2010Ecological EconomyRequires access

Study on Appraisal Indicator System of Urban Land Intensive Use

Xuelei Xin

Open publisher page 3 citations

Abstract

This paper is to summarize the commonly used indicators and weight distribution of AHP in urban land intensive use,and improve the evaluation index system of urban land intensive use through studying the existing literatures which are about the appraisal of urban land intensive use in the database of CNKI.The result of this paper is that the index system gave in the paper has a high availability,because it is built through a comprehensive statistical analysis,and it can be a reference index system for the following evaluation study on urban land intensive use.

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What this paper is about

This paper is to summarize the commonly used indicators and weight distribution of AHP in urban land intensive use,and improve the evaluation index system of urban land intensive use through studying the existing literatures which are about the appraisal of urban land intensive use in the database of CNKI.The result of this paper is that the index system gave in the paper has a high availability,because it is built through a comprehensive statistical analysis,and it can be a reference index system for the following evaluation study on urban land intensive use.

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Available abstract

This paper is to summarize the commonly used indicators and weight distribution of AHP in urban land intensive use,and improve the evaluation index system of urban land intensive use through studying the existing literatures which are about the appraisal of urban land intensive use in the database of CNKI.The result of this paper is that the index system gave in the paper has a high availability,because it is built through a comprehensive statistical analysis,and it can be a reference index system for the following evaluation study on urban land intensive use.

Key concepts: Analytic hierarchy process, Index (typography), Land use, Environmental resource management, Distribution (mathematics), Environmental planning, Geography, Computer science

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