Spatial optimization method for sustainable multiobjective land use allocation

As one of the core research aspect in Land use and land cover change, the optimal allocation of land use is soon becoming the key measure for sustainable land utilization. In this paper, we designed a method that could implement the multiobjective optimization model for sustainable land use in space automatically, thus we could obtain spatial optimal allocation. Yangshan Town was taken as the research district. First of all, analyzed land use structure which used to build a Digital Elevation Model in GIS technique, extracted land use pattern, aspect, slope from it, land suitability evaluation was calculated by altitude, soil quality and other eco-factors. Subsequently the research area was divided into four parts namely optimizing development zone, major development zone, limited development zone, and prohibited development zone based on their suitability. Thirdly, in accordance with the base map, adopted the depth-first search strategy to implement the structure optimal allocation in graphs with land suitability evaluation as threshold. The result showed that: (1) this method proposed a simple way that used quantity optimal outcomes to allocate in space, it could reduce the complexity in building a land use spatial optimization model, if dynamic elements such as timing, human behavior, etc. were less important risk factors while we took into account. (2) For considering the connection of graph, it could efficiently solve fragmentation compared with nothing but land suitability evaluation. (3) It could provide a convenient and precise approach for government land use planning.