Optimal allocation model of construction land based on two-level system optimization theory

Min Liu; Yanfang Liu; Yuping Xia; Qihong Lei

doi:10.1117/12.765595

6 August 2007 Optimal allocation model of construction land based on two-level system optimization theory

Min Liu, Yanfang Liu, Yuping Xia, Qihong Lei

Proceedings Volume 6754, Geoinformatics 2007: Geospatial Information Technology and Applications; 67543O (2007) https://doi.org/10.1117/12.765595
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

The allocation of construction land is an important task in land-use planning. Whether implementation of planning decisions is a success or not, usually depends on a reasonable and scientific distribution method. Considering the constitution of land-use planning system and planning process in China, multiple levels and multiple objective decision problems is its essence. Also, planning quantity decomposition is a two-level system optimization problem and an optimal resource allocation decision problem between a decision-maker in the topper and a number of parallel decision-makers in the lower. According the characteristics of the decision-making process of two-level decision-making system, this paper develops an optimal allocation model of construction land based on two-level linear planning. In order to verify the rationality and the validity of our model, Baoan district of Shenzhen City has been taken as a test case. Under the assistance of the allocation model, construction land is allocated to ten townships of Baoan district. The result obtained from our model is compared to that of traditional method, and results show that our model is reasonable and usable. In the end, the paper points out the shortcomings of the model and further research directions.

Citation Download Citation

Min Liu, Yanfang Liu, Yuping Xia, and Qihong Lei "Optimal allocation model of construction land based on two-level system optimization theory", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67543O (6 August 2007); https://doi.org/10.1117/12.765595

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