File Download
There are no files associated with this item.
Supplementary
-
Citations:
- Appears in Collections:
Book Chapter: Cellular automata modelling for urban planning in fast-growth regions
Title | Cellular automata modelling for urban planning in fast-growth regions |
---|---|
Authors | |
Issue Date | 2020 |
Publisher | Edward Elgar Publishing |
Citation | Cellular automata modelling for urban planning in fast-growth regions. In Geertman, S & Stillwell, J (Eds.), Handbook of Planning Support Science, p. 397-415. Cheltenham, UK: Edward Elgar Publishing, 2020 How to Cite? |
Abstract | The past three decades have witnessed the rapid development of geosimulation technology, such as cellular automata (CA) and agent-based modelling (ABM), for solving various geographical problems in rapidly growing regions. This chapter summarizes the main applications of CA for researchers and decision-makers to solve the environmental and planning problems associated with urban sprawl, illegal development and improper facility sitting. An integrated CA-based model, the Geographical Simulation and Optimization System (GeoSOS), has been applied to tackle a wide spectrum of environmental and resource management issues, such as the zoning of basic farmland protection areas, coupling land-use dynamics with facility sitting, and delineation of urban growth boundaries. Our studies have shown that CA models are capable of evaluating land-use policies and predicting illegal developments for early warning purposes. The simulation of using CA provides valuable experiences for urban researchers and planners to solve a series of simulation and planning problems in fast-growing regions. |
Persistent Identifier | http://hdl.handle.net/10722/287874 |
ISBN | |
Series/Report no. | Research Handbooks in Planning |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Li, X | - |
dc.contributor.author | Yeh, AGO | - |
dc.date.accessioned | 2020-10-05T12:04:30Z | - |
dc.date.available | 2020-10-05T12:04:30Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Cellular automata modelling for urban planning in fast-growth regions. In Geertman, S & Stillwell, J (Eds.), Handbook of Planning Support Science, p. 397-415. Cheltenham, UK: Edward Elgar Publishing, 2020 | - |
dc.identifier.isbn | 9781788971072 | - |
dc.identifier.uri | http://hdl.handle.net/10722/287874 | - |
dc.description.abstract | The past three decades have witnessed the rapid development of geosimulation technology, such as cellular automata (CA) and agent-based modelling (ABM), for solving various geographical problems in rapidly growing regions. This chapter summarizes the main applications of CA for researchers and decision-makers to solve the environmental and planning problems associated with urban sprawl, illegal development and improper facility sitting. An integrated CA-based model, the Geographical Simulation and Optimization System (GeoSOS), has been applied to tackle a wide spectrum of environmental and resource management issues, such as the zoning of basic farmland protection areas, coupling land-use dynamics with facility sitting, and delineation of urban growth boundaries. Our studies have shown that CA models are capable of evaluating land-use policies and predicting illegal developments for early warning purposes. The simulation of using CA provides valuable experiences for urban researchers and planners to solve a series of simulation and planning problems in fast-growing regions. | - |
dc.language | eng | - |
dc.publisher | Edward Elgar Publishing | - |
dc.relation.ispartof | Handbook of Planning Support Science | - |
dc.relation.ispartofseries | Research Handbooks in Planning | - |
dc.title | Cellular automata modelling for urban planning in fast-growth regions | - |
dc.type | Book_Chapter | - |
dc.identifier.email | Yeh, AGO: hdxugoy@hkucc.hku.hk | - |
dc.identifier.authority | Yeh, AGO=rp01033 | - |
dc.identifier.doi | 10.4337/9781788971089.00037 | - |
dc.identifier.hkuros | 315008 | - |
dc.identifier.spage | 397 | - |
dc.identifier.epage | 415 | - |
dc.publisher.place | Cheltenham, UK | - |