to 2003 is studied temporally and spatially. Four time ranges including 1979–1990, 1990–1995, 1995–2000 and 2000–2003 are designed and the urban expansion area, expansion rate and the spatial expansion pattern are discussed by using remote sensing data and Geographical Information System (GIS) tool. Two transects are designed along two axes of Guangzhou expansion and the structural of urban expansion patches at different orientations are compared in order to quantitively understand the urban expansion of Guangzhou during the past 24 years. The gradient analysis integrating multi‐temporal data is performed in order to analyze and compare the spatial and temporal dynamics of urban expansion. Two indices of compactness and fractal dimensional index are used to describe the urban developing pattern in the study time durations. And the influence of different types of traffic roads to urban expansion is evaluated using the buffer analysis of GIS. The results show that: (1) temporally, urban area of Guangzhou increase 296.54 km2 from 141.15 km2 in 1979 to 437.70 km2 in 2003 and the increasing rate is up to 210.08%; (2) spatially, Guangzhou has different urban expanding directions in different stages and the general expanding directions are towards northeast, north, southeast and north in four studied time ranges; (3) transportation lines play a very important role in urban expansion of Guangzhou, but different types of road have different impacts. National roads and highways exhibit stronger control to urban expansion than provincial roads; and (4) expansion of Guangzhou has gradually changed from a compact pattern to leapfrogging and disordering patterns.

[1]  John F. Richards,et al.  The Cambridge Encyclopedia of Human Evolution.@@@The Earth as Transformed by Human Action: Global and Regional Changes in the Biosphere Over the Past 300 Years. , 1993 .

[2]  Xia Li,et al.  Sustainable Land Development Model for Rapid Growth Areas Using GIS , 1998, Int. J. Geogr. Inf. Sci..

[3]  Michael Batty,et al.  Fractal Cities: A Geometry of Form and Function , 1996 .

[4]  Li Xiubin,et al.  Spatial patterns of urban land use growth in Beijing , 2002 .

[5]  Jianguo Wu,et al.  Linking Land-use Change with Ecosystem Processes: A Hierarchical Patch Dynamic Model , 2003 .

[6]  A. Sorensen,et al.  Land Readjustment and Metropolitan Growth: An Examination of Suburban Land Development and Urban Sprawl in the Tokyo Metropolitan Area , 2000 .

[7]  Executive Summary World Urbanization Prospects: The 2018 Revision , 2019 .

[8]  R. Meaille,et al.  Using geographical information system and satellite imagery within a numerical simulation of regional urban growth , 1990, Int. J. Geogr. Inf. Sci..

[9]  Qihao Weng A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China , 2001 .

[10]  Martin Herold,et al.  The spatiotemporal form of urban growth: measurement, analysis and modeling , 2003 .

[11]  D. Sui,et al.  Modeling the dynamics of landscape structure in Asia's emerging desakota regions : a case study in Shenzhen , 2001 .

[12]  Mark Rounsevell,et al.  Please Scroll down for Article International Journal of Geographical Information Science Exploring Spatial Data Uncertainties in Land-use Change Scenarios Exploring Spatial Data Uncertainties in Land-use Change Scenarios , 2022 .

[13]  I. Masser,et al.  Urban growth pattern modeling: a case study of Wuhan city, PR China , 2003 .

[14]  Michael P. Prisloe,et al.  Development of a geospatial model to quantify, describe and map urban growth , 2003 .

[15]  F. Lindsay,et al.  Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations , 2000 .

[16]  Zhiqiang Feng,et al.  State-Sponsored and Spontaneous Urbanization in the Pearl River Delta of South China, 1980-1998 , 2002 .

[17]  A. Yeh,et al.  Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta , 1998 .

[18]  A. Yeh,et al.  City profile - Guangzhou , 2003 .

[19]  Paul M. Mather,et al.  An assessment of the effectiveness of decision tree methods for land cover classification , 2003 .

[20]  Anthony Gar-On Yeh,et al.  Analyzing spatial restructuring of land use patterns in a fast growing region using remote sensing and GIS , 2004 .

[21]  Karen C. Seto,et al.  Change detection, accuracy, and bias in a sequential analysis of Landsat imagery in the Pearl River Delta, China: econometric techniques , 2001 .

[22]  A. Yeh,et al.  Economic Development and Agricultural Land Loss in the Pearl River Delta , 1997 .

[23]  Guoqiang Shen,et al.  Fractal dimension and fractal growth of urbanized areas , 2002, Int. J. Geogr. Inf. Sci..

[24]  C. Webster Urban Morphological Fingerprints , 1995 .

[25]  G. D. Jenerette,et al.  © 2001 Kluwer Academic Publishers. Printed in the Netherlands. Research Article Analysis and simulation of land-use change in the central Arizona – , 2022 .

[26]  Qihao Weng Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. , 2002, Journal of environmental management.

[27]  A. Yeh,et al.  Economic Development and Agricultural Land Loss in the Pearl River Delta, China , 1999 .

[28]  Manfred Ehlers,et al.  Application of SPOT data for regional growth analysis and local planning , 1990 .

[29]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[30]  LI X.,et al.  Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta , 2001 .

[31]  C. Woodcock,et al.  Monitoring land-use change in the Pearl River Delta using Landsat TM , 2002 .

[32]  K. Seto,et al.  Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data , 2003, Land Economics.

[33]  A. Yeh,et al.  Changing Spatial Distribution and Determinants of Land Development in Chinese Cities in the Transition from a Centrally Planned Economy to a Socialist Market Economy: A Case Study of Guangzhou , 1997 .

[34]  Douglas A. Stow,et al.  Category identification of changed land-use polygons in an integrated image processing/geographic information system , 1992 .

[35]  Jianguo Wu,et al.  A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA , 2004, Landscape Ecology.

[36]  R. Tateishi,et al.  Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing , 2006 .

[37]  Shi Pei,et al.  Landuse Change Mechanism in Shenzhen City , 2000 .

[38]  A. Yeh,et al.  An integrated remote sensing and GIS approach in the monitoring and evaluation of rapid urban growth for sustainable development in the Pearl River Delta, China , 1997 .

[39]  S. Ventura,et al.  THE INTEGRATION OF GEOGRAPHIC DATA WITH REMOTELY SENSED IMAGERY TO IMPROVE CLASSIFICATION IN AN URBAN AREA , 1995 .

[40]  C. Woodcock,et al.  An assessment of several linear change detection techniques for mapping forest mortality using multitemporal landsat TM data , 1996 .

[41]  Urban Land Use Change in Lhasa , 2000 .

[42]  Guangjin Tian,et al.  Socio-economic driving forces of arable land conversion: A case study of Wuxian City, China , 2005 .

[43]  L. Muñoz-Villers,et al.  Land use/cover changes using Landsat TM/ETM images in a tropical and biodiverse mountainous area of central‐eastern Mexico , 2008 .

[44]  Giles M. Foody,et al.  Status of land cover classification accuracy assessment , 2002 .

[45]  R. Camagni,et al.  Urban mobility and urban form: the social and environmental costs of different patterns of urban expansion , 2002 .

[46]  Karen Payne,et al.  Techniques for Mapping Suburban Sprawl , 2002 .

[47]  Qinhuo Liu,et al.  Monitoring urban expansion with remote sensing in China , 2001 .