Integrating spatial optimization and cellular automata for evaluating urban change

被引：43

作者：

Ward, DP ^{[1
]}

Murray, AT

Phinn, SR

机构：

[1] Univ Queensland, Dept Nat Resources, Brisbane, Qld 4001, Australia

[2] Ohio State Univ, Dept Geog, Columbus, OH 43210 USA

[3] Univ Queensland, Sch Geog Planning & Architecture, Brisbane, Qld 4001, Australia

来源：

ANNALS OF REGIONAL SCIENCE | 2003年 / 37卷 / 01期

关键词：

JEL classification: C61; Q01; R11;

D O I：

10.1007/s001680200113

中图分类号：

F [经济];

学科分类号：

02 ;

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：18

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