Abstract
Land use patterns, also known as land use layout, is one of the key issues in the establishment process of a land use plan. Government, planners and residents, all with various requirements and preferences, are the agents participating in the plan compilation process in China. Among them, planners play a role in negotiating with related agents and then establishing land use patterns. In this chapter, we propose the Planner Agents framework to support the compilation of land use patterns based on existing Planning Support System research. Planner Agents are classified into three types: Non-spatial Planner Agent (NPA), Spatial Planner Agent (SPA) and Chief Planner Agent (CPA). These PAs work together in order to establish the land use pattern, based on the negotiation with government agent (GA) and residential agent (RA). After proposing the framework, it is tested in a small region of Beijing. The final results show that the proposed Planner Agents framework is suitable for supporting the establishment of land use patterns, and is more efficient and scientific than traditional planning methods.
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
Allen, E. (2001). INDEX: Software for community indicators. In R. K. Brail & R. E. Klosterman (Eds.), Planning support systems: Integrating geographic information systems, models, and visualization tools (pp. 229–261). Redlands: ESRI Press.
Brail, R. K. (2008). Planning support systems for cities and regions. Cambridge: Lincoln Institute of Land Policy.
Brömmelstroet, M. T. (2013). Performance of planning support systems: What is it, and how do we report on it? Computers, Environment and Urban Systems, 41, 299–308.
Couclelis, H. (2005). “Where has the future gone?” Rethinking the role of integrated land-use models in spatial planning. Environment and planning A, 37(8), 1353–1371.
Crompton, A. (2012). The entropy of LEGOÕ. Environment and Planning B: Planning and Design, 39, 174–182.
Curtis, C. (2011). Integrating land use with public transport: The use of a discursive accessibility tool to inform metropolitan spatial planning in Perth. Transport Reviews, 31(2), 179–197.
Geertman, S., & Stillwell, J. (2003). Planning support systems in practice. Heidelberg: Springer.
Geertman, S., & Stillwell, J. (2004). Planning support systems: An inventory of current practice. Computers, Environment and Urban Systems, 28(4), 291–310.
Hatna, E., & Benenson, I. (2007). Building a city in vitro: The experiment and the simulation model. Environment and Planning B: Planning and Design, 34(4), 687–707.
Jjumba, A., & Dragićević, S. (2012). High resolution urban land-use change modeling: Agent iCity approach. Applied Spatial Analysis and Policy, 5(4), 291–315.
Klosterman, R. E. (1997). Planning support systems: A new perspective on computer-aided planning. Journal of Planning Education and Research, 17(1), 45–54.
Klosterman, R. E. (1999). The what if? Collaborative planning support system. Environment and Planning B, 26, 393–408.
Klosterman, R. E., Siebert, L., Kim, J.-W., & Hoque, M. A. (2006). What if evaluation of growth management strategies for a declining region. International Journal of Environmental Technology and Management, 6(1), 79–95.
Landis, J. D. (1994). The California urban futures model: A new generation of metropolitan simulation models. Berkeley: University of California Transportation Center.
Ligtenberg, A., Bregt, A. K., & Van Lammeren, R. (2001). Multi-actor-based land use modelling: Spatial planning using agents. Landscape and Urban Planning, 56(1), 21–33.
Ligtenberg, A., Beulens, A., Kettenis, D., Bregt, A. K., & Wachowicz, M. (2009). Simulating knowledge sharing in spatial planning: An agent-based approach. Environment and planning B, Planning & Design, 36(4), 644–663.
Long, Y. (2007). Planning support system theory and practice (in Chinese). Beijing: Chemical Industry Press.
Long, Y., He, Y., Liu, X., & Du, L. (2006). Planning of the controlled-construction area in Beijing: Establishing urban expansion boundary (in Chinese). City Planning Review, 30(12), 20–26.
Long, Y., Mao, Q., Shen, Z., & Dang, A. (2010a). Beijing urban spatial development model (in Chinese). Urban and Regional Planning Study, 3(2), 180–212.
Long, Y., Shen, Z., Mao, Q., & Dang, A. (2010b). Form scenario analysis using constrained cellular automata (in Chinese). Acta Geographica Sinica, 65(6), 643–655.
Long, Y., Mao, Q., Yang, D., & Wang, J. (2011a). A multi-agent model for urban form, transportation energy consumption and environmental impact integrated simulation (in Chinese). Acta Geographica Sinica, 66(8), 1033–1035.
Long, Y., Shen, Z., & Mao, Q. (2011b). An urban containment planning support system for Beijing. Computers, Environment and Urban Systems, 35(4), 297–307.
Long, Y., Shen, Z., Mao, Q., & Hu, Z. (2011c). Urban growth control planning support system: Approach, implementation and application (in Chinese). City Planning Review, 35(3), 62–71.
Mao, F., Wang, L., Zhou, W., & He, G. (2006). Urban–rural spatial planning support system based on GIS/RS technology (in Chinese). Journal of Tsinghua University (Science and Technology), 46(9), 1495–1498.
McColl, C., & Aggett, G. (2007). Land-use forecasting and hydrologic model integration for improved land-use decision support. Journal of environmental management, 84(4), 494–512.
McGarigal, K., & Marks, B. J. (1994). Spatial pattern analysis program for quantifying landscape structure. Dolores (CO): PO Box 606:67.
Niu, X., Song, X., & Gao, X. (2008). Land use scenarios: An approach for urban master plans formulation and evaluation (in Chinese). Urban Planning Forum, 4, 64–69.
Qin, X., Duan, X., & Yang, J. (2010). Scenario simulation of urban land-use allocation and scheme evaluation based on GIS, a case study of Taicang city. Acta Geographica Sinica, 65(9), 1121–1129.
Saarloos, D., Arentze, T., Borgers, A., & Timmermans, H. (2005). A multiagent model for alternative plan generation. Environment and Planning B: Planning and Design, 32(4), 505–522.
Stevens, D., Dragicevic, S., & Rothley, K. (2007). iCity: A GIS–CA modelling tool for urban planning and decision making. Environmental Modelling & Software, 22(6), 761–773.
Vonk, G., & Ligtenberg, A. (2010). Socio-technical PSS development to improve functionality and usability – Sketch planning using a Maptable. Landscape and Urban Planning, 94(3), 166–174.
Acknowledgements
We would like to thanks for the financial support from the Beyond the Frontiers Programme (2013–2014) of Radboud University Nijmegen.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Long, Y., Shen, Z. (2015). The Planner Agents Framework for Supporting the Establishment of Land Use Patterns. In: Geospatial Analysis to Support Urban Planning in Beijing. GeoJournal Library, vol 116. Springer, Cham. https://doi.org/10.1007/978-3-319-19342-7_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-19342-7_12
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19341-0
Online ISBN: 978-3-319-19342-7
eBook Packages: Humanities, Social Sciences and LawSocial Sciences (R0)