Spatial Determinants of Urban Land Conversion in Large Chinese Cities: A Case of Hangzhou

In this research we assessed the urban land conversion, and identified the factors responsible for the conversion, from 1995 to 2009 in Hangzhou, a large city located in the lower Yangtze River Delta of China. We mapped urban land from satellite images by using a hybrid approach of spectral mixture analysis, unsupervised classification, and expert rules. We employed binary logistic regression to model the probability of urban land conversion as a function of spatial independent variables. In recent years Hangzhou started its transformation from a compact, monocentric city to a polycentric city. We found that accessibility to the central business district, industrial centers, roads, Qiantang River, the amount of built-up area in the neighborhood, locations of markets, and spatial policies were the major determinants of Hangzhou's urban land conversion. Moreover, the availability of land in the neighborhood has become increasingly important in recent years. We identified several major institutional forces underlying Hangzhou's urban development: administrative annexation and development zones, the increasingly important role of the market, and the unique role of local government. The results from our research indicate the need for policies and plans that can better manage and reduce urban sprawl in Hangzhou.

[1]  Anne Aguiléra Growth in Commuting Distances in French Polycentric Metropolitan Areas: Paris, Lyon and Marseille , 2005 .

[2]  Fulong Wu,et al.  Polycentric Urban Development and Land-Use Change in a Transitional Economy: The Case of Guangzhou , 1998 .

[3]  R. Cervero,et al.  Polycentrism, Commuting, and Residential Location in the San Francisco Bay Area , 1997, Environment & planning A.

[4]  Liu Yu,et al.  Restructuring of Urban Internal Space in China in the Transition Period: Characteristics, Models and Mechanisms , 2007 .

[5]  R. Muth CITIES AND HOUSING; THE SPATIAL PATTERN OF URBAN RESIDENTIAL LAND USE. , 1969 .

[6]  Daniel P. McMillen,et al.  Polycentric urban structure: the case of Milwaukee , 2001 .

[7]  Dengsheng Lu,et al.  Regional mapping of human settlements in southeastern China with multisensor remotely sensed data , 2008 .

[8]  P. Krugman The Self Organizing Economy , 1996 .

[9]  Laurence J. C. Ma,et al.  Restructuring the Chinese City: Changing Society, Economy and Space , 2007 .

[10]  Kathy Pain,et al.  The Polycentric Metropolis: Learning from Mega-City Regions in Europe , 2009 .

[11]  K. Chan Post‐Mao China: A Two‐Class Urban Society in the Making , 1996 .

[12]  Fulong Wu,et al.  Modelling Intrametropolitan Location of Foreign Investment Firms in a Chinese City , 2000 .

[13]  Ton C M de Nijs,et al.  Determinants of Land-Use Change Patterns in the Netherlands , 2004 .

[14]  Fulong Wu,et al.  China's changing economic governance: Administrative annexation and the reorganization of local governments in the Yangtze River Delta , 2006 .

[15]  Alain Bertaud The Spatial Organization of Cities: Deliberate Outcome or Unforeseen Consequence? , 2004 .

[16]  D. Lu,et al.  Use of impervious surface in urban land-use classification , 2006 .

[17]  Y. Wei,et al.  Reforms, Globalization, and Urban Growth in China: The Case of Hangzhou , 2002 .

[18]  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.

[19]  M. Ridd Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities , 1995 .

[20]  J. Kohlhase,et al.  Firm Location in a Polycentric City: The Effects of Taxes and Agglomeration Economies on Location Decisions , 2007 .

[21]  Scott L. Powell,et al.  Quantification of impervious surface in the Snohomish Water Resources Inventory Area of Western Washington from 1972–2006 , 2007 .

[22]  A. Yeh,et al.  Urban Development in Post-Reform China: State, Market, and Space , 2006 .

[23]  Changshan Wu,et al.  Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery , 2004 .

[24]  K. Small,et al.  URBAN SPATIAL STRUCTURE. , 1997 .

[25]  J. Bouma,et al.  A spatial explicit allocation procedure for modelling the pattern of land use change based upon actual land use , 1999 .

[26]  Zhu Qian Empirical evidence from Hangzhou's urban land reform: Evolution, structure, constraints and prospects , 2008 .

[27]  J. Friedmann China's Urban Transition , 2005 .

[28]  Dan Yang,et al.  Dilemmas of Local Governance under the Development Zone Fever in China: A Case Study of the Suzhou Region , 2008 .

[29]  C. Fan The state the migrant labor regime and maiden workers in China. , 2004 .

[30]  Ian Masser,et al.  Modelling Urban Growth Patterns: A Multiscale Perspective , 2003 .

[31]  Tan Renbiao Evaluation System and Control Mechanism of Urban Sprawl:A Case Study of Hangzhou , 2009 .

[32]  William A. V. Clark,et al.  Monocentric to Policentric: New Urban Forms and Old Paradigms , 2008 .

[33]  A. Braimoh,et al.  Spatial determinants of urban land use change in Lagos, Nigeria , 2007 .

[34]  C. Pannell,et al.  China's urban transition. , 1995, The Journal of geography.

[35]  C. Fan The Elite, the Natives, and the Outsiders: Migration and Labor Market Segmentation in Urban China , 2002 .

[36]  C. Small Estimation of urban vegetation abundance by spectral mixture analysis , 2001 .