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.
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Aguayo M I, Wiegand T, Azócar G D et al., 2007. Revealing the driving forces of mid-cities urban growth patterns using spatial modeling: A case study of Los Ángeles, Chile. Ecology and Society, 12(1): 181–194.
Andreoni V, Duriavig M, 2013. Economic resilience and land use: The Cocoa Crisis in the Rio Cachoeira Catchment, Brazil. Environmental Policy & Governance, 23(2): 118–129.
Bao C, 2014. Spatio-temporal coupling relationships among urbanization, economic growth and water use change in China. Acta Geographica Sinica, 69(12): 1799–1809. (in Chinese)
Cai Z C, He L M, 2006. The application of relevance analysis principle in library and information analysis. Journal of Modern Information, 26(5): 151–152. (in Chinese)
Cui M H, 2015. The relationship of coupling coordination between urbanization and ecological environment: A case of urban cluster in the central plains. Economic Geography, 35(7): 72–78. (in Chinese)
Fang C L, 2014. Progress and the future direction of research into urban agglomeration in China. Acta Geographica Sinica, 69(8): 1130–1144. (in Chinese)
Fang C L, 2017. Theoretical foundation and patterns of coordinated development of the Beijing-Tianjin-Hebei Urban Agglomeration. Progress in Geography, 36(1): 15–24. (in Chinese)
Fang C L, Zhou C H, Gu C L et al., 2016. Theoretical analysis of interactive coupled effects between urbanization and eco-environment in mega-urban agglomerations. Acta Geographica Sinica, 71(4): 531–550. (in Chinese)
Gao Z Q, Yi W, 2012. Land use change in China and analysis of its driving forces using CLUE-S and dinamica EGO model. Transactions of the Chinese Society of Agricultural Engineering, 28(16): 208–216. (in Chinese)
Griffith D A, 1982. Geometry and spatial interaction. Annals of the Association of American Geographers, 72(3): 332–346.
Guan X L, Fang C L, Zhou M et al., 2012. Spatial and temporal characteristics of spatial expansion of urban land in Wuhan urban agglomeration. Journal of Natural Resources, 27(9): 1447–1459. (in Chinese)
Guo S H, 2017. Urban land use structure and land use efficiency in Hercynian urban agglomeration. Economic Geography, 37(1): 170–175. (in Chinese)
Hamdy O, Zhao S, Osman T et al., 2016. Applying a hybrid model of Markov chain and logistic regression to identify future urban sprawl in Abouelreesh, Aswan: A case study. Geosciences, 6(4): 1–17.
Han X H, Zhang Y H, Sun F J et al., 2012. Method of determining index weight based on principal component analysis. Sichuan Ordnance Journal, 33(10): 124–126. (in Chinese)
Hernández- Flores M D L L, Otazo-Sánchez E M, Galeana-Pizaña M et al., 2017. Urban driving forces and megacity expansion threats. Study case in the Mexico City periphery. Habitat International, 64: 109–122.
Huang B, Wu B, Barry Michael, 2010. Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices. International Journal of Geographical Information Science, 24(3): 383–401.
Kuang B, Lu X h, Zhou M et al., 2016. Spatio-temporal features of urban land structure change in Wuhan city group and underlying causes. Economic Geography, 36(5): 71–78. (in Chinese)
Li C X, Wu K N, Zha L S, 2016. Research on land use change characteristics and driving forces in Beijing, Tianjin and Hebei region. China Population, Resources and Environment, 26(5): 252–255. (in Chinese)
Li J, 2005. Fractal dimension of urban spatial morphology and its application. Engineering Journal of Wuhan University, 38(3): 99–103. (in Chinese)
Li J H, Fang W, Wang T et al., 2017. Correlations between socioeconomic drivers and indicators of urban expansion: Evidence from the heavily urbanised Shanghai Metropolitan Area, China. Sustainability, 9(7): 1–13.
Li J M, Zhang W Z, Sun T S et al., 2014. Characteristics of clustering and economic performance of urban agglomerations in China. Acta Geographica Sinica, 69(4): 474–484. (in Chinese)
Li X, Wen J, Lin J, 2012. Review of research on land urbanization and related studies. Progress in Geography, 31(8): 1042–1049. (in Chinese)
Liu H, Deng H B, Li X F, 2016. Research on the spatial and temporal difference of coordinated development between population urbanization and land urbanization in Yangtze River Economic Belt. China Population, Resources and Environment, 26(5): 160–166. (in Chinese)
Liu M, Hu Y M, Sun F Y et al., 2012. Application of land use model CLUE-S in the planning of central Liaoning urban agglomerations. Chinese Journal of Ecology, 31(2): 413–420. (in Chinese)
Lu D D, 2015. Function orientation and coordinating development of subregions within the Jing-Jin-Ji urban agglomeration. Progress in Geography, 34(3): 265–270. (in Chinese)
Mubareka S, Koomen E, Estreguil C et al., 2014. Development of a composite index of urban compactness for land use modelling applications. Landscape & Urban Planning, 103(3): 303–317.
Mustafa A, Cools M, Saadi I et al., 2017. Coupling agent-based, cellular automata and logistic regression into a hybrid urban expansion model (HUEM). Land Use Policy, 69: 529–540.
