Abstract
This century is marked by rapid urbanization. Some statistics predict that the world’s urban population will reach five billion by 2030 (United Nations 2007). This rapid urbanization not only has resulted in expanded land-use, but also has led to population increases in urban areas and development-related environmental impacts. Researchers, therefore, have begun to be concerned about the relationships between urbanization, population dynamics, and development-related environmental impacts (Lambin and Geist 2001; Fontaine and Rounsevell 2009). In this chapter, we introduce a simulation tool, spatial strategic plan support system (SSP-SS), to support local decision-making of urban development, which includes two separate parts for urban growth simulation and total amount of household energy consumption and waste discharge. To represent the process of urban growth, the constraint cellular automata (CA) approach is utilized, and an agent-based model is employed for calculating the total amount of household energy consumption and waste discharge.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Batty, M., Couclelis, H., Eichen, M. (1997), “Urban systems as cellular automata,” Environment and Planning B: Planning and Design, vol. 24, 159–164.
Batty, M., Xie, Y., Sun, Z. (1999), “Modeling urban dynamics through GIS-based cellular automata,” Comput. Environ. Urban Syst, vol. 23, 205–233.
Brown Daniel G. et al., (2008), “Exurbia from the bottom-up: Confronting empirical challenges to characterizing a complex system,” Geoforum, vol. 39, 805–818.
Clarke, K.C., Gaydos, L.J. (1998), “Loose-coupling of a cellular automaton model and GIS: long-term growth prediction for the San Francisco and Washington/Baltimore,” Int. J. Geogr. Inform. Sci, vol. 12, 699–714.
Cataĺan B., Sauŕl D., Serra P. (2008), “Urban sprawl in the Mediterranean? Patterns of growth and change in the Barcelona Metropolitan Region 1993–2000,” Landscape and Urban Planning, vol. 85, 174–184.
Fontaine Corentin M. and Rounsevell Mark D. A. (2009), “An agent-based approach to model future residential pressure on a regional landscape,” Landscape Ecol, vol. 24, 1237–1254.
Fang, S., Gertner, G., Sun, Z., Anderson, A. (2005), “The impact of interactions in spatial simulation of the dynamics of urban sprawl,” Landscape Urban Plan, vol. 73, 294–306.
Han J., Hayashi Y., Cao X., Imura H. (2009), “Application of an integrated system dynamics and cellular automata model for urban growth assessment: A case study of Shanghai, China,” Landscape and Urban Planning, vol. 91, 133–141.
He Ch, Okada N., Zhang Q., Shi P., Li J. (2008), “Modelling dynamic urban expansion processes incorporating,” Landscape and Urban Planning, vol. 86, 79–91.
Jayaprakash C. et al. (2009), “The interaction of segregation and suburbanization in an agent-based model of residential,” Environment and Planning B: Planning and Design, vol. 36, 989–1007.
Li, X., Yeh, A.G-O. (2000), “Modeling sustainable urban development by the integration of constrained cellular automata and GIS” Int. J. Geogr. Inf. Sci, vol. 14, 131–152.
Li, X., Yeh, A., G.-O. (2002b), “Neural-network-based cellular automata for simulating multiple land use changes using GIS,” International Journal of Geographical Information Science, vol. 16(4), 323–343.
Long Y, Shen, Z, Du L, Mao Q, Gao Z, (2008), “BUDEM: an urban growth simulation model using CA for Beijing metropolitan area,” Proc. SPIE, Vol. 7143, 71431D.
Long Y, Shen Z, Mao Q, Dang A, (2009), “Form scenario analysis using constrained CA,” Proceedings of Computers in Urban Planning and Urban Management.
Lambin, E. F. and Geist H. J. (2001), “Global land use and land cover change: What have we learned so far?,” Global Change News Letter, vol. 46, 27–30.
National Bureau of Statistics, (1996–2005) China Statistical Yearbook, Beijing: China Statistics Press, [ä¸ĺ›˝ç»źč®ˇĺą´é‰´].
Peccol, E., Bird, A.C., Brewer, T.R. (1996), “GIS as a tool for assessing the influence of countryside designations and planning policies on landscape change,” J.Environ. Manage, vol. 47, 355–367.
Shen Z, Kawakami M (2008), “Geo-simulation model using geographic automata for simulating land use patterns in urban partitions,” Environment and planning B: planning and design, vol. 36, 802–823.
Sui, D. Z., Zeng, H. (2001), “Modeling the dynamics of landscape structure in Asia’s emerging desakota regions: a case study in Shenzhen,” Landscape and Urban Planning, vol. 53, 37–52.
Statistic Bureau of Shanghai (2000), Statistical Yearbook of Shanghai city, Beijing: China Statistics Press, [上海市统计年鉴].
Torrens Paul M., Itzhak Benenson, (2005), “Geographic Automata Systems,” Int. J. Geogr. Inform. Sci, vol. 19 (04), 385–412.
Torrens Paul M. (2007), “A Geographic automata model of residential mobility,” Environment and Planning B: Planning and Design, Vol. 34, 200–222.
Wu, F. (1998), “Simland: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules,” Int. J. Geogr. Inform. Sci, vol. 12(1), 63–82.
White, R. and Engelen, G. (1997), “Cellular Automata as the Basis of Integrated Dynamic Regional Modelling,” Environment and Planning B: Planning and Design, vol. 24(2), 235–246.
White, R. and Engelen, G. (2000), “High-resolution integrated modelling of the spatial dynamics of urban and regional systems,” Computers, Environment and Urban Systems, vol. 24(5), 383–400.
Wilensky U NetLogo Center for Connected Learning and Computer-Based Modelling, North-western University, Evanson, IL, http://ccl.northwestern.edu/netlogo
Acknowledgment
This research was supported by Minister of Environment of Japan (S-3 project), Grants-in-Aid for Scientific Research (No. 23404022B), Japan Society of the Promotion of Science.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Ma, Y., Shen, Z., Zhou, D., Wang, K. (2012). A Planning Tool for Simulating Urban Growth Process and Spatial Strategy of Urban Development in Chuandong, China. In: Geospatial Techniques in Urban Planning. Advances in Geographic Information Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13559-0_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-13559-0_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13558-3
Online ISBN: 978-3-642-13559-0
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)