In the phase of economic booming, more and more uncertain factors there are in land utilization. For this reason, it becomes increasingly difficult for land-use plan to forecast and control the future, which triggers the flexible land-use planning. The main content and elementary method of land-use planning is land-use structure optimization, which is regarded as a starting point in this study. Taking QianJiang city in Hubei Province as a case study, this thesis optimizes land-use structure through the concept of flexible planning and the model of grey multi-goal and dynamic programming(GMDP). The optimization scheme we acquired provides scientific reference for the city's new round of general land-use planning revision.Firstly, based on the relative research home and broad, this thesis summarizes on the theory of flexible land-use planning and gives a qualitative description of flexible land-use structure.Secondly, by analyzing the merits and drawbacks of traditional optimization methods, this thesis introduces a grey multi-goal and dynamic programming method, and describes the modeling process.Thirdly, this thesis analyzes the state of land-use conditions in QianJiang city from three aspects: the natural foundation, social-economic environment and the problems in existence of land utilization. Then, it defines the strategies and the main objectives in new round of general land-use planning.At last, this thesis aims at the study area to simulate the whole optimizing process. The design is driven as follows:(1)divides the planning period into three stages;(2)forecasts the flexible demands of land-use to get the parameters of the model;(3)puts 12 variables, 10 terms of restraining, and 3 goal functions to set up the model and solves it by applying WINQSB;(4)constructs three typical schemes, then determines the optimal one by a combination of qualitative and quantitative analysis.The study proves that it's feasible to optimize land-use structure by the GMDP with support of computer, and it shows a variety of results in the future land utilization, that reflects the flexibility of the planning... |