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作者

来源

INTERNATIONAL REGIONAL SCIENCE REVIEW,Vol.41,Issue6,P.579-600

语言

英文

关键字

land-use planning; spatial optimization; sustainability; GIS; land allocation; PARTICLE SWARM OPTIMIZATION; USE PLAN DESIGN; GENETIC ALGORITHM; CONTIGUITY CONSTRAINTS; URBAN SUSTAINABILITY; PROGRAMMING-MODEL; CELLULAR-AUTOMATA; DECISION-SUPPORT; PARETO FR

作者单位

[Yao, Jing] Univ Glasgow, Sch Social & Polit Sci, Urban Big Data Ctr, 7 Lilybank Gardens, Glasgow G12 8RZ, Lanark, Scotland. [Zhang, Xiaoxiang] Hohai Univ, Inst Geog Informat Sci & Engn, Nanjing, Jiangsu, Peoples R China. [Murray, Alan T.] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA. Yao, J (reprint author), Univ Glasgow, Sch Social & Polit Sci, Urban Big Data Ctr, 7 Lilybank Gardens, Glasgow G12 8RZ, Lanark, Scotland. E-Mail: jing.yao@glasgow.ac.uk

摘要

Land-use allocation has long been an important area of research in regional science. Land-use patterns are fundamental to the functions of the biosphere, creating interactions that have substantial impacts on the environment. The spatial arrangement of land uses therefore has implications for activity and travel within a region. Balancing development, economic growth, social interaction, and the protection of the natural environment is at the heart of long-term sustainability. Since land-use patterns are spatially explicit in nature, planning and management necessarily must integrate geographical information system and spatial optimization in meaningful ways if efficiency goals and objectives are to be achieved. This article reviews spatial optimization approaches that have been relied upon to support land-use planning. Characteristics of sustainable land use, particularly compactness, contiguity, and compatibility, are discussed and how spatial optimization techniques have addressed these characteristics are detailed. In particular, objectives and constraints in spatial optimization approaches are examined.