Coupling Coordination Relationship between Urban Sprawl and Urbanization Quality in the West Taiwan Strait Urban Agglomeration, China: Observation and Analysis from DMSP/OLS Nighttime Light Imagery and Panel Data

Urban sprawl is the most prominent characteristic of urbanization, and increasingly affects local and regional sustainable development. The observation and analysis of urban sprawl dynamics and their relationship with urbanization quality are essential for framing integrative urban planning. In this study, the urban areas of the West Taiwan Strait Urban Agglomeration (WTSUA) were extracted using nighttime light imagery from 1992 to 2013. The spatio-temporal characteristics and pattern of urban sprawl were quantitatively analyzed by combining an urban expansion rate index and a standard deviation ellipse model. The urbanization quality was assessed using an entropy weight model, and its relationship with urban sprawl was calculated by a coupling coordination degree model. The results showed that the urban area in the WTSUA experienced a significant increase, i.e., 18,806.73 km2, during the period 1992–2013. The central cities grew by 11.08% and noncentral cities by 27.43%, with a general uneven city rank-size distribution. The urban sprawl showed a circular expansion pattern, accompanied by a gradual centroid migration of urban areas from the southeast coast to the central-western regions. The coupling coordination level between urban expansion and urbanization quality increased from serious incoordination in 1992 to basic coordination in 2013. Dual driving forces involving state-led policies and market-oriented land reform had a positive influence on the harmonious development of urban sprawl and urbanization quality of the WTSUA. This research offers an effective approach to monitor changes in urban sprawl and explore the coupling coordination relationship between urban sprawl and urbanization quality. The study provides important scientific references for the formulation of future policies and planning for sustainable development in urban agglomerations.

[1]  Reid Ewing,et al.  A longitudinal study of changes in urban sprawl between 2000 and 2010 in the United States , 2014 .

[2]  Xinyue Ye,et al.  Land fragmentation and variation of ecosystem services in the context of rapid urbanization: the case of Taizhou city, China , 2014, Stochastic Environmental Research and Risk Assessment.

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

[4]  Aiwen Lin,et al.  Spatiotemporal Dynamics and Driving Forces of Urban Land-Use Expansion: A Case Study of the Yangtze River Economic Belt, China , 2020, Remote. Sens..

[5]  Yuyu Zhou,et al.  Remote sensing of night-time light , 2017 .

[6]  Qian Zhou,et al.  Coupling coordination degree measurement and spatiotemporal heterogeneity between economic development and ecological environment ----Empirical evidence from tropical and subtropical regions of China , 2020, Journal of Cleaner Production.

[7]  P. Nijkamp,et al.  Sustainable Cities in Europe , 2009 .

[8]  Michael Jendryke,et al.  A preliminary investigation of Luojia-1 night-time light imagery , 2019, Remote Sensing Letters.

[9]  Lei Ma,et al.  A Novel Wrapper Approach for Feature Selection in Object-Based Image Classification Using Polygon-Based Cross-Validation , 2017, IEEE Geoscience and Remote Sensing Letters.

[10]  Yuyu Zhou,et al.  A global record of annual urban dynamics (1992–2013) from nighttime lights , 2018, Remote Sensing of Environment.

[11]  Carl-Johan Lagerkvist,et al.  Urban sprawl, food security and agricultural systems in developing countries: A systematic review of the literature , 2019, Cities.

[12]  C. Elvidge,et al.  Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .

[13]  Mingxing Chen,et al.  Evolution and assessment on China's urbanization 1960–2010: Under-urbanization or over-urbanization? , 2013 .

[14]  Yan Song,et al.  Impacts of land finance on urban sprawl in China: The case of Chongqing , 2018 .

[15]  X. Yu,et al.  Spatial and temporal dynamics of urban sprawl along two urban–rural transects: A case study of Guangzhou, China , 2007 .

[16]  Julia Fahrenkamp-Uppenbrink,et al.  Cities are the Future. , 2016, Science.

[17]  Hashem Dadashpoor,et al.  Urban sprawl on natural lands: analyzing and predicting the trend of land use changes and sprawl in Mazandaran city region, Iran , 2018, Environment, Development and Sustainability.

