An NSGA-III based algorithm for urban land use planing

The data related to article entitled “Many-Objective Land Use Planning Using a Hypercube-Based NSGA-III Algorithm” Data sets consist of 3 land-use maps of a part of three cities as real data, at the parcel level on the scale 1:2000. The datasets consist of parcels layer in the form of vector data and 11 urban land-use types are defined with respect to the three service levels: local, district, and regional. The number of urban parcels in the study area is more than 2000, which covers an area of approximately 50 ha. The compatibility and dependencies between land-uses are extracted from the previous studies. The residential density with respect to the area of the residential units is extracted from the development pattern of detailed plans of 3 cities. Urban land-use access types are also extracted from the development patterns and are used in applying the constraints related to access types. All these attribute information is related to parcels in shapefile format.本数据集关联于题为《基于超立方体NSGA-III算法的多目标土地利用规划》的学术论文。本数据集包含3幅真实土地利用地图，覆盖三座城市的部分区域，数据粒度为地块级（parcel level），比例尺为1:2000。数据集采用矢量数据格式存储地块图层，并针对社区级（local）、片区级（district）、区域级（regional）三级服务层级定义了11种城市土地利用类型。研究区域内的城市地块数量超过2000个，总面积约为50公顷（ha）。土地利用间的兼容性与依存关系均提取自已有研究成果。基于住宅单元面积的住宅密度指标，提取自三座城市详细规划的开发模式。城市土地利用可达性类型同样提取自开发模式，用于施加与可达性类型相关的约束规则。上述所有属性信息均以Shapefile格式存储，与地块数据绑定关联。