Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

MA Shifa; ZHAO Yabo; TAN Xiaohong

doi:10.1007/s11769-020-1140-1

Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

doi: 10.1007/s11769-020-1140-1

School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China

基金项目:

Under the auspices of National Nature Science Foundation of China (No. 41901311)

详细信息

通讯作者:
ZHAO Yabo. E-mail:zhaoyb@gdut.edu.cn

Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China

Funds:

Under the auspices of National Nature Science Foundation of China (No. 41901311)

摘要: Urban agglomeration is the main spatial organization mode used by the Chinese government to promote the policy of new urbanization strategy. Hence, a better understanding of the urban growth boundary (UGB) has profound theoretical and practical significance regarding sustainable urban development. This study devised a raster-based land use spatial optimization (LUSO) framework, and utilized ant colony optimization (ACO) algorithm to delimit the smart growth boundaries of the Changsha-Zhuzhou-Xiangtan city group (CZTCG) in China. The aim of this study is to design a LUSO model to explore an optimal pattern of urban agglomeration for sustainable growth. Multi growth scenario including a single development center, multipolar development and balanced development patterns are generated by the LUSO model for the year of 2050, and the optimum spatial pattern is chosen based on objectives comparison and the present stage of economic and social development in CZTCG. The main results are listed as the following. 1) It is feasible to identify the growth boundaries of the urban agglomeration using the land use spatial optimization model, and the optimal form of the spatial pattern can be defined. 2) With the growth trend of the urban agglomeration gradually spreads from a single center to multi-centers and even small towns, the total optimization target performance gradually increases, which means that the traditional pie-shaped development does not meet the maximum comprehensive benefit of the city group. 3) Subject to the regional social and economic development stage, absolute fair development or simply developing the central city is not conducive to promoting the coordinated development of the urban agglomeration. Gradient equalization and gradual advancement are the best choice for UGB delineation of urban agglomeration. The findings of this study would be useful to identify the UGB in CZTCG for more sustainable urban development in the future.
- urban growth boundary (UGB) /
- land use spatial optimization /
- urban agglomeration /
- smart growth /
- sustainable urban development
Abstract: Urban agglomeration is the main spatial organization mode used by the Chinese government to promote the policy of new urbanization strategy. Hence, a better understanding of the urban growth boundary (UGB) has profound theoretical and practical significance regarding sustainable urban development. This study devised a raster-based land use spatial optimization (LUSO) framework, and utilized ant colony optimization (ACO) algorithm to delimit the smart growth boundaries of the Changsha-Zhuzhou-Xiangtan city group (CZTCG) in China. The aim of this study is to design a LUSO model to explore an optimal pattern of urban agglomeration for sustainable growth. Multi growth scenario including a single development center, multipolar development and balanced development patterns are generated by the LUSO model for the year of 2050, and the optimum spatial pattern is chosen based on objectives comparison and the present stage of economic and social development in CZTCG. The main results are listed as the following. 1) It is feasible to identify the growth boundaries of the urban agglomeration using the land use spatial optimization model, and the optimal form of the spatial pattern can be defined. 2) With the growth trend of the urban agglomeration gradually spreads from a single center to multi-centers and even small towns, the total optimization target performance gradually increases, which means that the traditional pie-shaped development does not meet the maximum comprehensive benefit of the city group. 3) Subject to the regional social and economic development stage, absolute fair development or simply developing the central city is not conducive to promoting the coordinated development of the urban agglomeration. Gradient equalization and gradual advancement are the best choice for UGB delineation of urban agglomeration. The findings of this study would be useful to identify the UGB in CZTCG for more sustainable urban development in the future.
- urban growth boundary (UGB) /
- land use spatial optimization /
- urban agglomeration /
- smart growth /
- sustainable urban development

