Integrating spatial optimization and cellular automata for evaluating urban change

被引：0

作者：

Douglas P. Ward

Alan T. Murray

Stuart R. Phinn

机构：

[1] Queensland University,

[2] Department of Natural Resources,undefined

[3] 4001 Brisbane,undefined

[4] QLD,undefined

[5] Queensland,undefined

[6] Australia (e-mail: douglas.ward@epa.gld.gov.au),undefined

[7] Department of Geography,undefined

[8] The Ohio State University,undefined

[9] Columbus,undefined

[10] Ohio,undefined

[11] USA (e-mail: murray.308@osu.edu),undefined

[12] School of Geography,undefined

[13] Planning and Architecture,undefined

[14] University of Queensland,undefined

[15] 4001 Brisbane,undefined

[16] QLD Queensland,undefined

[17] Australia (e-mail: s.phinn@uq.edu.au),undefined

来源：

The Annals of Regional Science | 2003年 / 37卷

关键词：

JEL classification: C61; Q01; R11;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Urban growth and change presents numerous challenges for planners and policy makers. Effective and appropriate strategies for managing growth and change must address issues of social, environmental and economic sustainability. Doing so in practical terms is a difficult task given the uncertainty associated with likely growth trends not to mention the uncertainty associated with how social and environmental structures will respond to such change. An optimization based approach is developed for evaluating growth and change based upon spatial restrictions and impact thresholds. The spatial optimization model is integrated with a cellular automata growth simulation process. Application results are presented and discussed with respect to possible growth scenarios in south east Queensland, Australia.

引用

页码：131 / 148

页数：17

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