Urban expansion patterns and their driving forces based on the center of gravity-GTWR model: A case study of the Beijing-Tianjin-Hebei urban agglomeration

Research into urban expansion patterns and their driving forces is of great significance for urban agglomeration development planning and decision-making. In this paper, we reveal the multi-dimensional characteristics of urban expansion patterns, based on the intensity index of the urban expansion, the differentiation index of the urban expansion, the fractal dimension index, the land urbanization rate, and the center of gravity model, by taking the Beijing-Tianjin-Hebei (Jing-Jin-Ji) urban agglomeration as an example. We then build the center of gravity-geographically and temporally weighted regression (GTWR) model by coupling the center of gravity model with the GTWR model. Through the analysis of the temporal and spatial patterns and by using the center of gravity-GTWR model, we analyze the driving forces of the urban land expansion and summarize the dominant development modes and core driving forces of the Jing-Jin-Ji urban agglomeration. The results show that: 1) Between 1990 and 2015, the expansion intensity of the Jing-Jin-Ji urban agglomeration showed a down-up-down trend, and the peak period was in 2005–2010. Before 2005, high-speed development took place in Beijing, Tianjin, Baoding, and Langfang; after 2005, rapid development was seen in Xingtai and Handan. 2) Although the barycenter of cities in the Jing-Jin-Ji urban agglomeration has shown a divergent trend, the local interaction between cities has been enhanced, and the driving forces of urban land expansion have shown a characteristic of spatial spillover. 3) The spatial development mode of the Jing-Jin-Ji urban agglomeration has changed from a dual-core development mode to a multi-core development mode, which is made up of three functional cores: the transportation core in the northern part, the economic development core in the central part, and the investment core in the southern part. The synergistic development between each functional core has led to the multi-core development mode. 4) The center of gravity-GTWR model combines the analysis of spatial and temporal nonstationarity with urban spatial interaction, and analyzes the urban land expansion as a space-time dynamic system. The results of this study show that the model is a feasible approach in the analysis of the driving forces of urban land expansion.

[1]  E. Ullman,et al.  American Commodity Flow , 1958 .

[2]  F. Boal,et al.  The Milk Industry in Northern Ireland , 1961 .

[3]  D. Griffith Geometry and Spatial Interaction , 1982 .

[4]  Li Jiang Fractal dimension of urban spatial morphology and its application , 2005 .

[5]  K. Wiegand,et al.  Revealing the Driving Forces of Mid-Cities Urban Growth Patterns Using Spatial Modeling: a Case Study of Los Ángeles, Chile , 2007 .

[6]  Li Bo Driving forces analysis of land-use pattern changes based on logistic regression model in the farming-pastoral zone:A case study of Ongiud Banner,Inner Mongolia , 2008 .

[7]  Wang Qian Analysis of Land Use Change and Socioeconomic Driving Forces of Fengtai District in Beijing , 2008 .

[8]  Bo Wu,et al.  Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices , 2010, Int. J. Geogr. Inf. Sci..

[9]  J. Sendra,et al.  Exploring the driving forces behind deforestation in the state of Mexico (Mexico) using geographically weighted regression , 2010 .

[10]  C. Lavalle,et al.  Development of a composite index of urban compactness for land use modelling applications , 2011 .

[11]  L. Zhiqiang Spatial Expansion of Urban Land Use and Its Driving Forces in Shenyang City over the Past Century , 2011 .

[12]  Lin Jian Review of Research on Land Urbanization and Related Studies , 2012 .

[13]  Ye Xiaomei,et al.  Comparison of biogas production efficiency of anaerobic digestion using water hyacinth and its juice from solid-liquid separation as feedstock. , 2012 .

[14]  Zhou Yuan Application of land use model CLUE-S in the planning of central Liaoning urban agglomerations , 2012 .

[15]  Chi-Farn Chen,et al.  Urban growth mapping from Landsat data using linear mixture model in Ho Chi Minh City, Vietnam , 2012 .

[16]  Wu Hong Spatial and Temporal Characteristics of Spatial Expansion of Urban Land in Wuhan Urban Agglomeration , 2012 .

[17]  Yang Huaqi Study on Chang-Zhu-Tan's Urbanization Construction in the Context of "Two Oriented Society" , 2012 .

[18]  M. Duriavig,et al.  Economic Resilience and Land use: The Cocoa Crisis in the Rio Cachoeira Catchment, Brazil , 2013 .

[19]  P. Chon Spatial-Temporal Pattern of County Urbanization and Its Relationship With Economic Development in Hunan Province , 2013 .

[20]  Fang Chuanglin Progress and the future direction of research into urban agglomeration in China , 2014 .

[21]  Zhang Aiping,et al.  Characteristics of clustering and economic performance of urban agglomerations in China , 2014 .

[22]  Yang Jian-ta Studies on the Trend and Development of the Urbanization of Zhongyuan Urban Agglomeration:A PIL Perspective , 2014 .

[23]  Hossein Shafizadeh-Moghadam,et al.  Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[24]  Yao Shi-mo STRATEGY PROBLEM OF NEW URBANIZATION IN BIG URBAN AGGLOMERATION , 2015 .

[25]  L. Dada Function orientation and coordinating development of subregions within the Jing-Jin-Ji Urban Agglomeration , 2015 .

[26]  T. Osman,et al.  Applying a Hybrid Model of Markov Chain and Logistic Regression to Identify Future Urban Sprawl in Abouelreesh, Aswan: A Case Study , 2016 .

[27]  G. Easson,et al.  Soil Moisture Estimation in South-Eastern New Mexico Using High Resolution Synthetic Aperture Radar (SAR) Data , 2016 .

[28]  L. Salvati,et al.  Scattered or polycentric? Untangling urban growth in three southern European metropolitan regions through exploratory spatial data analysis , 2016 .

[29]  方创琳,et al.  京津冀城市群协同发展的理论基础与规律性分析@@@Theoretical foundation and patterns of coordinated development of the Beijing-Tianjin-Hebei Urban Agglomeration , 2017 .

[30]  Tonghui Zhang,et al.  Detecting Sustainability of Desertification Reversion: Vegetation Trend Analysis in Part of the Agro-Pastoral Transitional Zone in Inner Mongolia, China , 2017 .

[31]  Mario Cools,et al.  Coupling agent-based, cellular automata and logistic regression into a hybrid urban expansion model (HUEM) , 2017 .

[32]  Patrik Silva,et al.  Mapping Urban Expansion and Exploring Its Driving Forces in the City of Praia, Cape Verde, from 1969 to 2015 , 2017 .

[33]  E. Otazo-Sanchez,et al.  Urban driving forces and megacity expansion threats. Study case in the Mexico City periphery , 2017 .

[34]  Shuangcheng Li,et al.  A proposal for the theoretical analysis of the interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations , 2017, Journal of Geographical Sciences.

[35]  Yang Bai,et al.  Correlations between Socioeconomic Drivers and Indicators of Urban Expansion: Evidence from the Heavily Urbanised Shanghai Metropolitan Area, China , 2017 .