Extraction and Spatial-Temporal Evolution of Urban Fringes: A Case Study of Changchun in Jilin Province, China

An urban fringe area, depicted as a typical ecotone, is a region where both social and environmental problems are concentrated. Identifying and evaluating the spatial–temporal characteristics of urban fringe areas is significant for future development. On the basis of the land use data extracted from remote sensing data, the Shannon diversity index (SHDI) of each unit can be calculated, and identifying the urban fringe area by the breakpoint method is reliable. By using the rapidly growing Changchun as example, this study identifies the urban fringe of Changchun in 1995, 2005, and 2015 by applying the breakpoint method. The expansion amount, change mode, direction of expansion, landscape, and influence factors are evaluated. Policy and planning are the main factors influencing the development direction of the Changchun fringe area. The urban fringe area of Changchun City is extended to the east, southeast, and north. From 1995 to 2005, the outlying expansion was the dominant type. The main change mode was the infilling type due to the reduction of available land, from 2005 to 2015. In accordance with the landscape metrics, the landscape within the urban fringe transformed from fragmentation to regularization. The development of the urban fringe also transformed from a disorderly to an orderly manner.

[1]  Dongyan Wang,et al.  Decreased Landscape Ecological Security of Peri-Urban Cultivated Land Following Rapid Urbanization: An Impediment to Sustainable Agriculture , 2018 .

[2]  Qiming Zhou,et al.  Delineating Urban Fringe Area by Land Cover Information Entropy - An Empirical Study of Guangzhou-Foshan Metropolitan Area, China , 2016, ISPRS Int. J. Geo Inf..

[3]  Mingguo Ma,et al.  Spatial Recognition of the Urban-Rural Fringe of Beijing Using DMSP/OLS Nighttime Light Data , 2017, Remote. Sens..

[4]  Wei Xu,et al.  Informal Land Development on the Urban Fringe , 2018 .

[5]  David M. Theobald,et al.  Land‐Use Dynamics Beyond the American Urban Fringe* , 2001 .

[6]  Guiying Li,et al.  Methods to extract impervious surface areas from satellite images , 2014, Int. J. Digit. Earth.

[7]  W. Xu.  The Changing Dynamics of Land-Use Change in Rural China: A Case Study of Yuhang, Zhejiang Province , 2004 .

[8]  R. O'Neill,et al.  A factor analysis of landscape pattern and structure metrics , 1995, Landscape Ecology.

[9]  K. McGarigal,et al.  FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. , 1995 .

[10]  Zhang Wen,et al.  Method to Identify the Urban rural Fringe by TM Images , 1999 .

[11]  P. D. Converse,et al.  New Laws of Retail Gravitation , 1949 .

[12]  Stephen Glackin,et al.  Becoming Urban: Exploring the Transformative Capacity for a Suburban-to-Urban Transition in Australia’s Low-Density Cities , 2017 .

[13]  Yang Xinting,et al.  CONFIRMATION OF URBAN FRINGE AREA BASED ON REMOTE SENSING AND MESSAGE ENTROPY——A CASE STUDY OF JINGZHOU,HUBEI PROVINCE , 2007 .

[14]  杨俊 Yang Jun,et al.  Urban fringe area ecological vulnerability space-time evolution research: the case of Ganjingzi District, Dalian , 2018 .

[15]  Weiqi Zhou,et al.  A new approach for land cover classification and change analysis: Integrating backdating and an object-based method , 2016 .

[16]  Shichun Zhang,et al.  Characteristics and cause analysis of heavy haze in Changchun City in Northeast China , 2017, Chinese Geographical Science.

[17]  Chaolin Gu,et al.  China’s urbanization in 1949–2015: Processes and driving forces , 2017, Chinese Geographical Science.

[18]  Xin Yu,et al.  Classification of Complex Urban Fringe Land Cover Using Evidential Reasoning Based on Fuzzy Rough Set: A Case Study of Wuhan City , 2016, Remote. Sens..

[19]  Mingyue Liu,et al.  Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015 , 2018 .

[20]  Neville D. Crossman,et al.  Agricultural Land Fragmentation at Urban Fringes: An Application of Urban-To-Rural Gradient Analysis in Adelaide , 2017 .

[21]  Ma Zhengan.  Analysis of city spatial expansion characteristics and influencing factors of transitional zone city:taking Zhangjiakou city as an example , 2014 .

[22]  Jianguo Wu,et al.  Empirical patterns of the effects of changing scale on landscape metrics , 2002, Landscape Ecology.

[23]  B. Ripley.  The Second-Order Analysis of Stationary Point Processes , 1976 .

[24]  B. Bhatta.  Analysis of urban growth pattern using remote sensing and GIS: a case study of Kolkata, India , 2009 .

[25]  Jiang Jun,et al.  The study on spatial expansion and its driving forces in the urban fringe of Beijing , 2010 .

[26]  XU Xin-guo.  Research on the Division Methods of Spatial Boundary in Urban-rural Fringe , 2010 .

[27]  Limin Yang,et al.  Spatial Patterns and the Regional Differences of Rural Settlements in Jilin Province, China , 2017 .

[28]  James P. LeSage,et al.  Using home buyers’ revealed preferences to define the urban–rural fringe , 2008, J. Geogr. Syst..

[29]  Annemarie Schneider,et al.  Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach , 2012 .