Abstract
As one of the world regions with the most rapid economic growth and urbanization, eastern China faces many challenges during its urbanization process. The growth is characterized by the broad-scale loss of agricultural land, and by complex and unplanned urban growth, both of which threaten the future sustainability of the regional economy. The goal of this research is to investigate the changes within the driving forces behind the urban growth and to explore an analytical framework that explains the process. In particular, we discuss the role of the behavior of individuals in driving urban growth from a micro-perspective and formalize a framework for understanding and modeling the mechanisms of urban growth in eastern China. We start with an analysis of the changes in the macro-environment and how they have affected the autonomy of individuals, followed by an examination of the role of adaptive behavior in driving urban growth. We then propose a general analytical framework composed of an agent system, an environment system, and a policy and planning system. We present a layout for these subsystems and discuss the interactions within and among the subsystems. Furthermore, we summarize the common elements of urban micro-agents’ adaptive behavior into three stages: agent learning, agent decision-making, and agent action. We enrich the urban micro-agents’ learning process by importing learning from past self-experience and from shared experiences. The results may be helpful in the further modeling of urban micro-agents’ adaptive behavior for simulating urban growth in support of scientific urban planning.
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References
Amiti M, Javorcik BS (2008) Trade costs and location of foreign firms in China. J Dev Econ 85:129–149. doi:10.1016/j.jdeveco.2006.06.001
Batty M (2002) New ways of looking at cities. Nature 337:574. doi:10.1038/377574a0
Batty M (2008) Fifty years of urban modeling: macro-statics to micro-dynamics. In: Albeverio S, Andrey D, Giordano P, Vancheri A (eds) The dynamics of complex urban systems: an interdisciplinary approach. Accademia di Architettura, Mendrisio. doi:10.1007/978-3-7908-1937-3_1
Benenson I (2004) Agent-based modeling: from individual residential choice to urban residential dynamics. In: Goodchild MF, Janelle DG (eds) Spatially integrated social science: examples in best practice. Oxford University Press, Oxford, pp 67–95
Benenson I, Portugali J (1997) Agent-based simulations of a city dynamics in a GIS environment. Lect Notes Comput Sci 1329:501–502. doi:10.1007/3-540-63623-4_72
China Real Estate Chamber of Commerce (2009) Report of house purchasing behavior in China—the case of Beijing, Tianjing and Guangzhou. http://www.chinahouse.info/html/ZGBDCZZ/2009-8/31/09_56_00_891.html. (Accessed 31 Aug 2009)
Clarke KC (2014) Why simulate cities? GeoJournal 79:129–136. doi:10.1007/s10708-013-9499-5
Deng X, Huang J, Rozelle S, Uchida E (2008) Growth, population and industrialization, and urban land expansion of China. J Urban Econ 63(1):96–115. doi:10.1016/j.jue.2006.12.006
Doran J (2001) Agent-based modeling of ecosystems for sustainable resource management. In: Luck M et al (eds) Multi-agent systems and applications. Lecture Notes in Computer Science, vol 2086, pp 383–403. doi:10.1007/3-540-47745-4_18
Gao T (2004) Regional industrial growth: evidence from Chinese industries. Reg Sci Urban Econ 34:101–124. doi:10.1016/S0166-0462(03)00023-1
He CF, Pan FH (2010) Economic transition, dynamic externalities and city-industry growth in China. Urban Stud 47(1):121–144. doi:10.1177/0042098009346865
He CF, Huang ZJ, Wang R (2013) Land use change and economic growth in urban China: a structural equation analysis. Urban Stud. http://usj.sagepub.com/content/early/2013/12/23/0042098013513649. (Accessed 23 Dec 2013)
Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. The MIT Press, Cambridge
Huang SL, Wang SH, Budd WW (2009) Sprawl in Taipei’s peri-urban zone: responses to spatial planning and implications for adapting global environmental change. Landsc Urban Plan 90:20–32. doi:10.1016/j.landurbplan.2008.10.010
Jiang B, Gimblett HR (2002) An agent-based approach to environmental and urban systems within geographic information systems. In: Gimblett HR (ed) Integrating geographic information systems and agent-based techniques for simulating social and ecological processes. Oxford University Press, New York, pp 171–189
Kates RW, Clark WC, Corell R, Hall JM et al (2001) Sustainability science. Science 292:641–642. doi:10.1126/science.1059386
Le QB, Park SJ, Vlek PLG (2008) Land-use dynamic simulator (LUDAS): a multi-agent system model for simulating spatio–temporal dynamics of coupled human–landscape system. I. Structure and theoretical specification. Ecol Inform 3:135–153. doi:10.1016/j.ecoinf.2008.04.003
Le QB, Seidl R, Scholz RW (2012) Feedback loops and types of adaptation in the modelling of land-use decisions in an agent-based simulation. Environ Model Softw 27–28:83–96. doi:10.1016/j.envsoft.2011.09.002
Liang S, Jin T (2005) Research on urban residential expansion in major cities and suburban cultivated land protection. Environ Prot 11:59–63. doi:10.3969/j.issn.0253-9705.2005.11.014
Lin GCS (2007) Reproducing spaces of Chinese urbanisation: new city-based and land-centred urban transformation. Urban Stud 44(9):1827–1855. doi:10.1080/00420980701426673
Liu T, Cao GZ (2010) Progress in urban land expansion and its driving forces. Prog Geogr 29(8):927–934. doi:10.11820/dlkxjz.2010.08.005
