A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A cellular automata model of land cover change to integrate urban growth with open space conservation
Research highlights ▶ This research develops a cellular automata model of urban growth with two scenarios: a baseline scenario that represents a continuation of current trends and an open space conservation scenario that builds upon the principles of smart growth and green infrastructure concepts. ▶ The modeling approach applies cellular automata, Markov probabilities and multi-criteria evaluation to simulate five land cover classes simultaneously. ▶ The transition rules for the CA_MARKOV module are set in the form of suitability maps based on MCE allowing for consideration of various factors that are commonly used in land use planning and decision. ▶ The approach construes a basis for meaningful examination of the landscape dynamics under different scenarios, thus providing a useful planning and decision-making tool.
Abstract The preservation of riparian zones and other environmentally sensitive areas has long been recognized as one of the most cost-effective methods of managing stormwater and providing a broad range of ecosystem services. In this research, a cellular automata (CA)—Markov chain model of land cover change was developed to integrate protection of environmentally sensitive areas into urban growth projections at a regional scale. The baseline scenario is a continuation of the current trends and involves only limited constraints on development. The green infrastructure (GI) conservation scenario incorporates an open space conservation network based on the functional boundaries of environmentally sensitive areas. It includes variable buffer widths for impaired streams (as identified on the USEPA 303d list for stream impairment), 100-year floodplain, wetlands, urban open space and steep slopes. Comparative analysis of each scenario with landscape metrics indicated that under the GI conservation scenario, the number of urban patches decreased while the extent of interspersion of urban land with green infrastructure patches increased leading to improved connectivity among open space features. The analysis provides a quantitative illustration of how our process contributes towards achieving urban planning objectives while incorporating green infrastructure.
A cellular automata model of land cover change to integrate urban growth with open space conservation
Research highlights ▶ This research develops a cellular automata model of urban growth with two scenarios: a baseline scenario that represents a continuation of current trends and an open space conservation scenario that builds upon the principles of smart growth and green infrastructure concepts. ▶ The modeling approach applies cellular automata, Markov probabilities and multi-criteria evaluation to simulate five land cover classes simultaneously. ▶ The transition rules for the CA_MARKOV module are set in the form of suitability maps based on MCE allowing for consideration of various factors that are commonly used in land use planning and decision. ▶ The approach construes a basis for meaningful examination of the landscape dynamics under different scenarios, thus providing a useful planning and decision-making tool.
Abstract The preservation of riparian zones and other environmentally sensitive areas has long been recognized as one of the most cost-effective methods of managing stormwater and providing a broad range of ecosystem services. In this research, a cellular automata (CA)—Markov chain model of land cover change was developed to integrate protection of environmentally sensitive areas into urban growth projections at a regional scale. The baseline scenario is a continuation of the current trends and involves only limited constraints on development. The green infrastructure (GI) conservation scenario incorporates an open space conservation network based on the functional boundaries of environmentally sensitive areas. It includes variable buffer widths for impaired streams (as identified on the USEPA 303d list for stream impairment), 100-year floodplain, wetlands, urban open space and steep slopes. Comparative analysis of each scenario with landscape metrics indicated that under the GI conservation scenario, the number of urban patches decreased while the extent of interspersion of urban land with green infrastructure patches increased leading to improved connectivity among open space features. The analysis provides a quantitative illustration of how our process contributes towards achieving urban planning objectives while incorporating green infrastructure.
A cellular automata model of land cover change to integrate urban growth with open space conservation
Mitsova, Diana (author) / Shuster, William (author) / Wang, Xinhao (author)
Landscape and Urban Planning ; 99 ; 141-153
2010-10-18
13 pages
Article (Journal)
Electronic Resource
English
A cellular automata model for urban land-use simulation
| Online Contents | 2005
A cellular automata model for urban land-use simulation
| British Library Online Contents | 2005