[1]	Abbott C, Margheim J, 2008. Imagining Portland's urban growth boundary:planning regulation as cultural icon. Journal of the American Planning Association, 74(2):196-208. doi: 10.1080/01944360801944997
[2]	Bateman I J, Harwood A R, Mace G M et al., 2013. Bringing ecosystem services into economic decision-making:land use in the United Kingdom. Science, 341(6141):45-50. doi: 10.1126/science.1234379
[3]	Batty M, Xie, Y C, Sun Z L, 1999. Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 23(3):205-233. doi: 10.1016/S0198-9715(99)00015-0
[4]	Borgström S, Cousins S A O, Lindborg R, 2012. Outside the boundary-Land use changes in the surroundings of urban nature reserves. Applied Geography, 32(2):350-359. doi: 10.1016/j.apgeog.2011.06.012
[5]	Cerreta M, De Toro P, 2012. Urbanization suitability maps:a dynamic spatial decision support system for sustainable land use. Earth System Dynamics, 3(2):157-171. doi: 10.5194/esd-3-157-2012
[6]	Chen J, 2007. Rapid urbanization in China:a real challenge to soil protection and food security. Catena, 69(1):1-15. doi: 10.1016/j.catena.2006.04.019
[7]	Chen Y M, Li X, Liu X P et al., 2010. An agent based model for optimal land allocation (AgentLA) with a contiguity constraint. International Journal of Geographical Information Science, 24(8):1269-1288. doi: 10.1080/13658810903401024
[8]	Chen Y M, Li X, Liu X P et al., 2019. Simulating urban growth boundaries using a patch-based cellular automaton with eco-nomic and ecological constraints. International Journal of Geographical Information Science, 33(1):55-80. doi: 10.1080/13658816.2018.1514119
[9]	Cohen B, 2006. Urbanization in developing countries:current trends, future projections, and key challenges for sustainability. Technology in society, 28(1-2):63-80. doi: 10.1016/j.techsoc.2005.10.005
[10]	Deng X Z, Bai X M, 2014. Sustainable urbanization in Western China. Environment:Science and Policy for Sustainable De-velopment, 56(3):12-24. doi: 10.1080/00139157.2014.901836
[11]	Dong Minghui, Zou Bin, Pu Qiang et al., 2014. Spatial pattern evolution and casual analysis of county level economy in Changsha-Zhuzhou-Xiangtan urban agglomeration, China. Chinese Geographical Science, 24(5):620-630. doi: 10.1007/s11769-014-0685-2
[12]	Fang C L, Yu D L, 2017. Urban agglomeration:an evolving con-cept of an emerging phenomenon. Landscape and Urban Planning, 162:126-136. doi:10.1016/j.landurbplan.2017. 02.014
[13]	Foley J A, DeFries R, Asner G P et al., 2005. Global conse-quences of land use. Science, 309(5734):570-574. doi: 10.1126/science.1111772
[14]	Gennaio M P, Hersperger A M, Bürgi M, 2009. Containing urban sprawl-evaluating effectiveness of urban growth boundaries set by the Swiss Land Use Plan. Land Use Policy, 26(2):224-232. doi: 10.1016/j.landusepol.2008.02.010
[15]	Golub A A, Henderson B B, Hertel T W et al., 2013. Global cli-mate policy impacts on livestock, land use, livelihoods, and food security. Proceedings of the National Academy of Sci-ences, 110(52):20894-20899. doi: 10.1073/pnas.1108772109
[16]	He C Y, Liu Z F, Tian J et al., 2014. Urban expansion dynamics and natural habitat loss in China:a multiscale landscape per-spective. Global Change Biology, 20(9):2886-2902. doi: 10.1111/gcb.12553
[17]	He Q S, Tan R H, Gao Y et al., 2018. Modeling urban growth boundary based on the evaluation of the extension potential:a case study of Wuhan City in China. Habitat International, 72:57-65. doi: 10.1016/j.habitatint.2016.11.006
[18]	Hepinstall-Cymerman J, Coe S, Hutyra L R, 2013. Urban growth patterns and growth management boundaries in the Central Puget Sound, Washington, 1986-2007. Urban Ecosystems, 16(1):109-129. doi: 10.1007/s11252-011-0206-3
[19]	Hong W Y, Yang C Y, Chen L X et al., 2017. Ecological control line:a decade of exploration and an innovative path of eco-logical land management for megacities in China. Journal of Environmental Management, 191:116-125. doi: 10.1016/j.jenvman.2017.01.014