[18]  Bagher Bagheri,et al.  An explanation of urban sprawl phenomenon in Shiraz Metropolitan Area (SMA) , 2017 .

[19]  Vicente Royuela,et al.  Malthus living in a slum: Urban concentration, infrastructures and economic growth , 2017 .

[20]  P. Fan,et al.  Measuring urban sprawl and its drivers in large Chinese cities: The case of Hangzhou , 2013 .

[21]  Likang Tian,et al.  Impacts of state-led and bottom-up urbanization on land use change in the peri-urban areas of Shanghai: Planned growth or uncontrolled sprawl? , 2017 .

[22]  Haizhen Wen,et al.  Spatial Structure Evolution of Urban Agglomerations and Its Driving Factors in Mainland China: From the Monocentric to the Polycentric Dimension , 2019, Sustainability.

[23]  Kun-Min Zhang,et al.  Review and challenges of policies of environmental protection and sustainable development in China. , 2008, Journal of environmental management.

[24]  Rohini S. Ochawar,et al.  Urban sprawl detection and analysis using unsupervised classification of high resolution image data of Jawaharlal Nehru Port Trust area in India , 2020 .

[25]  Karen C. Seto,et al.  Characterizing urban infrastructural transitions for the Sustainable Development Goals using multi-temporal land, population, and nighttime light data , 2019 .

[26]  Yueliang Ma,et al.  Remote sensing monitoring and driving force analysis of urban expansion in Guangzhou City, China , 2010 .

[27]  Jakub Kronenberg,et al.  Is urban sprawl linked to green space availability? , 2020 .

[28]  Zhou Tao,et al.  Identifying the internal structure evolution of urban built-up land sprawl (UBLS) from a composite structure perspective: A case study of the Beijing metropolitan area, China , 2017 .

[29]  Yi Pan,et al.  Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[30]  Yi Chen,et al.  Built-up land efficiency in urban China: Insights from the General Land Use Plan (2006–2020) , 2016 .

[31]  Zhulu Lin,et al.  Assessing urbanization quality using structure and function analyses: A case study of the urban agglomeration around Hangzhou Bay (UAHB), China , 2015 .

[32]  Hong Yuan,et al.  Measuring urban sprawl in Beijing with geo-spatial indices , 2007 .

[33]  F. Deng,et al.  Uneven land reform and urban sprawl in China: the case of Beijing , 2004 .

[34]  G. Jiang,et al.  How does sprawl differ across urban built-up land types in China? A spatial-temporal analysis of the Beijing metropolitan area using granted land parcel data , 2016 .

[35]  Mikhail Zhizhin,et al.  A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .

[36]  William Ho,et al.  Integrated analytic hierarchy process and its applications - A literature review , 2008, Eur. J. Oper. Res..

[37]  Kaishan Song,et al.  Analysis of Coupling Coordination Variance between Urbanization Quality and Eco-Environment Pressure: A Case Study of the West Taiwan Strait Urban Agglomeration, China , 2020, Sustainability.

[38]  Wenze Yue,et al.  Measuring sprawl in large Chinese cities along the Yangtze River via combined single and multidimensional metrics , 2016 .

[39]  Zhen Liu,et al.  Urban sprawl among Chinese cities of different population sizes , 2018, Habitat International.

[40]  Ravi Kanbur,et al.  Fifty Years of Regional Inequality in China: A Journey Through Central Planning, Reform, and Openness , 2005 .

[41]  Qingquan Li,et al.  Spatiotemporal evolution of urban agglomerations in four major bay areas of US, China and Japan from 1987 to 2017: Evidence from remote sensing images. , 2019, The Science of the total environment.

[42]  D. Gataric,et al.  Urban System in Serbia—The Factor in the Planning of Balanced Regional Development , 2019, Sustainability.

[43]  Jiahua Pan,et al.  From Industrial Toward Ecological in China , 2012, Science.

[44]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[45]  Bin Wang,et al.  Confidence Analysis of Standard Deviational Ellipse and Its Extension into Higher Dimensional Euclidean Space , 2015, PloS one.

[46]  Jiang Fang,et al.  Measuring urban sprawl in Beijing with geo-spatial indices , 2007 .