Liu WC, Dong JW (2009) Remote sensing-based analysis for expansion of construction land and cultivated land cut in recent 20 years. J Geoinf Sci 11(4):549–555. doi:10.3724/SP.J.1047.2009.00549
Liu XP, Li X, Yeh AGO (2006) Multi-agent systems for simulating spatial decision behaviors and land use dynamics. Sci China Ser D 36(11):1027–1036. doi:10.1007/s11430-006-1184-9
Lu WG, Chen W (2009) Manufacturing industry enterprises location choice and urban spatial restructuring in Nanjing. Acta Geogr Sin 64(2):142–152. doi:10.3321/j.issn:0375-5444.2009.02.002
Lu CH, Tan MH, Yu BH (2010) Urban land expansion and problems of resources and environment in China’s urbanization. Sci Technol Innov Her 3:129–130. doi:10.3969/j.issn.1674-098X.2010.03.102
Matthews RB, Gilbert NG, Roach A et al (2007) Agent-based land-use models: a review of application. Landsc Ecol 22:1447–1459. doi:10.1007/s10980-007-9135-1
Meng ZM, Wu RJ (2011) A research on living intentions of floating population. Popul Dev 17(3):11–18. doi:10.3969/j.issn.1674-1668.2011.03.002
MOHURD (Ministry of Housing and Urban-Rural Development of the People’s Republic of China) (2008) Classification of urban land and planning construction land standard. China Architecture and Building Press, Beijing
NBSC (National Bureau of Statistics of China) (2004) Statistical yearbook of China. China Statistic Press, Beijing
Ning YM (1998) New process of urbanization: dynamics and features of urbanization in China since 1990. Acta Geogr Sin 53(5):470–477. doi:10.11821/xb199805011
NPFPC (2010) Report on China’s migrant population development. China Population Publishing House, Beijing
Ommeren J, Rietveld P, Nijkamp P (1999) Job moving, residential moving and commuting: a search perspective. J Urban Econ 46:230–253. doi:10.1006/juec.1998.2120
Parker DC, Entwisle B, Rindfuss RR et al (2008a) Case studies, cross-site comparisons, and the challenge of generalization: comparing agent-based models of land-use change in frontier regions. J Land Use Sci 3:41–72. doi:10.1080/17474230802048151
Parker DC, Hessl A, Davis SC (2008b) Complexity, land-use modeling, and the human dimension: fundamental challenges for mapping unknown outcome spaces. Geoforum 39:789–804. doi:10.1016/j.geoforum.2007.05.005
Pinto SM (2002) Residential choice, mobility, and the labor market. J Urban Econ 51:469–496. doi:10.1006/juec.2001.2254
Sanchez-Rodriguez R, Seto KC, Simon D et al (2005) Science plan: urbanization and global environmental change. IHDP report no. 15. IHDP, Bonn. http://ccsl.iccip.net/urbanizationscienceplan.pdf
Scholz RW, Gallati J, Le QB, Seidl R (2011) Integrated systems modeling of complex human–environment systems. In: Scholz RW (ed) Environmental literacy in science and society: from knowledge to decisions. Cambridge University Press, Cambridge, pp 341–372
Seto KC, Fragkias M (2005) Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landsc Ecol 20(7):871–888. doi:10.1007/s10980-005-5238-8
Seto KC, Kaufmann RK (2003) Modeling the drivers of urban land use change in the Pearl River Delta, China: integrating remote sensing with socioeconomic data. Land Econ 79:106–121. doi:10.2307/3147108
Tan MH, Li XB, Lu CH (2005) Urban land expansion and arable land loss of the major cities in China in the 1990s. Sci China Ser D 48(9):1492–1500. doi:10.1360/03yd0374
Tao R, Su FB, Liu MX et al (2010) Land leasing and local public finance in China’s regional development: evidence from prefecture-level cities. Urban Stud 47(10):2217–2236. doi:10.1177/0042098009357961
Torrens PM (2000) How cellular models of urban systems work. CASA working paper 28. University College, London. http://www.bartlett.ucl.ac.uk/casa/latest/publications/working-papers
Turner BL, Lambin EF, Reenberg A (2007) The emergence of land change science for global environmental change and sustainability. Proc Natl Acad Sci USA 104(52):20666–20671. doi:10.1073/pnas.0704119104
Tversky A, Kahneman D (1981) The framing of decisions and the psychology of choice. Science 211:453–458. doi:10.1126/science.7455683
Verburg PM (2006) Simulating feedbacks in land use and land cover change models. Landsc Ecol 21:1171–1183. doi:10.1007/s10980-006-0029-4
Wu FL, Webster CJ (2001) China’s recent urban development in the process of land and housing marketisation and economic globalization. Habitat Int 25:273–289. doi:10.1016/S0197-3975(00)00034-5
Yao SM, Chen S, Wu JN et al (2009) Spatial expansion patterns of Chinese big cities—the case of Suzhou. Sci Geogr Sin 29(1):15–21. doi:10.3969/j.issn.1000-0690.2009.01.003
Zhang T (2000) Land market forces and government’s role in sprawl, the case of China. Cities 17:123–135. doi:10.1016/S0264-2751(00)00007-X
Acknowledgments
We gratefully acknowledge the financial support from the National Natural Science Foundation of China under Grant No. 40901184 and Ph.D. Programs Foundation of Ministry of Education of China under Grant No. 20090091120028. We also acknowledge Liang Mao, Tim Niblett, Jorge Chen, and anonymous reviewers for their valuable comments and suggestions.
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Editor: Helmut J. Geist.
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Li, F., Liang, J., Clarke, K. et al. Urban land growth in eastern China: a general analytical framework based on the role of urban micro-agents’ adaptive behavior. Reg Environ Change 15, 695–707 (2015). https://doi.org/10.1007/s10113-014-0665-1
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DOI: https://doi.org/10.1007/s10113-014-0665-1