[20]	Jun M J, 2004. The effects of Portland's urban growth boundary on urban development patterns and commuting. Urban Studies, 41(7):1333-1348. doi: 10.1080/0042098042000214824
[21]	Kong X B, 2014. China must protect high-quality arable land. Nature, 506(7486):7. doi: 10.1038/506007a
[22]	Li X, Chen Y M, Liu X P et al., 2010. Concepts, methodologies, and tools of an integrated geographical simulation and opti-mization system. International Journal of Geographical In-formation Science, 25(4):633-655. doi:10.1080/13658816. 2010.496370
[23]	Liang X, Liu X P, Li X et al., 2018. Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method. Landscape and Urban Planning, 177:47-63. doi: 10.1016/j.landurbplan.2018.04.016
[24]	Liu J G, 2010. China's road to sustainability. Science, 328(5974):50. doi: 10.1126/science.1186234
[25]	Liu X P, Li X, Shi X et al., 2012. A multi-type ant colony opti-mization (MACO) method for optimal land use allocation in large areas. International Journal of Geographical Information Science, 26(7):1325-1343. doi:10.1080/13658816. 2011.635594
[26]	Liu Y L, Tang W, He J H et al., 2015. A land-use spatial optimi-zation model based on genetic optimization and game theory. Computers, Environment and Urban Systems, 49:1-14. doi: 10.1016/j.compenvurbsys.2014.09.002
[27]	Long Y, Han H Y, Lai S K et al., 2013. Urban growth boundaries of the Beijing metropolitan area:comparison of simulation and artwork. Cities, 31:337-348. doi:10.1016/j.cities. 2012.10.013
[28]	Ma S F, He J H, Liu F et al., 2011. Land-use spatial optimization based on PSO algorithm. Geo-spatial Information Science, 14(1):54-61. doi: 10.1007/s11806-011-0437-8
[29]	Ma S F, Li X, Cai Y M, 2017. Delimiting the urban growth boundaries with a modified ant colony optimization model. Computers, Environment and Urban Systems, 62:146-155. doi: 10.1016/j.compenvurbsys.2016.11.004
[30]	Park S, Jeon S, Kim S et al., 2011. Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea. Landscape and Urban Planning, 99(2):104-114. doi: 10.1016/j.landurbplan.2010.09.001
[31]	Porta J, Parapar J, Doallo R et al., 2013. High performance genetic algorithm for land use planning. Computers, Environment and Urban Systems, 37:45-58. doi: 10.1016/j.compenvurbsys.2012.05.003
[32]	Santé I, García A M, Miranda D et al., 2010. Cellular automata models for the simulation of real-world urban processes:a re-view and analysis. Landscape and Urban Planning, 96(2):108-122. doi: 10.1016/j.landurbplan.2010.03.001
[33]	Santé-Riveira I, Crecente-Maseda R, Miranda-Barrós D, 2008a. GIS-based planning support system for rural land-use alloca-tion. Computers and Electronics in Agriculture, 63(2):257-273. doi: 10.1016/j.compag.2008.03.007
[34]	Santé-Riveira I, Boullón-Magán M, Crecente-Maseda R et al., 2008b. Algorithm based on simulated annealing for land-use allocation. Computers & Geosciences, 34(3):259-268. doi: 10.1016/j.cageo.2007.03.014
[35]	Schwaab J, Deb K, Goodman E et al., 2018. Using multi-objective optimization to secure fertile soils across municipalities. Applied Geography, 97:75-84. doi: 10.1016/j.apgeog.2018.06.001
[36]	Schweitzer C, Priess J A, Das S, 2011. A generic framework for land-use modelling. Environmental Modelling & Software, 26(8):1052-1055. doi: 10.1016/j.envsoft.2011.02.016
[37]	Seppelt R, Voinov A, 2003. Optimization methodology for land use patterns-evaluation based on multiscale habitat pattern comparison. Ecological Modelling, 168(3):217-231. doi: 10.1016/S0304-3800(03)00138-8
[38]	Seto K C, Guneralp B, Hutyra L R, 2012. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences of the United States of America, 109(40):16083-16088. doi: 10.1073/pnas.1211658109
[39]	Stewart T J, Janssen R, 2014. A multiobjective GIS-based land use planning algorithm. Computers, Environment and Urban Systems, 46:25-34. doi:10.1016/j.compenvurbsys.2014.04. 002
[40]	Sun D Q, Zhang J X, Hu Y et al., 2013. Spatial analysis of Chi-na's eco-environmental quality:1990-2010. Journal of Geo-graphical Sciences, 23(4):695-709. doi: 10.1007/s11442-013-1038-2
