【作者】 张蕾；

【导师】 孙毅中；

【作者基本信息】 南京师范大学 ， 地图学与地理信息系统， 2015， 硕士

【摘要】 伴随着城市化进程的加快,城市规模不断扩大,政府需要管控的区域越来越多,为高效管理与日俱增的城市基础地理数据和规划数据,需要对城市划分规模合理、无缝全覆盖的规划单元。目前,不同城市根据自身特点形成了各自的规划编制单元体系,城市规划数据存在关联性差、规划管理衔接不到位等问题。在现有的城市规划编制单元的研究中,众学者对规划单元的划分原则和组织结构进行了分析,而在规划单元划分方法上仍然采用手工方法,具有较大的主观性和随意性,对于规划单元自动划分和统一编码的研究较少。基于以上不足,本文在分析城市规划成果数据特征以及规划编制单元特征的基础上,提出城市规划单元的五级层次体系,探讨了层次空间推理方法在城市规划多级编制单元自动划分与编码上的运用,并进行了实例验证。本文研究内容与主要成果如下：(1)分析了城市规划数据的属性、几何、多尺度和关系特征,研究了城市规划单元的编制方法和单元特征,总结了典型城市规划单元的划分方案,提出“居住地块—社区—组团—街道—片区”的城市规划单元五级层次体系。(2)依据城市规划单元的特征和编制方法,从单元的划分因素、因素权重、面积、紧凑度、用地功能、人口容量几个方面构建划分城市规划多级编制单元的规则。根据规则从城市基础数据中提取城市最小单元地块,以最小单元地块为最低层次空间,设计基于层次空间推理的城市规划多级编制单元自动划分算法。(3)研究了城市规划多级编制单元的编码结构,分别对各个级别的规划编制单元进行编码,编码由行政区划码、单元层次码、单元位置码、单元属性码、单元轮廓码5个部分组成,关联了城市规划单元的位置、属性、几何信息。(4)以丽水市莲都区城市基础数据和用地数据为例,根据本文所提出的城市规划单元层次空间推理算法,实现了城市规划单元的自动划分和编码。将本研究划分的城市规划层次单元与现有规划成果进行对比分析,验证了本文方法的有效性；本研究提出的编码方法更加规范,编码信息丰富,不仅可以唯一标识规划单元,还可以从编码结果提取规划单元的信息。本研究为城市规划多级编制单元划分提供了一种新方法,提高了城市规划单元划分与编码的效率,为城市规划数据的组织提供了技术支持,也为城市总规和详规的衔接、城市规划和土地利用规划的衔接奠定了基础。更多还原

【Abstract】 With the acceleration of urbanization, the size of city continues to expand which brings growing number of regions for government to control. To achieve high-efficient govern on increasing basic geographic urban data and urban planning data, reasonable, seamless and full-covered region partition among urban planning unit has to be accomplished. At present, due to the lack of uniform standards and norms, planning unit system has formed respectively according to the characteristics in different cities which indicate poor connections and displaced management propaganda and other issues of urban planning data in different levels. In the study of the existing urban planning unit, many scholars analyzed the planning unit partition in terms of its principles and structure while manual methods with great subjectivity and arbitrariness are commonly deployed. Therefore, few studies on automatic classification and unified coding of planning units have emerged.According to the deficiencies above and on the basis of the characteristics of urban planning accomplishment data and planning unit features, this paper proposed five-level urban planning unit hierarchy, explored how the hierarchical spatial reasoning is worked on auto-partition of multilevel urban planning units as well as the coding system, and testified as well. The contents and results of this thesis are as following:(1) This paper analyzes the following characteristics of urban planning data: attributes, geometry, multiscale and relationship, also analyzes the characteristics of compilation method and planning units. While giving a summary of typical urban planning units partition plan, the five-level urban planning unit hierarchy——"Resident-Community-Group-Street-Area" is also proposed.(2)According to the urban planning units’features and method, the paper sets up rules for multilevel urban planning unit partition in terms of hierarchical partition factors including weight, unit area threshold, compactness threshold and land function. Depending on the rules above, it extracts the smallest unit of urban land planning which is seen as the lowest level. On account of this, auto-partition algorithm of multilevel urban planning units based on hierarchical spatial reasoning is designed.(3)This paper studied the coding rules for the multilevel urban planning units so as to actually code the planning unit in different levels respectively. For instance, coding structure consists of administrative division code, unit level code, unit location code, unit attributes code and unit outline code, which associated with the urban planning unit’s location, attributes and geometry information.(4) The basic data and land data of Liandu district in Lishui City is used as an example. According to the proposed urban planning unit hierarchical spatial reasoning algorithm, auto-partition of urban planning unit and coding system have been realized. Moreover, this partition is analyzed in comparison with the given urban planning partition result, which verified the validity of the method; the proposed coding method is more normative, it not only can unique identify the planning units, but also extract the information of planning units from coding result.In this paper, a new method of hierarchical division of urban planning units is proposed that improve the efficiency of partition and coding for urban planning units, and provided the technical support for the organization of urban planning data. Meanwhile, foundations have been set for the cohesion between comprehensive planning and detailed urban planning as well as cohesion between urban planning and land use planning.更多还原