[47]  Chunyang He,et al.  How does sprawl differ across cities in China? A multi-scale investigation using nighttime light and census data , 2016 .

[48]  Ahmad Makmom Abdullah,et al.  Delphi Method of Developing Environmental Well-being Indicators for the Evaluation of Urban Sustainability in Malaysia , 2015 .

[49]  Zhu Qian,et al.  Land acquisition compensation in post-reform China: Evolution, structure and challenges in Hangzhou , 2015 .

[50]  K. Seto,et al.  Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data , 2011 .

[51]  Monica Wachowicz,et al.  Finding spatial outliers in collective mobility patterns coupled with social ties , 2016, Int. J. Geogr. Inf. Sci..

[52]  Qiang Du,et al.  Relationship of carbon emissions and economic growth in China's construction industry , 2019, Journal of Cleaner Production.

[53]  Weiqi Zhou,et al.  Urban mapping needs up-to-date approaches to provide diverse perspectives of current urbanization: A novel attempt to map urban areas with nighttime light data , 2020, Landscape and Urban Planning.

[54]  I. Martínez‐Zarzoso.  The Impact of Urbanization on Co2 Emissions: Evidence from Developing Countries , 2008, SSRN Electronic Journal.

[55]  Xinhai Lu,et al.  Measurement of the eco-environmental effects of urban sprawl: Theoretical mechanism and spatiotemporal differentiation , 2019, Ecological Indicators.

[56]  Qiming Qin,et al.  Application of Luojia 1-01 Nighttime Images for Detecting the Light Changes for the 2019 Spring Festival in Western Cities, China , 2020, Remote. Sens..

[57]  Mingsheng Hu,et al.  Dynamic simulation and assessment of the coupling coordination degree of the economy-resource-environment system: Case of Wuhan City in China. , 2019, Journal of environmental management.

[58]  J. Adamowski,et al.  Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada , 2012 .

[59]  Zhang-peng Tian,et al.  Multi-criteria decision-making method based on a cross-entropy with interval neutrosophic sets , 2015, Int. J. Syst. Sci..

[60]  Wei Chen,et al.  Analyzing the impact of urbanization quality on CO2 emissions: What can geographically weighted regression tell us? , 2019, Renewable and Sustainable Energy Reviews.

[61]  Zhifeng Liu,et al.  Detecting the 20 year city-size dynamics in China with a rank clock approach and DMSP/OLS nighttime data , 2015 .

[62]  Nana Liu,et al.  Examining the coordination between urbanization and eco-environment using coupling and spatial analyses: A case study in China , 2018, Ecological Indicators.

[63]  Desheng Dash Wu,et al.  Online banking performance evaluation using data envelopment analysis and principal component analysis , 2009, Comput. Oper. Res..

[64]  Atiqur Rahman,et al.  Monitoring Urban Sprawl Using Remote Sensing and GIS Techniques of a Fast Growing Urban Centre, India , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[65]  Dong Li,et al.  Assessment and forecast of Beijing and Shanghai's urban ecosystem health. , 2014, The Science of the total environment.

[66]  Ying Liang,et al.  Are social security policies for Chinese landless farmers really effective on health in the process of Chinese rapid urbanization? a study on the effect of social security policies for Chinese landless farmers on their health-related quality of life , 2014, International Journal for Equity in Health.

[67]  C. Fang,et al.  Urban agglomeration: An evolving concept of an emerging phenomenon , 2017 .

[68]  Deepak Khare,et al.  Monitoring and modelling of urban sprawl using remote sensing and GIS techniques , 2008, Int. J. Appl. Earth Obs. Geoinformation.

[69]  Zhifeng Liu,et al.  Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008 , 2012 .

[70]  Mingming Jia,et al.  Diverse policies leading to contrasting impacts on land cover and ecosystem services in Northeast China , 2019 .

[71]  Lakshmi N. Kantakumar,et al.  Spatiotemporal urban expansion in Pune metropolis, India using remote sensing , 2016 .

[72]  Noam Levin,et al.  Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image – Jerusalem as a case study , 2020 .

[73]  Wei Ya-ping,et al.  Urban spill over vs. local urban sprawl: Entangling land-use regulations in the urban growth of China's megacities , 2009 .

[74]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.