Peng C, Chang L L, 2013. Spatial-temporal pattern of county urbanization and its relationship with economic development in Hunan province. Economic Geography, 33(8): 73–78. (in Chinese)
Pineda Jaimes N B, Bosque Sendra J, Gómez Delgado M et al., 2010. Exploring the driving forces behind deforestation in the state of Mexico (Mexico) using geographically weighted regression. Applied Geography, 30(4): 576–591.
Salvati L, Venanzoni G, Serra P et al., 2016. Scattered or polycentric? Untangling urban growth in three southern European metropolitan regions through exploratory spatial data analysis. Annals of Regional Science, 57(1): 1–29.
Shafizadeh-Moghadam H, Helbich M, 2015. Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai. International Journal of Applied Earth Observations & Geoinformation, 35: 187–198.
Silva P, Li L, 2017. Mapping urban expansion and exploring its driving forces in the city of Praia, Cape Verde, from 1969 to 2015. Sustainability, 9(8): 1–21.
Son N T, Chen C R, 2012. Urban growth mapping from Landsat data using linear mixture model in Ho Chi Minh City, Vietnam. Journal of Applied Remote Sensing, 6(1): 100–106.
Song J P, Zhao X J, Wang Q, 2008. Analysis of land use change and socioeconomic driving forces of Fengtai District in Beijing. China Population, Resources and Environment, 18(2): 171–175. (in Chinese)
Sun Y, Liu Z Q, Wang Q B et al., 2011. Spatial expansion of urban land use and its driving forces in Shenyang city over the past century. Resources Science, 33(11): 2022–2029. (in Chinese)
Tan S H, Ni S X, 2005. Discussion on driving forces of regional land use change. Geography and Geo-information Science, 21(3): 47–50. (in Chinese)
Ullman E L, 1957. American Commodity Flow. Seattle: University of Washington Press.
Wang H J, Wang H X, Deng Y et al., 2018. Study on the spatio-temporal pattern and differentiation of rank-size distribution of urban land expansion in Wuhan urban agglomeration. Resources and Environment in the Yangtze Basin, 27(2): 272–285. (in Chinese)
Wang M J, 2015. Analysis the change of urban internal spatial structure based on the shift of city gravity in Dalian city. Territory & Natural Resources Study, 4(1): 1–3. (in Chinese)
Wu W, Zhou S L, Wei Y H et al., 2013. Modeling spatial determinants of land urbanization in urban fringe. Transactions of the Chinese Society of Agricultural Engineering, 29(16): 220–228. (in Chinese)
Xie H L, Li B, 2008. 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. Geographical Research, 27(2): 294–303. (in Chinese)
Xie M, Yang H Q, 2012. Study on Chang-Zhu-Tan’s urbanization construction in the context of "Two Oriented Society". Journal of Changsha University, 26(6): 16–18. (in Chinese)
Xu L H, Yang L, Li J L et al., 2016. Analysis on the driving forces of landscape evolvement of Hangzhou Bay based on GIS-Logistic coupling model. Journal of Applied Oceanography, 35(1): 75–86. (in Chinese)
Xu X L, Tong L G, Zheng K D et al., 2012. Spatial-temporal characteristics and scenario prediction of urban expansion in Beijing-Tianjin-Hebei Metropolitan Region. China Population, Resources and Environment, 22(11): 256–261. (in Chinese)
Yang J Y, Gao J H, Shi Y J, 2014. Studies on the trend and development of the urbanization of Zhongyuan urban agglomeration: A PIL perspective. China Land Sciences, 28(3): 59–66. (in Chinese)
Yang Y, 2016. Research on geographically and temporally weighted regression for spatial and temporal nonstationarity [D]. Wuhan: Wuhan University, (in Chinese)
Yao S M, Wang X H, Chen Z G, 2015. Strategy problem of new urbanization in big urban agglomeration. Human Geography, 30(4): 1–5. (in Chinese)
Ye J, Chen B L, 2001. The application of fractal theory in urban research. Urban Planning Forum, (4): 38–42. (in Chinese)
Zhao J S, Yuan L, Zhang M, 2015. Driving forces coupling model for multi-scale land use change based on system dynamics. China Land Sciences, 29(6): 57–66. (in Chinese)
Zhou W T, Sun T S, 2016. The spatial spillover effect of economic growth in Beijing-Tianjin-Hebei. Journal of Capital University of Economics and Business, 18(3): 50–58. (in Chinese)
Foundation: National Natural Science Foundation of China, No.41571384; Land Resources Survey and Evaluation Project of Ministry of Land and Resources of China, No.DCPJ161207-01; Fund for Fostering Talents in Basic Science of National Natural Science Foundation of China, No.J1103409; Key Program of National Natural Science Foundation of China, No.71433008; Programme of Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, CAS
Author: Wang Haijun (1972-), PhD and Professor, specialized in geographic simulation, urban planning and land resource evaluation research.
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Wang, H., Zhang, B., Liu, Y. et al. 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. J. Geogr. Sci. 30, 297–318 (2020) doi:10.1007/s11442-020-1729-4
- urban land expansion
- driving forces
- center of gravity
- geographically and temporally weighted regression