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《基于超立方体的NSGA-III算法的多目标土地利用规划》的研究论文。数据集包含三座城市部分区域的3幅实景土地利用地图，数据采用1:2000比例尺，粒度为地块级。数据集以矢量数据格式存储地块图层，并针对本地、区级、区域三级服务层级，划定了11类城市土地利用类型。研究区域内的城市地块总数超过2000个，总占地面积约50公顷。各类土地利用间的兼容性与依存关系均源自已有研究成果。结合居住单元面积计算的居住密度参数，提取自三座城市的详细规划开发格局。城市土地利用可达性类型同样提取自开发格局，用于施加可达性类型相关约束条件。上述所有属性信息均以Shapefile格式与地块数据关联存储。