[41]	Taylor P J, Derudder B, 2016. World City Network:A Global Urban Analysis. 2nd ed. London:Routledge.
[42]	Tayyebi A, Perry P C, Tayyebi A H, 2014. Predicting the expan-sion of an urban boundary using spatial logistic regression and hybrid raster-vector routines with remote sensing and GIS. In-ternational Journal of Geographical Information Science, 28(4):639-659. doi: 10.1080/13658816.2013.845892
[43]	Tayyebi A, Pijanowski B C, Pekin B, 2011a. Two rule-based urban growth boundary models applied to the Tehran metro-politan area, Iran. Applied Geography, 31(3):908-918. doi: 10.1016/j.apgeog.2011.01.018
[44]	Tayyebi A, Pijanowski B C, Tayyebi A H, 2011b. An urban growth boundary model using neural networks, GIS and radial parameterization:An application to Tehran, Iran. Landscape and Urban Planning, 100(1-2):35-44. doi: 10.1016/j.landurbplan.2010.10.007
[45]	Tudes S, Yigiter N D, 2010. Preparation of land use planning model using GIS based on AHP:case study Adana-Turkey. Bulletin of Engineering Geology and the Environment, 69(2):235-245. doi: 10.1007/s10064-009-0247-5
[46]	Wang X R, Hui E C M, Choguill C et al., 2015. The new urbani-zation policy in China:which way forward? Habitat Interna-tional, 47:279-284. doi: 10.1016/j.habitatint.2015.02.001
[47]	Wei Y D, Ye X Y, 2014. Urbanization, urban land expansion and environmental change in China. Stochastic Environmental Research and Risk Assessment, 28(4):757-765. doi: 10.1007/s00477-013-0840-9
[48]	Yang X, 2013. China's rapid urbanization. Science, 342(6156):310. doi: 10.1126/science.342.6156.310-a
[49]	Youssef A M, Pradhan B, Tarabees E, 2011. Integrated evaluation of urban development suitability based on remote sensing and GIS techniques:contribution from the analytic hierarchy process. Arabian Journal of Geosciences, 4(3-4):463-473. doi: 10.1007/s12517-009-0118-1
[50]	Zheng X Q, Lv L N, 2016. A WOE method for urban growth boundary delineation and its applications to land use planning. International Journal of Geographical Information Science, 30(4):691-707. doi: 10.1080/13658816.2015.1091461
[51]	Zhou R, Zhang H, Ye X Y et al., 2016. The delimitation of urban growth boundaries using the CLUE-S land-use change model:study on Xinzhuang Town, Changshu City, China. Sustaina-bility, 8(11):1182. doi: 10.3390/su8111182
[52]	Zhuang Z Z, Li K Y, Liu J X et al., 2017. China's new urban space regulation policies:a study of urban development boundary delineations. Sustainability, 9(1):45. doi: 10.3390/su9010045

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Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

doi: 10.1007/s11769-020-1140-1

通讯作者:
ZHAO Yabo. E-mail:zhaoyb@gdut.edu.cn

Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

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Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

doi: 10.1007/s11769-020-1140-1

School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China

通讯作者: ZHAO Yabo. E-mail:zhaoyb@gdut.edu.cn

English Abstract

Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China

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Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

doi: 10.1007/s11769-020-1140-1

通讯作者: ZHAO Yabo. E-mail:zhaoyb@gdut.edu.cn

Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

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Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

doi: 10.1007/s11769-020-1140-1

School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China

通讯作者: ZHAO Yabo. E-mail:zhaoyb@gdut.edu.cn

English Abstract

Exploring Smart Growth Boundaries of Urban Agglomeration with Land Use Spatial Optimization: A Case Study of Changsha- Zhuzhou-Xiangtan City Group, China

School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China

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目录

通讯作者:
ZHAO Yabo. E-mail:zhaoyb@gdut.edu.cn